AZong76
commented
3 months ago 希望能得到您的帮助！！感谢
Open AZong76 opened 3 months ago
AZong76
commented
3 months ago 希望能得到您的帮助！！感谢
llyyccccc
commented
3 months ago 我训练也是这样的问题
AZong76
commented
3 months ago 我训练也是这样的问题
请问你还试过其他遥感数据集吗？我在postdam、vaihingen、loveda上都没有这个问题，可以正常训练。唯独isaid 一直没有精度
llyyccccc
commented
3 months ago None
2024-03-13 09:07:47,675 - mmseg - INFO - OpenCV num_threads is `32
fatal: not a git repository (or any of the parent directories): .git
2024-03-13 09:07:47,738 - mmseg - INFO - Environment info:sys.platform: linux Python: 3.8.3 (default, Jul 2 2020, 16:21:59) [GCC 7.3.0] CUDA available: True GPU 0: NVIDIA TITAN Xp CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 11.0, V11.0.194 GCC: gcc (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0 PyTorch: 1.12.0+cu113 PyTorch compiling details: PyTorch built with:
2024-03-13 09:07:47,738 - mmseg - INFO - Distributed training: False 2024-03-13 09:07:48,101 - mmseg - INFO - Config: checkpoint_teacher = 'pretrain/Teacher_SegFormer_B3_ADE.pth' checkpoint_backbone = 'pretrain/SCT-B_Pretrain.pth' norm_cfg = dict(type='BN', requires_grad=True) model = dict( type='EncoderDecoder_Distill', pretrained=None, backbone=dict( type='SCTNet', init_cfg=dict( type='Pretrained', checkpoint='pretrain/SCT-B_Pretrain.pth'), base_channels=64, spp_channels=128), decode_head=dict( type='SCTHead', in_channels=256, channels=256, dropout_ratio=0.0, in_index=0, num_classes=2, align_corners=False, loss_decode=dict( type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), auxiliary_head=[ dict( type='AU_SCTHead', in_channels=128, channels=128, dropout_ratio=0.0, in_index=1, num_classes=2, align_corners=False, loss_decode=dict( type='CrossEntropyLoss', use_sigmoid=False, loss_weight=0.4)), dict( type='VitGuidanceHead', init_cfg=dict( type='Pretrained', checkpoint='pretrain/Teacher_SegFormer_B3_ADE.pth'), in_channels=256, channels=256, base_channels=64, in_index=2, num_classes=2, loss_decode=dict( type='AlignmentLoss', loss_weight=[3, 15, 15, 15])) ], train_cfg=dict(), test_cfg=dict(mode='whole')) dataset_type = 'ADE20KDataset' data_root = 'fissureDataset' img_norm_cfg = dict( mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) crop_size = (512, 512) train_pipeline = [ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', reduce_zero_label=True), dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), dict(type='RandomFlip', prob=0.5), dict(type='PhotoMetricDistortion'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=255), dict(type='DefaultFormatBundle'), dict(type='Collect', keys=['img', 'gt_semantic_seg']) ] test_pipeline = [ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(2048, 512), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ] data = dict( samples_per_gpu=8, workers_per_gpu=4, train=dict( type='ADE20KDataset', data_root='fissureDataset', img_dir='images/training', ann_dir='annotations/training', pipeline=[ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', reduce_zero_label=True), dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), dict(type='RandomFlip', prob=0.5), dict(type='PhotoMetricDistortion'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=255), dict(type='DefaultFormatBundle'), dict(type='Collect', keys=['img', 'gt_semantic_seg']) ]), val=dict( type='ADE20KDataset', data_root='fissureDataset', img_dir='images/validation', ann_dir='annotations/validation', pipeline=[ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(2048, 512), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ]), test=dict( type='ADE20KDataset', data_root='fissureDataset', img_dir='images/validation', ann_dir='annotations/validation', pipeline=[ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(2048, 512), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ])) log_config = dict( interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) dist_params = dict(backend='nccl') log_level = 'INFO' load_from = None resume_from = None workflow = [('train', 1)] cudnn_benchmark = True optimizer = dict( type='AdamW', lr=0.0005, betas=(0.9, 0.999), weight_decay=0.01, paramwise_cfg=dict( custom_keys=dict( head=dict(lr_mult=10.0), teacher_backbone=dict(lr_mult=0.0), teacher_head=dict(lr_mult=0.0), norm=dict(decay_mult=0.0)))) optimizer_config = dict() lr_config = dict( policy='poly', warmup='linear', warmup_iters=1500, warmup_ratio=1e-06, power=1.0, min_lr=0, by_epoch=False) runner = dict(type='IterBasedRunner', max_iters=160000) checkpoint_config = dict(by_epoch=False, interval=4000) evaluation = dict(interval=8000, metric='mIoU', pre_eval=True) find_unused_parameters = True auto_resume = False seed = 1440161127 work_dir = 'work_dir' gpu_ids = [0]
2024-03-13 09:07:48,101 - mmseg - INFO - Set random seed to 1440161127, deterministic: False
2024-03-13 09:07:48,281 - mmseg - INFO - initialize SCTNet with init_cfg {'type': 'Pretrained', 'checkpoint': 'pretrain/SCT-B_Pretrain.pth'}
2024-03-13 09:07:48,282 - mmcv - INFO - load model from: pretrain/SCT-B_Pretrain.pth
2024-03-13 09:07:48,283 - mmcv - INFO - load checkpoint from local path: pretrain/SCT-B_Pretrain.pth
/home/xiaoyi/SCTNet-master/mmseg/models/losses/cross_entropy_loss.py:235: UserWarning: Default avg_non_ignore is False, if you would like to ignore the certain label and average loss over non-ignore labels, which is the same with PyTorch official cross_entropy, set avg_non_ignore=True.
warnings.warn(
2024-03-13 09:07:48,904 - mmseg - INFO - initialize VitGuidanceHead with init_cfg {'type': 'Pretrained', 'checkpoint': 'pretrain/Teacher_SegFormer_B3_ADE.pth'}
2024-03-13 09:07:48,905 - mmcv - INFO - load model from: pretrain/Teacher_SegFormer_B3_ADE.pth
2024-03-13 09:07:48,905 - mmcv - INFO - load checkpoint from local path: pretrain/Teacher_SegFormer_B3_ADE.pth
2024-03-13 09:07:49,259 - mmcv - WARNING - The model and loaded state dict do not match exactly
size mismatch for teacher_head.conv_seg.weight: copying a param with shape torch.Size([150, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([2, 256, 1, 1]). size mismatch for teacher_head.conv_seg.bias: copying a param with shape torch.Size([150]) from checkpoint, the shape in current model is torch.Size([2]). missing keys in source state_dict: feature_transforms.weight, feature_transforms.bias, convstage4.weight, convstage4.bias, convstage3.weight, convstage3.bias
2024-03-13 09:07:49,379 - mmseg - INFO - initialize SCTNet with init_cfg {'type': 'Pretrained', 'checkpoint': 'pretrain/SCT-B_Pretrain.pth'}
2024-03-13 09:07:49,379 - mmcv - INFO - load model from: pretrain/SCT-B_Pretrain.pth
2024-03-13 09:07:49,379 - mmcv - INFO - load checkpoint from local path: pretrain/SCT-B_Pretrain.pth
train.py:209: UserWarning: SyncBN is only supported with DDP. To be compatible with DP, we convert SyncBN to BN. Please use dist_train.sh which can avoid this error.
warnings.warn(
2024-03-13 09:07:49,501 - mmseg - INFO - EncoderDecoder_Distill(
(backbone): SCTNet(
(conv1): Sequential(
(0): Conv2d(3, 64, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1))
(1): _BatchNormXd(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(2): ReLU()
(3): Conv2d(64, 64, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1))
(4): _BatchNormXd(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(5): ReLU()
)
(relu): ReLU()
(layer1): Sequential(
(0): BasicBlock(
(conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(bn1): _BatchNormXd(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU()
(conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(bn2): _BatchNormXd(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
(1): BasicBlock(
(conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(bn1): _BatchNormXd(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU()
(conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(bn2): _BatchNormXd(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
)
(layer2): Sequential(
(0): BasicBlock(
(conv1): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1))
(bn1): _BatchNormXd(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU()
(conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(bn2): _BatchNormXd(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(downsample): Sequential(
(0): Conv2d(64, 128, kernel_size=(1, 1), stride=(2, 2))
(1): _BatchNormXd(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
)
(1): BasicBlock(
(conv1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(bn1): _BatchNormXd(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU()
(conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(bn2): _BatchNormXd(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
)
(layer3): Sequential(
(0): BasicBlock(
(conv1): Conv2d(128, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1))
(bn1): _BatchNormXd(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU()
(conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(bn2): _BatchNormXd(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(downsample): Sequential(
(0): Conv2d(128, 256, kernel_size=(1, 1), stride=(2, 2))
(1): _BatchNormXd(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
)
(1): BasicBlock(
(conv1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(bn1): _BatchNormXd(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU()
(conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(bn2): _BatchNormXd(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
)
(layer3_2): CFBlock(
(attn_l): ConvolutionalAttention(
(norm): _BatchNormXd(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
(mlp_l): MLP(
(norm): _BatchNormXd(256, eps=1e-06, momentum=0.1, affine=True, track_running_stats=True)
(conv1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(act): GELU(approximate=none)
(conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(drop): Dropout(p=0.0, inplace=False)
)
(drop_path): DropPath(drop_prob=0.100)
)
(convdown4): Sequential(
(0): Conv2d(256, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1))
(1): _BatchNormXd(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(2): ReLU()
)
(layer4): CFBlock(
(attn_l): ConvolutionalAttention(
(norm): _BatchNormXd(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
(mlp_l): MLP(
(norm): _BatchNormXd(512, eps=1e-06, momentum=0.1, affine=True, track_running_stats=True)
(conv1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(act): GELU(approximate=none)
(conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(drop): Dropout(p=0.0, inplace=False)
)
(drop_path): DropPath(drop_prob=0.100)
)
(layer5): CFBlock(
(attn_l): ConvolutionalAttention(
(norm): _BatchNormXd(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
(mlp_l): MLP(
(norm): _BatchNormXd(512, eps=1e-06, momentum=0.1, affine=True, track_running_stats=True)
(conv1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(act): GELU(approximate=none)
(conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(drop): Dropout(p=0.0, inplace=False)
)
(drop_path): DropPath(drop_prob=0.100)
)
(spp): DAPPM_head(
(scale1): Sequential(
(0): AvgPool2d(kernel_size=5, stride=2, padding=2)
(1): _BatchNormXd(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(2): ReLU()
(3): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1))
)
(scale2): Sequential(
(0): AvgPool2d(kernel_size=9, stride=4, padding=4)
(1): _BatchNormXd(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(2): ReLU()
(3): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1))
)
(scale3): Sequential(
(0): AvgPool2d(kernel_size=17, stride=8, padding=8)
(1): _BatchNormXd(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(2): ReLU()
(3): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1))
)
(scale4): Sequential(
(0): AdaptiveAvgPool2d(output_size=(1, 1))
(1): _BatchNormXd(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(2): ReLU()
(3): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1))
)
(scale0): Sequential(
(0): _BatchNormXd(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(1): ReLU()
(2): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1))
)
(process1): Sequential(
(0): _BatchNormXd(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(1): ReLU()
(2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
(process2): Sequential(
(0): _BatchNormXd(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(1): ReLU()
(2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
(process3): Sequential(
(0): _BatchNormXd(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(1): ReLU()
(2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
(process4): Sequential(
(0): _BatchNormXd(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(1): ReLU()
(2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
(compression): Sequential(
(0): _BatchNormXd(640, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(1): ReLU()
(2): Conv2d(640, 128, kernel_size=(1, 1), stride=(1, 1))
)
(shortcut): Sequential(
(0): _BatchNormXd(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(1): ReLU()
(2): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1))
)
)
)
init_cfg={'type': 'Pretrained', 'checkpoint': 'pretrain/SCT-B_Pretrain.pth'}
(decode_head): SCTHead(
input_transform=None, ignore_index=255, align_corners=False
(loss_decode): CrossEntropyLoss(avg_non_ignore=False)
(conv_seg): Conv2d(256, 2, kernel_size=(1, 1), stride=(1, 1))
(bn1): _BatchNormXd(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(bn2): _BatchNormXd(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU()
)
init_cfg={'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}}
(auxiliary_head): ModuleList(
(0): AU_SCTHead(
input_transform=None, ignore_index=255, align_corners=False
(loss_decode): CrossEntropyLoss(avg_non_ignore=False)
(conv_seg): Conv2d(128, 2, kernel_size=(1, 1), stride=(1, 1))
(bn1): _BatchNormXd(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(bn2): _BatchNormXd(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU()
)
init_cfg={'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}}
(1): VitGuidanceHead(
input_transform=None, ignore_index=255, align_corners=False
(loss_decode): AlignmentLoss()
(conv_seg): None
(dropout): Dropout2d(p=0.1, inplace=False)
(feature_transforms): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1))
(convstage4): Conv2d(512, 512, kernel_size=(1, 1), stride=(1, 1))
(convstage3): Conv2d(256, 320, kernel_size=(1, 1), stride=(1, 1))
(teacher_backbone): MixVisionTransformer(
(layers): ModuleList(
(0): ModuleList(
(0): PatchEmbed(
(projection): Conv2d(3, 64, kernel_size=(7, 7), stride=(4, 4), padding=(3, 3))
(norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True)
)
(1): ModuleList(
(0): TransformerEncoderLayer(
(norm1): LayerNorm((64,), eps=1e-06, elementwise_affine=True)
(attn): EfficientMultiheadAttention(
(attn): MultiheadAttention(
(out_proj): NonDynamicallyQuantizableLinear(in_features=64, out_features=64, bias=True)
)
(proj_drop): Dropout(p=0.0, inplace=False)
(dropout_layer): DropPath()
(sr): Conv2d(64, 64, kernel_size=(8, 8), stride=(8, 8))
(norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True)
)
(norm2): LayerNorm((64,), eps=1e-06, elementwise_affine=True)
(ffn): MixFFN(
(activate): GELU(approximate=none)
(layers): Sequential(
(0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256)
(2): GELU(approximate=none)
(3): Dropout(p=0.0, inplace=False)
(4): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1))
(5): Dropout(p=0.0, inplace=False)
)
(dropout_layer): DropPath()
)
)
(1): TransformerEncoderLayer(
(norm1): LayerNorm((64,), eps=1e-06, elementwise_affine=True)
(attn): EfficientMultiheadAttention(
(attn): MultiheadAttention(
(out_proj): NonDynamicallyQuantizableLinear(in_features=64, out_features=64, bias=True)
)
(proj_drop): Dropout(p=0.0, inplace=False)
(dropout_layer): DropPath()
(sr): Conv2d(64, 64, kernel_size=(8, 8), stride=(8, 8))
(norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True)
)
(norm2): LayerNorm((64,), eps=1e-06, elementwise_affine=True)
(ffn): MixFFN(
(activate): GELU(approximate=none)
(layers): Sequential(
(0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256)
(2): GELU(approximate=none)
(3): Dropout(p=0.0, inplace=False)
(4): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1))
(5): Dropout(p=0.0, inplace=False)
)
(dropout_layer): DropPath()
)
)
(2): TransformerEncoderLayer(
(norm1): LayerNorm((64,), eps=1e-06, elementwise_affine=True)
(attn): EfficientMultiheadAttention(
(attn): MultiheadAttention(
(out_proj): NonDynamicallyQuantizableLinear(in_features=64, out_features=64, bias=True)
)
(proj_drop): Dropout(p=0.0, inplace=False)
(dropout_layer): DropPath()
(sr): Conv2d(64, 64, kernel_size=(8, 8), stride=(8, 8))
(norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True)
)
(norm2): LayerNorm((64,), eps=1e-06, elementwise_affine=True)
(ffn): MixFFN(
(activate): GELU(approximate=none)
(layers): Sequential(
(0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256)
(2): GELU(approximate=none)
(3): Dropout(p=0.0, inplace=False)
(4): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1))
(5): Dropout(p=0.0, inplace=False)
)
(dropout_layer): DropPath()
)
)
)
(2): LayerNorm((64,), eps=1e-06, elementwise_affine=True)
)
(1): ModuleList(
(0): PatchEmbed(
(projection): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1))
(norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True)
)
(1): ModuleList(
(0): TransformerEncoderLayer(
(norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True)
(attn): EfficientMultiheadAttention(
(attn): MultiheadAttention(
(out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True)
)
(proj_drop): Dropout(p=0.0, inplace=False)
(dropout_layer): DropPath()
(sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4))
(norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True)
)
(norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True)
(ffn): MixFFN(
(activate): GELU(approximate=none)
(layers): Sequential(
(0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512)
(2): GELU(approximate=none)
(3): Dropout(p=0.0, inplace=False)
(4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1))
(5): Dropout(p=0.0, inplace=False)
)
(dropout_layer): DropPath()
)
)
(1): TransformerEncoderLayer(
(norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True)
(attn): EfficientMultiheadAttention(
(attn): MultiheadAttention(
(out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True)
)
(proj_drop): Dropout(p=0.0, inplace=False)
(dropout_layer): DropPath()
(sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4))
(norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True)
)
(norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True)
(ffn): MixFFN(
(activate): GELU(approximate=none)
(layers): Sequential(
(0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512)
(2): GELU(approximate=none)
(3): Dropout(p=0.0, inplace=False)
(4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1))
(5): Dropout(p=0.0, inplace=False)
)
(dropout_layer): DropPath()
)
)
(2): TransformerEncoderLayer(
(norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True)
(attn): EfficientMultiheadAttention(
(attn): MultiheadAttention(
(out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True)
)
(proj_drop): Dropout(p=0.0, inplace=False)
(dropout_layer): DropPath()
(sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4))
(norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True)
)
(norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True)
(ffn): MixFFN(
(activate): GELU(approximate=none)
(layers): Sequential(
(0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512)
(2): GELU(approximate=none)
(3): Dropout(p=0.0, inplace=False)
(4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1))
(5): Dropout(p=0.0, inplace=False)
)
(dropout_layer): DropPath()
)
)
(3): TransformerEncoderLayer(
(norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True)
(attn): EfficientMultiheadAttention(
(attn): MultiheadAttention(
(out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True)
)
(proj_drop): Dropout(p=0.0, inplace=False)
(dropout_layer): DropPath()
(sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4))
(norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True)
)
(norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True)
(ffn): MixFFN(
(activate): GELU(approximate=none)
(layers): Sequential(
(0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512)
(2): GELU(approximate=none)
(3): Dropout(p=0.0, inplace=False)
(4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1))
(5): Dropout(p=0.0, inplace=False)
)
(dropout_layer): DropPath()
)
)
)
(2): LayerNorm((128,), eps=1e-06, elementwise_affine=True)
)
(2): ModuleList(
(0): PatchEmbed(
(projection): Conv2d(128, 320, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1))
(norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
)
(1): ModuleList(
(0): TransformerEncoderLayer(
(norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(attn): EfficientMultiheadAttention(
(attn): MultiheadAttention(
(out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True)
)
(proj_drop): Dropout(p=0.0, inplace=False)
(dropout_layer): DropPath()
(sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2))
(norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
)
(norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(ffn): MixFFN(
(activate): GELU(approximate=none)
(layers): Sequential(
(0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280)
(2): GELU(approximate=none)
(3): Dropout(p=0.0, inplace=False)
(4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1))
(5): Dropout(p=0.0, inplace=False)
)
(dropout_layer): DropPath()
)
)
(1): TransformerEncoderLayer(
(norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(attn): EfficientMultiheadAttention(
(attn): MultiheadAttention(
(out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True)
)
(proj_drop): Dropout(p=0.0, inplace=False)
(dropout_layer): DropPath()
(sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2))
(norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
)
(norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(ffn): MixFFN(
(activate): GELU(approximate=none)
(layers): Sequential(
(0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280)
(2): GELU(approximate=none)
(3): Dropout(p=0.0, inplace=False)
(4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1))
(5): Dropout(p=0.0, inplace=False)
)
(dropout_layer): DropPath()
)
)
(2): TransformerEncoderLayer(
(norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(attn): EfficientMultiheadAttention(
(attn): MultiheadAttention(
(out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True)
)
(proj_drop): Dropout(p=0.0, inplace=False)
(dropout_layer): DropPath()
(sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2))
(norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
)
(norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(ffn): MixFFN(
(activate): GELU(approximate=none)
(layers): Sequential(
(0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280)
(2): GELU(approximate=none)
(3): Dropout(p=0.0, inplace=False)
(4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1))
(5): Dropout(p=0.0, inplace=False)
)
(dropout_layer): DropPath()
)
)
(3): TransformerEncoderLayer(
(norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(attn): EfficientMultiheadAttention(
(attn): MultiheadAttention(
(out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True)
)
(proj_drop): Dropout(p=0.0, inplace=False)
(dropout_layer): DropPath()
(sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2))
(norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
)
(norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(ffn): MixFFN(
(activate): GELU(approximate=none)
(layers): Sequential(
(0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280)
(2): GELU(approximate=none)
(3): Dropout(p=0.0, inplace=False)
(4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1))
(5): Dropout(p=0.0, inplace=False)
)
(dropout_layer): DropPath()
)
)
(4): TransformerEncoderLayer(
(norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(attn): EfficientMultiheadAttention(
(attn): MultiheadAttention(
(out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True)
)
(proj_drop): Dropout(p=0.0, inplace=False)
(dropout_layer): DropPath()
(sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2))
(norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
)
(norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(ffn): MixFFN(
(activate): GELU(approximate=none)
(layers): Sequential(
(0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280)
(2): GELU(approximate=none)
(3): Dropout(p=0.0, inplace=False)
(4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1))
(5): Dropout(p=0.0, inplace=False)
)
(dropout_layer): DropPath()
)
)
(5): TransformerEncoderLayer(
(norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(attn): EfficientMultiheadAttention(
(attn): MultiheadAttention(
(out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True)
)
(proj_drop): Dropout(p=0.0, inplace=False)
(dropout_layer): DropPath()
(sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2))
(norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
)
(norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(ffn): MixFFN(
(activate): GELU(approximate=none)
(layers): Sequential(
(0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280)
(2): GELU(approximate=none)
(3): Dropout(p=0.0, inplace=False)
(4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1))
(5): Dropout(p=0.0, inplace=False)
)
(dropout_layer): DropPath()
)
)
(6): TransformerEncoderLayer(
(norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(attn): EfficientMultiheadAttention(
(attn): MultiheadAttention(
(out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True)
)
(proj_drop): Dropout(p=0.0, inplace=False)
(dropout_layer): DropPath()
(sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2))
(norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
)
(norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(ffn): MixFFN(
(activate): GELU(approximate=none)
(layers): Sequential(
(0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280)
(2): GELU(approximate=none)
(3): Dropout(p=0.0, inplace=False)
(4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1))
(5): Dropout(p=0.0, inplace=False)
)
(dropout_layer): DropPath()
)
)
(7): TransformerEncoderLayer(
(norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(attn): EfficientMultiheadAttention(
(attn): MultiheadAttention(
(out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True)
)
(proj_drop): Dropout(p=0.0, inplace=False)
(dropout_layer): DropPath()
(sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2))
(norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
)
(norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(ffn): MixFFN(
(activate): GELU(approximate=none)
(layers): Sequential(
(0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280)
(2): GELU(approximate=none)
(3): Dropout(p=0.0, inplace=False)
(4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1))
(5): Dropout(p=0.0, inplace=False)
)
(dropout_layer): DropPath()
)
)
(8): TransformerEncoderLayer(
(norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(attn): EfficientMultiheadAttention(
(attn): MultiheadAttention(
(out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True)
)
(proj_drop): Dropout(p=0.0, inplace=False)
(dropout_layer): DropPath()
(sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2))
(norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
)
(norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(ffn): MixFFN(
(activate): GELU(approximate=none)
(layers): Sequential(
(0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280)
(2): GELU(approximate=none)
(3): Dropout(p=0.0, inplace=False)
(4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1))
(5): Dropout(p=0.0, inplace=False)
)
(dropout_layer): DropPath()
)
)
(9): TransformerEncoderLayer(
(norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(attn): EfficientMultiheadAttention(
(attn): MultiheadAttention(
(out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True)
)
(proj_drop): Dropout(p=0.0, inplace=False)
(dropout_layer): DropPath()
(sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2))
(norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
)
(norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(ffn): MixFFN(
(activate): GELU(approximate=none)
(layers): Sequential(
(0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280)
(2): GELU(approximate=none)
(3): Dropout(p=0.0, inplace=False)
(4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1))
(5): Dropout(p=0.0, inplace=False)
)
(dropout_layer): DropPath()
)
)
(10): TransformerEncoderLayer(
(norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(attn): EfficientMultiheadAttention(
(attn): MultiheadAttention(
(out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True)
)
(proj_drop): Dropout(p=0.0, inplace=False)
(dropout_layer): DropPath()
(sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2))
(norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
)
(norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(ffn): MixFFN(
(activate): GELU(approximate=none)
(layers): Sequential(
(0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280)
(2): GELU(approximate=none)
(3): Dropout(p=0.0, inplace=False)
(4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1))
(5): Dropout(p=0.0, inplace=False)
)
(dropout_layer): DropPath()
)
)
(11): TransformerEncoderLayer(
(norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(attn): EfficientMultiheadAttention(
(attn): MultiheadAttention(
(out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True)
)
(proj_drop): Dropout(p=0.0, inplace=False)
(dropout_layer): DropPath()
(sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2))
(norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
)
(norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(ffn): MixFFN(
(activate): GELU(approximate=none)
(layers): Sequential(
(0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280)
(2): GELU(approximate=none)
(3): Dropout(p=0.0, inplace=False)
(4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1))
(5): Dropout(p=0.0, inplace=False)
)
(dropout_layer): DropPath()
)
)
(12): TransformerEncoderLayer(
(norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(attn): EfficientMultiheadAttention(
(attn): MultiheadAttention(
(out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True)
)
(proj_drop): Dropout(p=0.0, inplace=False)
(dropout_layer): DropPath()
(sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2))
(norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
)
(norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(ffn): MixFFN(
(activate): GELU(approximate=none)
(layers): Sequential(
(0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280)
(2): GELU(approximate=none)
(3): Dropout(p=0.0, inplace=False)
(4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1))
(5): Dropout(p=0.0, inplace=False)
)
(dropout_layer): DropPath()
)
)
(13): TransformerEncoderLayer(
(norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(attn): EfficientMultiheadAttention(
(attn): MultiheadAttention(
(out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True)
)
(proj_drop): Dropout(p=0.0, inplace=False)
(dropout_layer): DropPath()
(sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2))
(norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
)
(norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(ffn): MixFFN(
(activate): GELU(approximate=none)
(layers): Sequential(
(0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280)
(2): GELU(approximate=none)
(3): Dropout(p=0.0, inplace=False)
(4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1))
(5): Dropout(p=0.0, inplace=False)
)
(dropout_layer): DropPath()
)
)
(14): TransformerEncoderLayer(
(norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(attn): EfficientMultiheadAttention(
(attn): MultiheadAttention(
(out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True)
)
(proj_drop): Dropout(p=0.0, inplace=False)
(dropout_layer): DropPath()
(sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2))
(norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
)
(norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(ffn): MixFFN(
(activate): GELU(approximate=none)
(layers): Sequential(
(0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280)
(2): GELU(approximate=none)
(3): Dropout(p=0.0, inplace=False)
(4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1))
(5): Dropout(p=0.0, inplace=False)
)
(dropout_layer): DropPath()
)
)
(15): TransformerEncoderLayer(
(norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(attn): EfficientMultiheadAttention(
(attn): MultiheadAttention(
(out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True)
)
(proj_drop): Dropout(p=0.0, inplace=False)
(dropout_layer): DropPath()
(sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2))
(norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
)
(norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(ffn): MixFFN(
(activate): GELU(approximate=none)
(layers): Sequential(
(0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280)
(2): GELU(approximate=none)
(3): Dropout(p=0.0, inplace=False)
(4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1))
(5): Dropout(p=0.0, inplace=False)
)
(dropout_layer): DropPath()
)
)
(16): TransformerEncoderLayer(
(norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(attn): EfficientMultiheadAttention(
(attn): MultiheadAttention(
(out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True)
)
(proj_drop): Dropout(p=0.0, inplace=False)
(dropout_layer): DropPath()
(sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2))
(norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
)
(norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(ffn): MixFFN(
(activate): GELU(approximate=none)
(layers): Sequential(
(0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280)
(2): GELU(approximate=none)
(3): Dropout(p=0.0, inplace=False)
(4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1))
(5): Dropout(p=0.0, inplace=False)
)
(dropout_layer): DropPath()
)
)
(17): TransformerEncoderLayer(
(norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(attn): EfficientMultiheadAttention(
(attn): MultiheadAttention(
(out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True)
)
(proj_drop): Dropout(p=0.0, inplace=False)
(dropout_layer): DropPath()
(sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2))
(norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
)
(norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
(ffn): MixFFN(
(activate): GELU(approximate=none)
(layers): Sequential(
(0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280)
(2): GELU(approximate=none)
(3): Dropout(p=0.0, inplace=False)
(4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1))
(5): Dropout(p=0.0, inplace=False)
)
(dropout_layer): DropPath()
)
)
)
(2): LayerNorm((320,), eps=1e-06, elementwise_affine=True)
)
(3): ModuleList(
(0): PatchEmbed(
(projection): Conv2d(320, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1))
(norm): LayerNorm((512,), eps=1e-06, elementwise_affine=True)
)
(1): ModuleList(
(0): TransformerEncoderLayer(
(norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True)
(attn): EfficientMultiheadAttention(
(attn): MultiheadAttention(
(out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True)
)
(proj_drop): Dropout(p=0.0, inplace=False)
(dropout_layer): DropPath()
)
(norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True)
(ffn): MixFFN(
(activate): GELU(approximate=none)
(layers): Sequential(
(0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048)
(2): GELU(approximate=none)
(3): Dropout(p=0.0, inplace=False)
(4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1))
(5): Dropout(p=0.0, inplace=False)
)
(dropout_layer): DropPath()
)
)
(1): TransformerEncoderLayer(
(norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True)
(attn): EfficientMultiheadAttention(
(attn): MultiheadAttention(
(out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True)
)
(proj_drop): Dropout(p=0.0, inplace=False)
(dropout_layer): DropPath()
)
(norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True)
(ffn): MixFFN(
(activate): GELU(approximate=none)
(layers): Sequential(
(0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048)
(2): GELU(approximate=none)
(3): Dropout(p=0.0, inplace=False)
(4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1))
(5): Dropout(p=0.0, inplace=False)
)
(dropout_layer): DropPath()
)
)
(2): TransformerEncoderLayer(
(norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True)
(attn): EfficientMultiheadAttention(
(attn): MultiheadAttention(
(out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True)
)
(proj_drop): Dropout(p=0.0, inplace=False)
(dropout_layer): DropPath()
)
(norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True)
(ffn): MixFFN(
(activate): GELU(approximate=none)
(layers): Sequential(
(0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048)
(2): GELU(approximate=none)
(3): Dropout(p=0.0, inplace=False)
(4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1))
(5): Dropout(p=0.0, inplace=False)
)
(dropout_layer): DropPath()
)
)
)
(2): LayerNorm((512,), eps=1e-06, elementwise_affine=True)
)
)
)
(teacher_head): SegformerHead(
input_transform=multiple_select, ignore_index=255, align_corners=False
(loss_decode): CrossEntropyLoss(avg_non_ignore=False)
(conv_seg): Conv2d(256, 2, kernel_size=(1, 1), stride=(1, 1))
(dropout): Dropout2d(p=0.1, inplace=False)
(convs): ModuleList(
(0): ConvModule(
(conv): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn): _BatchNormXd(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(activate): ReLU(inplace=True)
)
(1): ConvModule(
(conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn): _BatchNormXd(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(activate): ReLU(inplace=True)
)
(2): ConvModule(
(conv): Conv2d(320, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn): _BatchNormXd(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(activate): ReLU(inplace=True)
)
(3): ConvModule(
(conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn): _BatchNormXd(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(activate): ReLU(inplace=True)
)
)
(fusion_conv): ConvModule(
(conv): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn): _BatchNormXd(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(activate): ReLU(inplace=True)
)
)
init_cfg={'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}}
)
init_cfg={'type': 'Pretrained', 'checkpoint': 'pretrain/Teacher_SegFormer_B3_ADE.pth'}
)
)
2024-03-13 09:07:49,531 - mmseg - INFO - Loaded 1039 images
fatal: not a git repository (or any of the parent directories): .git
2024-03-13 09:07:51,854 - mmseg - INFO - Loaded 256 images
2024-03-13 09:07:51,855 - mmseg - INFO - Start running, host: xiaoyi@xiaoyi-S2600WT2R, work_dir: /home/xiaoyi/SCTNet-master/work_dir
2024-03-13 09:07:51,855 - mmseg - INFO - Hooks will be executed in the following order:
before_run:
(VERY_HIGH ) PolyLrUpdaterHook
(NORMAL ) CheckpointHook
(LOW ) EvalHook
(VERY_LOW ) TextLoggerHook
before_train_epoch:
(VERY_HIGH ) PolyLrUpdaterHook
(LOW ) IterTimerHook
(LOW ) EvalHook
(VERY_LOW ) TextLoggerHook
before_train_iter:
(VERY_HIGH ) PolyLrUpdaterHook
(LOW ) IterTimerHook
(LOW ) EvalHook
after_train_iter:
(ABOVE_NORMAL) OptimizerHook
(NORMAL ) CheckpointHook
(LOW ) IterTimerHook
(LOW ) EvalHook
(VERY_LOW ) TextLoggerHook
after_train_epoch:
(NORMAL ) CheckpointHook
(LOW ) EvalHook
(VERY_LOW ) TextLoggerHook
before_val_epoch:
(LOW ) IterTimerHook
(VERY_LOW ) TextLoggerHook
before_val_iter: (LOW ) IterTimerHook
after_val_iter: (LOW ) IterTimerHook
after_val_epoch: (VERY_LOW ) TextLoggerHook
after_run: (VERY_LOW ) TextLoggerHook
2024-03-13 09:07:51,855 - mmseg - INFO - workflow: [('train', 1)], max: 160000 iters 2024-03-13 09:07:51,855 - mmseg - INFO - Checkpoints will be saved to /home/xiaoyi/SCTNet-master/work_dir by HardDiskBackend. 2024-03-13 09:08:26,447 - mmseg - INFO - Iter [50/160000] lr: 1.633e-05, eta: 1 day, 6:34:21, time: 0.688, data_time: 0.029, memory: 5571, decode.loss_ce: 0.0024, decode.acc_seg: 95.7206, aux_0.loss_ce: 0.0022, aux_0.acc_seg: 57.4874, aux_1.loss_guidance: 21.7919, loss: 21.7966 2024-03-13 09:08:56,498 - mmseg - INFO - Iter [100/160000] lr: 3.298e-05, eta: 1 day, 4:37:47, time: 0.601, data_time: 0.010, memory: 5571, decode.loss_ce: 0.0006, decode.acc_seg: 99.2589, aux_0.loss_ce: 0.0007, aux_0.acc_seg: 93.8635, aux_1.loss_guidance: 14.2082, loss: 14.2095 2024-03-13 09:09:29,449 - mmseg - INFO - Iter [150/160000] lr: 4.962e-05, eta: 1 day, 4:50:04, time: 0.659, data_time: 0.066, memory: 5571, decode.loss_ce: 0.0004, decode.acc_seg: 98.8302, aux_0.loss_ce: 0.0003, aux_0.acc_seg: 97.9057, aux_1.loss_guidance: 9.2912, loss: 9.2919 2024-03-13 09:09:59,664 - mmseg - INFO - Iter [200/160000] lr: 6.625e-05, eta: 1 day, 4:19:30, time: 0.604, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0002, decode.acc_seg: 99.9760, aux_0.loss_ce: 0.0002, aux_0.acc_seg: 99.6951, aux_1.loss_guidance: 6.9517, loss: 6.9521 2024-03-13 09:10:29,873 - mmseg - INFO - Iter [250/160000] lr: 8.287e-05, eta: 1 day, 4:00:53, time: 0.604, data_time: 0.010, memory: 5571, decode.loss_ce: 0.0001, decode.acc_seg: 99.9689, aux_0.loss_ce: 0.0001, aux_0.acc_seg: 99.9094, aux_1.loss_guidance: 6.0995, loss: 6.0997 2024-03-13 09:11:03,090 - mmseg - INFO - Iter [300/160000] lr: 9.948e-05, eta: 1 day, 4:15:00, time: 0.664, data_time: 0.069, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 99.9906, aux_0.loss_ce: 0.0001, aux_0.acc_seg: 99.9678, aux_1.loss_guidance: 5.5249, loss: 5.5250 2024-03-13 09:11:33,354 - mmseg - INFO - Iter [350/160000] lr: 1.161e-04, eta: 1 day, 4:02:29, time: 0.605, data_time: 0.010, memory: 5571, decode.loss_ce: 0.0001, decode.acc_seg: 99.9594, aux_0.loss_ce: 0.0001, aux_0.acc_seg: 99.8795, aux_1.loss_guidance: 5.1922, loss: 5.1923 2024-03-13 09:12:06,688 - mmseg - INFO - Iter [400/160000] lr: 1.327e-04, eta: 1 day, 4:13:23, time: 0.667, data_time: 0.067, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 99.9721, aux_0.loss_ce: 0.0001, aux_0.acc_seg: 99.7865, aux_1.loss_guidance: 5.1512, loss: 5.1513 2024-03-13 09:12:37,102 - mmseg - INFO - Iter [450/160000] lr: 1.492e-04, eta: 1 day, 4:04:28, time: 0.608, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0001, aux_0.acc_seg: 99.9880, aux_1.loss_guidance: 4.8088, loss: 4.8088 2024-03-13 09:13:07,896 - mmseg - INFO - Iter [500/160000] lr: 1.658e-04, eta: 1 day, 3:59:16, time: 0.616, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 99.9993, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 99.9572, aux_1.loss_guidance: 4.9433, loss: 4.9433 2024-03-13 09:13:41,132 - mmseg - INFO - Iter [550/160000] lr: 1.824e-04, eta: 1 day, 4:06:43, time: 0.665, data_time: 0.068, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 99.9926, aux_1.loss_guidance: 4.8784, loss: 4.8784 2024-03-13 09:14:11,969 - mmseg - INFO - Iter [600/160000] lr: 1.989e-04, eta: 1 day, 4:02:12, time: 0.617, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.5611, loss: 4.5612 2024-03-13 09:14:45,462 - mmseg - INFO - Iter [650/160000] lr: 2.155e-04, eta: 1 day, 4:09:10, time: 0.670, data_time: 0.068, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.5289, loss: 4.5289 2024-03-13 09:15:15,924 - mmseg - INFO - Iter [700/160000] lr: 2.320e-04, eta: 1 day, 4:03:33, time: 0.609, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.6309, loss: 4.6309 2024-03-13 09:15:46,670 - mmseg - INFO - Iter [750/160000] lr: 2.485e-04, eta: 1 day, 3:59:38, time: 0.615, data_time: 0.010, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.5028, loss: 4.5028 2024-03-13 09:16:20,015 - mmseg - INFO - Iter [800/160000] lr: 2.650e-04, eta: 1 day, 4:04:45, time: 0.667, data_time: 0.066, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 99.9842, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 99.9552, aux_1.loss_guidance: 4.3782, loss: 4.3782 2024-03-13 09:16:50,729 - mmseg - INFO - Iter [850/160000] lr: 2.815e-04, eta: 1 day, 4:01:00, time: 0.614, data_time: 0.010, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.4026, loss: 4.4026 2024-03-13 09:17:21,499 - mmseg - INFO - Iter [900/160000] lr: 2.980e-04, eta: 1 day, 3:57:46, time: 0.615, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.4660, loss: 4.4660 2024-03-13 09:17:54,890 - mmseg - INFO - Iter [950/160000] lr: 3.145e-04, eta: 1 day, 4:02:08, time: 0.668, data_time: 0.069, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.3863, loss: 4.3863 2024-03-13 09:18:25,606 - mmseg - INFO - Exp name: sctnet-b_8x4_160k_ade.py 2024-03-13 09:18:25,606 - mmseg - INFO - Iter [1000/160000] lr: 3.309e-04, eta: 1 day, 3:58:55, time: 0.614, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.3617, loss: 4.3617 2024-03-13 09:18:59,098 - mmseg - INFO - Iter [1050/160000] lr: 3.474e-04, eta: 1 day, 4:02:58, time: 0.670, data_time: 0.067, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.2500, loss: 4.2500 2024-03-13 09:19:29,680 - mmseg - INFO - Iter [1100/160000] lr: 3.638e-04, eta: 1 day, 3:59:36, time: 0.612, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.3195, loss: 4.3195 2024-03-13 09:20:00,625 - mmseg - INFO - Iter [1150/160000] lr: 3.802e-04, eta: 1 day, 3:57:18, time: 0.619, data_time: 0.012, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.2081, loss: 4.2081 2024-03-13 09:20:34,062 - mmseg - INFO - Iter [1200/160000] lr: 3.967e-04, eta: 1 day, 4:00:39, time: 0.669, data_time: 0.066, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 99.9214, aux_1.loss_guidance: 113.0796, loss: 113.0797 2024-03-13 09:21:04,823 - mmseg - INFO - Iter [1250/160000] lr: 4.131e-04, eta: 1 day, 3:58:02, time: 0.615, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 60.6659, loss: 60.6659 2024-03-13 09:21:38,191 - mmseg - INFO - Iter [1300/160000] lr: 4.295e-04, eta: 1 day, 4:00:52, time: 0.667, data_time: 0.064, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 8.4587, loss: 8.4587 2024-03-13 09:22:08,781 - mmseg - INFO - Iter [1350/160000] lr: 4.459e-04, eta: 1 day, 3:58:01, time: 0.612, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 7.1807, loss: 7.1808 2024-03-13 09:22:39,628 - mmseg - INFO - Iter [1400/160000] lr: 4.623e-04, eta: 1 day, 3:55:49, time: 0.617, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 6.4773, loss: 6.4773 2024-03-13 09:23:13,053 - mmseg - INFO - Iter [1450/160000] lr: 4.786e-04, eta: 1 day, 3:58:26, time: 0.669, data_time: 0.069, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 6.4595, loss: 6.4595 2024-03-13 09:23:43,592 - mmseg - INFO - Iter [1500/160000] lr: 4.950e-04, eta: 1 day, 3:55:46, time: 0.611, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 6.1232, loss: 6.1232 2024-03-13 09:24:17,171 - mmseg - INFO - Iter [1550/160000] lr: 4.952e-04, eta: 1 day, 3:58:24, time: 0.672, data_time: 0.067, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.9324, loss: 5.9324 2024-03-13 09:24:47,714 - mmseg - INFO - Iter [1600/160000] lr: 4.950e-04, eta: 1 day, 3:55:50, time: 0.611, data_time: 0.012, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.7644, loss: 5.7644 2024-03-13 09:25:18,302 - mmseg - INFO - Iter [1650/160000] lr: 4.948e-04, eta: 1 day, 3:53:28, time: 0.612, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.8451, loss: 5.8451 2024-03-13 09:25:51,686 - mmseg - INFO - Iter [1700/160000] lr: 4.947e-04, eta: 1 day, 3:55:32, time: 0.668, data_time: 0.068, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.6654, loss: 5.6654 2024-03-13 09:26:22,353 - mmseg - INFO - Iter [1750/160000] lr: 4.945e-04, eta: 1 day, 3:53:22, time: 0.613, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.6797, loss: 5.6797 2024-03-13 09:26:53,047 - mmseg - INFO - Iter [1800/160000] lr: 4.944e-04, eta: 1 day, 3:51:20, time: 0.614, data_time: 0.012, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.6605, loss: 5.6605 2024-03-13 09:27:26,294 - mmseg - INFO - Iter [1850/160000] lr: 4.942e-04, eta: 1 day, 3:53:01, time: 0.665, data_time: 0.066, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.5366, loss: 5.5366 2024-03-13 09:27:56,993 - mmseg - INFO - Iter [1900/160000] lr: 4.941e-04, eta: 1 day, 3:51:03, time: 0.614, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.6193, loss: 5.6193 2024-03-13 09:28:30,239 - mmseg - INFO - Iter [1950/160000] lr: 4.939e-04, eta: 1 day, 3:52:36, time: 0.665, data_time: 0.065, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.6381, loss: 5.6381 2024-03-13 09:29:00,942 - mmseg - INFO - Exp name: sctnet-b_8x4_160k_ade.py 2024-03-13 09:29:00,943 - mmseg - INFO - Iter [2000/160000] lr: 4.938e-04, eta: 1 day, 3:50:42, time: 0.614, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.4743, loss: 5.4743 2024-03-13 09:29:31,668 - mmseg - INFO - Iter [2050/160000] lr: 4.936e-04, eta: 1 day, 3:48:53, time: 0.615, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.6898, loss: 5.6898 2024-03-13 09:30:04,906 - mmseg - INFO - Iter [2100/160000] lr: 4.934e-04, eta: 1 day, 3:50:17, time: 0.665, data_time: 0.067, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.5129, loss: 5.5129 2024-03-13 09:30:35,764 - mmseg - INFO - Iter [2150/160000] lr: 4.933e-04, eta: 1 day, 3:48:41, time: 0.617, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.3862, loss: 5.3862 2024-03-13 09:31:09,242 - mmseg - INFO - Iter [2200/160000] lr: 4.931e-04, eta: 1 day, 3:50:16, time: 0.670, data_time: 0.068, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.6887, loss: 5.6887 2024-03-13 09:31:39,798 - mmseg - INFO - Iter [2250/160000] lr: 4.930e-04, eta: 1 day, 3:48:20, time: 0.611, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.5289, loss: 5.5289 2024-03-13 09:32:10,597 - mmseg - INFO - Iter [2300/160000] lr: 4.928e-04, eta: 1 day, 3:46:45, time: 0.616, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.6210, loss: 5.6210 2024-03-13 09:32:44,044 - mmseg - INFO - Iter [2350/160000] lr: 4.927e-04, eta: 1 day, 3:48:10, time: 0.669, data_time: 0.070, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.3468, loss: 5.3468 2024-03-13 09:33:14,770 - mmseg - INFO - Iter [2400/160000] lr: 4.925e-04, eta: 1 day, 3:46:31, time: 0.615, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.5022, loss: 5.5022 2024-03-13 09:33:45,407 - mmseg - INFO - Iter [2450/160000] lr: 4.923e-04, eta: 1 day, 3:44:49, time: 0.613, data_time: 0.010, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.4474, loss: 5.4474 2024-03-13 09:34:18,705 - mmseg - INFO - Iter [2500/160000] lr: 4.922e-04, eta: 1 day, 3:45:58, time: 0.666, data_time: 0.066, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.3245, loss: 5.3245 2024-03-13 09:34:49,523 - mmseg - INFO - Iter [2550/160000] lr: 4.920e-04, eta: 1 day, 3:44:30, time: 0.616, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.5842, loss: 5.5842 2024-03-13 09:35:23,038 - mmseg - INFO - Iter [2600/160000] lr: 4.919e-04, eta: 1 day, 3:45:47, time: 0.670, data_time: 0.068, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.2731, loss: 5.2731 2024-03-13 09:35:53,804 - mmseg - INFO - Iter [2650/160000] lr: 4.917e-04, eta: 1 day, 3:44:17, time: 0.615, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.4877, loss: 5.4877 2024-03-13 09:36:24,560 - mmseg - INFO - Iter [2700/160000] lr: 4.916e-04, eta: 1 day, 3:42:48, time: 0.615, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.4386, loss: 5.4386 2024-03-13 09:36:57,989 - mmseg - INFO - Iter [2750/160000] lr: 4.914e-04, eta: 1 day, 3:43:55, time: 0.669, data_time: 0.068, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.4838, loss: 5.4838 2024-03-13 09:37:28,732 - mmseg - INFO - Iter [2800/160000] lr: 4.913e-04, eta: 1 day, 3:42:27, time: 0.615, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.2999, loss: 5.2999 2024-03-13 09:38:02,214 - mmseg - INFO - Iter [2850/160000] lr: 4.911e-04, eta: 1 day, 3:43:32, time: 0.670, data_time: 0.067, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.4708, loss: 5.4708 2024-03-13 09:38:32,833 - mmseg - INFO - Iter [2900/160000] lr: 4.909e-04, eta: 1 day, 3:41:59, time: 0.612, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.4643, loss: 5.4643 2024-03-13 09:39:03,547 - mmseg - INFO - Iter [2950/160000] lr: 4.908e-04, eta: 1 day, 3:40:32, time: 0.614, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.3580, loss: 5.3580 2024-03-13 09:39:36,962 - mmseg - INFO - Exp name: sctnet-b_8x4_160k_ade.py 2024-03-13 09:39:36,963 - mmseg - INFO - Iter [3000/160000] lr: 4.906e-04, eta: 1 day, 3:41:29, time: 0.668, data_time: 0.066, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.4346, loss: 5.4346 2024-03-13 09:40:07,841 - mmseg - INFO - Iter [3050/160000] lr: 4.905e-04, eta: 1 day, 3:40:13, time: 0.618, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.1756, loss: 5.1756 2024-03-13 09:40:41,621 - mmseg - INFO - Iter [3100/160000] lr: 4.903e-04, eta: 1 day, 3:41:25, time: 0.676, data_time: 0.068, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.3941, loss: 5.3941 2024-03-13 09:41:12,282 - mmseg - INFO - Iter [3150/160000] lr: 4.902e-04, eta: 1 day, 3:39:58, time: 0.613, data_time: 0.012, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.3606, loss: 5.3606 2024-03-13 09:41:42,994 - mmseg - INFO - Iter [3200/160000] lr: 4.900e-04, eta: 1 day, 3:38:35, time: 0.614, data_time: 0.012, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.2744, loss: 5.2744 2024-03-13 09:42:16,298 - mmseg - INFO - Iter [3250/160000] lr: 4.898e-04, eta: 1 day, 3:39:19, time: 0.666, data_time: 0.066, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.3837, loss: 5.3837 2024-03-13 09:42:47,083 - mmseg - INFO - Iter [3300/160000] lr: 4.897e-04, eta: 1 day, 3:38:01, time: 0.616, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.3235, loss: 5.3235 2024-03-13 09:43:17,836 - mmseg - INFO - Iter [3350/160000] lr: 4.895e-04, eta: 1 day, 3:36:43, time: 0.615, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.4553, loss: 5.4553 2024-03-13 09:43:51,303 - mmseg - INFO - Iter [3400/160000] lr: 4.894e-04, eta: 1 day, 3:37:31, time: 0.669, data_time: 0.069, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.3169, loss: 5.3169 2024-03-13 09:44:22,051 - mmseg - INFO - Iter [3450/160000] lr: 4.892e-04, eta: 1 day, 3:36:14, time: 0.615, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.4794, loss: 5.4794 2024-03-13 09:44:55,577 - mmseg - INFO - Iter [3500/160000] lr: 4.891e-04, eta: 1 day, 3:37:02, time: 0.670, data_time: 0.068, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.3898, loss: 5.3898 2024-03-13 09:45:26,213 - mmseg - INFO - Iter [3550/160000] lr: 4.889e-04, eta: 1 day, 3:35:41, time: 0.613, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.5089, loss: 5.5089 2024-03-13 09:45:56,928 - mmseg - INFO - Iter [3600/160000] lr: 4.888e-04, eta: 1 day, 3:34:24, time: 0.614, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.1703, loss: 5.1703 2024-03-13 09:46:30,534 - mmseg - INFO - Iter [3650/160000] lr: 4.886e-04, eta: 1 day, 3:35:12, time: 0.672, data_time: 0.069, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.2200, loss: 5.2200 2024-03-13 09:47:01,155 - mmseg - INFO - Iter [3700/160000] lr: 4.884e-04, eta: 1 day, 3:33:53, time: 0.612, data_time: 0.012, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.3517, loss: 5.3517 2024-03-13 09:47:34,936 - mmseg - INFO - Iter [3750/160000] lr: 4.883e-04, eta: 1 day, 3:34:46, time: 0.676, data_time: 0.069, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.2588, loss: 5.2588 2024-03-13 09:48:05,470 - mmseg - INFO - Iter [3800/160000] lr: 4.881e-04, eta: 1 day, 3:33:23, time: 0.611, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.3792, loss: 5.3792 2024-03-13 09:48:36,348 - mmseg - INFO - Iter [3850/160000] lr: 4.880e-04, eta: 1 day, 3:32:16, time: 0.618, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.2922, loss: 5.2922 2024-03-13 09:49:09,558 - mmseg - INFO - Iter [3900/160000] lr: 4.878e-04, eta: 1 day, 3:32:43, time: 0.664, data_time: 0.067, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.1837, loss: 5.1837 2024-03-13 09:49:40,348 - mmseg - INFO - Iter [3950/160000] lr: 4.877e-04, eta: 1 day, 3:31:32, time: 0.616, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.4070, loss: 5.4070 2024-03-13 09:50:13,889 - mmseg - INFO - Saving checkpoint at 4000 iterations 2024-03-13 09:50:15,082 - mmseg - INFO - Exp name: sctnet-b_8x4_160k_ade.py 2024-03-13 09:50:15,082 - mmseg - INFO - Iter [4000/160000] lr: 4.875e-04, eta: 1 day, 3:32:57, time: 0.695, data_time: 0.066, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.3209, loss: 5.3209 2024-03-13 09:50:45,497 - mmseg - INFO - Iter [4050/160000] lr: 4.873e-04, eta: 1 day, 3:31:32, time: 0.608, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.2152, loss: 5.2152 2024-03-13 09:51:16,546 - mmseg - INFO - Iter [4100/160000] lr: 4.872e-04, eta: 1 day, 3:30:33, time: 0.621, data_time: 0.012, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.2203, loss: 5.2203 2024-03-13 09:51:50,057 - mmseg - INFO - Iter [4150/160000] lr: 4.870e-04, eta: 1 day, 3:31:07, time: 0.670, data_time: 0.069, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.1379, loss: 5.1379 2024-03-13 09:52:20,842 - mmseg - INFO - Iter [4200/160000] lr: 4.869e-04, eta: 1 day, 3:29:58, time: 0.616, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.2158, loss: 5.2158 2024-03-13 09:52:51,608 - mmseg - INFO - Iter [4250/160000] lr: 4.867e-04, eta: 1 day, 3:28:50, time: 0.615, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.1999, loss: 5.1999 2024-03-13 09:53:25,062 - mmseg - INFO - Iter [4300/160000] lr: 4.866e-04, eta: 1 day, 3:29:19, time: 0.669, data_time: 0.068, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.5042, loss: 5.5042 2024-03-13 09:53:55,698 - mmseg - INFO - Iter [4350/160000] lr: 4.864e-04, eta: 1 day, 3:28:06, time: 0.613, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.2498, loss: 5.2498 2024-03-13 09:54:29,145 - mmseg - INFO - Iter [4400/160000] lr: 4.863e-04, eta: 1 day, 3:28:34, time: 0.669, data_time: 0.065, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.3009, loss: 5.3009 2024-03-13 09:54:59,886 - mmseg - INFO - Iter [4450/160000] lr: 4.861e-04, eta: 1 day, 3:27:26, time: 0.615, data_time: 0.012, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.2422, loss: 5.2422 2024-03-13 09:55:30,745 - mmseg - INFO - Iter [4500/160000] lr: 4.859e-04, eta: 1 day, 3:26:23, time: 0.617, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.0247, loss: 5.0247 2024-03-13 09:56:04,114 - mmseg - INFO - Iter [4550/160000] lr: 4.858e-04, eta: 1 day, 3:26:46, time: 0.667, data_time: 0.069, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.1452, loss: 5.1452 2024-03-13 09:56:34,941 - mmseg - INFO - Iter [4600/160000] lr: 4.856e-04, eta: 1 day, 3:25:42, time: 0.617, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.1832, loss: 5.1832 2024-03-13 09:57:08,444 - mmseg - INFO - Iter [4650/160000] lr: 4.855e-04, eta: 1 day, 3:26:08, time: 0.670, data_time: 0.068, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.1817, loss: 5.1817 2024-03-13 09:57:39,040 - mmseg - INFO - Iter [4700/160000] lr: 4.853e-04, eta: 1 day, 3:24:56, time: 0.612, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.1163, loss: 5.1163 2024-03-13 09:58:09,780 - mmseg - INFO - Iter [4750/160000] lr: 4.852e-04, eta: 1 day, 3:23:51, time: 0.615, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.1133, loss: 5.1133 2024-03-13 09:58:43,147 - mmseg - INFO - Iter [4800/160000] lr: 4.850e-04, eta: 1 day, 3:24:11, time: 0.667, data_time: 0.068, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.2633, loss: 5.2633 2024-03-13 09:59:13,895 - mmseg - INFO - Iter [4850/160000] lr: 4.848e-04, eta: 1 day, 3:23:06, time: 0.615, data_time: 0.012, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.0587, loss: 5.0587 2024-03-13 09:59:44,585 - mmseg - INFO - Iter [4900/160000] lr: 4.847e-04, eta: 1 day, 3:22:00, time: 0.614, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.2018, loss: 5.2018 2024-03-13 10:00:18,147 - mmseg - INFO - Iter [4950/160000] lr: 4.845e-04, eta: 1 day, 3:22:25, time: 0.671, data_time: 0.068, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.0139, loss: 5.0139 2024-03-13 10:00:48,958 - mmseg - INFO - Exp name: sctnet-b_8x4_160k_ade.py 2024-03-13 10:00:48,959 - mmseg - INFO - Iter [5000/160000] lr: 4.844e-04, eta: 1 day, 3:21:23, time: 0.616, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.3454, loss: 5.3454 2024-03-13 10:01:22,270 - mmseg - INFO - Iter [5050/160000] lr: 4.842e-04, eta: 1 day, 3:21:38, time: 0.666, data_time: 0.065, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.1798, loss: 5.1798 2024-03-13 10:01:53,180 - mmseg - INFO - Iter [5100/160000] lr: 4.841e-04, eta: 1 day, 3:20:40, time: 0.618, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.1908, loss: 5.1908 2024-03-13 10:02:23,974 - mmseg - INFO - Iter [5150/160000] lr: 4.839e-04, eta: 1 day, 3:19:39, time: 0.616, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.1998, loss: 5.1998 2024-03-13 10:02:57,441 - mmseg - INFO - Iter [5200/160000] lr: 4.838e-04, eta: 1 day, 3:19:58, time: 0.669, data_time: 0.067, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.0207, loss: 5.0207 2024-03-13 10:03:28,257 - mmseg - INFO - Iter [5250/160000] lr: 4.836e-04, eta: 1 day, 3:18:57, time: 0.616, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.0716, loss: 5.0716 2024-03-13 10:04:02,057 - mmseg - INFO - Iter [5300/160000] lr: 4.834e-04, eta: 1 day, 3:19:25, time: 0.676, data_time: 0.068, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.1856, loss: 5.1856 2024-03-13 10:04:32,655 - mmseg - INFO - Iter [5350/160000] lr: 4.833e-04, eta: 1 day, 3:18:18, time: 0.612, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.0965, loss: 5.0965 2024-03-13 10:05:03,587 - mmseg - INFO - Iter [5400/160000] lr: 4.831e-04, eta: 1 day, 3:17:22, time: 0.619, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.1253, loss: 5.1253 2024-03-13 10:05:37,002 - mmseg - INFO - Iter [5450/160000] lr: 4.830e-04, eta: 1 day, 3:17:37, time: 0.668, data_time: 0.067, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.2704, loss: 5.2704 2024-03-13 10:06:07,871 - mmseg - INFO - Iter [5500/160000] lr: 4.828e-04, eta: 1 day, 3:16:39, time: 0.617, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.2425, loss: 5.2425 2024-03-13 10:06:41,341 - mmseg - INFO - Iter [5550/160000] lr: 4.827e-04, eta: 1 day, 3:16:55, time: 0.669, data_time: 0.067, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.9984, loss: 4.9984 2024-03-13 10:07:11,939 - mmseg - INFO - Iter [5600/160000] lr: 4.825e-04, eta: 1 day, 3:15:50, time: 0.612, data_time: 0.012, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.1117, loss: 5.1117 2024-03-13 10:07:42,776 - mmseg - INFO - Iter [5650/160000] lr: 4.823e-04, eta: 1 day, 3:14:52, time: 0.617, data_time: 0.012, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.1339, loss: 5.1339 2024-03-13 10:08:16,314 - mmseg - INFO - Iter [5700/160000] lr: 4.822e-04, eta: 1 day, 3:15:08, time: 0.671, data_time: 0.070, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.9168, loss: 4.9168 2024-03-13 10:08:47,041 - mmseg - INFO - Iter [5750/160000] lr: 4.820e-04, eta: 1 day, 3:14:08, time: 0.615, data_time: 0.012, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.2661, loss: 5.2661 2024-03-13 10:09:17,845 - mmseg - INFO - Iter [5800/160000] lr: 4.819e-04, eta: 1 day, 3:13:10, time: 0.616, data_time: 0.012, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.0877, loss: 5.0877 2024-03-13 10:09:51,354 - mmseg - INFO - Iter [5850/160000] lr: 4.817e-04, eta: 1 day, 3:13:24, time: 0.670, data_time: 0.069, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.1003, loss: 5.1003 2024-03-13 10:10:22,223 - mmseg - INFO - Iter [5900/160000] lr: 4.816e-04, eta: 1 day, 3:12:28, time: 0.617, data_time: 0.012, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.0663, loss: 5.0663 2024-03-13 10:10:55,764 - mmseg - INFO - Iter [5950/160000] lr: 4.814e-04, eta: 1 day, 3:12:42, time: 0.671, data_time: 0.067, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.0835, loss: 5.0835 2024-03-13 10:11:26,470 - mmseg - INFO - Exp name: sctnet-b_8x4_160k_ade.py 2024-03-13 10:11:26,470 - mmseg - INFO - Iter [6000/160000] lr: 4.813e-04, eta: 1 day, 3:11:42, time: 0.614, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.0400, loss: 5.0400 2024-03-13 10:11:57,233 - mmseg - INFO - Iter [6050/160000] lr: 4.811e-04, eta: 1 day, 3:10:44, time: 0.615, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.1622, loss: 5.1622 2024-03-13 10:12:30,666 - mmseg - INFO - Iter [6100/160000] lr: 4.809e-04, eta: 1 day, 3:10:54, time: 0.669, data_time: 0.067, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.1437, loss: 5.1437 2024-03-13 10:13:01,480 - mmseg - INFO - Iter [6150/160000] lr: 4.808e-04, eta: 1 day, 3:09:58, time: 0.616, data_time: 0.010, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.0678, loss: 5.0678 2024-03-13 10:13:34,974 - mmseg - INFO - Iter [6200/160000] lr: 4.806e-04, eta: 1 day, 3:10:09, time: 0.670, data_time: 0.067, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.0525, loss: 5.0525 2024-03-13 10:14:05,615 - mmseg - INFO - Iter [6250/160000] lr: 4.805e-04, eta: 1 day, 3:09:08, time: 0.613, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.9887, loss: 4.9887 2024-03-13 10:14:36,354 - mmseg - INFO - Iter [6300/160000] lr: 4.803e-04, eta: 1 day, 3:08:11, time: 0.615, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.1819, loss: 5.1819 2024-03-13 10:15:09,592 - mmseg - INFO - Iter [6350/160000] lr: 4.802e-04, eta: 1 day, 3:08:14, time: 0.665, data_time: 0.066, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.1151, loss: 5.1151 2024-03-13 10:15:40,386 - mmseg - INFO - Iter [6400/160000] lr: 4.800e-04, eta: 1 day, 3:07:19, time: 0.616, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.9751, loss: 4.9751 2024-03-13 10:16:11,155 - mmseg - INFO - Iter [6450/160000] lr: 4.798e-04, eta: 1 day, 3:06:23, time: 0.615, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.9702, loss: 4.9702 2024-03-13 10:16:44,638 - mmseg - INFO - Iter [6500/160000] lr: 4.797e-04, eta: 1 day, 3:06:31, time: 0.670, data_time: 0.069, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.9522, loss: 4.9522 2024-03-13 10:17:15,484 - mmseg - INFO - Iter [6550/160000] lr: 4.795e-04, eta: 1 day, 3:05:37, time: 0.617, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.2265, loss: 5.2265 2024-03-13 10:17:49,041 - mmseg - INFO - Iter [6600/160000] lr: 4.794e-04, eta: 1 day, 3:05:47, time: 0.671, data_time: 0.068, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.1335, loss: 5.1335 2024-03-13 10:18:19,780 - mmseg - INFO - Iter [6650/160000] lr: 4.792e-04, eta: 1 day, 3:04:51, time: 0.615, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.7692, loss: 4.7692 2024-03-13 10:18:50,581 - mmseg - INFO - Iter [6700/160000] lr: 4.791e-04, eta: 1 day, 3:03:56, time: 0.616, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.1000, loss: 5.1000 2024-03-13 10:19:23,956 - mmseg - INFO - Iter [6750/160000] lr: 4.789e-04, eta: 1 day, 3:04:01, time: 0.667, data_time: 0.066, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.9862, loss: 4.9862 2024-03-13 10:19:54,903 - mmseg - INFO - Iter [6800/160000] lr: 4.788e-04, eta: 1 day, 3:03:10, time: 0.619, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.0164, loss: 5.0164 2024-03-13 10:20:28,431 - mmseg - INFO - Iter [6850/160000] lr: 4.786e-04, eta: 1 day, 3:03:17, time: 0.671, data_time: 0.067, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.9331, loss: 4.9331 2024-03-13 10:20:59,019 - mmseg - INFO - Iter [6900/160000] lr: 4.784e-04, eta: 1 day, 3:02:18, time: 0.612, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.0727, loss: 5.0727 2024-03-13 10:21:29,762 - mmseg - INFO - Iter [6950/160000] lr: 4.783e-04, eta: 1 day, 3:01:24, time: 0.615, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.9962, loss: 4.9962 2024-03-13 10:22:03,350 - mmseg - INFO - Exp name: sctnet-b_8x4_160k_ade.py 2024-03-13 10:22:03,351 - mmseg - INFO - Iter [7000/160000] lr: 4.781e-04, eta: 1 day, 3:01:31, time: 0.672, data_time: 0.069, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.9618, loss: 4.9618 2024-03-13 10:22:34,285 - mmseg - INFO - Iter [7050/160000] lr: 4.780e-04, eta: 1 day, 3:00:41, time: 0.619, data_time: 0.012, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.0131, loss: 5.0131 2024-03-13 10:23:07,939 - mmseg - INFO - Iter [7100/160000] lr: 4.778e-04, eta: 1 day, 3:00:49, time: 0.673, data_time: 0.067, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.9556, loss: 4.9556 2024-03-13 10:23:38,543 - mmseg - INFO - Iter [7150/160000] lr: 4.777e-04, eta: 1 day, 2:59:52, time: 0.612, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.8748, loss: 4.8748 2024-03-13 10:24:09,324 - mmseg - INFO - Iter [7200/160000] lr: 4.775e-04, eta: 1 day, 2:58:59, time: 0.616, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.9238, loss: 4.9238 2024-03-13 10:24:42,881 - mmseg - INFO - Iter [7250/160000] lr: 4.773e-04, eta: 1 day, 2:59:04, time: 0.671, data_time: 0.067, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.9916, loss: 4.9916 2024-03-13 10:25:13,685 - mmseg - INFO - Iter [7300/160000] lr: 4.772e-04, eta: 1 day, 2:58:11, time: 0.616, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.0390, loss: 5.0390 2024-03-13 10:25:44,405 - mmseg - INFO - Iter [7350/160000] lr: 4.770e-04, eta: 1 day, 2:57:17, time: 0.614, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.9005, loss: 4.9005 2024-03-13 10:26:17,993 - mmseg - INFO - Iter [7400/160000] lr: 4.769e-04, eta: 1 day, 2:57:23, time: 0.672, data_time: 0.067, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.9045, loss: 4.9045 2024-03-13 10:26:48,673 - mmseg - INFO - Iter [7450/160000] lr: 4.767e-04, eta: 1 day, 2:56:28, time: 0.614, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.8856, loss: 4.8856 2024-03-13 10:27:22,477 - mmseg - INFO - Iter [7500/160000] lr: 4.766e-04, eta: 1 day, 2:56:37, time: 0.676, data_time: 0.068, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.9265, loss: 4.9265 2024-03-13 10:27:53,123 - mmseg - INFO - Iter [7550/160000] lr: 4.764e-04, eta: 1 day, 2:55:42, time: 0.613, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.7818, loss: 4.7818 2024-03-13 10:28:24,074 - mmseg - INFO - Iter [7600/160000] lr: 4.763e-04, eta: 1 day, 2:54:53, time: 0.619, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.7928, loss: 4.7928 2024-03-13 10:28:57,557 - mmseg - INFO - Iter [7650/160000] lr: 4.761e-04, eta: 1 day, 2:54:55, time: 0.670, data_time: 0.067, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.8493, loss: 4.8493 2024-03-13 10:29:28,198 - mmseg - INFO - Iter [7700/160000] lr: 4.759e-04, eta: 1 day, 2:54:01, time: 0.613, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.8412, loss: 4.8412 2024-03-13 10:30:01,557 - mmseg - INFO - Iter [7750/160000] lr: 4.758e-04, eta: 1 day, 2:54:00, time: 0.667, data_time: 0.066, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.9828, loss: 4.9828 2024-03-13 10:30:32,257 - mmseg - INFO - Iter [7800/160000] lr: 4.756e-04, eta: 1 day, 2:53:06, time: 0.614, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.8420, loss: 4.8420 2024-03-13 10:31:03,095 - mmseg - INFO - Iter [7850/160000] lr: 4.755e-04, eta: 1 day, 2:52:16, time: 0.617, data_time: 0.011, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.0067, loss: 5.0067 2024-03-13 10:31:36,550 - mmseg - INFO - Iter [7900/160000] lr: 4.753e-04, eta: 1 day, 2:52:16, time: 0.669, data_time: 0.070, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.8199, loss: 4.8199 2024-03-13 10:32:07,364 - mmseg - INFO - Iter [7950/160000] lr: 4.752e-04, eta: 1 day, 2:51:26, time: 0.616, data_time: 0.012, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.8268, loss: 4.8268 2024-03-13 10:32:40,833 - mmseg - INFO - Saving checkpoint at 8000 iterations 2024-03-13 10:32:41,918 - mmseg - INFO - Exp name: sctnet-b_8x4_160k_ade.py 2024-03-13 10:32:41,918 - mmseg - INFO - Iter [8000/160000] lr: 4.750e-04, eta: 1 day, 2:51:46, time: 0.691, data_time: 0.065, memory: 5571, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.8325, loss: 4.8325 [ ] 0/256, elapsed: 0s, ETA: [ ] 1/256, 1.0 task/s, elapsed: 1s, ETA: 267s [ ] 2/256, 1.8 task/s, elapsed: 1s, ETA: 139s [ ] 3/256, 2.6 task/s, elapsed: 1s, ETA: 96s [ ] 4/256, 3.4 task/s, elapsed: 1s, ETA: 75s [ ] 5/256, 4.1 task/s, elapsed: 1s, ETA: 61s [ ] 6/256, 4.8 task/s, elapsed: 1s, ETA: 52s [ ] 7/256, 5.4 task/s, elapsed: 1s, ETA: 46s [> ] 8/256, 6.0 task/s, elapsed: 1s, ETA: 42s [> ] 9/256, 6.5 task/s, elapsed: 1s, ETA: 38s [> ] 10/256, 7.1 task/s, elapsed: 1s, ETA: 35s [> ] 11/256, 7.6 task/s, elapsed: 1s, ETA: 32s [> ] 12/256, 8.1 task/s, elapsed: 1s, ETA: 30s [> ] 13/256, 8.5 task/s, elapsed: 2s, ETA: 28s [> ] 14/256, 9.0 task/s, elapsed: 2s, ETA: 27s [> ] 15/256, 9.4 task/s, elapsed: 2s, ETA: 26s [>> ] 16/256, 9.8 task/s, elapsed: 2s, ETA: 24s [>> ] 17/256, 10.2 task/s, elapsed: 2s, ETA: 23s [>> ] 18/256, 10.6 task/s, elapsed: 2s, ETA: 22s [>> ] 19/256, 11.0 task/s, elapsed: 2s, ETA: 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+------------+-------+-------+ | Class | IoU | Acc | +------------+-------+-------+ | background | 100.0 | 100.0 | | fissure | nan | nan | +------------+-------+-------+ 2024-03-13 10:32:51,652 - mmseg - INFO - Summary: 2024-03-13 10:32:51,652 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 100.0 | 100.0 | 100.0 | +-------+-------+-------+ 2024-03-13 10:32:51,653 - mmseg - INFO - Exp name: sctnet-b_8x4_160k_ade.py 2024-03-13 10:32:51,653 - mmseg - INFO - Iter(val) [256] aAcc: 1.0000, mIoU: 1.0000, mAcc: 1.0000, IoU.background: 1.0000, IoU.fissure: nan, Acc.background: 1.0000, Acc.fissure: nan 2024-03-13 10:33:21,937 - mmseg - INFO - Iter [8050/160000] lr: 4.748e-04, eta: 1 day, 2:53:49, time: 0.800, data_time: 0.205, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.9088, loss: 4.9088 2024-03-13 10:33:52,627 - mmseg - INFO - Iter [8100/160000] lr: 4.747e-04, eta: 1 day, 2:52:55, time: 0.614, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.8102, loss: 4.8102 2024-03-13 10:34:26,092 - mmseg - INFO - Iter [8150/160000] lr: 4.745e-04, eta: 1 day, 2:52:54, time: 0.669, data_time: 0.066, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.8150, loss: 4.8150 2024-03-13 10:34:56,672 - mmseg - INFO - Iter [8200/160000] lr: 4.744e-04, eta: 1 day, 2:51:58, time: 0.612, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.6104, loss: 4.6104 2024-03-13 10:35:27,713 - mmseg - INFO - Iter [8250/160000] lr: 4.742e-04, eta: 1 day, 2:51:11, time: 0.621, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.7573, loss: 4.7573 2024-03-13 10:36:01,125 - mmseg - INFO - Iter [8300/160000] lr: 4.741e-04, eta: 1 day, 2:51:08, time: 0.668, data_time: 0.067, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.8586, loss: 4.8586 2024-03-13 10:36:31,901 - mmseg - INFO - Iter [8350/160000] lr: 4.739e-04, eta: 1 day, 2:50:16, time: 0.616, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.6518, loss: 4.6518 2024-03-13 10:37:05,431 - mmseg - INFO - Iter [8400/160000] lr: 4.738e-04, eta: 1 day, 2:50:14, time: 0.671, data_time: 0.067, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.8954, loss: 4.8954 2024-03-13 10:37:36,183 - mmseg - INFO - Iter [8450/160000] lr: 4.736e-04, eta: 1 day, 2:49:23, time: 0.615, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.6713, loss: 4.6713 2024-03-13 10:38:06,689 - mmseg - INFO - Iter [8500/160000] lr: 4.734e-04, eta: 1 day, 2:48:27, time: 0.610, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.7374, loss: 4.7374 2024-03-13 10:38:40,245 - mmseg - INFO - Iter [8550/160000] lr: 4.733e-04, eta: 1 day, 2:48:25, time: 0.671, data_time: 0.067, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.8362, loss: 4.8362 2024-03-13 10:39:11,047 - mmseg - INFO - Iter [8600/160000] lr: 4.731e-04, eta: 1 day, 2:47:34, time: 0.616, data_time: 0.012, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.6605, loss: 4.6605 2024-03-13 10:39:44,929 - mmseg - INFO - Iter [8650/160000] lr: 4.730e-04, eta: 1 day, 2:47:38, time: 0.678, data_time: 0.068, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.8442, loss: 4.8442 2024-03-13 10:40:15,656 - mmseg - INFO - Iter [8700/160000] lr: 4.728e-04, eta: 1 day, 2:46:46, time: 0.615, data_time: 0.012, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.7924, loss: 4.7924 2024-03-13 10:40:46,360 - mmseg - INFO - Iter [8750/160000] lr: 4.727e-04, eta: 1 day, 2:45:55, time: 0.614, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.6762, loss: 4.6762 2024-03-13 10:41:19,831 - mmseg - INFO - Iter [8800/160000] lr: 4.725e-04, eta: 1 day, 2:45:50, time: 0.669, data_time: 0.067, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.7480, loss: 4.7480 2024-03-13 10:41:50,626 - mmseg - INFO - Iter [8850/160000] lr: 4.723e-04, eta: 1 day, 2:45:00, time: 0.616, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.7723, loss: 4.7723 2024-03-13 10:42:21,501 - mmseg - INFO - Iter [8900/160000] lr: 4.722e-04, eta: 1 day, 2:44:12, time: 0.618, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.6745, loss: 4.6745 2024-03-13 10:42:54,980 - mmseg - INFO - Iter [8950/160000] lr: 4.720e-04, eta: 1 day, 2:44:07, time: 0.670, data_time: 0.070, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.7344, loss: 4.7344 2024-03-13 10:43:25,754 - mmseg - INFO - Exp name: sctnet-b_8x4_160k_ade.py 2024-03-13 10:43:25,754 - mmseg - INFO - Iter [9000/160000] lr: 4.719e-04, eta: 1 day, 2:43:17, time: 0.615, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.6473, loss: 4.6473 2024-03-13 10:43:59,393 - mmseg - INFO - Iter [9050/160000] lr: 4.717e-04, eta: 1 day, 2:43:15, time: 0.673, data_time: 0.069, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.7380, loss: 4.7380 2024-03-13 10:44:30,287 - mmseg - INFO - Iter [9100/160000] lr: 4.716e-04, eta: 1 day, 2:42:27, time: 0.618, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.7227, loss: 4.7227 2024-03-13 10:45:01,194 - mmseg - INFO - Iter [9150/160000] lr: 4.714e-04, eta: 1 day, 2:41:40, time: 0.618, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.6490, loss: 4.6490 2024-03-13 10:45:34,653 - mmseg - INFO - Iter [9200/160000] lr: 4.713e-04, eta: 1 day, 2:41:34, time: 0.669, data_time: 0.068, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.7281, loss: 4.7281 2024-03-13 10:46:05,385 - mmseg - INFO - Iter [9250/160000] lr: 4.711e-04, eta: 1 day, 2:40:44, time: 0.615, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.5648, loss: 4.5648 2024-03-13 10:46:38,984 - mmseg - INFO - Iter [9300/160000] lr: 4.709e-04, eta: 1 day, 2:40:40, time: 0.672, data_time: 0.067, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.7132, loss: 4.7132 2024-03-13 10:47:09,822 - mmseg - INFO - Iter [9350/160000] lr: 4.708e-04, eta: 1 day, 2:39:52, time: 0.617, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.5844, loss: 4.5844 2024-03-13 10:47:40,760 - mmseg - INFO - Iter [9400/160000] lr: 4.706e-04, eta: 1 day, 2:39:05, time: 0.619, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.6421, loss: 4.6421 2024-03-13 10:48:14,366 - mmseg - INFO - Iter [9450/160000] lr: 4.705e-04, eta: 1 day, 2:39:01, time: 0.672, data_time: 0.068, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.6147, loss: 4.6147 2024-03-13 10:48:45,099 - mmseg - INFO - Iter [9500/160000] lr: 4.703e-04, eta: 1 day, 2:38:12, time: 0.615, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.7215, loss: 4.7215 2024-03-13 10:49:18,744 - mmseg - INFO - Iter [9550/160000] lr: 4.702e-04, eta: 1 day, 2:38:08, time: 0.673, data_time: 0.068, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.5212, loss: 4.5212 2024-03-13 10:49:49,430 - mmseg - INFO - Iter [9600/160000] lr: 4.700e-04, eta: 1 day, 2:37:18, time: 0.614, data_time: 0.010, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.5776, loss: 4.5776 2024-03-13 10:50:20,475 - mmseg - INFO - Iter [9650/160000] lr: 4.698e-04, eta: 1 day, 2:36:33, time: 0.621, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.5824, loss: 4.5824 2024-03-13 10:50:53,809 - mmseg - INFO - Iter [9700/160000] lr: 4.697e-04, eta: 1 day, 2:36:24, time: 0.667, data_time: 0.065, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.4431, loss: 4.4431 2024-03-13 10:51:24,475 - mmseg - INFO - Iter [9750/160000] lr: 4.695e-04, eta: 1 day, 2:35:34, time: 0.613, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.5493, loss: 4.5493 2024-03-13 10:51:55,422 - mmseg - INFO - Iter [9800/160000] lr: 4.694e-04, eta: 1 day, 2:34:48, time: 0.619, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.4862, loss: 4.4862 2024-03-13 10:52:28,951 - mmseg - INFO - Iter [9850/160000] lr: 4.692e-04, eta: 1 day, 2:34:41, time: 0.671, data_time: 0.070, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.5311, loss: 4.5311 2024-03-13 10:52:59,705 - mmseg - INFO - Iter [9900/160000] lr: 4.691e-04, eta: 1 day, 2:33:53, time: 0.615, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.6233, loss: 4.6233 2024-03-13 10:53:33,415 - mmseg - INFO - Iter [9950/160000] lr: 4.689e-04, eta: 1 day, 2:33:49, time: 0.674, data_time: 0.069, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.6168, loss: 4.6168 2024-03-13 10:54:04,175 - mmseg - INFO - Exp name: sctnet-b_8x4_160k_ade.py 2024-03-13 10:54:04,176 - mmseg - INFO - Iter [10000/160000] lr: 4.688e-04, eta: 1 day, 2:33:00, time: 0.615, data_time: 0.012, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.5581, loss: 4.5581 2024-03-13 10:54:35,105 - mmseg - INFO - Iter [10050/160000] lr: 4.686e-04, eta: 1 day, 2:32:15, time: 0.619, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.5946, loss: 4.5946 2024-03-13 10:55:08,654 - mmseg - INFO - Iter [10100/160000] lr: 4.684e-04, eta: 1 day, 2:32:08, time: 0.671, data_time: 0.067, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.4960, loss: 4.4960 2024-03-13 10:55:39,507 - mmseg - INFO - Iter [10150/160000] lr: 4.683e-04, eta: 1 day, 2:31:21, time: 0.617, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.4454, loss: 4.4454 2024-03-13 10:56:12,971 - mmseg - INFO - Iter [10200/160000] lr: 4.681e-04, eta: 1 day, 2:31:13, time: 0.669, data_time: 0.066, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.5411, loss: 4.5411 2024-03-13 10:56:43,712 - mmseg - INFO - Iter [10250/160000] lr: 4.680e-04, eta: 1 day, 2:30:25, time: 0.615, data_time: 0.012, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.5029, loss: 4.5029 2024-03-13 10:57:14,523 - mmseg - INFO - Iter [10300/160000] lr: 4.678e-04, eta: 1 day, 2:29:37, time: 0.616, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.3540, loss: 4.3540 2024-03-13 10:57:47,984 - mmseg - INFO - Iter [10350/160000] lr: 4.677e-04, eta: 1 day, 2:29:29, time: 0.669, data_time: 0.065, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.4496, loss: 4.4496 2024-03-13 10:58:18,735 - mmseg - INFO - Iter [10400/160000] lr: 4.675e-04, eta: 1 day, 2:28:41, time: 0.615, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.6115, loss: 4.6115 2024-03-13 10:58:52,401 - mmseg - INFO - Iter [10450/160000] lr: 4.673e-04, eta: 1 day, 2:28:35, time: 0.673, data_time: 0.069, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.3188, loss: 4.3188 2024-03-13 10:59:23,040 - mmseg - INFO - Iter [10500/160000] lr: 4.672e-04, eta: 1 day, 2:27:46, time: 0.613, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.3777, loss: 4.3777 2024-03-13 10:59:54,086 - mmseg - INFO - Iter [10550/160000] lr: 4.670e-04, eta: 1 day, 2:27:02, time: 0.621, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.4914, loss: 4.4914 2024-03-13 11:00:27,551 - mmseg - INFO - Iter [10600/160000] lr: 4.669e-04, eta: 1 day, 2:26:53, time: 0.669, data_time: 0.067, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.3113, loss: 4.3113 2024-03-13 11:00:58,345 - mmseg - INFO - Iter [10650/160000] lr: 4.667e-04, eta: 1 day, 2:26:06, time: 0.616, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.4419, loss: 4.4419 2024-03-13 11:01:29,213 - mmseg - INFO - Iter [10700/160000] lr: 4.666e-04, eta: 1 day, 2:25:20, time: 0.617, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.4349, loss: 4.4349 2024-03-13 11:02:02,790 - mmseg - INFO - Iter [10750/160000] lr: 4.664e-04, eta: 1 day, 2:25:12, time: 0.672, data_time: 0.065, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.2874, loss: 4.2874 2024-03-13 11:02:33,604 - mmseg - INFO - Iter [10800/160000] lr: 4.663e-04, eta: 1 day, 2:24:26, time: 0.616, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.4681, loss: 4.4681 2024-03-13 11:03:07,085 - mmseg - INFO - Iter [10850/160000] lr: 4.661e-04, eta: 1 day, 2:24:16, time: 0.670, data_time: 0.067, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.3524, loss: 4.3524 2024-03-13 11:03:38,098 - mmseg - INFO - Iter [10900/160000] lr: 4.659e-04, eta: 1 day, 2:23:33, time: 0.620, data_time: 0.012, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.3047, loss: 4.3047 2024-03-13 11:04:09,138 - mmseg - INFO - Iter [10950/160000] lr: 4.658e-04, eta: 1 day, 2:22:50, time: 0.621, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.3502, loss: 4.3502 2024-03-13 11:04:42,610 - mmseg - INFO - Exp name: sctnet-b_8x4_160k_ade.py 2024-03-13 11:04:42,610 - mmseg - INFO - Iter [11000/160000] lr: 4.656e-04, eta: 1 day, 2:22:40, time: 0.669, data_time: 0.067, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.4336, loss: 4.4336 2024-03-13 11:05:13,318 - mmseg - INFO - Iter [11050/160000] lr: 4.655e-04, eta: 1 day, 2:21:52, time: 0.614, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.3591, loss: 4.3591 2024-03-13 11:05:46,959 - mmseg - INFO - Iter [11100/160000] lr: 4.653e-04, eta: 1 day, 2:21:44, time: 0.673, data_time: 0.066, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.4046, loss: 4.4046 2024-03-13 11:06:17,776 - mmseg - INFO - Iter [11150/160000] lr: 4.652e-04, eta: 1 day, 2:20:58, time: 0.616, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.3671, loss: 4.3671 2024-03-13 11:06:48,538 - mmseg - INFO - Iter [11200/160000] lr: 4.650e-04, eta: 1 day, 2:20:12, time: 0.615, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.3278, loss: 4.3278 2024-03-13 11:07:22,145 - mmseg - INFO - Iter [11250/160000] lr: 4.648e-04, eta: 1 day, 2:20:03, time: 0.672, data_time: 0.067, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.4169, loss: 4.4169 2024-03-13 11:07:52,844 - mmseg - INFO - Iter [11300/160000] lr: 4.647e-04, eta: 1 day, 2:19:16, time: 0.614, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.3497, loss: 4.3497 2024-03-13 11:08:23,657 - mmseg - INFO - Iter [11350/160000] lr: 4.645e-04, eta: 1 day, 2:18:30, time: 0.616, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.1575, loss: 4.1575 2024-03-13 11:08:57,238 - mmseg - INFO - Iter [11400/160000] lr: 4.644e-04, eta: 1 day, 2:18:21, time: 0.672, data_time: 0.067, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.2067, loss: 4.2067 2024-03-13 11:09:27,929 - mmseg - INFO - Iter [11450/160000] lr: 4.642e-04, eta: 1 day, 2:17:34, time: 0.614, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.3193, loss: 4.3193 2024-03-13 11:10:01,537 - mmseg - INFO - Iter [11500/160000] lr: 4.641e-04, eta: 1 day, 2:17:25, time: 0.672, data_time: 0.068, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.3074, loss: 4.3074 2024-03-13 11:10:32,274 - mmseg - INFO - Iter [11550/160000] lr: 4.639e-04, eta: 1 day, 2:16:38, time: 0.615, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.4477, loss: 4.4477 2024-03-13 11:11:02,955 - mmseg - INFO - Iter [11600/160000] lr: 4.638e-04, eta: 1 day, 2:15:51, time: 0.614, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.2295, loss: 4.2295 2024-03-13 11:11:36,481 - mmseg - INFO - Iter [11650/160000] lr: 4.636e-04, eta: 1 day, 2:15:41, time: 0.671, data_time: 0.067, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.3546, loss: 4.3546 2024-03-13 11:12:07,281 - mmseg - INFO - Iter [11700/160000] lr: 4.634e-04, eta: 1 day, 2:14:55, time: 0.616, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.2338, loss: 4.2338 2024-03-13 11:12:41,013 - mmseg - INFO - Iter [11750/160000] lr: 4.633e-04, eta: 1 day, 2:14:47, time: 0.675, data_time: 0.066, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.3737, loss: 4.3737 2024-03-13 11:13:11,589 - mmseg - INFO - Iter [11800/160000] lr: 4.631e-04, eta: 1 day, 2:13:59, time: 0.611, data_time: 0.010, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.1544, loss: 4.1544 2024-03-13 11:13:42,301 - mmseg - INFO - Iter [11850/160000] lr: 4.630e-04, eta: 1 day, 2:13:13, time: 0.614, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.2216, loss: 4.2216 2024-03-13 11:14:15,635 - mmseg - INFO - Iter [11900/160000] lr: 4.628e-04, eta: 1 day, 2:12:59, time: 0.667, data_time: 0.066, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.3037, loss: 4.3037 2024-03-13 11:14:46,435 - mmseg - INFO - Iter [11950/160000] lr: 4.627e-04, eta: 1 day, 2:12:14, time: 0.616, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.1870, loss: 4.1870 2024-03-13 11:15:20,164 - mmseg - INFO - Saving checkpoint at 12000 iterations 2024-03-13 11:15:21,298 - mmseg - INFO - Exp name: sctnet-b_8x4_160k_ade.py 2024-03-13 11:15:21,298 - mmseg - INFO - Iter [12000/160000] lr: 4.625e-04, eta: 1 day, 2:12:19, time: 0.697, data_time: 0.068, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.1433, loss: 4.1433 2024-03-13 11:15:51,947 - mmseg - INFO - Iter [12050/160000] lr: 4.623e-04, eta: 1 day, 2:11:32, time: 0.613, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.2725, loss: 4.2725 2024-03-13 11:16:22,591 - mmseg - INFO - Iter [12100/160000] lr: 4.622e-04, eta: 1 day, 2:10:46, time: 0.613, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.2314, loss: 4.2314 2024-03-13 11:16:56,185 - mmseg - INFO - Iter [12150/160000] lr: 4.620e-04, eta: 1 day, 2:10:35, time: 0.672, data_time: 0.067, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.1509, loss: 4.1509 2024-03-13 11:17:26,897 - mmseg - INFO - Iter [12200/160000] lr: 4.619e-04, eta: 1 day, 2:09:49, time: 0.614, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.0767, loss: 4.0767 2024-03-13 11:17:57,576 - mmseg - INFO - Iter [12250/160000] lr: 4.617e-04, eta: 1 day, 2:09:03, time: 0.614, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.2360, loss: 4.2360 2024-03-13 11:18:31,192 - mmseg - INFO - Iter [12300/160000] lr: 4.616e-04, eta: 1 day, 2:08:52, time: 0.672, data_time: 0.066, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.2351, loss: 4.2351 2024-03-13 11:19:02,028 - mmseg - INFO - Iter [12350/160000] lr: 4.614e-04, eta: 1 day, 2:08:08, time: 0.617, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.1970, loss: 4.1970 2024-03-13 11:19:35,496 - mmseg - INFO - Iter [12400/160000] lr: 4.613e-04, eta: 1 day, 2:07:55, time: 0.669, data_time: 0.068, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.2180, loss: 4.2180 2024-03-13 11:20:06,237 - mmseg - INFO - Iter [12450/160000] lr: 4.611e-04, eta: 1 day, 2:07:10, time: 0.615, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.0592, loss: 4.0592 2024-03-13 11:20:37,031 - mmseg - INFO - Iter [12500/160000] lr: 4.609e-04, eta: 1 day, 2:06:25, time: 0.616, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.1984, loss: 4.1984 2024-03-13 11:21:10,517 - mmseg - INFO - Iter [12550/160000] lr: 4.608e-04, eta: 1 day, 2:06:13, time: 0.670, data_time: 0.068, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.2307, loss: 4.2307 2024-03-13 11:21:41,352 - mmseg - INFO - Iter [12600/160000] lr: 4.606e-04, eta: 1 day, 2:05:29, time: 0.617, data_time: 0.012, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.1245, loss: 4.1245 2024-03-13 11:22:14,959 - mmseg - INFO - Iter [12650/160000] lr: 4.605e-04, eta: 1 day, 2:05:17, time: 0.672, data_time: 0.068, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 4.3862, loss: 4.3862 2024-03-13 11:22:45,705 - mmseg - INFO - Iter [12700/160000] lr: 4.603e-04, eta: 1 day, 2:04:32, time: 0.615, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 35.2869, loss: 35.2869 2024-03-13 11:23:16,410 - mmseg - INFO - Iter [12750/160000] lr: 4.602e-04, eta: 1 day, 2:03:47, time: 0.614, data_time: 0.010, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 63.7466, loss: 63.7466 2024-03-13 11:23:49,695 - mmseg - INFO - Iter [12800/160000] lr: 4.600e-04, eta: 1 day, 2:03:31, time: 0.666, data_time: 0.065, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 9.4916, loss: 9.4916 2024-03-13 11:24:20,492 - mmseg - INFO - Iter [12850/160000] lr: 4.598e-04, eta: 1 day, 2:02:47, time: 0.616, data_time: 0.010, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 7.1407, loss: 7.1407 2024-03-13 11:24:51,255 - mmseg - INFO - Iter [12900/160000] lr: 4.597e-04, eta: 1 day, 2:02:03, time: 0.615, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 6.6460, loss: 6.6460 2024-03-13 11:25:24,727 - mmseg - INFO - Iter [12950/160000] lr: 4.595e-04, eta: 1 day, 2:01:49, time: 0.669, data_time: 0.067, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 6.6704, loss: 6.6704 2024-03-13 11:25:55,403 - mmseg - INFO - Exp name: sctnet-b_8x4_160k_ade.py 2024-03-13 11:25:55,403 - mmseg - INFO - Iter [13000/160000] lr: 4.594e-04, eta: 1 day, 2:01:04, time: 0.614, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 6.2609, loss: 6.2609 2024-03-13 11:26:28,812 - mmseg - INFO - Iter [13050/160000] lr: 4.592e-04, eta: 1 day, 2:00:50, time: 0.668, data_time: 0.065, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 6.3574, loss: 6.3574 2024-03-13 11:26:59,693 - mmseg - INFO - Iter [13100/160000] lr: 4.591e-04, eta: 1 day, 2:00:07, time: 0.618, data_time: 0.010, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 6.2199, loss: 6.2199 2024-03-13 11:27:30,540 - mmseg - INFO - Iter [13150/160000] lr: 4.589e-04, eta: 1 day, 1:59:24, time: 0.617, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 6.1716, loss: 6.1716 2024-03-13 11:28:04,151 - mmseg - INFO - Iter [13200/160000] lr: 4.588e-04, eta: 1 day, 1:59:11, time: 0.672, data_time: 0.068, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.9821, loss: 5.9821 2024-03-13 11:28:34,864 - mmseg - INFO - Iter [13250/160000] lr: 4.586e-04, eta: 1 day, 1:58:27, time: 0.614, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 6.0892, loss: 6.0892 2024-03-13 11:29:08,202 - mmseg - INFO - Iter [13300/160000] lr: 4.584e-04, eta: 1 day, 1:58:11, time: 0.667, data_time: 0.067, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.9578, loss: 5.9578 2024-03-13 11:29:38,952 - mmseg - INFO - Iter [13350/160000] lr: 4.583e-04, eta: 1 day, 1:57:27, time: 0.615, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 6.0743, loss: 6.0743 2024-03-13 11:30:09,908 - mmseg - INFO - Iter [13400/160000] lr: 4.581e-04, eta: 1 day, 1:56:45, time: 0.619, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.9770, loss: 5.9770 2024-03-13 11:30:43,356 - mmseg - INFO - Iter [13450/160000] lr: 4.580e-04, eta: 1 day, 1:56:31, time: 0.669, data_time: 0.068, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.8563, loss: 5.8563 2024-03-13 11:31:31,579 - mmseg - INFO - Iter [13500/160000] lr: 4.578e-04, eta: 1 day, 1:58:56, time: 0.964, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.7129, loss: 5.7129 2024-03-13 11:32:35,440 - mmseg - INFO - Iter [13550/160000] lr: 4.577e-04, eta: 1 day, 2:04:10, time: 1.277, data_time: 0.069, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 6.0298, loss: 6.0298 2024-03-13 11:33:36,558 - mmseg - INFO - Iter [13600/160000] lr: 4.575e-04, eta: 1 day, 2:08:51, time: 1.222, data_time: 0.010, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.6566, loss: 5.6566 2024-03-13 11:34:35,052 - mmseg - INFO - Iter [13650/160000] lr: 4.573e-04, eta: 1 day, 2:13:01, time: 1.170, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.9330, loss: 5.9330 2024-03-13 11:35:39,244 - mmseg - INFO - Iter [13700/160000] lr: 4.572e-04, eta: 1 day, 2:18:10, time: 1.284, data_time: 0.069, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.6798, loss: 5.6798 2024-03-13 11:36:40,143 - mmseg - INFO - Iter [13750/160000] lr: 4.570e-04, eta: 1 day, 2:22:41, time: 1.218, data_time: 0.010, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.6202, loss: 5.6202 2024-03-13 11:37:38,701 - mmseg - INFO - Iter [13800/160000] lr: 4.569e-04, eta: 1 day, 2:26:45, time: 1.171, data_time: 0.010, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.5819, loss: 5.5819 2024-03-13 11:38:42,583 - mmseg - INFO - Iter [13850/160000] lr: 4.567e-04, eta: 1 day, 2:31:43, time: 1.278, data_time: 0.070, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.5709, loss: 5.5709 2024-03-13 11:39:43,680 - mmseg - INFO - Iter [13900/160000] lr: 4.566e-04, eta: 1 day, 2:36:09, time: 1.222, data_time: 0.010, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.5930, loss: 5.5930 2024-03-13 11:40:45,034 - mmseg - INFO - Iter [13950/160000] lr: 4.564e-04, eta: 1 day, 2:40:35, time: 1.227, data_time: 0.068, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.6450, loss: 5.6450 2024-03-13 11:41:27,282 - mmseg - INFO - Exp name: sctnet-b_8x4_160k_ade.py 2024-03-13 11:41:27,282 - mmseg - INFO - Iter [14000/160000] lr: 4.563e-04, eta: 1 day, 2:41:40, time: 0.845, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.4777, loss: 5.4777 2024-03-13 11:41:58,062 - mmseg - INFO - Iter [14050/160000] lr: 4.561e-04, eta: 1 day, 2:40:45, time: 0.616, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.6276, loss: 5.6276 2024-03-13 11:42:31,324 - mmseg - INFO - Iter [14100/160000] lr: 4.559e-04, eta: 1 day, 2:40:16, time: 0.665, data_time: 0.068, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.5853, loss: 5.5853 2024-03-13 11:43:01,834 - mmseg - INFO - Iter [14150/160000] lr: 4.558e-04, eta: 1 day, 2:39:18, time: 0.610, data_time: 0.010, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.7676, loss: 5.7676 2024-03-13 11:43:34,934 - mmseg - INFO - Iter [14200/160000] lr: 4.556e-04, eta: 1 day, 2:38:48, time: 0.662, data_time: 0.063, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.4824, loss: 5.4824 2024-03-13 11:44:05,640 - mmseg - INFO - Iter [14250/160000] lr: 4.555e-04, eta: 1 day, 2:37:52, time: 0.614, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.7147, loss: 5.7147 2024-03-13 11:44:36,312 - mmseg - INFO - Iter [14300/160000] lr: 4.553e-04, eta: 1 day, 2:36:57, time: 0.613, data_time: 0.010, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.3675, loss: 5.3675 2024-03-13 11:45:09,595 - mmseg - INFO - Iter [14350/160000] lr: 4.552e-04, eta: 1 day, 2:36:28, time: 0.666, data_time: 0.068, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.3648, loss: 5.3648 2024-03-13 11:45:40,193 - mmseg - INFO - Iter [14400/160000] lr: 4.550e-04, eta: 1 day, 2:35:32, time: 0.612, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.5657, loss: 5.5657 2024-03-13 11:46:13,532 - mmseg - INFO - Iter [14450/160000] lr: 4.548e-04, eta: 1 day, 2:35:04, time: 0.667, data_time: 0.066, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.3748, loss: 5.3748 2024-03-13 11:46:43,938 - mmseg - INFO - Iter [14500/160000] lr: 4.547e-04, eta: 1 day, 2:34:06, time: 0.608, data_time: 0.010, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.2611, loss: 5.2611 2024-03-13 11:47:14,685 - mmseg - INFO - Iter [14550/160000] lr: 4.545e-04, eta: 1 day, 2:33:12, time: 0.615, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.5348, loss: 5.5348 2024-03-13 11:47:47,983 - mmseg - INFO - Iter [14600/160000] lr: 4.544e-04, eta: 1 day, 2:32:44, time: 0.666, data_time: 0.067, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.4778, loss: 5.4778 2024-03-13 11:48:18,721 - mmseg - INFO - Iter [14650/160000] lr: 4.542e-04, eta: 1 day, 2:31:50, time: 0.615, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.4522, loss: 5.4522 2024-03-13 11:48:49,204 - mmseg - INFO - Iter [14700/160000] lr: 4.541e-04, eta: 1 day, 2:30:53, time: 0.610, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.3267, loss: 5.3267 2024-03-13 11:49:22,418 - mmseg - INFO - Iter [14750/160000] lr: 4.539e-04, eta: 1 day, 2:30:24, time: 0.664, data_time: 0.068, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.5032, loss: 5.5032 2024-03-13 11:49:53,182 - mmseg - INFO - Iter [14800/160000] lr: 4.538e-04, eta: 1 day, 2:29:31, time: 0.615, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.3382, loss: 5.3382 2024-03-13 11:50:26,607 - mmseg - INFO - Iter [14850/160000] lr: 4.536e-04, eta: 1 day, 2:29:04, time: 0.668, data_time: 0.067, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.3370, loss: 5.3370 2024-03-13 11:51:15,096 - mmseg - INFO - Iter [14900/160000] lr: 4.534e-04, eta: 1 day, 2:31:03, time: 0.970, data_time: 0.012, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.3988, loss: 5.3988 2024-03-13 11:52:01,647 - mmseg - INFO - Iter [14950/160000] lr: 4.533e-04, eta: 1 day, 2:32:43, time: 0.931, data_time: 0.012, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.4388, loss: 5.4388 2024-03-13 11:52:34,931 - mmseg - INFO - Exp name: sctnet-b_8x4_160k_ade.py 2024-03-13 11:52:34,932 - mmseg - INFO - Iter [15000/160000] lr: 4.531e-04, eta: 1 day, 2:32:13, time: 0.666, data_time: 0.068, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.4655, loss: 5.4655 2024-03-13 11:53:05,927 - mmseg - INFO - Iter [15050/160000] lr: 4.530e-04, eta: 1 day, 2:31:21, time: 0.620, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.3702, loss: 5.3702 2024-03-13 11:53:39,476 - mmseg - INFO - Iter [15100/160000] lr: 4.528e-04, eta: 1 day, 2:30:54, time: 0.671, data_time: 0.067, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.3837, loss: 5.3837 2024-03-13 11:54:10,888 - mmseg - INFO - Iter [15150/160000] lr: 4.527e-04, eta: 1 day, 2:30:07, time: 0.628, data_time: 0.012, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.2290, loss: 5.2290 2024-03-13 11:54:41,848 - mmseg - INFO - Iter [15200/160000] lr: 4.525e-04, eta: 1 day, 2:29:15, time: 0.619, data_time: 0.012, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.3407, loss: 5.3407 2024-03-13 11:55:16,508 - mmseg - INFO - Iter [15250/160000] lr: 4.523e-04, eta: 1 day, 2:28:59, time: 0.693, data_time: 0.069, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.2207, loss: 5.2207 2024-03-13 11:55:47,333 - mmseg - INFO - Iter [15300/160000] lr: 4.522e-04, eta: 1 day, 2:28:06, time: 0.617, data_time: 0.012, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.2817, loss: 5.2817 2024-03-13 11:56:18,335 - mmseg - INFO - Iter [15350/160000] lr: 4.520e-04, eta: 1 day, 2:27:15, time: 0.620, data_time: 0.011, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.3467, loss: 5.3467 2024-03-13 11:56:51,567 - mmseg - INFO - Iter [15400/160000] lr: 4.519e-04, eta: 1 day, 2:26:45, time: 0.665, data_time: 0.068, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.2208, loss: 5.2208 2024-03-13 11:57:22,945 - mmseg - INFO - Iter [15450/160000] lr: 4.517e-04, eta: 1 day, 2:25:57, time: 0.628, data_time: 0.012, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.2632, loss: 5.2632 2024-03-13 11:57:57,387 - mmseg - INFO - Iter [15500/160000] lr: 4.516e-04, eta: 1 day, 2:25:39, time: 0.689, data_time: 0.068, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.4776, loss: 5.4776 2024-03-13 11:58:28,260 - mmseg - INFO - Iter [15550/160000] lr: 4.514e-04, eta: 1 day, 2:24:47, time: 0.617, data_time: 0.012, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.1722, loss: 5.1722 2024-03-13 11:59:13,077 - mmseg - INFO - Iter [15600/160000] lr: 4.513e-04, eta: 1 day, 2:26:04, time: 0.896, data_time: 0.012, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.1646, loss: 5.1646 2024-03-13 12:00:17,214 - mmseg - INFO - Iter [15650/160000] lr: 4.511e-04, eta: 1 day, 2:30:19, time: 1.283, data_time: 0.066, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.3745, loss: 5.3745 2024-03-13 12:01:18,200 - mmseg - INFO - Iter [15700/160000] lr: 4.509e-04, eta: 1 day, 2:34:02, time: 1.220, data_time: 0.010, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.4117, loss: 5.4117 2024-03-13 12:02:19,779 - mmseg - INFO - Iter [15750/160000] lr: 4.508e-04, eta: 1 day, 2:37:50, time: 1.232, data_time: 0.068, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.3189, loss: 5.3189 2024-03-13 12:03:20,666 - mmseg - INFO - Iter [15800/160000] lr: 4.506e-04, eta: 1 day, 2:41:29, time: 1.218, data_time: 0.010, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.1611, loss: 5.1611 2024-03-13 12:04:21,614 - mmseg - INFO - Iter [15850/160000] lr: 4.505e-04, eta: 1 day, 2:45:07, time: 1.219, data_time: 0.010, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.2914, loss: 5.2914 2024-03-13 12:05:23,492 - mmseg - INFO - Iter [15900/160000] lr: 4.503e-04, eta: 1 day, 2:48:51, time: 1.238, data_time: 0.066, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.3057, loss: 5.3057 2024-03-13 12:06:24,382 - mmseg - INFO - Iter [15950/160000] lr: 4.502e-04, eta: 1 day, 2:52:25, time: 1.218, data_time: 0.010, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.1600, loss: 5.1600 2024-03-13 12:07:28,408 - mmseg - INFO - Saving checkpoint at 16000 iterations 2024-03-13 12:07:29,833 - mmseg - INFO - Exp name: sctnet-b_8x4_160k_ade.py 2024-03-13 12:07:29,834 - mmseg - INFO - Iter [16000/160000] lr: 4.500e-04, eta: 1 day, 2:56:39, time: 1.309, data_time: 0.069, memory: 8834, decode.loss_ce: 0.0000, decode.acc_seg: 100.0000, aux_0.loss_ce: 0.0000, aux_0.acc_seg: 100.0000, aux_1.loss_guidance: 5.4246, loss: 5.4246 [ ] 0/256, elapsed: 0s, ETA: [ ] 1/256, 9.3 task/s, elapsed: 0s, ETA: 27s [ ] 2/256, 13.4 task/s, elapsed: 0s, ETA: 19s [ ] 3/256, 15.8 task/s, elapsed: 0s, ETA: 16s [ ] 4/256, 17.3 task/s, elapsed: 0s, ETA: 15s [ ] 5/256, 18.6 task/s, elapsed: 0s, ETA: 13s [ ] 6/256, 19.7 task/s, elapsed: 0s, ETA: 13s [ ] 7/256, 20.5 task/s, elapsed: 0s, ETA: 12s [> ] 8/256, 20.8 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[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 251/256, 23.6 task/s, elapsed: 11s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 252/256, 23.6 task/s, elapsed: 11s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 253/256, 23.6 task/s, elapsed: 11s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 254/256, 23.6 task/s, elapsed: 11s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 255/256, 23.6 task/s, elapsed: 11s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 256/256, 23.6 task/s, elapsed: 11s, ETA: 0s2024-03-13 12:07:40,702 - mmseg - INFO - per class results: 2024-03-13 12:07:40,703 - mmseg - INFO - +------------+-------+-------+ | Class | IoU | Acc | +------------+-------+-------+ | background | 100.0 | 100.0 | | fissure | nan | nan | +------------+-------+-------+ 2024-03-13 12:07:40,703 - mmseg - INFO - Summary: 2024-03-13 12:07:40,704 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 100.0 | 100.0 | 100.0 | +-------+-------+-------+ 2024-03-13 12:07:40,704 - mmseg - INFO - Exp name: sctnet-b_8x4_160k_ade.py
llyyccccc
commented
3 months ago 请问大佬这个teacher模型该怎么训练得到呢？
llyyccccc
commented
3 months ago 我是直接使用ade的teacher模型作为自己数据的teacher 可能是这个原因？
AZong76
commented
3 months ago 也许是。你应该使用mmseg0.26.0版本中的segformer对应版本-b2/b 3，在你的数据集上进行训练，训练后的最佳权重，使用/tools/pth_convert.py，转成mmseg的教师权重，再从sctnet中作为教师进行加载训练
AZong76
commented
3 months ago 也许是。你应该使用mmseg0.26.0版本中的segformer对应版本-b2/b 3，在你的数据集上进行训练，训练后的最佳权重，使用/tools/pth_convert.py，转成mmseg的教师权重，再从sctnet中作为教师进行加载训练
https://github.com/xzz777/SCTNet/issues/24#issuecomment-2017379591
llyyccccc
commented
3 months ago 好嘞 谢谢大佬的解答
llyyccccc
commented
3 months ago 大佬还想问您一个问题，我在segformer训练时候用的是VOC格式数据集，这样训练下来的权重可以当做SCTnet的ade格式数据集的teacher权重吗？
AZong76
commented
3 months ago 应该可以，你可以尝试一下
------------------ 原始邮件 ------------------ 发件人: @.>; 发送时间: 2024年3月25日(星期一) 下午4:14 收件人: @.>; 抄送: @.>; @.>; 主题: Re: [xzz777/SCTNet] 您好，我尝试用SCTNet在iSAID数据集进行训练，模型精度出现问题 (Issue #24)
大佬还想问您一个问题，我在segformer训练时候用的是VOC格式数据集，这样训练下来的权重可以当做SCTnet的ade格式数据集的teacher权重吗？
— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.***>
llyyccccc
commented
3 months ago 应该可以，你可以尝试一下 … ------------------ 原始邮件 ------------------ 发件人: @.>; 发送时间: 2024年3月25日(星期一) 下午4:14 收件人: @.>; 抄送: @.>; @.>; 主题: Re: [xzz777/SCTNet] 您好，我尝试用SCTNet在iSAID数据集进行训练，模型精度出现问题 (Issue #24) 大佬还想问您一个问题，我在segformer训练时候用的是VOC格式数据集，这样训练下来的权重可以当做SCTnet的ade格式数据集的teacher权重吗？ — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.***>
mismatch for teacher_head.conv_seg.weight: copying a param with shape torch.Size([2, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([2, 256, 1, 1]). unexpected key in source state_dict: teacher_backbone.patch_embed1.proj.weight, teacher_backbone.patch_embed1.proj.bias, teacher_backbone.patch_embed1.norm.weight, teacher_backbone.patch_embed1.norm.bias, teacher_backbone.patch_embed2.proj.weight, teacher_backbone.patch_embed2.proj.bias, teacher_backbone.patch_embed2.norm.weight, teacher_backbone.patch_embed2.norm.bias, teacher_backbone.patch_embed3.proj.weight, teacher_backbone.patch_embed3.proj.bias, teacher_backbone.patch_embed3.norm.weight, teacher_backbone.patch_embed3.norm.bias, teacher_backbone.patch_embed4.proj.weight, teacher_backbone.patch_embed4.proj.bias, teacher_backbone.patch_embed4.norm.weight, teacher_backbone.patch_embed4.norm.bias, teacher_backbone.block1.0.norm1.weight, teacher_backbone.block1.0.norm1.bias, teacher_backbone.block1.0.attn.q.weight, teacher_backbone.block1.0.attn.q.bias, teacher_backbone.block1.0.attn.kv.weight, teacher_backbone.block1.0.attn.kv.bias, teacher_backbone.block1.0.attn.proj.weight, teacher_backbone.block1.0.attn.proj.bias, teacher_backbone.block1.0.attn.sr.weight, teacher_backbone.block1.0.attn.sr.bias, teacher_backbone.block1.0.attn.norm.weight, teacher_backbone.block1.0.attn.norm.bias, teacher_backbone.block1.0.norm2.weight, teacher_backbone.block1.0.norm2.bias, teacher_backbone.block1.0.mlp.fc1.weight, teacher_backbone.block1.0.mlp.fc1.bias, t 大佬 我在segformer预训练完 使用使用/tools/pth_convert.py 但是模型不匹配 你知道是什么原因吗？
llyyccccc
commented
3 months ago 应该可以，你可以尝试一下 … ------------------ 原始邮件 ------------------ 发件人: @.**>; 发送时间: 2024年3月25日(星期一) 下午4:14 收件人: @.**>; 抄送: @.**>; @.**>; 主题: Re: [xzz777/SCTNet] 您好，我尝试用SCTNet在iSAID数据集进行训练，模型精度出现问题 (Issue #24) 大佬还想问您一个问题，我在segformer训练时候用的是VOC格式数据集，这样训练下来的权重可以当做SCTnet的ade格式数据集的teacher权重吗？ — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.***>
mismatch for teacher_head.conv_seg.weight: copying a param with shape torch.Size([2, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([2, 256, 1, 1]). unexpected key in source state_dict: teacher_backbone.patch_embed1.proj.weight, teacher_backbone.patch_embed1.proj.bias, teacher_backbone.patch_embed1.norm.weight, teacher_backbone.patch_embed1.norm.bias, teacher_backbone.patch_embed2.proj.weight, teacher_backbone.patch_embed2.proj.bias, teacher_backbone.patch_embed2.norm.weight, teacher_backbone.patch_embed2.norm.bias, teacher_backbone.patch_embed3.proj.weight, teacher_backbone.patch_embed3.proj.bias, teacher_backbone.patch_embed3.norm.weight, teacher_backbone.patch_embed3.norm.bias, teacher_backbone.patch_embed4.proj.weight, teacher_backbone.patch_embed4.proj.bias, teacher_backbone.patch_embed4.norm.weight, teacher_backbone.patch_embed4.norm.bias, teacher_backbone.block1.0.norm1.weight, teacher_backbone.block1.0.norm1.bias, teacher_backbone.block1.0.attn.q.weight, teacher_backbone.block1.0.attn.q.bias, teacher_backbone.block1.0.attn.kv.weight, teacher_backbone.block1.0.attn.kv.bias, teacher_backbone.block1.0.attn.proj.weight, teacher_backbone.block1.0.attn.proj.bias, teacher_backbone.block1.0.attn.sr.weight, teacher_backbone.block1.0.attn.sr.bias, teacher_backbone.block1.0.attn.norm.weight, teacher_backbone.block1.0.attn.norm.bias, teacher_backbone.block1.0.norm2.weight, teacher_backbone.block1.0.norm2.bias, teacher_backbone.block1.0.mlp.fc1.weight, teacher_backbone.block1.0.mlp.fc1.bias, t 大佬 我在segformer预训练完 使用使用/tools/pth_convert.py 但是模型不匹配 你知道是什么原因吗？
我是使用的segformerB3训练的
llyyccccc
commented
3 months ago 应该可以，你可以尝试一下 … ------------------ 原始邮件 ------------------ 发件人: @.**>; 发送时间: 2024年3月25日(星期一) 下午4:14 收件人: @.**>; 抄送: @.**>; @.**>; 主题: Re: [xzz777/SCTNet] 您好，我尝试用SCTNet在iSAID数据集进行训练，模型精度出现问题 (Issue #24) 大佬还想问您一个问题，我在segformer训练时候用的是VOC格式数据集，这样训练下来的权重可以当做SCTnet的ade格式数据集的teacher权重吗？ — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.***>
mismatch for teacher_head.conv_seg.weight: copying a param with shape torch.Size([2, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([2, 256, 1, 1]). unexpected key in source state_dict: teacher_backbone.patch_embed1.proj.weight, teacher_backbone.patch_embed1.proj.bias, teacher_backbone.patch_embed1.norm.weight, teacher_backbone.patch_embed1.norm.bias, teacher_backbone.patch_embed2.proj.weight, teacher_backbone.patch_embed2.proj.bias, teacher_backbone.patch_embed2.norm.weight, teacher_backbone.patch_embed2.norm.bias, teacher_backbone.patch_embed3.proj.weight, teacher_backbone.patch_embed3.proj.bias, teacher_backbone.patch_embed3.norm.weight, teacher_backbone.patch_embed3.norm.bias, teacher_backbone.patch_embed4.proj.weight, teacher_backbone.patch_embed4.proj.bias, teacher_backbone.patch_embed4.norm.weight, teacher_backbone.patch_embed4.norm.bias, teacher_backbone.block1.0.norm1.weight, teacher_backbone.block1.0.norm1.bias, teacher_backbone.block1.0.attn.q.weight, teacher_backbone.block1.0.attn.q.bias, teacher_backbone.block1.0.attn.kv.weight, teacher_backbone.block1.0.attn.kv.bias, teacher_backbone.block1.0.attn.proj.weight, teacher_backbone.block1.0.attn.proj.bias, teacher_backbone.block1.0.attn.sr.weight, teacher_backbone.block1.0.attn.sr.bias, teacher_backbone.block1.0.attn.norm.weight, teacher_backbone.block1.0.attn.norm.bias, teacher_backbone.block1.0.norm2.weight, teacher_backbone.block1.0.norm2.bias, teacher_backbone.block1.0.mlp.fc1.weight, teacher_backbone.block1.0.mlp.fc1.bias, t 大佬 我在segformer预训练完 使用使用/tools/pth_convert.py 但是模型不匹配 你知道是什么原因吗？
转换成teacher的权重 但在训练SCTNet是提示模型不匹配
ZJDATY
commented
2 months ago 应该可以，你可以尝试一下 … ------------------ 原始邮件 ------------------ 发件人: @.**>; 发送时间: 2024年3月25日(星期一) 下午4:14 收件人: @.**>; 抄送: @.**>; @.**>; 主题: Re: [xzz777/SCTNet] 您好，我尝试用SCTNet在iSAID数据集进行训练，模型精度出现问题 (Issue #24) 大佬还想问您一个问题，我在segformer训练时候用的是VOC格式数据集，这样训练下来的权重可以当做SCTnet的ade格式数据集的teacher权重吗？ — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.***>
mismatch for teacher_head.conv_seg.weight: copying a param with shape torch.Size([2, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([2, 256, 1, 1]). unexpected key in source state_dict: teacher_backbone.patch_embed1.proj.weight, teacher_backbone.patch_embed1.proj.bias, teacher_backbone.patch_embed1.norm.weight, teacher_backbone.patch_embed1.norm.bias, teacher_backbone.patch_embed2.proj.weight, teacher_backbone.patch_embed2.proj.bias, teacher_backbone.patch_embed2.norm.weight, teacher_backbone.patch_embed2.norm.bias, teacher_backbone.patch_embed3.proj.weight, teacher_backbone.patch_embed3.proj.bias, teacher_backbone.patch_embed3.norm.weight, teacher_backbone.patch_embed3.norm.bias, teacher_backbone.patch_embed4.proj.weight, teacher_backbone.patch_embed4.proj.bias, teacher_backbone.patch_embed4.norm.weight, teacher_backbone.patch_embed4.norm.bias, teacher_backbone.block1.0.norm1.weight, teacher_backbone.block1.0.norm1.bias, teacher_backbone.block1.0.attn.q.weight, teacher_backbone.block1.0.attn.q.bias, teacher_backbone.block1.0.attn.kv.weight, teacher_backbone.block1.0.attn.kv.bias, teacher_backbone.block1.0.attn.proj.weight, teacher_backbone.block1.0.attn.proj.bias, teacher_backbone.block1.0.attn.sr.weight, teacher_backbone.block1.0.attn.sr.bias, teacher_backbone.block1.0.attn.norm.weight, teacher_backbone.block1.0.attn.norm.bias, teacher_backbone.block1.0.norm2.weight, teacher_backbone.block1.0.norm2.bias, teacher_backbone.block1.0.mlp.fc1.weight, teacher_backbone.block1.0.mlp.fc1.bias, t 大佬 我在segformer预训练完 使用使用/tools/pth_convert.py 但是模型不匹配 你知道是什么原因吗？
转换成teacher的权重 但在训练SCTNet是提示模型不匹配
https://github.com/xzz777/SCTNet/issues/7#issuecomment-2051284008 我想问一下 你的segformer 模型 是用的mmseg训练的吗？我用的是 internimage 里的。也有一堆不匹配的错误。想知道作者是用的什么segformer库。
xzz777
commented
2 months ago 我用的是mmseg提供的segformer权重，https://github.com/open-mmlab/mmsegmentation/tree/master/configs/segformer。我附录用的internimage模型也可以用这个脚本转换。这个脚本就是把mmseg架构训出来的权重键名对应改一下，你如果用别的架构训出来的权重，自己写一下转化脚本可以。 另外，我没在遥感分割数据集上做过实验，所以不太清楚这些数据集上的效果。如果只是为了项目使用的话，换其他教师模型也可以。我后来做项目scale up了一版本用的就是internimage XL当的teacher。
我在iSAID数据集上训练了segformer-b2作为teacher 之后训练SCTNet，修改了配置文件，能成功训练，但是训练出来的结果一直不超过1mIoU，相关精度也很低，请问问题出在哪里，下面是配置文件：
1. model config
checkpoint_teacher = '/home/lyu3/datasets/dh/seg/mmsegmentation-0.26.0/3.11segformer---teacher/segformer_weight/segformer_isaid_b2_63.37.pth' checkpoint_backbone = '/home/lyu3/datasets/dh/seg/mmsegmentation-0.26.0/pretrain_weight/SCT-S_Pretrain.pth'
norm_cfg = dict(type='SyncBN', requires_grad=True) model = dict( type='EncoderDecoder_Distill', pretrained=None, backbone=dict( type='SCTNet', init_cfg=dict( type='Pretrained', checkpoint= checkpoint_backbone ), base_channels=32, spp_channels=64), decode_head=dict( type='SCTHead', in_channels=128, channels=128, dropout_ratio=0.0, in_index=0, num_classes=16, align_corners=False, loss_decode=dict( type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), auxiliary_head=[ dict( type='AU_SCTHead', in_channels=64, channels=64, dropout_ratio=0.0, in_index=1, num_classes=16, align_corners=False, loss_decode=dict( type='CrossEntropyLoss', use_sigmoid=False, loss_weight=0.4)), dict( type='VitGuidanceHead', init_cfg=dict( type='Pretrained', checkpoint= checkpoint_teacher), in_channels=128, channels=128, base_channels=32, in_index=2, num_classes=16, loss_decode=dict(type='AlignmentLoss', loss_weight=[3, 15, 15, 15])) ], train_cfg=dict(), test_cfg=dict(mode='whole'))
2. data config
2. data config
dataset_type = 'iSAIDDataset' data_root = '/home/lyu3/datasets/data/iSAID' img_norm_cfg = dict( mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) crop_size = (896, 896) train_pipeline = [ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations'), dict(type='Resize', img_scale=(896, 896), ratio_range=(0.5, 2.0)), dict(type='RandomCrop', crop_size=(896, 896), cat_max_ratio=0.75), dict(type='RandomFlip', prob=0.5), dict(type='PhotoMetricDistortion'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size=(896, 896), pad_val=0, seg_pad_val=255), dict(type='DefaultFormatBundle'), dict(type='Collect', keys=['img', 'gt_semantic_seg']) ] test_pipeline = [ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(896, 896), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ] data = dict( samples_per_gpu=2, workers_per_gpu=2, train=dict( type='iSAIDDataset', data_root=data_root, img_dir='img_dir/train', ann_dir='ann_dir/train', pipeline=[ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', reduce_zero_label=True), dict(type='Resize', img_scale=(896, 896), ratio_range=(0.5, 2.0)), dict(type='RandomCrop', crop_size=(896, 896), cat_max_ratio=0.75), dict(type='RandomFlip', prob=0.5), dict(type='PhotoMetricDistortion'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size=(896, 896), pad_val=0, seg_pad_val=255), dict(type='DefaultFormatBundle'), dict(type='Collect', keys=['img', 'gt_semantic_seg']) ]), val=dict( type='iSAIDDataset', data_root=data_root, img_dir='img_dir/val', ann_dir='ann_dir/val', pipeline=[ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(896, 896), flip=False, transforms=[ dict(type='Resize',keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ]),
3. optimizer config
log_config = dict( interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) dist_params = dict(backend='nccl') log_level = 'INFO' load_from = None resume_from = None workflow = [('train', 1)] cudnn_benchmark = True optimizer = dict( type='AdamW', lr=0.00004, betas=(0.9, 0.999), weight_decay=0.0125, paramwise_cfg=dict( custom_keys=dict( head=dict(lr_mult=10.0), teacher_backbone=dict(lr_mult=0.0), teacher_head=dict(lr_mult=0.0)))) optimizer_config = dict() lr_config = dict( policy='poly', warmup='linear', warmup_iters=1500, warmup_ratio=1e-06, power=1.0, min_lr=1e-06, by_epoch=False) runner = dict(type='IterBasedRunner', max_iters=160000) checkpoint_config = dict(by_epoch=False, interval=2000) evaluation = dict(interval=2000, metric='mIoU', pre_eval=True) find_unused_parameters = True auto_resume = True seed = 753690713
下面是部分训练日志结果： 2024-03-24 18:08:23,557 - mmseg - INFO - Iter [50/160000] lr: 1.306e-06, eta: 8:14:52, time: 0.186, data_time: 0.008, memory: 9280, decode.loss_ce: 0.1029, decode.acc_seg: 28.7966, aux_0.loss_ce: 0.0397, aux_0.acc_seg: 26.6864, aux_1.loss_guidance: 61.3439, loss: 61.4865 2024-03-24 18:08:29,212 - mmseg - INFO - Iter [100/160000] lr: 2.638e-06, eta: 6:38:01, time: 0.113, data_time: 0.005, memory: 9280, decode.loss_ce: 0.0729, decode.acc_seg: 25.7151, aux_0.loss_ce: 0.0294, aux_0.acc_seg: 22.5261, aux_1.loss_guidance: 56.2452, loss: 56.3474 2024-03-24 18:08:34,860 - mmseg - INFO - Iter [150/160000] lr: 3.970e-06, eta: 6:05:35, time: 0.113, data_time: 0.006, memory: 9280, decode.loss_ce: 0.0724, decode.acc_seg: 25.0594, aux_0.loss_ce: 0.0279, aux_0.acc_seg: 22.1510, aux_1.loss_guidance: 53.2648, loss: 53.3651 2024-03-24 18:08:40,483 - mmseg - INFO - Iter [200/160000] lr: 5.300e-06, eta: 5:48:58, time: 0.112, data_time: 0.006, memory: 9280, decode.loss_ce: 0.0622, decode.acc_seg: 31.9649, aux_0.loss_ce: 0.0268, aux_0.acc_seg: 28.5338, aux_1.loss_guidance: 47.8961, loss: 47.9851 2024-03-24 18:08:46,129 - mmseg - INFO - Iter [250/160000] lr: 6.630e-06, eta: 5:39:12, time: 0.113, data_time: 0.005, memory: 9280, decode.loss_ce: 0.0434, decode.acc_seg: 41.2521, aux_0.loss_ce: 0.0188, aux_0.acc_seg: 31.9879, aux_1.loss_guidance: 43.5416, loss: 43.6039 2024-03-24 18:08:51,678 - mmseg - INFO - Iter [300/160000] lr: 7.959e-06, eta: 5:31:49, time: 0.111, data_time: 0.005, memory: 9280, decode.loss_ce: 0.0444, decode.acc_seg: 48.1008, aux_0.loss_ce: 0.0198, aux_0.acc_seg: 37.5537, aux_1.loss_guidance: 40.8794, loss: 40.9435 2024-03-24 18:08:57,413 - mmseg - INFO - Iter [350/160000] lr: 9.287e-06, eta: 5:27:55, time: 0.115, data_time: 0.006, memory: 9280, decode.loss_ce: 0.0378, decode.acc_seg: 41.2877, aux_0.loss_ce: 0.0171, aux_0.acc_seg: 34.1715, aux_1.loss_guidance: 37.7566, loss: 37.8115 2024-03-24 18:09:03,161 - mmseg - INFO - Iter [400/160000] lr: 1.061e-05, eta: 5:25:03, time: 0.115, data_time: 0.005, memory: 9280, decode.loss_ce: 0.0369, decode.acc_seg: 49.8642, aux_0.loss_ce: 0.0172, aux_0.acc_seg: 42.5169, aux_1.loss_guidance: 36.3067, loss: 36.3608 2024-03-24 18:09:08,952 - mmseg - INFO - Iter [450/160000] lr: 1.194e-05, eta: 5:23:04, time: 0.116, data_time: 0.006, memory: 9280, decode.loss_ce: 0.0308, decode.acc_seg: 42.7648, aux_0.loss_ce: 0.0139, aux_0.acc_seg: 35.9738, aux_1.loss_guidance: 34.3458, loss: 34.3905 2024-03-24 18:09:14,708 - mmseg - INFO - Iter [500/160000] lr: 1.327e-05, eta: 5:21:16, time: 0.115, data_time: 0.005, memory: 9280, decode.loss_ce: 0.0339, decode.acc_seg: 48.7115, aux_0.loss_ce: 0.0143, aux_0.acc_seg: 45.2244, aux_1.loss_guidance: 31.0622, loss: 31.1104 2024-03-24 18:09:20,397 - mmseg - INFO - Iter [550/160000] lr: 1.459e-05, eta: 5:19:27, time: 0.114, data_time: 0.005, memory: 9280, decode.loss_ce: 0.0301, decode.acc_seg: 54.2438, aux_0.loss_ce: 0.0138, aux_0.acc_seg: 48.6255, aux_1.loss_guidance: 30.5829, loss: 30.6269 2024-03-24 18:09:25,900 - mmseg - INFO - Iter [600/160000] lr: 1.592e-05, eta: 5:17:07, time: 0.110, data_time: 0.005, memory: 9280, decode.loss_ce: 0.0342, decode.acc_seg: 47.4227, aux_0.loss_ce: 0.0161, aux_0.acc_seg: 38.6949, aux_1.loss_guidance: 29.5976, loss: 29.6479 2024-03-24 18:09:31,489 - mmseg - INFO - Iter [650/160000] lr: 1.724e-05, eta: 5:15:27, time: 0.112, data_time: 0.005, memory: 9280, decode.loss_ce: 0.0878, decode.acc_seg: 48.5717, aux_0.loss_ce: 0.0408, aux_0.acc_seg: 42.5195, aux_1.loss_guidance: 29.5140, loss: 29.6425 2024-03-24 18:09:37,169 - mmseg - INFO - Iter [700/160000] lr: 1.856e-05, eta: 5:14:22, time: 0.114, data_time: 0.006, memory: 9280, decode.loss_ce: 0.0578, decode.acc_seg: 53.7924, aux_0.loss_ce: 0.0276, aux_0.acc_seg: 49.3588, aux_1.loss_guidance: 27.4202, loss: 27.5057 2024-03-24 18:09:42,817 - mmseg - INFO - Iter [750/160000] lr: 1.988e-05, eta: 5:13:18, time: 0.113, data_time: 0.005, memory: 9280, decode.loss_ce: 0.0324, decode.acc_seg: 39.6027, aux_0.loss_ce: 0.0144, aux_0.acc_seg: 36.8799, aux_1.loss_guidance: 27.0438, loss: 27.0907 2024-03-24 18:09:48,872 - mmseg - INFO - Iter [800/160000] lr: 2.120e-05, eta: 5:13:43, time: 0.121, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0399, decode.acc_seg: 50.7255, aux_0.loss_ce: 0.0197, aux_0.acc_seg: 49.2469, aux_1.loss_guidance: 25.3512, loss: 25.4107 2024-03-24 18:09:54,753 - mmseg - INFO - Iter [850/160000] lr: 2.252e-05, eta: 5:13:31, time: 0.118, data_time: 0.006, memory: 9280, decode.loss_ce: 0.0563, decode.acc_seg: 43.1194, aux_0.loss_ce: 0.0249, aux_0.acc_seg: 37.7912, aux_1.loss_guidance: 25.0798, loss: 25.1610 2024-03-24 18:10:00,629 - mmseg - INFO - Iter [900/160000] lr: 2.384e-05, eta: 5:13:19, time: 0.118, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0295, decode.acc_seg: 50.0196, aux_0.loss_ce: 0.0126, aux_0.acc_seg: 47.1327, aux_1.loss_guidance: 24.2165, loss: 24.2585 2024-03-24 18:10:06,435 - mmseg - INFO - Iter [950/160000] lr: 2.516e-05, eta: 5:12:56, time: 0.116, data_time: 0.006, memory: 9280, decode.loss_ce: 0.0326, decode.acc_seg: 59.2975, aux_0.loss_ce: 0.0156, aux_0.acc_seg: 54.0146, aux_1.loss_guidance: 23.7040, loss: 23.7521 2024-03-24 18:10:12,101 - mmseg - INFO - Exp name: sctnet-b_seg896x896_8x2_160k_isaid_base_3.24.py 2024-03-24 18:10:12,101 - mmseg - INFO - Iter [1000/160000] lr: 2.648e-05, eta: 5:12:12, time: 0.113, data_time: 0.006, memory: 9280, decode.loss_ce: 0.0311, decode.acc_seg: 48.3481, aux_0.loss_ce: 0.0140, aux_0.acc_seg: 44.2206, aux_1.loss_guidance: 24.3992, loss: 24.4443 2024-03-24 18:10:17,888 - mmseg - INFO - Iter [1050/160000] lr: 2.779e-05, eta: 5:11:51, time: 0.116, data_time: 0.006, memory: 9280, decode.loss_ce: 0.0488, decode.acc_seg: 51.2486, aux_0.loss_ce: 0.0220, aux_0.acc_seg: 49.2147, aux_1.loss_guidance: 23.7946, loss: 23.8654 2024-03-24 18:10:23,571 - mmseg - INFO - Iter [1100/160000] lr: 2.911e-05, eta: 5:11:15, time: 0.114, data_time: 0.006, memory: 9280, decode.loss_ce: 0.0369, decode.acc_seg: 56.7201, aux_0.loss_ce: 0.0178, aux_0.acc_seg: 49.8634, aux_1.loss_guidance: 22.3643, loss: 22.4190 2024-03-24 18:10:30,098 - mmseg - INFO - Iter [1150/160000] lr: 3.043e-05, eta: 5:12:39, time: 0.131, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0447, decode.acc_seg: 53.5907, aux_0.loss_ce: 0.0200, aux_0.acc_seg: 51.2094, aux_1.loss_guidance: 23.2805, loss: 23.3452 2024-03-24 18:10:36,843 - mmseg - INFO - Iter [1200/160000] lr: 3.174e-05, eta: 5:14:25, time: 0.135, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0369, decode.acc_seg: 52.6180, aux_0.loss_ce: 0.0165, aux_0.acc_seg: 49.7290, aux_1.loss_guidance: 22.3180, loss: 22.3714 2024-03-24 18:10:43,522 - mmseg - INFO - Iter [1250/160000] lr: 3.305e-05, eta: 5:15:52, time: 0.134, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0318, decode.acc_seg: 41.8102, aux_0.loss_ce: 0.0134, aux_0.acc_seg: 39.7675, aux_1.loss_guidance: 22.3512, loss: 22.3964 2024-03-24 18:10:50,185 - mmseg - INFO - Iter [1300/160000] lr: 3.437e-05, eta: 5:17:11, time: 0.133, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0383, decode.acc_seg: 55.4350, aux_0.loss_ce: 0.0172, aux_0.acc_seg: 52.5112, aux_1.loss_guidance: 21.7094, loss: 21.7649 2024-03-24 18:10:56,883 - mmseg - INFO - Iter [1350/160000] lr: 3.568e-05, eta: 5:18:27, time: 0.134, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0247, decode.acc_seg: 63.3103, aux_0.loss_ce: 0.0122, aux_0.acc_seg: 62.5413, aux_1.loss_guidance: 21.3625, loss: 21.3993 2024-03-24 18:11:03,721 - mmseg - INFO - Iter [1400/160000] lr: 3.699e-05, eta: 5:19:54, time: 0.137, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0277, decode.acc_seg: 67.7797, aux_0.loss_ce: 0.0119, aux_0.acc_seg: 65.0886, aux_1.loss_guidance: 22.3978, loss: 22.4375 2024-03-24 18:11:11,273 - mmseg - INFO - Iter [1450/160000] lr: 3.830e-05, eta: 5:22:32, time: 0.151, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0330, decode.acc_seg: 49.5667, aux_0.loss_ce: 0.0149, aux_0.acc_seg: 48.7031, aux_1.loss_guidance: 21.6126, loss: 21.6605 2024-03-24 18:11:19,070 - mmseg - INFO - Iter [1500/160000] lr: 3.961e-05, eta: 5:25:25, time: 0.156, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0314, decode.acc_seg: 49.1153, aux_0.loss_ce: 0.0134, aux_0.acc_seg: 47.7588, aux_1.loss_guidance: 21.4546, loss: 21.4995 2024-03-24 18:11:26,820 - mmseg - INFO - Iter [1550/160000] lr: 3.962e-05, eta: 5:28:01, time: 0.155, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0482, decode.acc_seg: 48.8032, aux_0.loss_ce: 0.0207, aux_0.acc_seg: 46.9984, aux_1.loss_guidance: 21.5911, loss: 21.6600 2024-03-24 18:11:34,008 - mmseg - INFO - Iter [1600/160000] lr: 3.961e-05, eta: 5:29:31, time: 0.144, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0365, decode.acc_seg: 61.6235, aux_0.loss_ce: 0.0163, aux_0.acc_seg: 59.7202, aux_1.loss_guidance: 22.3949, loss: 22.4477 2024-03-24 18:11:40,750 - mmseg - INFO - Iter [1650/160000] lr: 3.960e-05, eta: 5:30:13, time: 0.135, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0223, decode.acc_seg: 60.9629, aux_0.loss_ce: 0.0097, aux_0.acc_seg: 61.3307, aux_1.loss_guidance: 21.5320, loss: 21.5640 2024-03-24 18:11:47,200 - mmseg - INFO - Iter [1700/160000] lr: 3.959e-05, eta: 5:30:25, time: 0.129, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0443, decode.acc_seg: 52.4705, aux_0.loss_ce: 0.0194, aux_0.acc_seg: 47.3085, aux_1.loss_guidance: 20.9190, loss: 20.9827 2024-03-24 18:11:53,827 - mmseg - INFO - Iter [1750/160000] lr: 3.957e-05, eta: 5:30:52, time: 0.133, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0291, decode.acc_seg: 48.0919, aux_0.loss_ce: 0.0126, aux_0.acc_seg: 44.6694, aux_1.loss_guidance: 20.2864, loss: 20.3281 2024-03-24 18:12:00,270 - mmseg - INFO - Iter [1800/160000] lr: 3.956e-05, eta: 5:31:00, time: 0.129, data_time: 0.006, memory: 9280, decode.loss_ce: 0.0435, decode.acc_seg: 50.4696, aux_0.loss_ce: 0.0179, aux_0.acc_seg: 47.8905, aux_1.loss_guidance: 20.3165, loss: 20.3779 2024-03-24 18:12:06,938 - mmseg - INFO - Iter [1850/160000] lr: 3.955e-05, eta: 5:31:27, time: 0.133, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0322, decode.acc_seg: 49.7017, aux_0.loss_ce: 0.0136, aux_0.acc_seg: 47.3606, aux_1.loss_guidance: 20.2875, loss: 20.3333 2024-03-24 18:12:13,532 - mmseg - INFO - Iter [1900/160000] lr: 3.954e-05, eta: 5:31:47, time: 0.132, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0558, decode.acc_seg: 59.2886, aux_0.loss_ce: 0.0239, aux_0.acc_seg: 53.9466, aux_1.loss_guidance: 21.6661, loss: 21.7458 2024-03-24 18:12:21,077 - mmseg - INFO - Iter [1950/160000] lr: 3.952e-05, eta: 5:33:22, time: 0.151, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0436, decode.acc_seg: 49.3438, aux_0.loss_ce: 0.0194, aux_0.acc_seg: 46.1019, aux_1.loss_guidance: 20.9557, loss: 21.0186 2024-03-24 18:12:28,729 - mmseg - INFO - Saving checkpoint at 2000 iterations 2024-03-24 18:12:30,262 - mmseg - INFO - Exp name: sctnet-b_seg896x896_8x2_160k_isaid_base_3.24.py 2024-03-24 18:12:30,262 - mmseg - INFO - Iter [2000/160000] lr: 3.951e-05, eta: 5:37:01, time: 0.184, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0392, decode.acc_seg: 49.1988, aux_0.loss_ce: 0.0171, aux_0.acc_seg: 45.8009, aux_1.loss_guidance: 21.4329, loss: 21.4892 2024-03-24 18:21:48,896 - mmseg - INFO - per class results: 2024-03-24 18:21:48,899 - mmseg - INFO - +--------------------+------+-------+ | Class | IoU | Acc | +--------------------+------+-------+ | background | 2.81 | 2.82 | | ship | 0.17 | 0.42 | | store_tank | 0.65 | 0.93 | | baseball_diamond | 0.04 | 6.48 | | tennis_court | 0.04 | 0.17 | | basketball_court | 0.12 | 25.81 | | Ground_Track_Field | 0.06 | 0.16 | | Bridge | 0.03 | 8.02 | | Large_Vehicle | 0.25 | 6.61 | | Small_Vehicle | 0.0 | 0.0 | | Helicopter | 0.0 | 0.0 | | Swimming_pool | 0.0 | 0.03 | | Roundabout | 0.01 | 11.82 | | Soccer_ball_field | 0.03 | 0.22 | | plane | 0.21 | 3.23 | | Harbor | 0.0 | 0.0 | +--------------------+------+-------+ 2024-03-24 18:21:48,899 - mmseg - INFO - Summary: 2024-03-24 18:21:48,899 - mmseg - INFO - +------+------+------+ | aAcc | mIoU | mAcc | +------+------+------+ | 2.79 | 0.28 | 4.17 | +------+------+------+ 2024-03-24 18:21:48,900 - mmseg - INFO - Exp name: sctnet-b_seg896x896_8x2_160k_isaid_base_3.24.py 2024-03-24 18:21:48,900 - mmseg - INFO - Iter(val) [11644] aAcc: 0.0279, mIoU: 0.0028, mAcc: 0.0417, IoU.background: 0.0281, IoU.ship: 0.0017, IoU.store_tank: 0.0065, IoU.baseball_diamond: 0.0004, IoU.tennis_court: 0.0004, IoU.basketball_court: 0.0012, IoU.Ground_Track_Field: 0.0006, IoU.Bridge: 0.0003, IoU.Large_Vehicle: 0.0025, IoU.Small_Vehicle: 0.0000, IoU.Helicopter: 0.0000, IoU.Swimming_pool: 0.0000, IoU.Roundabout: 0.0001, IoU.Soccer_ball_field: 0.0003, IoU.plane: 0.0021, IoU.Harbor: 0.0000, Acc.background: 0.0282, Acc.ship: 0.0042, Acc.store_tank: 0.0093, Acc.baseball_diamond: 0.0648, Acc.tennis_court: 0.0017, Acc.basketball_court: 0.2581, Acc.Ground_Track_Field: 0.0016, Acc.Bridge: 0.0802, Acc.Large_Vehicle: 0.0661, Acc.Small_Vehicle: 0.0000, Acc.Helicopter: 0.0000, Acc.Swimming_pool: 0.0003, Acc.Roundabout: 0.1182, Acc.Soccer_ball_field: 0.0022, Acc.plane: 0.0323, Acc.Harbor: 0.0000 2024-03-24 18:21:54,834 - mmseg - INFO - Iter [2050/160000] lr: 3.950e-05, eta: 17:33:41, time: 11.291, data_time: 11.179, memory: 9280, decode.loss_ce: 0.0238, decode.acc_seg: 52.1422, aux_0.loss_ce: 0.0106, aux_0.acc_seg: 52.7226, aux_1.loss_guidance: 20.5567, loss: 20.5912 2024-03-24 18:22:00,551 - mmseg - INFO - Iter [2100/160000] lr: 3.949e-05, eta: 17:15:26, time: 0.114, data_time: 0.006, memory: 9280, decode.loss_ce: 0.0425, decode.acc_seg: 46.2456, aux_0.loss_ce: 0.0195, aux_0.acc_seg: 41.4043, aux_1.loss_guidance: 20.5367, loss: 20.5986 2024-03-24 18:22:06,235 - mmseg - INFO - Iter [2150/160000] lr: 3.948e-05, eta: 16:57:59, time: 0.114, data_time: 0.006, memory: 9280, decode.loss_ce: 0.0504, decode.acc_seg: 50.8766, aux_0.loss_ce: 0.0217, aux_0.acc_seg: 50.1467, aux_1.loss_guidance: 19.9077, loss: 19.9799 2024-03-24 18:22:11,924 - mmseg - INFO - Iter [2200/160000] lr: 3.946e-05, eta: 16:41:20, time: 0.114, data_time: 0.006, memory: 9280, decode.loss_ce: 0.0583, decode.acc_seg: 50.9981, aux_0.loss_ce: 0.0257, aux_0.acc_seg: 52.9934, aux_1.loss_guidance: 20.9707, loss: 21.0547 2024-03-24 18:22:17,576 - mmseg - INFO - Iter [2250/160000] lr: 3.945e-05, eta: 16:25:23, time: 0.113, data_time: 0.006, memory: 9280, decode.loss_ce: 0.0625, decode.acc_seg: 62.8721, aux_0.loss_ce: 0.0259, aux_0.acc_seg: 53.8429, aux_1.loss_guidance: 20.5709, loss: 20.6593 2024-03-24 18:22:23,154 - mmseg - INFO - Iter [2300/160000] lr: 3.944e-05, eta: 16:10:01, time: 0.112, data_time: 0.006, memory: 9280, decode.loss_ce: 0.0288, decode.acc_seg: 53.6284, aux_0.loss_ce: 0.0139, aux_0.acc_seg: 46.3874, aux_1.loss_guidance: 19.3057, loss: 19.3484 2024-03-24 18:22:29,077 - mmseg - INFO - Iter [2350/160000] lr: 3.943e-05, eta: 15:55:42, time: 0.118, data_time: 0.006, memory: 9280, decode.loss_ce: 0.0305, decode.acc_seg: 50.2866, aux_0.loss_ce: 0.0146, aux_0.acc_seg: 41.8780, aux_1.loss_guidance: 18.7892, loss: 18.8342 2024-03-24 18:22:34,782 - mmseg - INFO - Iter [2400/160000] lr: 3.942e-05, eta: 15:41:44, time: 0.114, data_time: 0.006, memory: 9280, decode.loss_ce: 0.0292, decode.acc_seg: 47.8105, aux_0.loss_ce: 0.0125, aux_0.acc_seg: 44.5956, aux_1.loss_guidance: 18.8250, loss: 18.8668 2024-03-24 18:22:40,511 - mmseg - INFO - Iter [2450/160000] lr: 3.940e-05, eta: 15:28:22, time: 0.115, data_time: 0.006, memory: 9280, decode.loss_ce: 0.0579, decode.acc_seg: 56.3248, aux_0.loss_ce: 0.0247, aux_0.acc_seg: 54.4890, aux_1.loss_guidance: 20.6098, loss: 20.6923 2024-03-24 18:22:46,217 - mmseg - INFO - Iter [2500/160000] lr: 3.939e-05, eta: 15:15:30, time: 0.114, data_time: 0.006, memory: 9280, decode.loss_ce: 0.0313, decode.acc_seg: 53.8608, aux_0.loss_ce: 0.0135, aux_0.acc_seg: 48.9912, aux_1.loss_guidance: 19.7798, loss: 19.8246 2024-03-24 18:22:52,206 - mmseg - INFO - Iter [2550/160000] lr: 3.938e-05, eta: 15:03:26, time: 0.120, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0520, decode.acc_seg: 59.4729, aux_0.loss_ce: 0.0227, aux_0.acc_seg: 54.3985, aux_1.loss_guidance: 19.6759, loss: 19.7506 2024-03-24 18:22:58,097 - mmseg - INFO - Iter [2600/160000] lr: 3.937e-05, eta: 14:51:43, time: 0.118, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0293, decode.acc_seg: 49.2841, aux_0.loss_ce: 0.0134, aux_0.acc_seg: 44.6122, aux_1.loss_guidance: 19.1565, loss: 19.1992 2024-03-24 18:23:04,140 - mmseg - INFO - Iter [2650/160000] lr: 3.935e-05, eta: 14:40:35, time: 0.121, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0499, decode.acc_seg: 54.4929, aux_0.loss_ce: 0.0210, aux_0.acc_seg: 48.0806, aux_1.loss_guidance: 21.1326, loss: 21.2036 2024-03-24 18:23:10,125 - mmseg - INFO - Iter [2700/160000] lr: 3.934e-05, eta: 14:29:49, time: 0.120, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0396, decode.acc_seg: 51.9220, aux_0.loss_ce: 0.0183, aux_0.acc_seg: 50.9644, aux_1.loss_guidance: 19.5535, loss: 19.6114 2024-03-24 18:23:15,987 - mmseg - INFO - Iter [2750/160000] lr: 3.933e-05, eta: 14:19:19, time: 0.117, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0258, decode.acc_seg: 56.6334, aux_0.loss_ce: 0.0112, aux_0.acc_seg: 54.3756, aux_1.loss_guidance: 18.7256, loss: 18.7626 2024-03-24 18:23:21,873 - mmseg - INFO - Iter [2800/160000] lr: 3.932e-05, eta: 14:09:13, time: 0.118, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0477, decode.acc_seg: 53.9736, aux_0.loss_ce: 0.0201, aux_0.acc_seg: 53.0604, aux_1.loss_guidance: 19.5937, loss: 19.6615 2024-03-24 18:23:27,981 - mmseg - INFO - Iter [2850/160000] lr: 3.931e-05, eta: 13:59:40, time: 0.122, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0216, decode.acc_seg: 56.4059, aux_0.loss_ce: 0.0102, aux_0.acc_seg: 53.6013, aux_1.loss_guidance: 18.4398, loss: 18.4717 2024-03-24 18:23:34,981 - mmseg - INFO - Iter [2900/160000] lr: 3.929e-05, eta: 13:51:14, time: 0.140, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0244, decode.acc_seg: 61.9632, aux_0.loss_ce: 0.0117, aux_0.acc_seg: 55.1585, aux_1.loss_guidance: 18.2956, loss: 18.3317 2024-03-24 18:23:41,459 - mmseg - INFO - Iter [2950/160000] lr: 3.928e-05, eta: 13:42:38, time: 0.130, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0287, decode.acc_seg: 68.8481, aux_0.loss_ce: 0.0128, aux_0.acc_seg: 64.3327, aux_1.loss_guidance: 18.2043, loss: 18.2458 2024-03-24 18:23:47,897 - mmseg - INFO - Exp name: sctnet-b_seg896x896_8x2_160k_isaid_base_3.24.py 2024-03-24 18:23:47,897 - mmseg - INFO - Iter [3000/160000] lr: 3.927e-05, eta: 13:34:17, time: 0.129, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0320, decode.acc_seg: 51.8934, aux_0.loss_ce: 0.0141, aux_0.acc_seg: 49.0369, aux_1.loss_guidance: 20.2056, loss: 20.2517 2024-03-24 18:23:54,416 - mmseg - INFO - Iter [3050/160000] lr: 3.926e-05, eta: 13:26:16, time: 0.130, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0220, decode.acc_seg: 60.0532, aux_0.loss_ce: 0.0094, aux_0.acc_seg: 57.6999, aux_1.loss_guidance: 17.6912, loss: 17.7226 2024-03-24 18:24:00,890 - mmseg - INFO - Iter [3100/160000] lr: 3.924e-05, eta: 13:18:28, time: 0.129, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0248, decode.acc_seg: 59.0777, aux_0.loss_ce: 0.0115, aux_0.acc_seg: 53.8467, aux_1.loss_guidance: 18.0584, loss: 18.0947 2024-03-24 18:24:07,408 - mmseg - INFO - Iter [3150/160000] lr: 3.923e-05, eta: 13:10:57, time: 0.130, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0270, decode.acc_seg: 52.6880, aux_0.loss_ce: 0.0119, aux_0.acc_seg: 45.1846, aux_1.loss_guidance: 18.9416, loss: 18.9805 2024-03-24 18:24:14,477 - mmseg - INFO - Iter [3200/160000] lr: 3.922e-05, eta: 13:04:07, time: 0.141, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0578, decode.acc_seg: 56.1589, aux_0.loss_ce: 0.0256, aux_0.acc_seg: 52.1042, aux_1.loss_guidance: 19.8350, loss: 19.9184 2024-03-24 18:24:21,864 - mmseg - INFO - Iter [3250/160000] lr: 3.921e-05, eta: 12:57:45, time: 0.148, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0343, decode.acc_seg: 55.1464, aux_0.loss_ce: 0.0151, aux_0.acc_seg: 52.9525, aux_1.loss_guidance: 18.7912, loss: 18.8406 2024-03-24 18:24:29,224 - mmseg - INFO - Iter [3300/160000] lr: 3.920e-05, eta: 12:51:33, time: 0.147, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0335, decode.acc_seg: 54.6047, aux_0.loss_ce: 0.0147, aux_0.acc_seg: 50.6741, aux_1.loss_guidance: 18.3846, loss: 18.4328 2024-03-24 18:24:36,385 - mmseg - INFO - Iter [3350/160000] lr: 3.918e-05, eta: 12:45:22, time: 0.143, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0389, decode.acc_seg: 61.4783, aux_0.loss_ce: 0.0174, aux_0.acc_seg: 58.5804, aux_1.loss_guidance: 18.9124, loss: 18.9687 2024-03-24 18:24:43,628 - mmseg - INFO - Iter [3400/160000] lr: 3.917e-05, eta: 12:39:26, time: 0.145, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0288, decode.acc_seg: 62.0359, aux_0.loss_ce: 0.0125, aux_0.acc_seg: 57.8815, aux_1.loss_guidance: 18.2608, loss: 18.3020 2024-03-24 18:24:50,553 - mmseg - INFO - Iter [3450/160000] lr: 3.916e-05, eta: 12:33:25, time: 0.139, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0582, decode.acc_seg: 54.5936, aux_0.loss_ce: 0.0247, aux_0.acc_seg: 48.2692, aux_1.loss_guidance: 18.0788, loss: 18.1617 2024-03-24 18:24:57,543 - mmseg - INFO - Iter [3500/160000] lr: 3.915e-05, eta: 12:27:38, time: 0.140, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0335, decode.acc_seg: 61.5859, aux_0.loss_ce: 0.0153, aux_0.acc_seg: 54.3555, aux_1.loss_guidance: 18.1521, loss: 18.2009 2024-03-24 18:25:04,925 - mmseg - INFO - Iter [3550/160000] lr: 3.913e-05, eta: 12:22:17, time: 0.148, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0587, decode.acc_seg: 58.2826, aux_0.loss_ce: 0.0238, aux_0.acc_seg: 53.0804, aux_1.loss_guidance: 17.8952, loss: 17.9777 2024-03-24 18:25:12,279 - mmseg - INFO - Iter [3600/160000] lr: 3.912e-05, eta: 12:17:04, time: 0.147, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0525, decode.acc_seg: 51.5205, aux_0.loss_ce: 0.0215, aux_0.acc_seg: 48.3571, aux_1.loss_guidance: 18.5361, loss: 18.6100 2024-03-24 18:25:19,809 - mmseg - INFO - Iter [3650/160000] lr: 3.911e-05, eta: 12:12:07, time: 0.151, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0233, decode.acc_seg: 53.9927, aux_0.loss_ce: 0.0109, aux_0.acc_seg: 49.6639, aux_1.loss_guidance: 17.3238, loss: 17.3580 2024-03-24 18:25:26,693 - mmseg - INFO - Iter [3700/160000] lr: 3.910e-05, eta: 12:06:50, time: 0.138, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0227, decode.acc_seg: 56.0778, aux_0.loss_ce: 0.0099, aux_0.acc_seg: 51.1391, aux_1.loss_guidance: 18.8895, loss: 18.9222 2024-03-24 18:25:33,891 - mmseg - INFO - Iter [3750/160000] lr: 3.909e-05, eta: 12:01:55, time: 0.144, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0341, decode.acc_seg: 62.0695, aux_0.loss_ce: 0.0161, aux_0.acc_seg: 56.8488, aux_1.loss_guidance: 18.4716, loss: 18.5218 2024-03-24 18:25:40,999 - mmseg - INFO - Iter [3800/160000] lr: 3.907e-05, eta: 11:57:03, time: 0.142, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0596, decode.acc_seg: 55.3892, aux_0.loss_ce: 0.0261, aux_0.acc_seg: 52.6834, aux_1.loss_guidance: 18.8671, loss: 18.9527 2024-03-24 18:25:48,201 - mmseg - INFO - Iter [3850/160000] lr: 3.906e-05, eta: 11:52:23, time: 0.144, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0633, decode.acc_seg: 61.3315, aux_0.loss_ce: 0.0275, aux_0.acc_seg: 56.5349, aux_1.loss_guidance: 19.3124, loss: 19.4033 2024-03-24 18:25:55,352 - mmseg - INFO - Iter [3900/160000] lr: 3.905e-05, eta: 11:47:48, time: 0.143, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0533, decode.acc_seg: 56.0623, aux_0.loss_ce: 0.0238, aux_0.acc_seg: 50.4073, aux_1.loss_guidance: 18.8776, loss: 18.9547 2024-03-24 18:26:02,588 - mmseg - INFO - Iter [3950/160000] lr: 3.904e-05, eta: 11:43:23, time: 0.145, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0293, decode.acc_seg: 60.1212, aux_0.loss_ce: 0.0137, aux_0.acc_seg: 54.9079, aux_1.loss_guidance: 17.8197, loss: 17.8626 2024-03-24 18:26:09,594 - mmseg - INFO - Saving checkpoint at 4000 iterations 2024-03-24 18:26:10,916 - mmseg - INFO - Exp name: sctnet-b_seg896x896_8x2_160k_isaid_base_3.24.py 2024-03-24 18:26:10,916 - mmseg - INFO - Iter [4000/160000] lr: 3.903e-05, eta: 11:39:46, time: 0.167, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0285, decode.acc_seg: 50.0900, aux_0.loss_ce: 0.0129, aux_0.acc_seg: 48.3683, aux_1.loss_guidance: 18.0974, loss: 18.1388 2024-03-24 18:36:06,612 - mmseg - INFO - per class results: 2024-03-24 18:36:06,614 - mmseg - INFO - +--------------------+------+-------+ | Class | IoU | Acc | +--------------------+------+-------+ | background | 4.59 | 4.61 | | ship | 1.26 | 6.05 | | store_tank | 0.13 | 0.93 | | baseball_diamond | 0.12 | 6.65 | | tennis_court | 0.01 | 0.11 | | basketball_court | 0.04 | 33.64 | | Ground_Track_Field | 0.07 | 0.43 | | Bridge | 0.03 | 3.67 | | Large_Vehicle | 0.4 | 6.93 | | Small_Vehicle | 0.0 | 0.0 | | Helicopter | 0.0 | 0.0 | | Swimming_pool | 0.02 | 1.92 | | Roundabout | 0.0 | 1.31 | | Soccer_ball_field | 0.06 | 0.61 | | plane | 0.05 | 0.56 | | Harbor | 0.0 | 0.0 | +--------------------+------+-------+ 2024-03-24 18:36:06,614 - mmseg - INFO - Summary: 2024-03-24 18:36:06,614 - mmseg - INFO - +------+------+------+ | aAcc | mIoU | mAcc | +------+------+------+ | 4.54 | 0.42 | 4.21 | +------+------+------+ 2024-03-24 18:36:06,615 - mmseg - INFO - Exp name: sctnet-b_seg896x896_8x2_160k_isaid_base_3.24.py 2024-03-24 18:36:06,615 - mmseg - INFO - Iter(val) [11644] aAcc: 0.0454, mIoU: 0.0042, mAcc: 0.0421, IoU.background: 0.0459, IoU.ship: 0.0126, IoU.store_tank: 0.0013, IoU.baseball_diamond: 0.0012, IoU.tennis_court: 0.0001, IoU.basketball_court: 0.0004, IoU.Ground_Track_Field: 0.0007, IoU.Bridge: 0.0003, IoU.Large_Vehicle: 0.0040, IoU.Small_Vehicle: 0.0000, IoU.Helicopter: 0.0000, IoU.Swimming_pool: 0.0002, IoU.Roundabout: 0.0000, IoU.Soccer_ball_field: 0.0006, IoU.plane: 0.0005, IoU.Harbor: 0.0000, Acc.background: 0.0461, Acc.ship: 0.0605, Acc.store_tank: 0.0093, Acc.baseball_diamond: 0.0665, Acc.tennis_court: 0.0011, Acc.basketball_court: 0.3364, Acc.Ground_Track_Field: 0.0043, Acc.Bridge: 0.0367, Acc.Large_Vehicle: 0.0693, Acc.Small_Vehicle: 0.0000, Acc.Helicopter: 0.0000, Acc.Swimming_pool: 0.0192, Acc.Roundabout: 0.0131, Acc.Soccer_ball_field: 0.0061, Acc.plane: 0.0056, Acc.Harbor: 0.0000 2024-03-24 18:36:31,357 - mmseg - INFO - Iter [4050/160000] lr: 3.901e-05, eta: 18:09:06, time: 12.409, data_time: 12.295, memory: 9280, decode.loss_ce: 0.0467, decode.acc_seg: 62.2219, aux_0.loss_ce: 0.0224, aux_0.acc_seg: 55.3350, aux_1.loss_guidance: 18.6752, loss: 18.7443 2024-03-24 18:36:59,479 - mmseg - INFO - Iter [4100/160000] lr: 3.900e-05, eta: 18:13:17, time: 0.562, data_time: 0.446, memory: 9280, decode.loss_ce: 0.0441, decode.acc_seg: 59.9143, aux_0.loss_ce: 0.0195, aux_0.acc_seg: 55.9270, aux_1.loss_guidance: 18.1449, loss: 18.2084 2024-03-24 18:37:37,051 - mmseg - INFO - Iter [4150/160000] lr: 3.899e-05, eta: 18:23:17, time: 0.751, data_time: 0.638, memory: 9280, decode.loss_ce: 0.0412, decode.acc_seg: 58.2335, aux_0.loss_ce: 0.0178, aux_0.acc_seg: 53.4528, aux_1.loss_guidance: 18.3490, loss: 18.4081 2024-03-24 18:38:13,653 - mmseg - INFO - Iter [4200/160000] lr: 3.898e-05, eta: 18:32:26, time: 0.732, data_time: 0.619, memory: 9280, decode.loss_ce: 0.0542, decode.acc_seg: 54.2812, aux_0.loss_ce: 0.0217, aux_0.acc_seg: 47.9953, aux_1.loss_guidance: 17.3671, loss: 17.4430 2024-03-24 18:38:41,638 - mmseg - INFO - Iter [4250/160000] lr: 3.896e-05, eta: 18:36:05, time: 0.560, data_time: 0.444, memory: 9280, decode.loss_ce: 0.0236, decode.acc_seg: 66.6376, aux_0.loss_ce: 0.0115, aux_0.acc_seg: 60.3284, aux_1.loss_guidance: 17.8349, loss: 17.8700 2024-03-24 18:39:13,525 - mmseg - INFO - Iter [4300/160000] lr: 3.895e-05, eta: 18:41:59, time: 0.638, data_time: 0.523, memory: 9280, decode.loss_ce: 0.0495, decode.acc_seg: 57.9874, aux_0.loss_ce: 0.0224, aux_0.acc_seg: 54.3727, aux_1.loss_guidance: 18.4594, loss: 18.5314 2024-03-24 18:39:31,070 - mmseg - INFO - Iter [4350/160000] lr: 3.894e-05, eta: 18:39:12, time: 0.351, data_time: 0.233, memory: 9280, decode.loss_ce: 0.0337, decode.acc_seg: 55.5874, aux_0.loss_ce: 0.0152, aux_0.acc_seg: 51.0800, aux_1.loss_guidance: 17.7499, loss: 17.7988 2024-03-24 18:39:52,666 - mmseg - INFO - Iter [4400/160000] lr: 3.893e-05, eta: 18:38:51, time: 0.432, data_time: 0.312, memory: 9280, decode.loss_ce: 0.0254, decode.acc_seg: 59.2193, aux_0.loss_ce: 0.0122, aux_0.acc_seg: 53.5224, aux_1.loss_guidance: 17.0435, loss: 17.0810 2024-03-24 18:39:59,757 - mmseg - INFO - Iter [4450/160000] lr: 3.892e-05, eta: 18:30:03, time: 0.142, data_time: 0.016, memory: 9280, decode.loss_ce: 0.0252, decode.acc_seg: 70.6573, aux_0.loss_ce: 0.0110, aux_0.acc_seg: 67.8815, aux_1.loss_guidance: 17.8454, loss: 17.8816 2024-03-24 18:40:06,365 - mmseg - INFO - Iter [4500/160000] lr: 3.890e-05, eta: 18:21:11, time: 0.132, data_time: 0.012, memory: 9280, decode.loss_ce: 0.0388, decode.acc_seg: 67.8256, aux_0.loss_ce: 0.0170, aux_0.acc_seg: 61.1608, aux_1.loss_guidance: 17.5883, loss: 17.6441 2024-03-24 18:40:12,495 - mmseg - INFO - Iter [4550/160000] lr: 3.889e-05, eta: 18:12:13, time: 0.123, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0421, decode.acc_seg: 54.9004, aux_0.loss_ce: 0.0172, aux_0.acc_seg: 52.1253, aux_1.loss_guidance: 16.9487, loss: 17.0080 2024-03-24 18:40:18,774 - mmseg - INFO - Iter [4600/160000] lr: 3.888e-05, eta: 18:03:32, time: 0.126, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0390, decode.acc_seg: 65.3741, aux_0.loss_ce: 0.0178, aux_0.acc_seg: 61.3868, aux_1.loss_guidance: 17.9930, loss: 18.0498 2024-03-24 18:40:25,038 - mmseg - INFO - Iter [4650/160000] lr: 3.887e-05, eta: 17:55:01, time: 0.125, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0253, decode.acc_seg: 62.2312, aux_0.loss_ce: 0.0125, aux_0.acc_seg: 55.4916, aux_1.loss_guidance: 17.6735, loss: 17.7112 2024-03-24 18:40:31,068 - mmseg - INFO - Iter [4700/160000] lr: 3.885e-05, eta: 17:46:34, time: 0.121, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0252, decode.acc_seg: 68.5041, aux_0.loss_ce: 0.0117, aux_0.acc_seg: 64.9995, aux_1.loss_guidance: 17.8361, loss: 17.8729 2024-03-24 18:40:37,221 - mmseg - INFO - Iter [4750/160000] lr: 3.884e-05, eta: 17:38:21, time: 0.123, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0477, decode.acc_seg: 53.9543, aux_0.loss_ce: 0.0198, aux_0.acc_seg: 54.0792, aux_1.loss_guidance: 17.8517, loss: 17.9191 2024-03-24 18:40:43,366 - mmseg - INFO - Iter [4800/160000] lr: 3.883e-05, eta: 17:30:18, time: 0.123, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0614, decode.acc_seg: 58.3318, aux_0.loss_ce: 0.0256, aux_0.acc_seg: 53.7876, aux_1.loss_guidance: 17.9939, loss: 18.0809 2024-03-24 18:40:49,371 - mmseg - INFO - Iter [4850/160000] lr: 3.882e-05, eta: 17:22:20, time: 0.120, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0429, decode.acc_seg: 59.7736, aux_0.loss_ce: 0.0185, aux_0.acc_seg: 56.1618, aux_1.loss_guidance: 16.9928, loss: 17.0542 2024-03-24 18:40:55,575 - mmseg - INFO - Iter [4900/160000] lr: 3.881e-05, eta: 17:14:38, time: 0.124, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0269, decode.acc_seg: 66.4539, aux_0.loss_ce: 0.0131, aux_0.acc_seg: 61.3591, aux_1.loss_guidance: 16.9290, loss: 16.9690 2024-03-24 18:41:01,664 - mmseg - INFO - Iter [4950/160000] lr: 3.879e-05, eta: 17:07:02, time: 0.122, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0231, decode.acc_seg: 52.3203, aux_0.loss_ce: 0.0103, aux_0.acc_seg: 51.5163, aux_1.loss_guidance: 16.2887, loss: 16.3221 2024-03-24 18:41:07,901 - mmseg - INFO - Exp name: sctnet-b_seg896x896_8x2_160k_isaid_base_3.24.py 2024-03-24 18:41:07,902 - mmseg - INFO - Iter [5000/160000] lr: 3.878e-05, eta: 16:59:40, time: 0.125, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0247, decode.acc_seg: 57.2588, aux_0.loss_ce: 0.0114, aux_0.acc_seg: 51.4696, aux_1.loss_guidance: 16.8979, loss: 16.9340 2024-03-24 18:41:13,956 - mmseg - INFO - Iter [5050/160000] lr: 3.877e-05, eta: 16:52:20, time: 0.121, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0195, decode.acc_seg: 65.2407, aux_0.loss_ce: 0.0098, aux_0.acc_seg: 60.1838, aux_1.loss_guidance: 16.5463, loss: 16.5756 2024-03-24 18:41:20,101 - mmseg - INFO - Iter [5100/160000] lr: 3.876e-05, eta: 16:45:12, time: 0.123, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0335, decode.acc_seg: 64.2453, aux_0.loss_ce: 0.0166, aux_0.acc_seg: 53.2587, aux_1.loss_guidance: 16.9972, loss: 17.0473 2024-03-24 18:41:27,001 - mmseg - INFO - Iter [5150/160000] lr: 3.874e-05, eta: 16:38:35, time: 0.138, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0338, decode.acc_seg: 63.2851, aux_0.loss_ce: 0.0138, aux_0.acc_seg: 56.9981, aux_1.loss_guidance: 16.6774, loss: 16.7251 2024-03-24 18:41:35,071 - mmseg - INFO - Iter [5200/160000] lr: 3.873e-05, eta: 16:32:39, time: 0.161, data_time: 0.011, memory: 9280, decode.loss_ce: 0.0234, decode.acc_seg: 64.2433, aux_0.loss_ce: 0.0102, aux_0.acc_seg: 55.9019, aux_1.loss_guidance: 16.8523, loss: 16.8859 2024-03-24 18:41:42,633 - mmseg - INFO - Iter [5250/160000] lr: 3.872e-05, eta: 16:26:36, time: 0.151, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0361, decode.acc_seg: 61.6490, aux_0.loss_ce: 0.0165, aux_0.acc_seg: 53.5661, aux_1.loss_guidance: 16.3516, loss: 16.4041 2024-03-24 18:41:49,704 - mmseg - INFO - Iter [5300/160000] lr: 3.871e-05, eta: 16:20:25, time: 0.141, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0254, decode.acc_seg: 58.1566, aux_0.loss_ce: 0.0130, aux_0.acc_seg: 51.6992, aux_1.loss_guidance: 16.9294, loss: 16.9677 2024-03-24 18:41:56,698 - mmseg - INFO - Iter [5350/160000] lr: 3.870e-05, eta: 16:14:19, time: 0.140, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0190, decode.acc_seg: 61.4275, aux_0.loss_ce: 0.0091, aux_0.acc_seg: 51.8301, aux_1.loss_guidance: 16.7212, loss: 16.7493 2024-03-24 18:42:04,189 - mmseg - INFO - Iter [5400/160000] lr: 3.868e-05, eta: 16:08:33, time: 0.150, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0375, decode.acc_seg: 67.0008, aux_0.loss_ce: 0.0189, aux_0.acc_seg: 60.2093, aux_1.loss_guidance: 17.4402, loss: 17.4966 2024-03-24 18:42:11,998 - mmseg - INFO - Iter [5450/160000] lr: 3.867e-05, eta: 16:03:03, time: 0.156, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0399, decode.acc_seg: 61.0302, aux_0.loss_ce: 0.0175, aux_0.acc_seg: 55.9731, aux_1.loss_guidance: 17.2786, loss: 17.3360 2024-03-24 18:42:19,121 - mmseg - INFO - Iter [5500/160000] lr: 3.866e-05, eta: 15:57:19, time: 0.142, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0239, decode.acc_seg: 58.4690, aux_0.loss_ce: 0.0107, aux_0.acc_seg: 53.1969, aux_1.loss_guidance: 16.1394, loss: 16.1740 2024-03-24 18:42:26,166 - mmseg - INFO - Iter [5550/160000] lr: 3.865e-05, eta: 15:51:39, time: 0.141, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0188, decode.acc_seg: 65.9030, aux_0.loss_ce: 0.0097, aux_0.acc_seg: 60.1157, aux_1.loss_guidance: 16.0668, loss: 16.0952 2024-03-24 18:42:33,216 - mmseg - INFO - Iter [5600/160000] lr: 3.864e-05, eta: 15:46:05, time: 0.141, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0355, decode.acc_seg: 59.6728, aux_0.loss_ce: 0.0146, aux_0.acc_seg: 55.1137, aux_1.loss_guidance: 15.9802, loss: 16.0303 2024-03-24 18:42:41,151 - mmseg - INFO - Iter [5650/160000] lr: 3.862e-05, eta: 15:41:01, time: 0.159, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0298, decode.acc_seg: 57.6953, aux_0.loss_ce: 0.0124, aux_0.acc_seg: 51.8539, aux_1.loss_guidance: 16.8050, loss: 16.8472 2024-03-24 18:42:50,001 - mmseg - INFO - Iter [5700/160000] lr: 3.861e-05, eta: 15:36:28, time: 0.177, data_time: 0.011, memory: 9280, decode.loss_ce: 0.0359, decode.acc_seg: 57.6264, aux_0.loss_ce: 0.0169, aux_0.acc_seg: 53.3672, aux_1.loss_guidance: 17.4159, loss: 17.4687 2024-03-24 18:42:58,973 - mmseg - INFO - Iter [5750/160000] lr: 3.860e-05, eta: 15:32:02, time: 0.179, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0243, decode.acc_seg: 52.0078, aux_0.loss_ce: 0.0108, aux_0.acc_seg: 44.6580, aux_1.loss_guidance: 16.5342, loss: 16.5693 2024-03-24 18:43:07,431 - mmseg - INFO - Iter [5800/160000] lr: 3.859e-05, eta: 15:27:26, time: 0.169, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0465, decode.acc_seg: 65.8744, aux_0.loss_ce: 0.0218, aux_0.acc_seg: 59.3051, aux_1.loss_guidance: 17.6612, loss: 17.7295 2024-03-24 18:43:15,724 - mmseg - INFO - Iter [5850/160000] lr: 3.857e-05, eta: 15:22:51, time: 0.166, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0348, decode.acc_seg: 65.8098, aux_0.loss_ce: 0.0162, aux_0.acc_seg: 58.4526, aux_1.loss_guidance: 17.4131, loss: 17.4640 2024-03-24 18:43:24,213 - mmseg - INFO - Iter [5900/160000] lr: 3.856e-05, eta: 15:18:26, time: 0.170, data_time: 0.011, memory: 9280, decode.loss_ce: 0.0152, decode.acc_seg: 69.1084, aux_0.loss_ce: 0.0081, aux_0.acc_seg: 63.0565, aux_1.loss_guidance: 16.6516, loss: 16.6748 2024-03-24 18:43:31,842 - mmseg - INFO - Iter [5950/160000] lr: 3.855e-05, eta: 15:13:43, time: 0.153, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0276, decode.acc_seg: 62.9332, aux_0.loss_ce: 0.0136, aux_0.acc_seg: 54.9638, aux_1.loss_guidance: 17.3470, loss: 17.3882 2024-03-24 18:43:39,834 - mmseg - INFO - Saving checkpoint at 6000 iterations 2024-03-24 18:43:41,670 - mmseg - INFO - Exp name: sctnet-b_seg896x896_8x2_160k_isaid_base_3.24.py 2024-03-24 18:43:41,670 - mmseg - INFO - Iter [6000/160000] lr: 3.854e-05, eta: 15:10:00, time: 0.197, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0228, decode.acc_seg: 65.8424, aux_0.loss_ce: 0.0113, aux_0.acc_seg: 62.0294, aux_1.loss_guidance: 16.1067, loss: 16.1408 2024-03-24 18:53:23,839 - mmseg - INFO - per class results: 2024-03-24 18:53:23,840 - mmseg - INFO - +--------------------+------+-------+ | Class | IoU | Acc | +--------------------+------+-------+ | background | 1.82 | 1.83 | | ship | 0.14 | 0.3 | | store_tank | 0.41 | 1.16 | | baseball_diamond | 0.07 | 5.68 | | tennis_court | 0.0 | 0.02 | | basketball_court | 0.11 | 39.35 | | Ground_Track_Field | 0.03 | 0.36 | | Bridge | 0.03 | 7.65 | | Large_Vehicle | 0.22 | 4.67 | | Small_Vehicle | 0.0 | 0.0 | | Helicopter | 0.0 | 0.0 | | Swimming_pool | 0.01 | 0.06 | | Roundabout | 0.0 | 4.38 | | Soccer_ball_field | 0.01 | 0.1 | | plane | 0.17 | 1.63 | | Harbor | 0.0 | 0.0 | +--------------------+------+-------+ 2024-03-24 18:53:23,840 - mmseg - INFO - Summary: 2024-03-24 18:53:23,840 - mmseg - INFO - +------+------+------+ | aAcc | mIoU | mAcc | +------+------+------+ | 1.83 | 0.19 | 4.2 | +------+------+------+ 2024-03-24 18:53:23,841 - mmseg - INFO - Exp name: sctnet-b_seg896x896_8x2_160k_isaid_base_3.24.py 2024-03-24 18:53:23,841 - mmseg - INFO - Iter(val) [11644] aAcc: 0.0183, mIoU: 0.0019, mAcc: 0.0420, IoU.background: 0.0182, IoU.ship: 0.0014, IoU.store_tank: 0.0041, IoU.baseball_diamond: 0.0007, IoU.tennis_court: 0.0000, IoU.basketball_court: 0.0011, IoU.Ground_Track_Field: 0.0003, IoU.Bridge: 0.0003, IoU.Large_Vehicle: 0.0022, IoU.Small_Vehicle: 0.0000, IoU.Helicopter: 0.0000, IoU.Swimming_pool: 0.0001, IoU.Roundabout: 0.0000, IoU.Soccer_ball_field: 0.0001, IoU.plane: 0.0017, IoU.Harbor: 0.0000, Acc.background: 0.0183, Acc.ship: 0.0030, Acc.store_tank: 0.0116, Acc.baseball_diamond: 0.0568, Acc.tennis_court: 0.0002, Acc.basketball_court: 0.3935, Acc.Ground_Track_Field: 0.0036, Acc.Bridge: 0.0765, Acc.Large_Vehicle: 0.0467, Acc.Small_Vehicle: 0.0000, Acc.Helicopter: 0.0000, Acc.Swimming_pool: 0.0006, Acc.Roundabout: 0.0438, Acc.Soccer_ball_field: 0.0010, Acc.plane: 0.0163, Acc.Harbor: 0.0000 2024-03-24 18:53:30,433 - mmseg - INFO - Iter [6050/160000] lr: 3.853e-05, eta: 19:11:53, time: 11.775, data_time: 11.656, memory: 9280, decode.loss_ce: 0.0313, decode.acc_seg: 64.9461, aux_0.loss_ce: 0.0146, aux_0.acc_seg: 54.0002, aux_1.loss_guidance: 16.9422, loss: 16.9880 2024-03-24 18:53:36,632 - mmseg - INFO - Iter [6100/160000] lr: 3.851e-05, eta: 19:04:41, time: 0.124, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0349, decode.acc_seg: 66.4424, aux_0.loss_ce: 0.0177, aux_0.acc_seg: 57.9769, aux_1.loss_guidance: 17.9911, loss: 18.0436 2024-03-24 18:53:42,868 - mmseg - INFO - Iter [6150/160000] lr: 3.850e-05, eta: 18:57:36, time: 0.125, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0326, decode.acc_seg: 62.7717, aux_0.loss_ce: 0.0150, aux_0.acc_seg: 59.1248, aux_1.loss_guidance: 16.8377, loss: 16.8853 2024-03-24 18:53:49,108 - mmseg - INFO - Iter [6200/160000] lr: 3.849e-05, eta: 18:50:39, time: 0.125, data_time: 0.012, memory: 9280, decode.loss_ce: 0.0356, decode.acc_seg: 62.9944, aux_0.loss_ce: 0.0154, aux_0.acc_seg: 55.0948, aux_1.loss_guidance: 16.3619, loss: 16.4128 2024-03-24 18:53:55,247 - mmseg - INFO - Iter [6250/160000] lr: 3.848e-05, eta: 18:43:45, time: 0.123, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0245, decode.acc_seg: 58.7740, aux_0.loss_ce: 0.0117, aux_0.acc_seg: 54.2275, aux_1.loss_guidance: 16.1510, loss: 16.1873 2024-03-24 18:54:01,667 - mmseg - INFO - Iter [6300/160000] lr: 3.846e-05, eta: 18:37:05, time: 0.128, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0252, decode.acc_seg: 62.0735, aux_0.loss_ce: 0.0112, aux_0.acc_seg: 56.4676, aux_1.loss_guidance: 14.9787, loss: 15.0151 2024-03-24 18:54:08,064 - mmseg - INFO - Iter [6350/160000] lr: 3.845e-05, eta: 18:30:30, time: 0.128, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0473, decode.acc_seg: 55.0053, aux_0.loss_ce: 0.0220, aux_0.acc_seg: 54.8209, aux_1.loss_guidance: 17.0266, loss: 17.0960 2024-03-24 18:54:14,266 - mmseg - INFO - Iter [6400/160000] lr: 3.844e-05, eta: 18:23:57, time: 0.124, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0352, decode.acc_seg: 49.4949, aux_0.loss_ce: 0.0155, aux_0.acc_seg: 46.7715, aux_1.loss_guidance: 16.1207, loss: 16.1714 2024-03-24 18:54:20,390 - mmseg - INFO - Iter [6450/160000] lr: 3.843e-05, eta: 18:17:28, time: 0.122, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0201, decode.acc_seg: 70.6587, aux_0.loss_ce: 0.0097, aux_0.acc_seg: 65.1985, aux_1.loss_guidance: 16.5868, loss: 16.6165 2024-03-24 18:54:26,448 - mmseg - INFO - Iter [6500/160000] lr: 3.842e-05, eta: 18:11:03, time: 0.121, data_time: 0.015, memory: 9280, decode.loss_ce: 0.0379, decode.acc_seg: 62.2993, aux_0.loss_ce: 0.0188, aux_0.acc_seg: 54.4804, aux_1.loss_guidance: 16.5549, loss: 16.6115 2024-03-24 18:54:32,459 - mmseg - INFO - Iter [6550/160000] lr: 3.840e-05, eta: 18:04:43, time: 0.120, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0303, decode.acc_seg: 60.8064, aux_0.loss_ce: 0.0147, aux_0.acc_seg: 55.1622, aux_1.loss_guidance: 16.3782, loss: 16.4232 2024-03-24 18:54:38,971 - mmseg - INFO - Iter [6600/160000] lr: 3.839e-05, eta: 17:58:40, time: 0.130, data_time: 0.013, memory: 9280, decode.loss_ce: 0.0236, decode.acc_seg: 67.1937, aux_0.loss_ce: 0.0116, aux_0.acc_seg: 60.8695, aux_1.loss_guidance: 16.7384, loss: 16.7736 2024-03-24 18:54:45,332 - mmseg - INFO - Iter [6650/160000] lr: 3.838e-05, eta: 17:52:39, time: 0.127, data_time: 0.013, memory: 9280, decode.loss_ce: 0.0294, decode.acc_seg: 68.1931, aux_0.loss_ce: 0.0140, aux_0.acc_seg: 57.4499, aux_1.loss_guidance: 16.3615, loss: 16.4049 2024-03-24 18:54:51,732 - mmseg - INFO - Iter [6700/160000] lr: 3.837e-05, eta: 17:46:45, time: 0.128, data_time: 0.013, memory: 9280, decode.loss_ce: 0.0428, decode.acc_seg: 61.0692, aux_0.loss_ce: 0.0209, aux_0.acc_seg: 55.4558, aux_1.loss_guidance: 17.1871, loss: 17.2508 2024-03-24 18:54:58,085 - mmseg - INFO - Iter [6750/160000] lr: 3.835e-05, eta: 17:40:54, time: 0.127, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0309, decode.acc_seg: 55.9392, aux_0.loss_ce: 0.0129, aux_0.acc_seg: 51.3363, aux_1.loss_guidance: 16.3165, loss: 16.3603 2024-03-24 18:55:04,517 - mmseg - INFO - Iter [6800/160000] lr: 3.834e-05, eta: 17:35:10, time: 0.129, data_time: 0.012, memory: 9280, decode.loss_ce: 0.0298, decode.acc_seg: 61.1608, aux_0.loss_ce: 0.0128, aux_0.acc_seg: 58.1290, aux_1.loss_guidance: 15.5995, loss: 15.6420 2024-03-24 18:55:10,982 - mmseg - INFO - Iter [6850/160000] lr: 3.833e-05, eta: 17:29:32, time: 0.129, data_time: 0.013, memory: 9280, decode.loss_ce: 0.0200, decode.acc_seg: 69.1876, aux_0.loss_ce: 0.0091, aux_0.acc_seg: 59.6674, aux_1.loss_guidance: 15.3054, loss: 15.3345 2024-03-24 18:55:17,169 - mmseg - INFO - Iter [6900/160000] lr: 3.832e-05, eta: 17:23:53, time: 0.124, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0207, decode.acc_seg: 63.6277, aux_0.loss_ce: 0.0096, aux_0.acc_seg: 57.7527, aux_1.loss_guidance: 15.6589, loss: 15.6892 2024-03-24 18:55:23,198 - mmseg - INFO - Iter [6950/160000] lr: 3.831e-05, eta: 17:18:15, time: 0.121, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0358, decode.acc_seg: 67.4305, aux_0.loss_ce: 0.0148, aux_0.acc_seg: 62.7895, aux_1.loss_guidance: 15.5605, loss: 15.6110 2024-03-24 18:55:29,725 - mmseg - INFO - Exp name: sctnet-b_seg896x896_8x2_160k_isaid_base_3.24.py 2024-03-24 18:55:29,725 - mmseg - INFO - Iter [7000/160000] lr: 3.829e-05, eta: 17:12:52, time: 0.131, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0238, decode.acc_seg: 73.6434, aux_0.loss_ce: 0.0113, aux_0.acc_seg: 64.4020, aux_1.loss_guidance: 15.9743, loss: 16.0094 2024-03-24 18:55:36,884 - mmseg - INFO - Iter [7050/160000] lr: 3.828e-05, eta: 17:07:48, time: 0.143, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0253, decode.acc_seg: 61.9211, aux_0.loss_ce: 0.0124, aux_0.acc_seg: 56.2116, aux_1.loss_guidance: 15.7715, loss: 15.8092 2024-03-24 18:55:45,263 - mmseg - INFO - Iter [7100/160000] lr: 3.827e-05, eta: 17:03:14, time: 0.168, data_time: 0.011, memory: 9280, decode.loss_ce: 0.0236, decode.acc_seg: 66.5758, aux_0.loss_ce: 0.0116, aux_0.acc_seg: 61.0881, aux_1.loss_guidance: 16.4658, loss: 16.5010 2024-03-24 18:55:52,226 - mmseg - INFO - Iter [7150/160000] lr: 3.826e-05, eta: 16:58:13, time: 0.139, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0349, decode.acc_seg: 75.2106, aux_0.loss_ce: 0.0159, aux_0.acc_seg: 66.9517, aux_1.loss_guidance: 17.1086, loss: 17.1594 2024-03-24 18:55:58,534 - mmseg - INFO - Iter [7200/160000] lr: 3.825e-05, eta: 16:53:03, time: 0.126, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0179, decode.acc_seg: 69.4107, aux_0.loss_ce: 0.0084, aux_0.acc_seg: 59.0112, aux_1.loss_guidance: 15.2295, loss: 15.2557 2024-03-24 18:56:05,344 - mmseg - INFO - Iter [7250/160000] lr: 3.823e-05, eta: 16:48:08, time: 0.136, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0198, decode.acc_seg: 64.9685, aux_0.loss_ce: 0.0093, aux_0.acc_seg: 59.1063, aux_1.loss_guidance: 15.0149, loss: 15.0441 2024-03-24 18:56:12,722 - mmseg - INFO - Iter [7300/160000] lr: 3.822e-05, eta: 16:43:28, time: 0.148, data_time: 0.022, memory: 9280, decode.loss_ce: 0.0263, decode.acc_seg: 60.7302, aux_0.loss_ce: 0.0125, aux_0.acc_seg: 57.2364, aux_1.loss_guidance: 14.9046, loss: 14.9434 2024-03-24 18:56:19,074 - mmseg - INFO - Iter [7350/160000] lr: 3.821e-05, eta: 16:38:31, time: 0.127, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0344, decode.acc_seg: 64.6617, aux_0.loss_ce: 0.0157, aux_0.acc_seg: 57.2273, aux_1.loss_guidance: 16.0672, loss: 16.1173 2024-03-24 18:56:25,508 - mmseg - INFO - Iter [7400/160000] lr: 3.820e-05, eta: 16:33:39, time: 0.129, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0250, decode.acc_seg: 64.7295, aux_0.loss_ce: 0.0119, aux_0.acc_seg: 58.6760, aux_1.loss_guidance: 15.3430, loss: 15.3798 2024-03-24 18:56:32,185 - mmseg - INFO - Iter [7450/160000] lr: 3.818e-05, eta: 16:28:56, time: 0.134, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0245, decode.acc_seg: 60.3869, aux_0.loss_ce: 0.0115, aux_0.acc_seg: 52.3955, aux_1.loss_guidance: 15.9689, loss: 16.0050 2024-03-24 18:56:39,023 - mmseg - INFO - Iter [7500/160000] lr: 3.817e-05, eta: 16:24:20, time: 0.137, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0288, decode.acc_seg: 62.3284, aux_0.loss_ce: 0.0138, aux_0.acc_seg: 55.6267, aux_1.loss_guidance: 16.6087, loss: 16.6513 2024-03-24 18:56:45,605 - mmseg - INFO - Iter [7550/160000] lr: 3.816e-05, eta: 16:19:43, time: 0.132, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0261, decode.acc_seg: 57.9595, aux_0.loss_ce: 0.0122, aux_0.acc_seg: 51.4038, aux_1.loss_guidance: 15.9908, loss: 16.0290 2024-03-24 18:56:52,358 - mmseg - INFO - Iter [7600/160000] lr: 3.815e-05, eta: 16:15:12, time: 0.135, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0297, decode.acc_seg: 61.5515, aux_0.loss_ce: 0.0129, aux_0.acc_seg: 56.4493, aux_1.loss_guidance: 16.1687, loss: 16.2113 2024-03-24 18:57:00,264 - mmseg - INFO - Iter [7650/160000] lr: 3.814e-05, eta: 16:11:08, time: 0.158, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0220, decode.acc_seg: 70.4673, aux_0.loss_ce: 0.0115, aux_0.acc_seg: 63.8196, aux_1.loss_guidance: 15.5799, loss: 15.6134 2024-03-24 18:57:08,043 - mmseg - INFO - Iter [7700/160000] lr: 3.812e-05, eta: 16:07:05, time: 0.156, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0395, decode.acc_seg: 65.3296, aux_0.loss_ce: 0.0194, aux_0.acc_seg: 57.4944, aux_1.loss_guidance: 15.9758, loss: 16.0347 2024-03-24 18:57:15,387 - mmseg - INFO - Iter [7750/160000] lr: 3.811e-05, eta: 16:02:56, time: 0.147, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0401, decode.acc_seg: 56.7258, aux_0.loss_ce: 0.0182, aux_0.acc_seg: 53.2860, aux_1.loss_guidance: 15.9307, loss: 15.9889 2024-03-24 18:57:22,202 - mmseg - INFO - Iter [7800/160000] lr: 3.810e-05, eta: 15:58:40, time: 0.136, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0327, decode.acc_seg: 60.8136, aux_0.loss_ce: 0.0151, aux_0.acc_seg: 57.1029, aux_1.loss_guidance: 15.4675, loss: 15.5153 2024-03-24 18:57:28,949 - mmseg - INFO - Iter [7850/160000] lr: 3.809e-05, eta: 15:54:25, time: 0.135, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0285, decode.acc_seg: 64.8299, aux_0.loss_ce: 0.0142, aux_0.acc_seg: 57.4304, aux_1.loss_guidance: 14.9735, loss: 15.0162 2024-03-24 18:57:35,829 - mmseg - INFO - Iter [7900/160000] lr: 3.807e-05, eta: 15:50:16, time: 0.138, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0306, decode.acc_seg: 68.3098, aux_0.loss_ce: 0.0151, aux_0.acc_seg: 63.1777, aux_1.loss_guidance: 15.6496, loss: 15.6953 2024-03-24 18:57:42,384 - mmseg - INFO - Iter [7950/160000] lr: 3.806e-05, eta: 15:46:05, time: 0.131, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0315, decode.acc_seg: 70.4687, aux_0.loss_ce: 0.0155, aux_0.acc_seg: 66.7425, aux_1.loss_guidance: 16.2832, loss: 16.3301 2024-03-24 18:57:49,116 - mmseg - INFO - Saving checkpoint at 8000 iterations 2024-03-24 18:57:50,400 - mmseg - INFO - Exp name: sctnet-b_seg896x896_8x2_160k_isaid_base_3.24.py 2024-03-24 18:57:50,400 - mmseg - INFO - Iter [8000/160000] lr: 3.805e-05, eta: 15:42:24, time: 0.160, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0205, decode.acc_seg: 61.3893, aux_0.loss_ce: 0.0102, aux_0.acc_seg: 54.4421, aux_1.loss_guidance: 15.1998, loss: 15.2304 2024-03-24 19:07:22,705 - mmseg - INFO - per class results: 2024-03-24 19:07:22,707 - mmseg - INFO - +--------------------+------+-------+ | Class | IoU | Acc | +--------------------+------+-------+ | background | 4.95 | 4.97 | | ship | 0.06 | 0.32 | | store_tank | 0.33 | 0.97 | | baseball_diamond | 0.03 | 2.3 | | tennis_court | 0.05 | 0.76 | | basketball_court | 0.07 | 14.05 | | Ground_Track_Field | 0.02 | 0.24 | | Bridge | 0.02 | 5.8 | | Large_Vehicle | 0.23 | 8.9 | | Small_Vehicle | 0.0 | 0.0 | | Helicopter | 0.0 | 0.0 | | Swimming_pool | 0.0 | 0.01 | | Roundabout | 0.01 | 14.3 | | Soccer_ball_field | 0.01 | 0.08 | | plane | 0.05 | 0.75 | | Harbor | 0.0 | 0.0 | +--------------------+------+-------+ 2024-03-24 19:07:22,707 - mmseg - INFO - Summary: 2024-03-24 19:07:22,707 - mmseg - INFO - +------+------+------+ | aAcc | mIoU | mAcc | +------+------+------+ | 4.86 | 0.36 | 3.34 | +------+------+------+ 2024-03-24 19:07:22,707 - mmseg - INFO - Exp name: sctnet-b_seg896x896_8x2_160k_isaid_base_3.24.py 2024-03-24 19:07:22,707 - mmseg - INFO - Iter(val) [11644] aAcc: 0.0486, mIoU: 0.0036, mAcc: 0.0334, IoU.background: 0.0495, IoU.ship: 0.0006, IoU.store_tank: 0.0033, IoU.baseball_diamond: 0.0003, IoU.tennis_court: 0.0005, IoU.basketball_court: 0.0007, IoU.Ground_Track_Field: 0.0002, IoU.Bridge: 0.0002, IoU.Large_Vehicle: 0.0023, IoU.Small_Vehicle: 0.0000, IoU.Helicopter: 0.0000, IoU.Swimming_pool: 0.0000, IoU.Roundabout: 0.0001, IoU.Soccer_ball_field: 0.0001, IoU.plane: 0.0005, IoU.Harbor: 0.0000, Acc.background: 0.0497, Acc.ship: 0.0032, Acc.store_tank: 0.0097, Acc.baseball_diamond: 0.0230, Acc.tennis_court: 0.0076, Acc.basketball_court: 0.1405, Acc.Ground_Track_Field: 0.0024, Acc.Bridge: 0.0580, Acc.Large_Vehicle: 0.0890, Acc.Small_Vehicle: 0.0000, Acc.Helicopter: 0.0000, Acc.Swimming_pool: 0.0001, Acc.Roundabout: 0.1430, Acc.Soccer_ball_field: 0.0008, Acc.plane: 0.0075, Acc.Harbor: 0.0000 2024-03-24 19:07:29,035 - mmseg - INFO - Iter [8050/160000] lr: 3.804e-05, eta: 18:38:16, time: 11.573, data_time: 11.457, memory: 9280, decode.loss_ce: 0.0287, decode.acc_seg: 58.4489, aux_0.loss_ce: 0.0122, aux_0.acc_seg: 50.4655, aux_1.loss_guidance: 15.3237, loss: 15.3646 2024-03-24 19:07:35,148 - mmseg - INFO - Iter [8100/160000] lr: 3.803e-05, eta: 18:32:55, time: 0.122, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0237, decode.acc_seg: 66.9105, aux_0.loss_ce: 0.0115, aux_0.acc_seg: 54.6704, aux_1.loss_guidance: 15.5630, loss: 15.5982 2024-03-24 19:07:41,136 - mmseg - INFO - Iter [8150/160000] lr: 3.801e-05, eta: 18:27:35, time: 0.120, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0301, decode.acc_seg: 72.6560, aux_0.loss_ce: 0.0147, aux_0.acc_seg: 69.1477, aux_1.loss_guidance: 15.3522, loss: 15.3970 2024-03-24 19:07:47,049 - mmseg - INFO - Iter [8200/160000] lr: 3.800e-05, eta: 18:22:17, time: 0.118, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0474, decode.acc_seg: 61.9565, aux_0.loss_ce: 0.0211, aux_0.acc_seg: 54.9432, aux_1.loss_guidance: 15.7441, loss: 15.8126 2024-03-24 19:07:53,050 - mmseg - INFO - Iter [8250/160000] lr: 3.799e-05, eta: 18:17:05, time: 0.120, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0307, decode.acc_seg: 63.4056, aux_0.loss_ce: 0.0160, aux_0.acc_seg: 53.8728, aux_1.loss_guidance: 16.7899, loss: 16.8365 2024-03-24 19:07:59,015 - mmseg - INFO - Iter [8300/160000] lr: 3.798e-05, eta: 18:11:56, time: 0.119, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0217, decode.acc_seg: 68.9947, aux_0.loss_ce: 0.0107, aux_0.acc_seg: 62.1881, aux_1.loss_guidance: 14.8978, loss: 14.9302 2024-03-24 19:08:05,201 - mmseg - INFO - Iter [8350/160000] lr: 3.796e-05, eta: 18:06:54, time: 0.124, data_time: 0.006, memory: 9280, decode.loss_ce: 0.0278, decode.acc_seg: 67.8373, aux_0.loss_ce: 0.0130, aux_0.acc_seg: 61.8520, aux_1.loss_guidance: 15.3994, loss: 15.4401 2024-03-24 19:08:11,565 - mmseg - INFO - Iter [8400/160000] lr: 3.795e-05, eta: 18:02:00, time: 0.127, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0174, decode.acc_seg: 60.8605, aux_0.loss_ce: 0.0075, aux_0.acc_seg: 60.6587, aux_1.loss_guidance: 14.2573, loss: 14.2821 2024-03-24 19:08:17,642 - mmseg - INFO - Iter [8450/160000] lr: 3.794e-05, eta: 17:57:03, time: 0.121, data_time: 0.006, memory: 9280, decode.loss_ce: 0.0496, decode.acc_seg: 59.7133, aux_0.loss_ce: 0.0216, aux_0.acc_seg: 53.7185, aux_1.loss_guidance: 16.9549, loss: 17.0261 2024-03-24 19:08:23,549 - mmseg - INFO - Iter [8500/160000] lr: 3.793e-05, eta: 17:52:07, time: 0.118, data_time: 0.006, memory: 9280, decode.loss_ce: 0.0219, decode.acc_seg: 61.4251, aux_0.loss_ce: 0.0116, aux_0.acc_seg: 56.2763, aux_1.loss_guidance: 15.3919, loss: 15.4254 2024-03-24 19:08:29,651 - mmseg - INFO - Iter [8550/160000] lr: 3.792e-05, eta: 17:47:18, time: 0.122, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0295, decode.acc_seg: 68.2755, aux_0.loss_ce: 0.0123, aux_0.acc_seg: 64.3559, aux_1.loss_guidance: 16.3374, loss: 16.3793 2024-03-24 19:08:35,791 - mmseg - INFO - Iter [8600/160000] lr: 3.790e-05, eta: 17:42:33, time: 0.123, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0347, decode.acc_seg: 64.4778, aux_0.loss_ce: 0.0168, aux_0.acc_seg: 55.3940, aux_1.loss_guidance: 15.6680, loss: 15.7196 2024-03-24 19:08:42,509 - mmseg - INFO - Iter [8650/160000] lr: 3.789e-05, eta: 17:38:01, time: 0.134, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0309, decode.acc_seg: 72.7814, aux_0.loss_ce: 0.0150, aux_0.acc_seg: 60.6196, aux_1.loss_guidance: 15.6695, loss: 15.7154 2024-03-24 19:08:49,074 - mmseg - INFO - Iter [8700/160000] lr: 3.788e-05, eta: 17:33:29, time: 0.131, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0323, decode.acc_seg: 65.5885, aux_0.loss_ce: 0.0147, aux_0.acc_seg: 58.3766, aux_1.loss_guidance: 15.0489, loss: 15.0959 2024-03-24 19:08:55,727 - mmseg - INFO - Iter [8750/160000] lr: 3.787e-05, eta: 17:29:02, time: 0.133, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0188, decode.acc_seg: 71.8149, aux_0.loss_ce: 0.0099, aux_0.acc_seg: 63.4310, aux_1.loss_guidance: 14.5433, loss: 14.5721 2024-03-24 19:09:02,228 - mmseg - INFO - Iter [8800/160000] lr: 3.786e-05, eta: 17:24:36, time: 0.130, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0484, decode.acc_seg: 60.8117, aux_0.loss_ce: 0.0221, aux_0.acc_seg: 52.7179, aux_1.loss_guidance: 16.3647, loss: 16.4353 2024-03-24 19:09:08,922 - mmseg - INFO - Iter [8850/160000] lr: 3.784e-05, eta: 17:20:15, time: 0.134, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0249, decode.acc_seg: 67.6251, aux_0.loss_ce: 0.0125, aux_0.acc_seg: 64.6603, aux_1.loss_guidance: 15.2825, loss: 15.3200 2024-03-24 19:09:15,957 - mmseg - INFO - Iter [8900/160000] lr: 3.783e-05, eta: 17:16:03, time: 0.141, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0306, decode.acc_seg: 70.0884, aux_0.loss_ce: 0.0144, aux_0.acc_seg: 61.1994, aux_1.loss_guidance: 15.5693, loss: 15.6143 2024-03-24 19:09:24,936 - mmseg - INFO - Iter [8950/160000] lr: 3.782e-05, eta: 17:12:27, time: 0.180, data_time: 0.011, memory: 9280, decode.loss_ce: 0.0238, decode.acc_seg: 66.7080, aux_0.loss_ce: 0.0107, aux_0.acc_seg: 63.3035, aux_1.loss_guidance: 15.0103, loss: 15.0448 2024-03-24 19:09:33,354 - mmseg - INFO - Exp name: sctnet-b_seg896x896_8x2_160k_isaid_base_3.24.py 2024-03-24 19:09:33,354 - mmseg - INFO - Iter [9000/160000] lr: 3.781e-05, eta: 17:08:44, time: 0.168, data_time: 0.011, memory: 9280, decode.loss_ce: 0.0292, decode.acc_seg: 72.8934, aux_0.loss_ce: 0.0146, aux_0.acc_seg: 66.8169, aux_1.loss_guidance: 15.4129, loss: 15.4567 2024-03-24 19:09:41,147 - mmseg - INFO - Iter [9050/160000] lr: 3.779e-05, eta: 17:04:53, time: 0.156, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0143, decode.acc_seg: 69.9537, aux_0.loss_ce: 0.0070, aux_0.acc_seg: 64.9815, aux_1.loss_guidance: 14.4108, loss: 14.4321 2024-03-24 19:09:48,865 - mmseg - INFO - Iter [9100/160000] lr: 3.778e-05, eta: 17:01:02, time: 0.154, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0334, decode.acc_seg: 64.7554, aux_0.loss_ce: 0.0164, aux_0.acc_seg: 55.5918, aux_1.loss_guidance: 16.2243, loss: 16.2741 2024-03-24 19:09:57,250 - mmseg - INFO - Iter [9150/160000] lr: 3.777e-05, eta: 16:57:26, time: 0.168, data_time: 0.011, memory: 9280, decode.loss_ce: 0.0287, decode.acc_seg: 70.5909, aux_0.loss_ce: 0.0139, aux_0.acc_seg: 62.8934, aux_1.loss_guidance: 15.2217, loss: 15.2643 2024-03-24 19:10:04,714 - mmseg - INFO - Iter [9200/160000] lr: 3.776e-05, eta: 16:53:36, time: 0.149, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0235, decode.acc_seg: 73.4477, aux_0.loss_ce: 0.0120, aux_0.acc_seg: 61.5590, aux_1.loss_guidance: 15.0359, loss: 15.0713 2024-03-24 19:10:12,046 - mmseg - INFO - Iter [9250/160000] lr: 3.775e-05, eta: 16:49:47, time: 0.147, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0282, decode.acc_seg: 64.4651, aux_0.loss_ce: 0.0124, aux_0.acc_seg: 54.7948, aux_1.loss_guidance: 14.3131, loss: 14.3537 2024-03-24 19:10:19,621 - mmseg - INFO - Iter [9300/160000] lr: 3.773e-05, eta: 16:46:04, time: 0.151, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0529, decode.acc_seg: 55.7756, aux_0.loss_ce: 0.0261, aux_0.acc_seg: 49.2891, aux_1.loss_guidance: 16.4243, loss: 16.5032 2024-03-24 19:10:26,809 - mmseg - INFO - Iter [9350/160000] lr: 3.772e-05, eta: 16:42:17, time: 0.144, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0236, decode.acc_seg: 75.4720, aux_0.loss_ce: 0.0113, aux_0.acc_seg: 67.1177, aux_1.loss_guidance: 14.8320, loss: 14.8668 2024-03-24 19:10:34,319 - mmseg - INFO - Iter [9400/160000] lr: 3.771e-05, eta: 16:38:37, time: 0.150, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0279, decode.acc_seg: 64.9709, aux_0.loss_ce: 0.0137, aux_0.acc_seg: 58.6739, aux_1.loss_guidance: 14.5684, loss: 14.6100 2024-03-24 19:10:41,477 - mmseg - INFO - Iter [9450/160000] lr: 3.770e-05, eta: 16:34:55, time: 0.143, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0330, decode.acc_seg: 75.6818, aux_0.loss_ce: 0.0163, aux_0.acc_seg: 68.9864, aux_1.loss_guidance: 15.4693, loss: 15.5186 2024-03-24 19:10:48,897 - mmseg - INFO - Iter [9500/160000] lr: 3.768e-05, eta: 16:31:18, time: 0.148, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0406, decode.acc_seg: 66.2915, aux_0.loss_ce: 0.0181, aux_0.acc_seg: 60.6357, aux_1.loss_guidance: 15.5143, loss: 15.5730 2024-03-24 19:10:56,129 - mmseg - INFO - Iter [9550/160000] lr: 3.767e-05, eta: 16:27:41, time: 0.145, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0307, decode.acc_seg: 65.2263, aux_0.loss_ce: 0.0143, aux_0.acc_seg: 59.4539, aux_1.loss_guidance: 15.0696, loss: 15.1146 2024-03-24 19:11:03,189 - mmseg - INFO - Iter [9600/160000] lr: 3.766e-05, eta: 16:24:03, time: 0.141, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0378, decode.acc_seg: 65.3049, aux_0.loss_ce: 0.0200, aux_0.acc_seg: 52.9745, aux_1.loss_guidance: 16.0025, loss: 16.0603 2024-03-24 19:11:10,270 - mmseg - INFO - Iter [9650/160000] lr: 3.765e-05, eta: 16:20:28, time: 0.142, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0249, decode.acc_seg: 69.5401, aux_0.loss_ce: 0.0137, aux_0.acc_seg: 62.6166, aux_1.loss_guidance: 16.2082, loss: 16.2468 2024-03-24 19:11:17,361 - mmseg - INFO - Iter [9700/160000] lr: 3.764e-05, eta: 16:16:56, time: 0.142, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0165, decode.acc_seg: 66.5192, aux_0.loss_ce: 0.0088, aux_0.acc_seg: 58.3355, aux_1.loss_guidance: 14.5154, loss: 14.5407 2024-03-24 19:11:24,656 - mmseg - INFO - Iter [9750/160000] lr: 3.762e-05, eta: 16:13:28, time: 0.146, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0384, decode.acc_seg: 72.1907, aux_0.loss_ce: 0.0167, aux_0.acc_seg: 61.8796, aux_1.loss_guidance: 15.0053, loss: 15.0604 2024-03-24 19:11:32,138 - mmseg - INFO - Iter [9800/160000] lr: 3.761e-05, eta: 16:10:05, time: 0.150, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0292, decode.acc_seg: 66.4745, aux_0.loss_ce: 0.0146, aux_0.acc_seg: 61.0158, aux_1.loss_guidance: 15.4286, loss: 15.4724 2024-03-24 19:11:39,133 - mmseg - INFO - Iter [9850/160000] lr: 3.760e-05, eta: 16:06:37, time: 0.140, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0201, decode.acc_seg: 75.4545, aux_0.loss_ce: 0.0097, aux_0.acc_seg: 66.8879, aux_1.loss_guidance: 14.8187, loss: 14.8484 2024-03-24 19:11:46,272 - mmseg - INFO - Iter [9900/160000] lr: 3.759e-05, eta: 16:03:13, time: 0.143, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0189, decode.acc_seg: 67.1327, aux_0.loss_ce: 0.0097, aux_0.acc_seg: 59.2752, aux_1.loss_guidance: 14.8664, loss: 14.8950 2024-03-24 19:11:53,593 - mmseg - INFO - Iter [9950/160000] lr: 3.757e-05, eta: 15:59:54, time: 0.146, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0490, decode.acc_seg: 70.1244, aux_0.loss_ce: 0.0208, aux_0.acc_seg: 62.8239, aux_1.loss_guidance: 14.8338, loss: 14.9036 2024-03-24 19:12:00,895 - mmseg - INFO - Saving checkpoint at 10000 iterations 2024-03-24 19:12:02,282 - mmseg - INFO - Exp name: sctnet-b_seg896x896_8x2_160k_isaid_base_3.24.py 2024-03-24 19:12:02,282 - mmseg - INFO - Iter [10000/160000] lr: 3.756e-05, eta: 15:56:57, time: 0.174, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0217, decode.acc_seg: 71.3051, aux_0.loss_ce: 0.0101, aux_0.acc_seg: 66.3421, aux_1.loss_guidance: 14.8084, loss: 14.8402 2024-03-24 19:22:00,522 - mmseg - INFO - per class results: 2024-03-24 19:22:00,524 - mmseg - INFO - +--------------------+------+-------+ | Class | IoU | Acc | +--------------------+------+-------+ | background | 2.81 | 2.82 | | ship | 0.1 | 1.02 | | store_tank | 0.53 | 1.99 | | baseball_diamond | 0.02 | 1.24 | | tennis_court | 0.02 | 0.14 | | basketball_court | 0.05 | 29.57 | | Ground_Track_Field | 0.02 | 0.23 | | Bridge | 0.01 | 1.81 | | Large_Vehicle | 0.37 | 6.45 | | Small_Vehicle | 0.0 | 0.0 | | Helicopter | 0.0 | 0.51 | | Swimming_pool | 0.0 | 0.21 | | Roundabout | 0.0 | 2.25 | | Soccer_ball_field | 0.01 | 0.06 | | plane | 0.09 | 0.89 | | Harbor | 0.0 | 0.0 | +--------------------+------+-------+ 2024-03-24 19:22:00,524 - mmseg - INFO - Summary: 2024-03-24 19:22:00,524 - mmseg - INFO - +------+------+------+ | aAcc | mIoU | mAcc | +------+------+------+ | 2.78 | 0.25 | 3.07 | +------+------+------+ 2024-03-24 19:22:00,525 - mmseg - INFO - Exp name: sctnet-b_seg896x896_8x2_160k_isaid_base_3.24.py 2024-03-24 19:22:00,525 - mmseg - INFO - Iter(val) [11644] aAcc: 0.0278, mIoU: 0.0025, mAcc: 0.0307, IoU.background: 0.0281, IoU.ship: 0.0010, IoU.store_tank: 0.0053, IoU.baseball_diamond: 0.0002, IoU.tennis_court: 0.0002, IoU.basketball_court: 0.0005, IoU.Ground_Track_Field: 0.0002, IoU.Bridge: 0.0001, IoU.Large_Vehicle: 0.0037, IoU.Small_Vehicle: 0.0000, IoU.Helicopter: 0.0000, IoU.Swimming_pool: 0.0000, IoU.Roundabout: 0.0000, IoU.Soccer_ball_field: 0.0001, IoU.plane: 0.0009, IoU.Harbor: 0.0000, Acc.background: 0.0282, Acc.ship: 0.0102, Acc.store_tank: 0.0199, Acc.baseball_diamond: 0.0124, Acc.tennis_court: 0.0014, Acc.basketball_court: 0.2957, Acc.Ground_Track_Field: 0.0023, Acc.Bridge: 0.0181, Acc.Large_Vehicle: 0.0645, Acc.Small_Vehicle: 0.0000, Acc.Helicopter: 0.0051, Acc.Swimming_pool: 0.0021, Acc.Roundabout: 0.0225, Acc.Soccer_ball_field: 0.0006, Acc.plane: 0.0089, Acc.Harbor: 0.0000 2024-03-24 19:22:06,753 - mmseg - INFO - Iter [10050/160000] lr: 3.755e-05, eta: 18:22:12, time: 12.089, data_time: 11.976, memory: 9280, decode.loss_ce: 0.0320, decode.acc_seg: 68.1058, aux_0.loss_ce: 0.0165, aux_0.acc_seg: 58.2037, aux_1.loss_guidance: 15.6967, loss: 15.7452 2024-03-24 19:22:12,867 - mmseg - INFO - Iter [10100/160000] lr: 3.754e-05, eta: 18:17:53, time: 0.122, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0200, decode.acc_seg: 61.9292, aux_0.loss_ce: 0.0103, aux_0.acc_seg: 49.5879, aux_1.loss_guidance: 14.6818, loss: 14.7121 2024-03-24 19:22:19,108 - mmseg - INFO - Iter [10150/160000] lr: 3.753e-05, eta: 18:13:39, time: 0.125, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0336, decode.acc_seg: 67.5649, aux_0.loss_ce: 0.0165, aux_0.acc_seg: 56.1565, aux_1.loss_guidance: 15.7523, loss: 15.8024 2024-03-24 19:22:25,223 - mmseg - INFO - Iter [10200/160000] lr: 3.751e-05, eta: 18:09:25, time: 0.122, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0230, decode.acc_seg: 73.4736, aux_0.loss_ce: 0.0114, aux_0.acc_seg: 68.4685, aux_1.loss_guidance: 14.8716, loss: 14.9060 2024-03-24 19:22:31,251 - mmseg - INFO - Iter [10250/160000] lr: 3.750e-05, eta: 18:05:13, time: 0.121, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0391, decode.acc_seg: 66.2978, aux_0.loss_ce: 0.0174, aux_0.acc_seg: 60.0980, aux_1.loss_guidance: 15.1087, loss: 15.1652 2024-03-24 19:22:37,368 - mmseg - INFO - Iter [10300/160000] lr: 3.749e-05, eta: 18:01:04, time: 0.122, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0289, decode.acc_seg: 58.0595, aux_0.loss_ce: 0.0133, aux_0.acc_seg: 51.9958, aux_1.loss_guidance: 15.0760, loss: 15.1181 2024-03-24 19:22:43,409 - mmseg - INFO - Iter [10350/160000] lr: 3.748e-05, eta: 17:56:56, time: 0.121, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0116, decode.acc_seg: 68.2922, aux_0.loss_ce: 0.0062, aux_0.acc_seg: 60.3801, aux_1.loss_guidance: 14.3753, loss: 14.3931 2024-03-24 19:22:49,595 - mmseg - INFO - Iter [10400/160000] lr: 3.747e-05, eta: 17:52:53, time: 0.124, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0202, decode.acc_seg: 71.2038, aux_0.loss_ce: 0.0103, aux_0.acc_seg: 63.6856, aux_1.loss_guidance: 14.1863, loss: 14.2169 2024-03-24 19:22:55,640 - mmseg - INFO - Iter [10450/160000] lr: 3.745e-05, eta: 17:48:50, time: 0.121, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0184, decode.acc_seg: 70.6861, aux_0.loss_ce: 0.0093, aux_0.acc_seg: 63.2992, aux_1.loss_guidance: 15.0051, loss: 15.0328 2024-03-24 19:23:01,759 - mmseg - INFO - Iter [10500/160000] lr: 3.744e-05, eta: 17:44:50, time: 0.122, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0248, decode.acc_seg: 69.1617, aux_0.loss_ce: 0.0115, aux_0.acc_seg: 62.7471, aux_1.loss_guidance: 15.2560, loss: 15.2923 2024-03-24 19:23:07,818 - mmseg - INFO - Iter [10550/160000] lr: 3.743e-05, eta: 17:40:52, time: 0.121, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0375, decode.acc_seg: 64.7241, aux_0.loss_ce: 0.0177, aux_0.acc_seg: 52.8584, aux_1.loss_guidance: 15.9279, loss: 15.9831 2024-03-24 19:23:14,033 - mmseg - INFO - Iter [10600/160000] lr: 3.742e-05, eta: 17:36:58, time: 0.124, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0264, decode.acc_seg: 67.1942, aux_0.loss_ce: 0.0127, aux_0.acc_seg: 59.3465, aux_1.loss_guidance: 14.5760, loss: 14.6151 2024-03-24 19:23:20,099 - mmseg - INFO - Iter [10650/160000] lr: 3.740e-05, eta: 17:33:04, time: 0.121, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0282, decode.acc_seg: 58.7614, aux_0.loss_ce: 0.0140, aux_0.acc_seg: 51.9284, aux_1.loss_guidance: 15.0746, loss: 15.1169 2024-03-24 19:23:27,783 - mmseg - INFO - Iter [10700/160000] lr: 3.739e-05, eta: 17:29:35, time: 0.154, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0185, decode.acc_seg: 69.7195, aux_0.loss_ce: 0.0090, aux_0.acc_seg: 63.7453, aux_1.loss_guidance: 14.3790, loss: 14.4065 2024-03-24 19:23:35,824 - mmseg - INFO - Iter [10750/160000] lr: 3.738e-05, eta: 17:26:13, time: 0.161, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0295, decode.acc_seg: 67.5420, aux_0.loss_ce: 0.0145, aux_0.acc_seg: 61.5218, aux_1.loss_guidance: 15.3120, loss: 15.3559 2024-03-24 19:23:43,540 - mmseg - INFO - Iter [10800/160000] lr: 3.737e-05, eta: 17:22:48, time: 0.154, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0229, decode.acc_seg: 69.1504, aux_0.loss_ce: 0.0131, aux_0.acc_seg: 60.3712, aux_1.loss_guidance: 15.0481, loss: 15.0840 2024-03-24 19:23:51,363 - mmseg - INFO - Iter [10850/160000] lr: 3.736e-05, eta: 17:19:26, time: 0.156, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0382, decode.acc_seg: 72.8679, aux_0.loss_ce: 0.0179, aux_0.acc_seg: 60.4861, aux_1.loss_guidance: 15.0878, loss: 15.1439 2024-03-24 19:23:59,248 - mmseg - INFO - Iter [10900/160000] lr: 3.734e-05, eta: 17:16:07, time: 0.158, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0361, decode.acc_seg: 67.8021, aux_0.loss_ce: 0.0167, aux_0.acc_seg: 61.1848, aux_1.loss_guidance: 14.4825, loss: 14.5354 2024-03-24 19:24:07,141 - mmseg - INFO - Iter [10950/160000] lr: 3.733e-05, eta: 17:12:50, time: 0.158, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0172, decode.acc_seg: 69.9175, aux_0.loss_ce: 0.0087, aux_0.acc_seg: 67.3318, aux_1.loss_guidance: 14.2650, loss: 14.2909 2024-03-24 19:24:14,816 - mmseg - INFO - Exp name: sctnet-b_seg896x896_8x2_160k_isaid_base_3.24.py 2024-03-24 19:24:14,816 - mmseg - INFO - Iter [11000/160000] lr: 3.732e-05, eta: 17:09:32, time: 0.153, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0400, decode.acc_seg: 64.4442, aux_0.loss_ce: 0.0188, aux_0.acc_seg: 53.9703, aux_1.loss_guidance: 15.2938, loss: 15.3526 2024-03-24 19:24:22,727 - mmseg - INFO - Iter [11050/160000] lr: 3.731e-05, eta: 17:06:18, time: 0.158, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0297, decode.acc_seg: 72.4432, aux_0.loss_ce: 0.0152, aux_0.acc_seg: 65.7910, aux_1.loss_guidance: 15.3705, loss: 15.4154 2024-03-24 19:24:30,339 - mmseg - INFO - Iter [11100/160000] lr: 3.729e-05, eta: 17:03:02, time: 0.152, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0327, decode.acc_seg: 73.5908, aux_0.loss_ce: 0.0140, aux_0.acc_seg: 63.8059, aux_1.loss_guidance: 14.5138, loss: 14.5605 2024-03-24 19:24:38,033 - mmseg - INFO - Iter [11150/160000] lr: 3.728e-05, eta: 16:59:49, time: 0.154, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0290, decode.acc_seg: 64.8306, aux_0.loss_ce: 0.0119, aux_0.acc_seg: 60.4098, aux_1.loss_guidance: 14.3476, loss: 14.3885 2024-03-24 19:24:45,695 - mmseg - INFO - Iter [11200/160000] lr: 3.727e-05, eta: 16:56:37, time: 0.153, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0277, decode.acc_seg: 71.8461, aux_0.loss_ce: 0.0149, aux_0.acc_seg: 63.0158, aux_1.loss_guidance: 14.1478, loss: 14.1904 2024-03-24 19:24:52,715 - mmseg - INFO - Iter [11250/160000] lr: 3.726e-05, eta: 16:53:19, time: 0.140, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0188, decode.acc_seg: 66.3327, aux_0.loss_ce: 0.0099, aux_0.acc_seg: 60.3604, aux_1.loss_guidance: 14.6833, loss: 14.7119 2024-03-24 19:24:59,892 - mmseg - INFO - Iter [11300/160000] lr: 3.725e-05, eta: 16:50:04, time: 0.143, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0228, decode.acc_seg: 72.7118, aux_0.loss_ce: 0.0120, aux_0.acc_seg: 65.3197, aux_1.loss_guidance: 14.7396, loss: 14.7745 2024-03-24 19:25:07,703 - mmseg - INFO - Iter [11350/160000] lr: 3.723e-05, eta: 16:46:59, time: 0.156, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0196, decode.acc_seg: 65.5291, aux_0.loss_ce: 0.0101, aux_0.acc_seg: 57.4996, aux_1.loss_guidance: 14.5862, loss: 14.6159 2024-03-24 19:25:15,324 - mmseg - INFO - Iter [11400/160000] lr: 3.722e-05, eta: 16:43:53, time: 0.152, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0365, decode.acc_seg: 66.4172, aux_0.loss_ce: 0.0161, aux_0.acc_seg: 60.2730, aux_1.loss_guidance: 15.1058, loss: 15.1585 2024-03-24 19:25:22,151 - mmseg - INFO - Iter [11450/160000] lr: 3.721e-05, eta: 16:40:38, time: 0.136, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0200, decode.acc_seg: 67.5839, aux_0.loss_ce: 0.0095, aux_0.acc_seg: 58.2705, aux_1.loss_guidance: 15.1640, loss: 15.1935 2024-03-24 19:25:28,726 - mmseg - INFO - Iter [11500/160000] lr: 3.720e-05, eta: 16:37:22, time: 0.131, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0203, decode.acc_seg: 67.3288, aux_0.loss_ce: 0.0091, aux_0.acc_seg: 61.4561, aux_1.loss_guidance: 13.8140, loss: 13.8435 2024-03-24 19:25:35,730 - mmseg - INFO - Iter [11550/160000] lr: 3.718e-05, eta: 16:34:13, time: 0.140, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0279, decode.acc_seg: 69.4745, aux_0.loss_ce: 0.0144, aux_0.acc_seg: 62.4054, aux_1.loss_guidance: 14.7745, loss: 14.8168 2024-03-24 19:25:42,413 - mmseg - INFO - Iter [11600/160000] lr: 3.717e-05, eta: 16:31:01, time: 0.134, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0261, decode.acc_seg: 70.9346, aux_0.loss_ce: 0.0122, aux_0.acc_seg: 67.8388, aux_1.loss_guidance: 14.7007, loss: 14.7389 2024-03-24 19:25:49,042 - mmseg - INFO - Iter [11650/160000] lr: 3.716e-05, eta: 16:27:50, time: 0.133, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0441, decode.acc_seg: 64.6633, aux_0.loss_ce: 0.0206, aux_0.acc_seg: 60.5313, aux_1.loss_guidance: 15.3691, loss: 15.4338 2024-03-24 19:25:55,660 - mmseg - INFO - Iter [11700/160000] lr: 3.715e-05, eta: 16:24:41, time: 0.132, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0245, decode.acc_seg: 62.0461, aux_0.loss_ce: 0.0114, aux_0.acc_seg: 57.1476, aux_1.loss_guidance: 14.1387, loss: 14.1746 2024-03-24 19:26:02,285 - mmseg - INFO - Iter [11750/160000] lr: 3.714e-05, eta: 16:21:34, time: 0.133, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0264, decode.acc_seg: 61.4282, aux_0.loss_ce: 0.0130, aux_0.acc_seg: 55.4495, aux_1.loss_guidance: 14.0675, loss: 14.1069 2024-03-24 19:26:09,158 - mmseg - INFO - Iter [11800/160000] lr: 3.712e-05, eta: 16:18:30, time: 0.137, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0252, decode.acc_seg: 68.1345, aux_0.loss_ce: 0.0132, aux_0.acc_seg: 59.7002, aux_1.loss_guidance: 14.2216, loss: 14.2599 2024-03-24 19:26:16,414 - mmseg - INFO - Iter [11850/160000] lr: 3.711e-05, eta: 16:15:34, time: 0.145, data_time: 0.021, memory: 9280, decode.loss_ce: 0.0341, decode.acc_seg: 66.6796, aux_0.loss_ce: 0.0165, aux_0.acc_seg: 59.6351, aux_1.loss_guidance: 15.3054, loss: 15.3561 2024-03-24 19:26:22,805 - mmseg - INFO - Iter [11900/160000] lr: 3.710e-05, eta: 16:12:28, time: 0.128, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0275, decode.acc_seg: 66.1666, aux_0.loss_ce: 0.0135, aux_0.acc_seg: 60.9223, aux_1.loss_guidance: 14.6906, loss: 14.7317 2024-03-24 19:26:29,268 - mmseg - INFO - Iter [11950/160000] lr: 3.709e-05, eta: 16:09:24, time: 0.129, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0346, decode.acc_seg: 67.4691, aux_0.loss_ce: 0.0176, aux_0.acc_seg: 57.5690, aux_1.loss_guidance: 14.8909, loss: 14.9432 2024-03-24 19:26:36,121 - mmseg - INFO - Saving checkpoint at 12000 iterations 2024-03-24 19:26:37,496 - mmseg - INFO - Exp name: sctnet-b_seg896x896_8x2_160k_isaid_base_3.24.py 2024-03-24 19:26:37,497 - mmseg - INFO - Iter [12000/160000] lr: 3.708e-05, eta: 16:06:44, time: 0.165, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0327, decode.acc_seg: 69.3529, aux_0.loss_ce: 0.0152, aux_0.acc_seg: 63.0612, aux_1.loss_guidance: 14.2980, loss: 14.3458 2024-03-24 19:35:48,811 - mmseg - INFO - per class results: 2024-03-24 19:35:48,812 - mmseg - INFO - +--------------------+------+------+ | Class | IoU | Acc | +--------------------+------+------+ | background | 4.12 | 4.14 | | ship | 0.05 | 0.46 | | store_tank | 0.15 | 0.59 | | baseball_diamond | 0.01 | 1.02 | | tennis_court | 0.03 | 1.12 | | basketball_court | 0.07 | 8.05 | | Ground_Track_Field | 0.06 | 0.69 | | Bridge | 0.0 | 0.52 | | Large_Vehicle | 0.29 | 6.68 | | Small_Vehicle | 0.0 | 0.0 | | Helicopter | 0.01 | 0.42 | | Swimming_pool | 0.0 | 0.58 | | Roundabout | 0.0 | 7.43 | | Soccer_ball_field | 0.01 | 0.05 | | plane | 0.03 | 0.35 | | Harbor | 0.0 | 0.0 | +--------------------+------+------+ 2024-03-24 19:35:48,812 - mmseg - INFO - Summary: 2024-03-24 19:35:48,813 - mmseg - INFO - +------+------+------+ | aAcc | mIoU | mAcc | +------+------+------+ | 4.04 | 0.3 | 2.01 | +------+------+------+ 2024-03-24 19:35:48,813 - mmseg - INFO - Exp name: sctnet-b_seg896x896_8x2_160k_isaid_base_3.24.py 2024-03-24 19:35:48,813 - mmseg - INFO - Iter(val) [11644] aAcc: 0.0404, mIoU: 0.0030, mAcc: 0.0201, IoU.background: 0.0412, IoU.ship: 0.0005, IoU.store_tank: 0.0015, IoU.baseball_diamond: 0.0001, IoU.tennis_court: 0.0003, IoU.basketball_court: 0.0007, IoU.Ground_Track_Field: 0.0006, IoU.Bridge: 0.0000, IoU.Large_Vehicle: 0.0029, IoU.Small_Vehicle: 0.0000, IoU.Helicopter: 0.0001, IoU.Swimming_pool: 0.0000, IoU.Roundabout: 0.0000, IoU.Soccer_ball_field: 0.0001, IoU.plane: 0.0003, IoU.Harbor: 0.0000, Acc.background: 0.0414, Acc.ship: 0.0046, Acc.store_tank: 0.0059, Acc.baseball_diamond: 0.0102, Acc.tennis_court: 0.0112, Acc.basketball_court: 0.0805, Acc.Ground_Track_Field: 0.0069, Acc.Bridge: 0.0052, Acc.Large_Vehicle: 0.0668, Acc.Small_Vehicle: 0.0000, Acc.Helicopter: 0.0042, Acc.Swimming_pool: 0.0058, Acc.Roundabout: 0.0743, Acc.Soccer_ball_field: 0.0005, Acc.plane: 0.0035, Acc.Harbor: 0.0000 2024-03-24 19:35:54,674 - mmseg - INFO - Iter [12050/160000] lr: 3.706e-05, eta: 17:56:24, time: 11.144, data_time: 11.033, memory: 9280, decode.loss_ce: 0.0137, decode.acc_seg: 65.5709, aux_0.loss_ce: 0.0072, aux_0.acc_seg: 60.0454, aux_1.loss_guidance: 13.9510, loss: 13.9719 2024-03-24 19:36:00,472 - mmseg - INFO - Iter [12100/160000] lr: 3.705e-05, eta: 17:52:47, time: 0.116, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0237, decode.acc_seg: 71.7639, aux_0.loss_ce: 0.0130, aux_0.acc_seg: 65.4773, aux_1.loss_guidance: 14.6870, loss: 14.7236 2024-03-24 19:36:06,319 - mmseg - INFO - Iter [12150/160000] lr: 3.704e-05, eta: 17:49:11, time: 0.117, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0152, decode.acc_seg: 68.8909, aux_0.loss_ce: 0.0073, aux_0.acc_seg: 62.9946, aux_1.loss_guidance: 14.1915, loss: 14.2140 2024-03-24 19:36:13,028 - mmseg - INFO - Iter [12200/160000] lr: 3.703e-05, eta: 17:45:48, time: 0.134, data_time: 0.023, memory: 9280, decode.loss_ce: 0.0231, decode.acc_seg: 69.4798, aux_0.loss_ce: 0.0115, aux_0.acc_seg: 60.0950, aux_1.loss_guidance: 14.1324, loss: 14.1670 2024-03-24 19:36:18,722 - mmseg - INFO - Iter [12250/160000] lr: 3.701e-05, eta: 17:42:14, time: 0.114, data_time: 0.006, memory: 9280, decode.loss_ce: 0.0377, decode.acc_seg: 68.6844, aux_0.loss_ce: 0.0183, aux_0.acc_seg: 61.0985, aux_1.loss_guidance: 14.7373, loss: 14.7933 2024-03-24 19:36:24,323 - mmseg - INFO - Iter [12300/160000] lr: 3.700e-05, eta: 17:38:41, time: 0.112, data_time: 0.006, memory: 9280, decode.loss_ce: 0.0261, decode.acc_seg: 74.2475, aux_0.loss_ce: 0.0128, aux_0.acc_seg: 61.8547, aux_1.loss_guidance: 14.7715, loss: 14.8103 2024-03-24 19:36:29,997 - mmseg - INFO - Iter [12350/160000] lr: 3.699e-05, eta: 17:35:10, time: 0.113, data_time: 0.006, memory: 9280, decode.loss_ce: 0.0262, decode.acc_seg: 67.6359, aux_0.loss_ce: 0.0136, aux_0.acc_seg: 59.3059, aux_1.loss_guidance: 14.3190, loss: 14.3588 2024-03-24 19:36:36,370 - mmseg - INFO - Iter [12400/160000] lr: 3.698e-05, eta: 17:31:49, time: 0.127, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0202, decode.acc_seg: 68.5981, aux_0.loss_ce: 0.0097, aux_0.acc_seg: 63.1736, aux_1.loss_guidance: 13.6843, loss: 13.7142 2024-03-24 19:36:42,935 - mmseg - INFO - Iter [12450/160000] lr: 3.697e-05, eta: 17:28:32, time: 0.131, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0296, decode.acc_seg: 59.8019, aux_0.loss_ce: 0.0137, aux_0.acc_seg: 54.3832, aux_1.loss_guidance: 13.8873, loss: 13.9306 2024-03-24 19:36:49,780 - mmseg - INFO - Iter [12500/160000] lr: 3.695e-05, eta: 17:25:20, time: 0.137, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0384, decode.acc_seg: 60.7804, aux_0.loss_ce: 0.0172, aux_0.acc_seg: 55.2844, aux_1.loss_guidance: 15.1698, loss: 15.2254 2024-03-24 19:36:56,752 - mmseg - INFO - Iter [12550/160000] lr: 3.694e-05, eta: 17:22:11, time: 0.139, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0211, decode.acc_seg: 63.6663, aux_0.loss_ce: 0.0096, aux_0.acc_seg: 57.3098, aux_1.loss_guidance: 14.0140, loss: 14.0447 2024-03-24 19:37:03,250 - mmseg - INFO - Iter [12600/160000] lr: 3.693e-05, eta: 17:18:58, time: 0.130, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0387, decode.acc_seg: 61.3070, aux_0.loss_ce: 0.0177, aux_0.acc_seg: 53.9879, aux_1.loss_guidance: 15.4695, loss: 15.5259 2024-03-24 19:37:09,754 - mmseg - INFO - Iter [12650/160000] lr: 3.692e-05, eta: 17:15:46, time: 0.130, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0330, decode.acc_seg: 70.2542, aux_0.loss_ce: 0.0169, aux_0.acc_seg: 57.1278, aux_1.loss_guidance: 14.3056, loss: 14.3555 2024-03-24 19:37:16,379 - mmseg - INFO - Iter [12700/160000] lr: 3.690e-05, eta: 17:12:37, time: 0.132, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0239, decode.acc_seg: 70.9579, aux_0.loss_ce: 0.0115, aux_0.acc_seg: 65.2810, aux_1.loss_guidance: 14.3511, loss: 14.3865 2024-03-24 19:37:23,329 - mmseg - INFO - Iter [12750/160000] lr: 3.689e-05, eta: 17:09:33, time: 0.139, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0213, decode.acc_seg: 76.6256, aux_0.loss_ce: 0.0124, aux_0.acc_seg: 68.1120, aux_1.loss_guidance: 14.4257, loss: 14.4594 2024-03-24 19:37:29,841 - mmseg - INFO - Iter [12800/160000] lr: 3.688e-05, eta: 17:06:26, time: 0.130, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0164, decode.acc_seg: 75.5673, aux_0.loss_ce: 0.0098, aux_0.acc_seg: 63.7841, aux_1.loss_guidance: 15.0871, loss: 15.1133 2024-03-24 19:37:36,545 - mmseg - INFO - Iter [12850/160000] lr: 3.687e-05, eta: 17:03:22, time: 0.134, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0180, decode.acc_seg: 68.3976, aux_0.loss_ce: 0.0097, aux_0.acc_seg: 59.2956, aux_1.loss_guidance: 14.4577, loss: 14.4854 2024-03-24 19:37:43,137 - mmseg - INFO - Iter [12900/160000] lr: 3.686e-05, eta: 17:00:19, time: 0.132, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0148, decode.acc_seg: 74.8589, aux_0.loss_ce: 0.0084, aux_0.acc_seg: 67.8621, aux_1.loss_guidance: 13.9272, loss: 13.9503 2024-03-24 19:37:49,789 - mmseg - INFO - Iter [12950/160000] lr: 3.684e-05, eta: 16:57:17, time: 0.133, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0339, decode.acc_seg: 67.3094, aux_0.loss_ce: 0.0157, aux_0.acc_seg: 60.9714, aux_1.loss_guidance: 14.2432, loss: 14.2929 2024-03-24 19:37:56,291 - mmseg - INFO - Exp name: sctnet-b_seg896x896_8x2_160k_isaid_base_3.24.py 2024-03-24 19:37:56,291 - mmseg - INFO - Iter [13000/160000] lr: 3.683e-05, eta: 16:54:15, time: 0.130, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0240, decode.acc_seg: 64.5076, aux_0.loss_ce: 0.0121, aux_0.acc_seg: 59.1243, aux_1.loss_guidance: 14.6486, loss: 14.6847 2024-03-24 19:38:02,837 - mmseg - INFO - Iter [13050/160000] lr: 3.682e-05, eta: 16:51:15, time: 0.131, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0336, decode.acc_seg: 73.9148, aux_0.loss_ce: 0.0173, aux_0.acc_seg: 63.9640, aux_1.loss_guidance: 14.3864, loss: 14.4373 2024-03-24 19:38:09,483 - mmseg - INFO - Iter [13100/160000] lr: 3.681e-05, eta: 16:48:18, time: 0.133, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0261, decode.acc_seg: 67.3994, aux_0.loss_ce: 0.0137, aux_0.acc_seg: 59.0599, aux_1.loss_guidance: 14.0018, loss: 14.0416 2024-03-24 19:38:16,091 - mmseg - INFO - Iter [13150/160000] lr: 3.679e-05, eta: 16:45:21, time: 0.132, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0251, decode.acc_seg: 70.5643, aux_0.loss_ce: 0.0131, aux_0.acc_seg: 62.8881, aux_1.loss_guidance: 14.0200, loss: 14.0583 2024-03-24 19:38:23,002 - mmseg - INFO - Iter [13200/160000] lr: 3.678e-05, eta: 16:42:29, time: 0.138, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0249, decode.acc_seg: 60.8354, aux_0.loss_ce: 0.0123, aux_0.acc_seg: 56.2702, aux_1.loss_guidance: 13.9524, loss: 13.9895 2024-03-24 19:38:29,721 - mmseg - INFO - Iter [13250/160000] lr: 3.677e-05, eta: 16:39:36, time: 0.134, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0154, decode.acc_seg: 68.1961, aux_0.loss_ce: 0.0089, aux_0.acc_seg: 60.7750, aux_1.loss_guidance: 13.9988, loss: 14.0231 2024-03-24 19:38:36,313 - mmseg - INFO - Iter [13300/160000] lr: 3.676e-05, eta: 16:36:43, time: 0.132, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0325, decode.acc_seg: 66.3560, aux_0.loss_ce: 0.0148, aux_0.acc_seg: 60.8988, aux_1.loss_guidance: 13.6546, loss: 13.7019 2024-03-24 19:38:42,958 - mmseg - INFO - Iter [13350/160000] lr: 3.675e-05, eta: 16:33:51, time: 0.133, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0195, decode.acc_seg: 67.6185, aux_0.loss_ce: 0.0103, aux_0.acc_seg: 60.6057, aux_1.loss_guidance: 14.1459, loss: 14.1757 2024-03-24 19:38:49,704 - mmseg - INFO - Iter [13400/160000] lr: 3.673e-05, eta: 16:31:02, time: 0.135, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0202, decode.acc_seg: 63.9131, aux_0.loss_ce: 0.0108, aux_0.acc_seg: 57.1745, aux_1.loss_guidance: 13.6231, loss: 13.6541 2024-03-24 19:38:56,707 - mmseg - INFO - Iter [13450/160000] lr: 3.672e-05, eta: 16:28:17, time: 0.140, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0185, decode.acc_seg: 71.0545, aux_0.loss_ce: 0.0095, aux_0.acc_seg: 66.0534, aux_1.loss_guidance: 14.0894, loss: 14.1174 2024-03-24 19:39:03,438 - mmseg - INFO - Iter [13500/160000] lr: 3.671e-05, eta: 16:25:31, time: 0.135, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0299, decode.acc_seg: 74.1486, aux_0.loss_ce: 0.0157, aux_0.acc_seg: 66.9236, aux_1.loss_guidance: 14.6050, loss: 14.6505 2024-03-24 19:39:10,036 - mmseg - INFO - Iter [13550/160000] lr: 3.670e-05, eta: 16:22:44, time: 0.132, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0253, decode.acc_seg: 63.0411, aux_0.loss_ce: 0.0129, aux_0.acc_seg: 54.0621, aux_1.loss_guidance: 14.1992, loss: 14.2374 2024-03-24 19:39:17,728 - mmseg - INFO - Iter [13600/160000] lr: 3.669e-05, eta: 16:20:10, time: 0.154, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0328, decode.acc_seg: 74.5854, aux_0.loss_ce: 0.0160, aux_0.acc_seg: 65.1150, aux_1.loss_guidance: 16.0404, loss: 16.0892 2024-03-24 19:39:25,683 - mmseg - INFO - Iter [13650/160000] lr: 3.667e-05, eta: 16:17:39, time: 0.159, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0196, decode.acc_seg: 70.7493, aux_0.loss_ce: 0.0106, aux_0.acc_seg: 63.5800, aux_1.loss_guidance: 13.8716, loss: 13.9017 2024-03-24 19:39:33,337 - mmseg - INFO - Iter [13700/160000] lr: 3.666e-05, eta: 16:15:07, time: 0.153, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0435, decode.acc_seg: 66.7262, aux_0.loss_ce: 0.0173, aux_0.acc_seg: 58.8223, aux_1.loss_guidance: 14.4532, loss: 14.5140 2024-03-24 19:39:40,213 - mmseg - INFO - Iter [13750/160000] lr: 3.665e-05, eta: 16:12:28, time: 0.138, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0250, decode.acc_seg: 68.5938, aux_0.loss_ce: 0.0135, aux_0.acc_seg: 61.9111, aux_1.loss_guidance: 14.7232, loss: 14.7617 2024-03-24 19:39:46,931 - mmseg - INFO - Iter [13800/160000] lr: 3.664e-05, eta: 16:09:47, time: 0.134, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0246, decode.acc_seg: 68.4063, aux_0.loss_ce: 0.0128, aux_0.acc_seg: 62.9367, aux_1.loss_guidance: 13.8862, loss: 13.9236 2024-03-24 19:39:53,736 - mmseg - INFO - Iter [13850/160000] lr: 3.662e-05, eta: 16:07:09, time: 0.136, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0207, decode.acc_seg: 73.3414, aux_0.loss_ce: 0.0111, aux_0.acc_seg: 63.8558, aux_1.loss_guidance: 13.5855, loss: 13.6173 2024-03-24 19:40:00,175 - mmseg - INFO - Iter [13900/160000] lr: 3.661e-05, eta: 16:04:29, time: 0.129, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0179, decode.acc_seg: 70.5115, aux_0.loss_ce: 0.0096, aux_0.acc_seg: 62.0878, aux_1.loss_guidance: 14.2632, loss: 14.2908 2024-03-24 19:40:06,788 - mmseg - INFO - Iter [13950/160000] lr: 3.660e-05, eta: 16:01:51, time: 0.132, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0250, decode.acc_seg: 74.9178, aux_0.loss_ce: 0.0120, aux_0.acc_seg: 67.7531, aux_1.loss_guidance: 14.6946, loss: 14.7316 2024-03-24 19:40:14,530 - mmseg - INFO - Saving checkpoint at 14000 iterations 2024-03-24 19:40:16,186 - mmseg - INFO - Exp name: sctnet-b_seg896x896_8x2_160k_isaid_base_3.24.py 2024-03-24 19:40:16,186 - mmseg - INFO - Iter [14000/160000] lr: 3.659e-05, eta: 15:59:43, time: 0.188, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0258, decode.acc_seg: 73.1660, aux_0.loss_ce: 0.0130, aux_0.acc_seg: 65.0130, aux_1.loss_guidance: 13.7804, loss: 13.8192 2024-03-24 19:50:02,479 - mmseg - INFO - per class results: 2024-03-24 19:50:02,481 - mmseg - INFO - +--------------------+------+-------+ | Class | IoU | Acc | +--------------------+------+-------+ | background | 3.9 | 3.92 | | ship | 0.06 | 0.55 | | store_tank | 0.45 | 3.08 | | baseball_diamond | 0.01 | 0.35 | | tennis_court | 0.01 | 0.14 | | basketball_court | 0.04 | 20.22 | | Ground_Track_Field | 0.03 | 0.24 | | Bridge | 0.01 | 1.61 | | Large_Vehicle | 0.17 | 3.47 | | Small_Vehicle | 0.0 | 0.0 | | Helicopter | 0.01 | 0.66 | | Swimming_pool | 0.0 | 0.1 | | Roundabout | 0.0 | 5.75 | | Soccer_ball_field | 0.0 | 0.0 | | plane | 0.12 | 1.17 | | Harbor | 0.0 | 0.0 | +--------------------+------+-------+ 2024-03-24 19:50:02,481 - mmseg - INFO - Summary: 2024-03-24 19:50:02,482 - mmseg - INFO - +------+------+------+ | aAcc | mIoU | mAcc | +------+------+------+ | 3.83 | 0.3 | 2.58 | +------+------+------+ 2024-03-24 19:50:02,483 - mmseg - INFO - Exp name: sctnet-b_seg896x896_8x2_160k_isaid_base_3.24.py 2024-03-24 19:50:02,483 - mmseg - INFO - Iter(val) [11644] aAcc: 0.0383, mIoU: 0.0030, mAcc: 0.0258, IoU.background: 0.0390, IoU.ship: 0.0006, IoU.store_tank: 0.0045, IoU.baseball_diamond: 0.0001, IoU.tennis_court: 0.0001, IoU.basketball_court: 0.0004, IoU.Ground_Track_Field: 0.0003, IoU.Bridge: 0.0001, IoU.Large_Vehicle: 0.0017, IoU.Small_Vehicle: 0.0000, IoU.Helicopter: 0.0001, IoU.Swimming_pool: 0.0000, IoU.Roundabout: 0.0000, IoU.Soccer_ball_field: 0.0000, IoU.plane: 0.0012, IoU.Harbor: 0.0000, Acc.background: 0.0392, Acc.ship: 0.0055, Acc.store_tank: 0.0308, Acc.baseball_diamond: 0.0035, Acc.tennis_court: 0.0014, Acc.basketball_court: 0.2022, Acc.Ground_Track_Field: 0.0024, Acc.Bridge: 0.0161, Acc.Large_Vehicle: 0.0347, Acc.Small_Vehicle: 0.0000, Acc.Helicopter: 0.0066, Acc.Swimming_pool: 0.0010, Acc.Roundabout: 0.0575, Acc.Soccer_ball_field: 0.0000, Acc.plane: 0.0117, Acc.Harbor: 0.0000 2024-03-24 19:50:09,031 - mmseg - INFO - Iter [14050/160000] lr: 3.658e-05, eta: 17:38:37, time: 11.857, data_time: 11.734, memory: 9280, decode.loss_ce: 0.0268, decode.acc_seg: 70.6074, aux_0.loss_ce: 0.0131, aux_0.acc_seg: 59.3806, aux_1.loss_guidance: 14.3245, loss: 14.3643 2024-03-24 19:50:15,645 - mmseg - INFO - Iter [14100/160000] lr: 3.656e-05, eta: 17:35:38, time: 0.132, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0396, decode.acc_seg: 72.8743, aux_0.loss_ce: 0.0187, aux_0.acc_seg: 65.4510, aux_1.loss_guidance: 14.5643, loss: 14.6226 2024-03-24 19:50:22,318 - mmseg - INFO - Iter [14150/160000] lr: 3.655e-05, eta: 17:32:41, time: 0.133, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0204, decode.acc_seg: 70.9750, aux_0.loss_ce: 0.0112, aux_0.acc_seg: 58.9914, aux_1.loss_guidance: 13.6690, loss: 13.7006 2024-03-24 19:50:29,225 - mmseg - INFO - Iter [14200/160000] lr: 3.654e-05, eta: 17:29:48, time: 0.138, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0224, decode.acc_seg: 73.1057, aux_0.loss_ce: 0.0107, aux_0.acc_seg: 64.2729, aux_1.loss_guidance: 13.3831, loss: 13.4161 2024-03-24 19:50:37,616 - mmseg - INFO - Iter [14250/160000] lr: 3.653e-05, eta: 17:27:12, time: 0.168, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0348, decode.acc_seg: 68.8600, aux_0.loss_ce: 0.0171, aux_0.acc_seg: 52.3724, aux_1.loss_guidance: 14.5782, loss: 14.6300 2024-03-24 19:50:45,656 - mmseg - INFO - Iter [14300/160000] lr: 3.651e-05, eta: 17:24:32, time: 0.161, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0200, decode.acc_seg: 72.7665, aux_0.loss_ce: 0.0120, aux_0.acc_seg: 61.9680, aux_1.loss_guidance: 14.4556, loss: 14.4876 2024-03-24 19:50:52,750 - mmseg - INFO - Iter [14350/160000] lr: 3.650e-05, eta: 17:21:45, time: 0.142, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0335, decode.acc_seg: 77.3860, aux_0.loss_ce: 0.0164, aux_0.acc_seg: 68.5567, aux_1.loss_guidance: 13.9980, loss: 14.0479 2024-03-24 19:51:00,627 - mmseg - INFO - Iter [14400/160000] lr: 3.649e-05, eta: 17:19:06, time: 0.158, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0155, decode.acc_seg: 74.9607, aux_0.loss_ce: 0.0075, aux_0.acc_seg: 69.2197, aux_1.loss_guidance: 12.8975, loss: 12.9205 2024-03-24 19:51:08,398 - mmseg - INFO - Iter [14450/160000] lr: 3.648e-05, eta: 17:16:27, time: 0.155, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0239, decode.acc_seg: 67.4964, aux_0.loss_ce: 0.0115, aux_0.acc_seg: 58.7135, aux_1.loss_guidance: 13.8180, loss: 13.8533 2024-03-24 19:51:17,011 - mmseg - INFO - Iter [14500/160000] lr: 3.647e-05, eta: 17:13:58, time: 0.172, data_time: 0.011, memory: 9280, decode.loss_ce: 0.0253, decode.acc_seg: 66.5789, aux_0.loss_ce: 0.0127, aux_0.acc_seg: 56.8744, aux_1.loss_guidance: 14.5685, loss: 14.6065 2024-03-24 19:51:25,258 - mmseg - INFO - Iter [14550/160000] lr: 3.645e-05, eta: 17:11:26, time: 0.165, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0193, decode.acc_seg: 71.5409, aux_0.loss_ce: 0.0111, aux_0.acc_seg: 65.2719, aux_1.loss_guidance: 14.0256, loss: 14.0560 2024-03-24 19:51:32,842 - mmseg - INFO - Iter [14600/160000] lr: 3.644e-05, eta: 17:08:48, time: 0.152, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0321, decode.acc_seg: 68.3323, aux_0.loss_ce: 0.0156, aux_0.acc_seg: 60.5520, aux_1.loss_guidance: 14.2151, loss: 14.2629 2024-03-24 19:51:40,887 - mmseg - INFO - Iter [14650/160000] lr: 3.643e-05, eta: 17:06:16, time: 0.161, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0182, decode.acc_seg: 77.8216, aux_0.loss_ce: 0.0096, aux_0.acc_seg: 69.4326, aux_1.loss_guidance: 14.6500, loss: 14.6778 2024-03-24 19:51:48,709 - mmseg - INFO - Iter [14700/160000] lr: 3.642e-05, eta: 17:03:43, time: 0.156, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0343, decode.acc_seg: 69.6847, aux_0.loss_ce: 0.0183, aux_0.acc_seg: 59.9515, aux_1.loss_guidance: 14.9245, loss: 14.9771 2024-03-24 19:51:56,015 - mmseg - INFO - Iter [14750/160000] lr: 3.640e-05, eta: 17:01:05, time: 0.146, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0199, decode.acc_seg: 73.3250, aux_0.loss_ce: 0.0097, aux_0.acc_seg: 65.1830, aux_1.loss_guidance: 13.7131, loss: 13.7428 2024-03-24 19:52:03,987 - mmseg - INFO - Iter [14800/160000] lr: 3.639e-05, eta: 16:58:36, time: 0.159, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0363, decode.acc_seg: 69.6956, aux_0.loss_ce: 0.0172, aux_0.acc_seg: 61.8052, aux_1.loss_guidance: 14.8356, loss: 14.8892 2024-03-24 19:52:10,950 - mmseg - INFO - Iter [14850/160000] lr: 3.638e-05, eta: 16:55:57, time: 0.139, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0259, decode.acc_seg: 73.8497, aux_0.loss_ce: 0.0125, aux_0.acc_seg: 61.5679, aux_1.loss_guidance: 13.8411, loss: 13.8796 2024-03-24 19:52:18,280 - mmseg - INFO - Iter [14900/160000] lr: 3.637e-05, eta: 16:53:23, time: 0.147, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0224, decode.acc_seg: 76.1763, aux_0.loss_ce: 0.0110, aux_0.acc_seg: 67.0903, aux_1.loss_guidance: 13.4789, loss: 13.5123 2024-03-24 19:52:25,486 - mmseg - INFO - Iter [14950/160000] lr: 3.636e-05, eta: 16:50:48, time: 0.144, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0265, decode.acc_seg: 68.4734, aux_0.loss_ce: 0.0140, aux_0.acc_seg: 62.1146, aux_1.loss_guidance: 13.8740, loss: 13.9146 2024-03-24 19:52:32,603 - mmseg - INFO - Exp name: sctnet-b_seg896x896_8x2_160k_isaid_base_3.24.py 2024-03-24 19:52:32,603 - mmseg - INFO - Iter [15000/160000] lr: 3.634e-05, eta: 16:48:14, time: 0.142, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0355, decode.acc_seg: 72.8789, aux_0.loss_ce: 0.0163, aux_0.acc_seg: 62.3524, aux_1.loss_guidance: 14.3031, loss: 14.3549 2024-03-24 19:52:39,948 - mmseg - INFO - Iter [15050/160000] lr: 3.633e-05, eta: 16:45:43, time: 0.147, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0290, decode.acc_seg: 69.5579, aux_0.loss_ce: 0.0149, aux_0.acc_seg: 61.4332, aux_1.loss_guidance: 14.4153, loss: 14.4591 2024-03-24 19:52:47,288 - mmseg - INFO - Iter [15100/160000] lr: 3.632e-05, eta: 16:43:13, time: 0.147, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0206, decode.acc_seg: 66.5598, aux_0.loss_ce: 0.0109, aux_0.acc_seg: 57.7456, aux_1.loss_guidance: 14.0009, loss: 14.0324 2024-03-24 19:52:54,587 - mmseg - INFO - Iter [15150/160000] lr: 3.631e-05, eta: 16:40:43, time: 0.146, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0269, decode.acc_seg: 71.1828, aux_0.loss_ce: 0.0142, aux_0.acc_seg: 66.7738, aux_1.loss_guidance: 13.8101, loss: 13.8512 2024-03-24 19:53:02,040 - mmseg - INFO - Iter [15200/160000] lr: 3.630e-05, eta: 16:38:16, time: 0.149, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0149, decode.acc_seg: 79.4792, aux_0.loss_ce: 0.0079, aux_0.acc_seg: 70.9669, aux_1.loss_guidance: 13.4659, loss: 13.4887 2024-03-24 19:53:10,215 - mmseg - INFO - Iter [15250/160000] lr: 3.628e-05, eta: 16:35:57, time: 0.163, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0239, decode.acc_seg: 67.2174, aux_0.loss_ce: 0.0121, aux_0.acc_seg: 58.6629, aux_1.loss_guidance: 13.5240, loss: 13.5599 2024-03-24 19:53:18,970 - mmseg - INFO - Iter [15300/160000] lr: 3.627e-05, eta: 16:33:44, time: 0.175, data_time: 0.011, memory: 9280, decode.loss_ce: 0.0255, decode.acc_seg: 72.0122, aux_0.loss_ce: 0.0139, aux_0.acc_seg: 59.5581, aux_1.loss_guidance: 14.9084, loss: 14.9478 2024-03-24 19:53:27,365 - mmseg - INFO - Iter [15350/160000] lr: 3.626e-05, eta: 16:31:28, time: 0.168, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0169, decode.acc_seg: 73.2073, aux_0.loss_ce: 0.0096, aux_0.acc_seg: 62.3101, aux_1.loss_guidance: 13.7580, loss: 13.7846 2024-03-24 19:53:36,072 - mmseg - INFO - Iter [15400/160000] lr: 3.625e-05, eta: 16:29:16, time: 0.174, data_time: 0.011, memory: 9280, decode.loss_ce: 0.0243, decode.acc_seg: 71.5798, aux_0.loss_ce: 0.0127, aux_0.acc_seg: 64.0248, aux_1.loss_guidance: 13.6949, loss: 13.7319 2024-03-24 19:53:43,834 - mmseg - INFO - Iter [15450/160000] lr: 3.623e-05, eta: 16:26:56, time: 0.155, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0322, decode.acc_seg: 64.7915, aux_0.loss_ce: 0.0145, aux_0.acc_seg: 58.9495, aux_1.loss_guidance: 12.9851, loss: 13.0318 2024-03-24 19:53:51,391 - mmseg - INFO - Iter [15500/160000] lr: 3.622e-05, eta: 16:24:35, time: 0.151, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0393, decode.acc_seg: 70.7275, aux_0.loss_ce: 0.0168, aux_0.acc_seg: 64.3741, aux_1.loss_guidance: 13.9635, loss: 14.0196 2024-03-24 19:53:59,198 - mmseg - INFO - Iter [15550/160000] lr: 3.621e-05, eta: 16:22:18, time: 0.156, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0178, decode.acc_seg: 70.2625, aux_0.loss_ce: 0.0080, aux_0.acc_seg: 65.8314, aux_1.loss_guidance: 13.8625, loss: 13.8883 2024-03-24 19:54:07,556 - mmseg - INFO - Iter [15600/160000] lr: 3.620e-05, eta: 16:20:06, time: 0.167, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0140, decode.acc_seg: 66.7492, aux_0.loss_ce: 0.0075, aux_0.acc_seg: 59.2952, aux_1.loss_guidance: 12.9643, loss: 12.9857 2024-03-24 19:54:14,713 - mmseg - INFO - Iter [15650/160000] lr: 3.619e-05, eta: 16:17:43, time: 0.143, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0215, decode.acc_seg: 74.5070, aux_0.loss_ce: 0.0103, aux_0.acc_seg: 67.5617, aux_1.loss_guidance: 14.2436, loss: 14.2754 2024-03-24 19:54:21,670 - mmseg - INFO - Iter [15700/160000] lr: 3.617e-05, eta: 16:15:20, time: 0.139, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0239, decode.acc_seg: 70.7815, aux_0.loss_ce: 0.0123, aux_0.acc_seg: 64.4990, aux_1.loss_guidance: 14.0198, loss: 14.0560 2024-03-24 19:54:28,652 - mmseg - INFO - Iter [15750/160000] lr: 3.616e-05, eta: 16:12:58, time: 0.140, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0160, decode.acc_seg: 70.7132, aux_0.loss_ce: 0.0097, aux_0.acc_seg: 61.7694, aux_1.loss_guidance: 13.0482, loss: 13.0739 2024-03-24 19:54:36,025 - mmseg - INFO - Iter [15800/160000] lr: 3.615e-05, eta: 16:10:41, time: 0.147, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0203, decode.acc_seg: 71.0282, aux_0.loss_ce: 0.0113, aux_0.acc_seg: 62.4116, aux_1.loss_guidance: 13.6377, loss: 13.6693 2024-03-24 19:54:43,326 - mmseg - INFO - Iter [15850/160000] lr: 3.614e-05, eta: 16:08:23, time: 0.146, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0270, decode.acc_seg: 65.3893, aux_0.loss_ce: 0.0134, aux_0.acc_seg: 57.1293, aux_1.loss_guidance: 14.0605, loss: 14.1010 2024-03-24 19:54:50,747 - mmseg - INFO - Iter [15900/160000] lr: 3.612e-05, eta: 16:06:08, time: 0.148, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0324, decode.acc_seg: 69.4275, aux_0.loss_ce: 0.0171, aux_0.acc_seg: 57.4767, aux_1.loss_guidance: 14.0616, loss: 14.1110 2024-03-24 19:54:59,139 - mmseg - INFO - Iter [15950/160000] lr: 3.611e-05, eta: 16:04:02, time: 0.168, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0351, decode.acc_seg: 71.0020, aux_0.loss_ce: 0.0169, aux_0.acc_seg: 63.2849, aux_1.loss_guidance: 14.3256, loss: 14.3776 2024-03-24 19:55:07,451 - mmseg - INFO - Saving checkpoint at 16000 iterations 2024-03-24 19:55:09,084 - mmseg - INFO - Exp name: sctnet-b_seg896x896_8x2_160k_isaid_base_3.24.py 2024-03-24 19:55:09,084 - mmseg - INFO - Iter [16000/160000] lr: 3.610e-05, eta: 16:02:10, time: 0.199, data_time: 0.011, memory: 9280, decode.loss_ce: 0.0273, decode.acc_seg: 70.0295, aux_0.loss_ce: 0.0136, aux_0.acc_seg: 63.6275, aux_1.loss_guidance: 14.5488, loss: 14.5897 2024-03-24 20:04:41,914 - mmseg - INFO - per class results: 2024-03-24 20:04:41,916 - mmseg - INFO - +--------------------+------+-------+ | Class | IoU | Acc | +--------------------+------+-------+ | background | 1.19 | 1.19 | | ship | 0.03 | 0.14 | | store_tank | 0.78 | 6.03 | | baseball_diamond | 0.0 | 0.02 | | tennis_court | 0.01 | 0.09 | | basketball_court | 0.18 | 20.35 | | Ground_Track_Field | 0.02 | 0.11 | | Bridge | 0.01 | 2.26 | | Large_Vehicle | 0.28 | 3.96 | | Small_Vehicle | 0.0 | 0.0 | | Helicopter | 0.04 | 1.37 | | Swimming_pool | 0.01 | 0.16 | | Roundabout | 0.01 | 24.4 | | Soccer_ball_field | 0.0 | 0.0 | | plane | 0.44 | 3.52 | | Harbor | 0.0 | 0.0 | +--------------------+------+-------+ 2024-03-24 20:04:41,916 - mmseg - INFO - Summary: 2024-03-24 20:04:41,916 - mmseg - INFO - +------+------+------+ | aAcc | mIoU | mAcc | +------+------+------+ | 1.2 | 0.19 | 3.98 | +------+------+------+ 2024-03-24 20:04:41,917 - mmseg - INFO - Exp name: sctnet-b_seg896x896_8x2_160k_isaid_base_3.24.py 2024-03-24 20:04:41,918 - mmseg - INFO - Iter(val) [11644] aAcc: 0.0120, mIoU: 0.0019, mAcc: 0.0398, IoU.background: 0.0119, IoU.ship: 0.0003, IoU.store_tank: 0.0078, IoU.baseball_diamond: 0.0000, IoU.tennis_court: 0.0001, IoU.basketball_court: 0.0018, IoU.Ground_Track_Field: 0.0002, IoU.Bridge: 0.0001, IoU.Large_Vehicle: 0.0028, IoU.Small_Vehicle: 0.0000, IoU.Helicopter: 0.0004, IoU.Swimming_pool: 0.0001, IoU.Roundabout: 0.0001, IoU.Soccer_ball_field: 0.0000, IoU.plane: 0.0044, IoU.Harbor: 0.0000, Acc.background: 0.0119, Acc.ship: 0.0014, Acc.store_tank: 0.0603, Acc.baseball_diamond: 0.0002, Acc.tennis_court: 0.0009, Acc.basketball_court: 0.2035, Acc.Ground_Track_Field: 0.0011, Acc.Bridge: 0.0226, Acc.Large_Vehicle: 0.0396, Acc.Small_Vehicle: 0.0000, Acc.Helicopter: 0.0137, Acc.Swimming_pool: 0.0016, Acc.Roundabout: 0.2440, Acc.Soccer_ball_field: 0.0000, Acc.plane: 0.0352, Acc.Harbor: 0.0000 2024-03-24 20:04:52,093 - mmseg - INFO - Iter [16050/160000] lr: 3.609e-05, eta: 17:25:59, time: 11.660, data_time: 11.467, memory: 9280, decode.loss_ce: 0.0171, decode.acc_seg: 69.7942, aux_0.loss_ce: 0.0101, aux_0.acc_seg: 63.6131, aux_1.loss_guidance: 13.9007, loss: 13.9279 2024-03-24 20:05:02,629 - mmseg - INFO - Iter [16100/160000] lr: 3.608e-05, eta: 17:23:57, time: 0.211, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0123, decode.acc_seg: 72.3723, aux_0.loss_ce: 0.0077, aux_0.acc_seg: 64.8381, aux_1.loss_guidance: 13.4059, loss: 13.4258 2024-03-24 20:05:12,634 - mmseg - INFO - Iter [16150/160000] lr: 3.606e-05, eta: 17:21:50, time: 0.200, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0205, decode.acc_seg: 75.8643, aux_0.loss_ce: 0.0107, aux_0.acc_seg: 65.2511, aux_1.loss_guidance: 13.4317, loss: 13.4628 2024-03-24 20:05:23,011 - mmseg - INFO - Iter [16200/160000] lr: 3.605e-05, eta: 17:19:48, time: 0.208, data_time: 0.011, memory: 9280, decode.loss_ce: 0.0275, decode.acc_seg: 71.3368, aux_0.loss_ce: 0.0143, aux_0.acc_seg: 62.9237, aux_1.loss_guidance: 13.7272, loss: 13.7690 2024-03-24 20:05:33,329 - mmseg - INFO - Iter [16250/160000] lr: 3.604e-05, eta: 17:17:46, time: 0.206, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0267, decode.acc_seg: 72.1113, aux_0.loss_ce: 0.0132, aux_0.acc_seg: 64.7823, aux_1.loss_guidance: 13.7000, loss: 13.7399 2024-03-24 20:05:43,654 - mmseg - INFO - Iter [16300/160000] lr: 3.603e-05, eta: 17:15:44, time: 0.206, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0287, decode.acc_seg: 73.2532, aux_0.loss_ce: 0.0140, aux_0.acc_seg: 64.3387, aux_1.loss_guidance: 13.6998, loss: 13.7425 2024-03-24 20:05:53,568 - mmseg - INFO - Iter [16350/160000] lr: 3.601e-05, eta: 17:13:39, time: 0.198, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0320, decode.acc_seg: 79.4929, aux_0.loss_ce: 0.0166, aux_0.acc_seg: 69.9756, aux_1.loss_guidance: 14.4346, loss: 14.4832 2024-03-24 20:06:03,501 - mmseg - INFO - Iter [16400/160000] lr: 3.600e-05, eta: 17:11:36, time: 0.199, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0268, decode.acc_seg: 69.0051, aux_0.loss_ce: 0.0135, aux_0.acc_seg: 59.8511, aux_1.loss_guidance: 13.7873, loss: 13.8276 2024-03-24 20:06:13,262 - mmseg - INFO - Iter [16450/160000] lr: 3.599e-05, eta: 17:09:31, time: 0.195, data_time: 0.019, memory: 9280, decode.loss_ce: 0.0316, decode.acc_seg: 66.6908, aux_0.loss_ce: 0.0166, aux_0.acc_seg: 60.5979, aux_1.loss_guidance: 14.3515, loss: 14.3998 2024-03-24 20:06:22,606 - mmseg - INFO - Iter [16500/160000] lr: 3.598e-05, eta: 17:07:24, time: 0.187, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0194, decode.acc_seg: 74.9630, aux_0.loss_ce: 0.0100, aux_0.acc_seg: 69.3326, aux_1.loss_guidance: 13.4035, loss: 13.4328 2024-03-24 20:06:32,775 - mmseg - INFO - Iter [16550/160000] lr: 3.597e-05, eta: 17:05:24, time: 0.203, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0237, decode.acc_seg: 67.2941, aux_0.loss_ce: 0.0128, aux_0.acc_seg: 57.6840, aux_1.loss_guidance: 13.4154, loss: 13.4519 2024-03-24 20:06:43,112 - mmseg - INFO - Iter [16600/160000] lr: 3.595e-05, eta: 17:03:27, time: 0.207, data_time: 0.011, memory: 9280, decode.loss_ce: 0.0299, decode.acc_seg: 67.7554, aux_0.loss_ce: 0.0159, aux_0.acc_seg: 59.7998, aux_1.loss_guidance: 13.6762, loss: 13.7220 2024-03-24 20:06:52,979 - mmseg - INFO - Iter [16650/160000] lr: 3.594e-05, eta: 17:01:26, time: 0.197, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0218, decode.acc_seg: 71.0859, aux_0.loss_ce: 0.0120, aux_0.acc_seg: 64.5102, aux_1.loss_guidance: 13.3771, loss: 13.4109 2024-03-24 20:07:02,373 - mmseg - INFO - Iter [16700/160000] lr: 3.593e-05, eta: 16:59:22, time: 0.188, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0160, decode.acc_seg: 73.6614, aux_0.loss_ce: 0.0087, aux_0.acc_seg: 63.9110, aux_1.loss_guidance: 13.0456, loss: 13.0703 2024-03-24 20:07:11,732 - mmseg - INFO - Iter [16750/160000] lr: 3.592e-05, eta: 16:57:18, time: 0.187, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0233, decode.acc_seg: 72.8819, aux_0.loss_ce: 0.0129, aux_0.acc_seg: 64.1840, aux_1.loss_guidance: 13.4968, loss: 13.5330 2024-03-24 20:07:21,025 - mmseg - INFO - Iter [16800/160000] lr: 3.591e-05, eta: 16:55:15, time: 0.186, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0281, decode.acc_seg: 76.1193, aux_0.loss_ce: 0.0129, aux_0.acc_seg: 69.4831, aux_1.loss_guidance: 14.0028, loss: 14.0439 2024-03-24 20:07:30,309 - mmseg - INFO - Iter [16850/160000] lr: 3.589e-05, eta: 16:53:11, time: 0.186, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0136, decode.acc_seg: 74.0797, aux_0.loss_ce: 0.0086, aux_0.acc_seg: 64.3165, aux_1.loss_guidance: 13.4384, loss: 13.4605 2024-03-24 20:07:39,533 - mmseg - INFO - Iter [16900/160000] lr: 3.588e-05, eta: 16:51:08, time: 0.184, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0156, decode.acc_seg: 71.2951, aux_0.loss_ce: 0.0087, aux_0.acc_seg: 63.8468, aux_1.loss_guidance: 13.0505, loss: 13.0747 2024-03-24 20:07:48,991 - mmseg - INFO - Iter [16950/160000] lr: 3.587e-05, eta: 16:49:08, time: 0.189, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0252, decode.acc_seg: 75.9798, aux_0.loss_ce: 0.0115, aux_0.acc_seg: 69.7601, aux_1.loss_guidance: 14.3777, loss: 14.4144 2024-03-24 20:08:01,058 - mmseg - INFO - Exp name: sctnet-b_seg896x896_8x2_160k_isaid_base_3.24.py 2024-03-24 20:08:01,059 - mmseg - INFO - Iter [17000/160000] lr: 3.586e-05, eta: 16:47:30, time: 0.241, data_time: 0.053, memory: 9280, decode.loss_ce: 0.0268, decode.acc_seg: 70.2255, aux_0.loss_ce: 0.0160, aux_0.acc_seg: 58.3456, aux_1.loss_guidance: 14.6307, loss: 14.6736 2024-03-24 20:08:10,287 - mmseg - INFO - Iter [17050/160000] lr: 3.584e-05, eta: 16:45:30, time: 0.185, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0232, decode.acc_seg: 72.3672, aux_0.loss_ce: 0.0123, aux_0.acc_seg: 62.3156, aux_1.loss_guidance: 14.4705, loss: 14.5061 2024-03-24 20:08:19,551 - mmseg - INFO - Iter [17100/160000] lr: 3.583e-05, eta: 16:43:29, time: 0.185, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0178, decode.acc_seg: 77.6721, aux_0.loss_ce: 0.0083, aux_0.acc_seg: 70.6530, aux_1.loss_guidance: 13.5035, loss: 13.5296 2024-03-24 20:08:28,786 - mmseg - INFO - Iter [17150/160000] lr: 3.582e-05, eta: 16:41:30, time: 0.185, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0503, decode.acc_seg: 64.2207, aux_0.loss_ce: 0.0233, aux_0.acc_seg: 56.1287, aux_1.loss_guidance: 14.3929, loss: 14.4664 2024-03-24 20:08:38,279 - mmseg - INFO - Iter [17200/160000] lr: 3.581e-05, eta: 16:39:33, time: 0.190, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0224, decode.acc_seg: 71.5239, aux_0.loss_ce: 0.0111, aux_0.acc_seg: 61.6107, aux_1.loss_guidance: 13.0429, loss: 13.0764 2024-03-24 20:08:47,628 - mmseg - INFO - Iter [17250/160000] lr: 3.580e-05, eta: 16:37:36, time: 0.187, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0104, decode.acc_seg: 74.6101, aux_0.loss_ce: 0.0060, aux_0.acc_seg: 61.8192, aux_1.loss_guidance: 12.9438, loss: 12.9602 2024-03-24 20:08:56,833 - mmseg - INFO - Iter [17300/160000] lr: 3.578e-05, eta: 16:35:38, time: 0.184, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0218, decode.acc_seg: 72.5850, aux_0.loss_ce: 0.0109, aux_0.acc_seg: 61.5749, aux_1.loss_guidance: 13.8609, loss: 13.8936 2024-03-24 20:09:06,028 - mmseg - INFO - Iter [17350/160000] lr: 3.577e-05, eta: 16:33:40, time: 0.184, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0190, decode.acc_seg: 74.4348, aux_0.loss_ce: 0.0105, aux_0.acc_seg: 65.5598, aux_1.loss_guidance: 12.5817, loss: 12.6113 2024-03-24 20:09:15,399 - mmseg - INFO - Iter [17400/160000] lr: 3.576e-05, eta: 16:31:45, time: 0.187, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0207, decode.acc_seg: 74.1379, aux_0.loss_ce: 0.0098, aux_0.acc_seg: 65.9135, aux_1.loss_guidance: 13.1708, loss: 13.2014 2024-03-24 20:09:25,243 - mmseg - INFO - Iter [17450/160000] lr: 3.575e-05, eta: 16:29:54, time: 0.197, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0192, decode.acc_seg: 73.5871, aux_0.loss_ce: 0.0094, aux_0.acc_seg: 61.7441, aux_1.loss_guidance: 13.5042, loss: 13.5328 2024-03-24 20:09:34,844 - mmseg - INFO - Iter [17500/160000] lr: 3.573e-05, eta: 16:28:02, time: 0.192, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0446, decode.acc_seg: 63.7690, aux_0.loss_ce: 0.0215, aux_0.acc_seg: 58.4952, aux_1.loss_guidance: 13.6492, loss: 13.7153 2024-03-24 20:09:44,717 - mmseg - INFO - Iter [17550/160000] lr: 3.572e-05, eta: 16:26:12, time: 0.197, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0353, decode.acc_seg: 71.8843, aux_0.loss_ce: 0.0168, aux_0.acc_seg: 56.2639, aux_1.loss_guidance: 13.4925, loss: 13.5446 2024-03-24 20:09:54,005 - mmseg - INFO - Iter [17600/160000] lr: 3.571e-05, eta: 16:24:18, time: 0.186, data_time: 0.011, memory: 9280, decode.loss_ce: 0.0163, decode.acc_seg: 71.9979, aux_0.loss_ce: 0.0090, aux_0.acc_seg: 63.1489, aux_1.loss_guidance: 13.2368, loss: 13.2622 2024-03-24 20:10:04,279 - mmseg - INFO - Iter [17650/160000] lr: 3.570e-05, eta: 16:22:33, time: 0.205, data_time: 0.013, memory: 9280, decode.loss_ce: 0.0210, decode.acc_seg: 69.2475, aux_0.loss_ce: 0.0106, aux_0.acc_seg: 62.7424, aux_1.loss_guidance: 13.3519, loss: 13.3836 2024-03-24 20:10:13,263 - mmseg - INFO - Iter [17700/160000] lr: 3.569e-05, eta: 16:20:38, time: 0.180, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0174, decode.acc_seg: 72.6955, aux_0.loss_ce: 0.0093, aux_0.acc_seg: 63.6548, aux_1.loss_guidance: 12.7809, loss: 12.8076 2024-03-24 20:10:22,005 - mmseg - INFO - Iter [17750/160000] lr: 3.567e-05, eta: 16:18:42, time: 0.175, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0165, decode.acc_seg: 69.8978, aux_0.loss_ce: 0.0092, aux_0.acc_seg: 62.1828, aux_1.loss_guidance: 12.8887, loss: 12.9144 2024-03-24 20:10:30,744 - mmseg - INFO - Iter [17800/160000] lr: 3.566e-05, eta: 16:16:46, time: 0.175, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0179, decode.acc_seg: 76.4448, aux_0.loss_ce: 0.0094, aux_0.acc_seg: 71.0558, aux_1.loss_guidance: 13.1130, loss: 13.1404 2024-03-24 20:10:39,289 - mmseg - INFO - Iter [17850/160000] lr: 3.565e-05, eta: 16:14:50, time: 0.171, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0238, decode.acc_seg: 64.5048, aux_0.loss_ce: 0.0117, aux_0.acc_seg: 59.2273, aux_1.loss_guidance: 12.5979, loss: 12.6334 2024-03-24 20:10:47,910 - mmseg - INFO - Iter [17900/160000] lr: 3.564e-05, eta: 16:12:54, time: 0.172, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0208, decode.acc_seg: 75.4642, aux_0.loss_ce: 0.0121, aux_0.acc_seg: 67.7603, aux_1.loss_guidance: 13.3079, loss: 13.3408 2024-03-24 20:10:56,792 - mmseg - INFO - Iter [17950/160000] lr: 3.562e-05, eta: 16:11:01, time: 0.178, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0280, decode.acc_seg: 74.4963, aux_0.loss_ce: 0.0177, aux_0.acc_seg: 67.1730, aux_1.loss_guidance: 14.5393, loss: 14.5851 2024-03-24 20:11:07,214 - mmseg - INFO - Saving checkpoint at 18000 iterations 2024-03-24 20:11:09,287 - mmseg - INFO - Exp name: sctnet-b_seg896x896_8x2_160k_isaid_base_3.24.py 2024-03-24 20:11:09,287 - mmseg - INFO - Iter [18000/160000] lr: 3.561e-05, eta: 16:09:38, time: 0.250, data_time: 0.013, memory: 9280, decode.loss_ce: 0.0141, decode.acc_seg: 66.1149, aux_0.loss_ce: 0.0080, aux_0.acc_seg: 58.4699, aux_1.loss_guidance: 12.5697, loss: 12.5918 2024-03-24 20:24:25,285 - mmseg - INFO - per class results: 2024-03-24 20:24:25,288 - mmseg - INFO - +--------------------+------+-------+ | Class | IoU | Acc | +--------------------+------+-------+ | background | 2.37 | 2.38 | | ship | 0.03 | 0.11 | | store_tank | 2.15 | 10.34 | | baseball_diamond | 0.01 | 0.27 | | tennis_court | 0.0 | 0.02 | | basketball_court | 0.06 | 16.9 | | Ground_Track_Field | 0.03 | 0.5 | | Bridge | 0.01 | 1.16 | | Large_Vehicle | 0.4 | 10.15 | | Small_Vehicle | 0.0 | 0.0 | | Helicopter | 0.0 | 0.0 | | Swimming_pool | 0.0 | 0.14 | | Roundabout | 0.01 | 14.91 | | Soccer_ball_field | 0.0 | 0.02 | | plane | 0.11 | 0.92 | | Harbor | 0.0 | 0.0 | +--------------------+------+-------+ 2024-03-24 20:24:25,288 - mmseg - INFO - Summary: 2024-03-24 20:24:25,288 - mmseg - INFO - +------+------+------+ | aAcc | mIoU | mAcc | +------+------+------+ | 2.36 | 0.32 | 3.61 | +------+------+------+ 2024-03-24 20:24:25,289 - mmseg - INFO - Exp name: sctnet-b_seg896x896_8x2_160k_isaid_base_3.24.py 2024-03-24 20:24:25,289 - mmseg - INFO - Iter(val) [11644] aAcc: 0.0236, mIoU: 0.0032, mAcc: 0.0361, IoU.background: 0.0237, IoU.ship: 0.0003, IoU.store_tank: 0.0215, IoU.baseball_diamond: 0.0001, IoU.tennis_court: 0.0000, IoU.basketball_court: 0.0006, IoU.Ground_Track_Field: 0.0003, IoU.Bridge: 0.0001, IoU.Large_Vehicle: 0.0040, IoU.Small_Vehicle: 0.0000, IoU.Helicopter: 0.0000, IoU.Swimming_pool: 0.0000, IoU.Roundabout: 0.0001, IoU.Soccer_ball_field: 0.0000, IoU.plane: 0.0011, IoU.Harbor: 0.0000, Acc.background: 0.0238, Acc.ship: 0.0011, Acc.store_tank: 0.1034, Acc.baseball_diamond: 0.0027, Acc.tennis_court: 0.0002, Acc.basketball_court: 0.1690, Acc.Ground_Track_Field: 0.0050, Acc.Bridge: 0.0116, Acc.Large_Vehicle: 0.1015, Acc.Small_Vehicle: 0.0000, Acc.Helicopter: 0.0000, Acc.Swimming_pool: 0.0014, Acc.Roundabout: 0.1491, Acc.Soccer_ball_field: 0.0002, Acc.plane: 0.0092, Acc.Harbor: 0.0000 2024-03-24 20:24:35,037 - mmseg - INFO - Iter [18050/160000] lr: 3.560e-05, eta: 17:52:13, time: 16.115, data_time: 15.928, memory: 9280, decode.loss_ce: 0.0142, decode.acc_seg: 77.4210, aux_0.loss_ce: 0.0085, aux_0.acc_seg: 68.9876, aux_1.loss_guidance: 13.3644, loss: 13.3871 2024-03-24 20:24:44,824 - mmseg - INFO - Iter [18100/160000] lr: 3.559e-05, eta: 17:50:09, time: 0.196, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0243, decode.acc_seg: 78.3212, aux_0.loss_ce: 0.0122, aux_0.acc_seg: 67.9839, aux_1.loss_guidance: 13.3217, loss: 13.3582 2024-03-24 20:24:54,728 - mmseg - INFO - Iter [18150/160000] lr: 3.558e-05, eta: 17:48:07, time: 0.198, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0231, decode.acc_seg: 66.9058, aux_0.loss_ce: 0.0123, aux_0.acc_seg: 60.5410, aux_1.loss_guidance: 13.7914, loss: 13.8269 2024-03-24 20:25:04,062 - mmseg - INFO - Iter [18200/160000] lr: 3.556e-05, eta: 17:46:01, time: 0.187, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0127, decode.acc_seg: 73.3570, aux_0.loss_ce: 0.0071, aux_0.acc_seg: 63.0101, aux_1.loss_guidance: 13.3328, loss: 13.3526 2024-03-24 20:25:13,700 - mmseg - INFO - Iter [18250/160000] lr: 3.555e-05, eta: 17:43:58, time: 0.193, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0231, decode.acc_seg: 78.6958, aux_0.loss_ce: 0.0122, aux_0.acc_seg: 66.1712, aux_1.loss_guidance: 14.1011, loss: 14.1364 2024-03-24 20:25:23,198 - mmseg - INFO - Iter [18300/160000] lr: 3.554e-05, eta: 17:41:55, time: 0.190, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0116, decode.acc_seg: 74.4686, aux_0.loss_ce: 0.0064, aux_0.acc_seg: 65.1209, aux_1.loss_guidance: 13.3465, loss: 13.3646 2024-03-24 20:25:33,579 - mmseg - INFO - Iter [18350/160000] lr: 3.553e-05, eta: 17:39:59, time: 0.208, data_time: 0.011, memory: 9280, decode.loss_ce: 0.0161, decode.acc_seg: 70.6440, aux_0.loss_ce: 0.0106, aux_0.acc_seg: 59.6151, aux_1.loss_guidance: 12.9318, loss: 12.9586 2024-03-24 20:25:43,803 - mmseg - INFO - Iter [18400/160000] lr: 3.552e-05, eta: 17:38:02, time: 0.204, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0128, decode.acc_seg: 68.5116, aux_0.loss_ce: 0.0084, aux_0.acc_seg: 57.9344, aux_1.loss_guidance: 12.7326, loss: 12.7537 2024-03-24 20:25:51,768 - mmseg - INFO - Iter [18450/160000] lr: 3.550e-05, eta: 17:35:49, time: 0.159, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0208, decode.acc_seg: 69.1374, aux_0.loss_ce: 0.0096, aux_0.acc_seg: 61.1775, aux_1.loss_guidance: 13.5430, loss: 13.5734 2024-03-24 20:25:59,943 - mmseg - INFO - Iter [18500/160000] lr: 3.549e-05, eta: 17:33:38, time: 0.163, data_time: 0.011, memory: 9280, decode.loss_ce: 0.0283, decode.acc_seg: 75.2112, aux_0.loss_ce: 0.0142, aux_0.acc_seg: 69.3859, aux_1.loss_guidance: 13.4510, loss: 13.4936 2024-03-24 20:26:08,524 - mmseg - INFO - Iter [18550/160000] lr: 3.548e-05, eta: 17:31:31, time: 0.172, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0167, decode.acc_seg: 70.8014, aux_0.loss_ce: 0.0106, aux_0.acc_seg: 62.2791, aux_1.loss_guidance: 13.0663, loss: 13.0937 2024-03-24 20:26:16,397 - mmseg - INFO - Iter [18600/160000] lr: 3.547e-05, eta: 17:29:19, time: 0.157, data_time: 0.021, memory: 9280, decode.loss_ce: 0.0195, decode.acc_seg: 68.8982, aux_0.loss_ce: 0.0102, aux_0.acc_seg: 59.5427, aux_1.loss_guidance: 12.3529, loss: 12.3826 2024-03-24 20:26:24,024 - mmseg - INFO - Iter [18650/160000] lr: 3.545e-05, eta: 17:27:06, time: 0.153, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0090, decode.acc_seg: 72.2447, aux_0.loss_ce: 0.0051, aux_0.acc_seg: 66.0859, aux_1.loss_guidance: 12.2279, loss: 12.2420 2024-03-24 20:26:31,985 - mmseg - INFO - Iter [18700/160000] lr: 3.544e-05, eta: 17:24:56, time: 0.159, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0178, decode.acc_seg: 76.4403, aux_0.loss_ce: 0.0094, aux_0.acc_seg: 68.6302, aux_1.loss_guidance: 13.6331, loss: 13.6603 2024-03-24 20:26:41,496 - mmseg - INFO - Iter [18750/160000] lr: 3.543e-05, eta: 17:22:58, time: 0.190, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0400, decode.acc_seg: 78.2398, aux_0.loss_ce: 0.0166, aux_0.acc_seg: 73.3760, aux_1.loss_guidance: 12.6634, loss: 12.7199 2024-03-24 20:26:51,224 - mmseg - INFO - Iter [18800/160000] lr: 3.542e-05, eta: 17:21:03, time: 0.195, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0150, decode.acc_seg: 75.3224, aux_0.loss_ce: 0.0077, aux_0.acc_seg: 70.2378, aux_1.loss_guidance: 13.3503, loss: 13.3730 2024-03-24 20:27:00,987 - mmseg - INFO - Iter [18850/160000] lr: 3.541e-05, eta: 17:19:08, time: 0.195, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0152, decode.acc_seg: 79.6977, aux_0.loss_ce: 0.0086, aux_0.acc_seg: 73.5329, aux_1.loss_guidance: 13.5463, loss: 13.5700 2024-03-24 20:27:09,135 - mmseg - INFO - Iter [18900/160000] lr: 3.539e-05, eta: 17:17:02, time: 0.163, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0149, decode.acc_seg: 75.2274, aux_0.loss_ce: 0.0071, aux_0.acc_seg: 67.7018, aux_1.loss_guidance: 12.8326, loss: 12.8546 2024-03-24 20:27:16,339 - mmseg - INFO - Iter [18950/160000] lr: 3.538e-05, eta: 17:14:49, time: 0.144, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0113, decode.acc_seg: 70.6652, aux_0.loss_ce: 0.0065, aux_0.acc_seg: 60.2890, aux_1.loss_guidance: 12.6170, loss: 12.6348 2024-03-24 20:27:23,360 - mmseg - INFO - Exp name: sctnet-b_seg896x896_8x2_160k_isaid_base_3.24.py 2024-03-24 20:27:23,361 - mmseg - INFO - Iter [19000/160000] lr: 3.537e-05, eta: 17:12:36, time: 0.140, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0120, decode.acc_seg: 75.6552, aux_0.loss_ce: 0.0067, aux_0.acc_seg: 66.6955, aux_1.loss_guidance: 12.7365, loss: 12.7551 2024-03-24 20:27:30,855 - mmseg - INFO - Iter [19050/160000] lr: 3.536e-05, eta: 17:10:27, time: 0.150, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0301, decode.acc_seg: 82.1297, aux_0.loss_ce: 0.0157, aux_0.acc_seg: 73.6470, aux_1.loss_guidance: 14.2771, loss: 14.3229 2024-03-24 20:27:38,492 - mmseg - INFO - Iter [19100/160000] lr: 3.534e-05, eta: 17:08:19, time: 0.153, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0279, decode.acc_seg: 70.0700, aux_0.loss_ce: 0.0154, aux_0.acc_seg: 60.4857, aux_1.loss_guidance: 13.7342, loss: 13.7775 2024-03-24 20:27:46,294 - mmseg - INFO - Iter [19150/160000] lr: 3.533e-05, eta: 17:06:14, time: 0.156, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0185, decode.acc_seg: 75.4115, aux_0.loss_ce: 0.0107, aux_0.acc_seg: 65.7287, aux_1.loss_guidance: 12.8403, loss: 12.8695 2024-03-24 20:27:54,306 - mmseg - INFO - Iter [19200/160000] lr: 3.532e-05, eta: 17:04:10, time: 0.160, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0146, decode.acc_seg: 69.5804, aux_0.loss_ce: 0.0083, aux_0.acc_seg: 59.2060, aux_1.loss_guidance: 13.0407, loss: 13.0636 2024-03-24 20:28:01,823 - mmseg - INFO - Iter [19250/160000] lr: 3.531e-05, eta: 17:02:04, time: 0.150, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0233, decode.acc_seg: 66.8724, aux_0.loss_ce: 0.0136, aux_0.acc_seg: 57.2800, aux_1.loss_guidance: 13.0439, loss: 13.0808 2024-03-24 20:28:09,861 - mmseg - INFO - Iter [19300/160000] lr: 3.530e-05, eta: 17:00:02, time: 0.161, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0319, decode.acc_seg: 73.6850, aux_0.loss_ce: 0.0174, aux_0.acc_seg: 64.3341, aux_1.loss_guidance: 13.7033, loss: 13.7526 2024-03-24 20:28:18,358 - mmseg - INFO - Iter [19350/160000] lr: 3.528e-05, eta: 16:58:04, time: 0.170, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0213, decode.acc_seg: 73.5198, aux_0.loss_ce: 0.0121, aux_0.acc_seg: 67.9255, aux_1.loss_guidance: 12.9449, loss: 12.9783 2024-03-24 20:28:27,012 - mmseg - INFO - Iter [19400/160000] lr: 3.527e-05, eta: 16:56:08, time: 0.173, data_time: 0.011, memory: 9280, decode.loss_ce: 0.0402, decode.acc_seg: 69.7951, aux_0.loss_ce: 0.0178, aux_0.acc_seg: 65.1085, aux_1.loss_guidance: 13.9417, loss: 13.9997 2024-03-24 20:28:35,037 - mmseg - INFO - Iter [19450/160000] lr: 3.526e-05, eta: 16:54:07, time: 0.161, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0251, decode.acc_seg: 65.8167, aux_0.loss_ce: 0.0138, aux_0.acc_seg: 57.6223, aux_1.loss_guidance: 13.8346, loss: 13.8735 2024-03-24 20:28:42,151 - mmseg - INFO - Iter [19500/160000] lr: 3.525e-05, eta: 16:52:01, time: 0.142, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0154, decode.acc_seg: 69.5714, aux_0.loss_ce: 0.0072, aux_0.acc_seg: 65.1191, aux_1.loss_guidance: 12.7314, loss: 12.7540 2024-03-24 20:28:49,312 - mmseg - INFO - Iter [19550/160000] lr: 3.523e-05, eta: 16:49:55, time: 0.143, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0173, decode.acc_seg: 72.1372, aux_0.loss_ce: 0.0116, aux_0.acc_seg: 59.2282, aux_1.loss_guidance: 13.0938, loss: 13.1228 2024-03-24 20:28:56,621 - mmseg - INFO - Iter [19600/160000] lr: 3.522e-05, eta: 16:47:52, time: 0.146, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0295, decode.acc_seg: 70.8271, aux_0.loss_ce: 0.0127, aux_0.acc_seg: 59.0610, aux_1.loss_guidance: 12.6060, loss: 12.6483 2024-03-24 20:29:04,698 - mmseg - INFO - Iter [19650/160000] lr: 3.521e-05, eta: 16:45:54, time: 0.162, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0240, decode.acc_seg: 73.6788, aux_0.loss_ce: 0.0120, aux_0.acc_seg: 64.5340, aux_1.loss_guidance: 12.7532, loss: 12.7892 2024-03-24 20:29:13,375 - mmseg - INFO - Iter [19700/160000] lr: 3.520e-05, eta: 16:44:01, time: 0.174, data_time: 0.011, memory: 9280, decode.loss_ce: 0.0288, decode.acc_seg: 71.8664, aux_0.loss_ce: 0.0152, aux_0.acc_seg: 64.3383, aux_1.loss_guidance: 13.0049, loss: 13.0489 2024-03-24 20:29:21,675 - mmseg - INFO - Iter [19750/160000] lr: 3.519e-05, eta: 16:42:06, time: 0.166, data_time: 0.011, memory: 9280, decode.loss_ce: 0.0200, decode.acc_seg: 74.9566, aux_0.loss_ce: 0.0105, aux_0.acc_seg: 66.8817, aux_1.loss_guidance: 12.2261, loss: 12.2565 2024-03-24 20:29:30,028 - mmseg - INFO - Iter [19800/160000] lr: 3.517e-05, eta: 16:40:12, time: 0.167, data_time: 0.011, memory: 9280, decode.loss_ce: 0.0227, decode.acc_seg: 77.4799, aux_0.loss_ce: 0.0122, aux_0.acc_seg: 66.3923, aux_1.loss_guidance: 13.2664, loss: 13.3013 2024-03-24 20:29:37,530 - mmseg - INFO - Iter [19850/160000] lr: 3.516e-05, eta: 16:38:13, time: 0.150, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0163, decode.acc_seg: 76.0076, aux_0.loss_ce: 0.0083, aux_0.acc_seg: 70.3437, aux_1.loss_guidance: 12.7810, loss: 12.8055 2024-03-24 20:29:44,823 - mmseg - INFO - Iter [19900/160000] lr: 3.515e-05, eta: 16:36:12, time: 0.146, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0193, decode.acc_seg: 77.8477, aux_0.loss_ce: 0.0115, aux_0.acc_seg: 70.6788, aux_1.loss_guidance: 13.3512, loss: 13.3821 2024-03-24 20:29:52,139 - mmseg - INFO - Iter [19950/160000] lr: 3.514e-05, eta: 16:34:12, time: 0.146, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0200, decode.acc_seg: 70.0770, aux_0.loss_ce: 0.0117, aux_0.acc_seg: 64.8568, aux_1.loss_guidance: 12.9170, loss: 12.9487 2024-03-24 20:29:59,621 - mmseg - INFO - Saving checkpoint at 20000 iterations 2024-03-24 20:30:00,766 - mmseg - INFO - Exp name: sctnet-b_seg896x896_8x2_160k_isaid_base_3.24.py 2024-03-24 20:30:00,767 - mmseg - INFO - Iter [20000/160000] lr: 3.513e-05, eta: 16:32:22, time: 0.173, data_time: 0.009, memory: 9280, decode.loss_ce: 0.0101, decode.acc_seg: 73.1490, aux_0.loss_ce: 0.0061, aux_0.acc_seg: 60.0076, aux_1.loss_guidance: 12.4400, loss: 12.4562 2024-03-24 20:39:47,754 - mmseg - INFO - per class results: 2024-03-24 20:39:47,756 - mmseg - INFO - +--------------------+------+-------+ | Class | IoU | Acc | +--------------------+------+-------+ | background | 5.88 | 5.9 | | ship | 0.03 | 0.22 | | store_tank | 0.4 | 1.57 | | baseball_diamond | 0.01 | 0.25 | | tennis_court | 0.0 | 0.05 | | basketball_court | 0.04 | 16.47 | | Ground_Track_Field | 0.01 | 0.11 | | Bridge | 0.01 | 0.62 | | Large_Vehicle | 0.21 | 5.67 | | Small_Vehicle | 0.0 | 0.0 | | Helicopter | 0.0 | 0.0 | | Swimming_pool | 0.0 | 0.28 | | Roundabout | 0.0 | 1.94 | | Soccer_ball_field | 0.01 | 0.05 | | plane | 0.01 | 0.13 | | Harbor | 0.0 | 0.0 | +--------------------+------+-------+ 2024-03-24 20:39:47,756 - mmseg - INFO - Summary: 2024-03-24 20:39:47,756 - mmseg - INFO - +------+------+------+ | aAcc | mIoU | mAcc | +------+------+------+ | 5.75 | 0.41 | 2.08 | +------+------+------+ 2024-03-24 20:39:47,758 - mmseg - INFO - Exp name: sctnet-b_seg896x896_8x2_160k_isaid_base_3.24.py 2024-03-24 20:39:47,758 - mmseg - INFO - Iter(val) [11644] aAcc: 0.0575, mIoU: 0.0041, mAcc: 0.0208, IoU.background: 0.0588, IoU.ship: 0.0003, IoU.store_tank: 0.0040, IoU.baseball_diamond: 0.0001, IoU.tennis_court: 0.0000, IoU.basketball_court: 0.0004, IoU.Ground_Track_Field: 0.0001, IoU.Bridge: 0.0001, IoU.Large_Vehicle: 0.0021, IoU.Small_Vehicle: 0.0000, IoU.Helicopter: 0.0000, IoU.Swimming_pool: 0.0000, IoU.Roundabout: 0.0000, IoU.Soccer_ball_field: 0.0001, IoU.plane: 0.0001, IoU.Harbor: 0.0000, Acc.background: 0.0590, Acc.ship: 0.0022, Acc.store_tank: 0.0157, Acc.baseball_diamond: 0.0025, Acc.tennis_court: 0.0005, Acc.basketball_court: 0.1647, Acc.Ground_Track_Field: 0.0011, Acc.Bridge: 0.0062, Acc.Large_Vehicle: 0.0567, Acc.Small_Vehicle: 0.0000, Acc.Helicopter: 0.0000, Acc.Swimming_pool: 0.0028, Acc.Roundabout: 0.0194, Acc.Soccer_ball_field: 0.0005, Acc.plane: 0.0013, Acc.Harbor: 0.0000 2024-03-24 20:39:54,824 - mmseg - INFO - Iter [20050/160000] lr: 3.511e-05, eta: 17:38:39, time: 11.881, data_time: 11.748, memory: 9280, decode.loss_ce: 0.0271, decode.acc_seg: 72.9078, aux_0.loss_ce: 0.0151, aux_0.acc_seg: 63.2260, aux_1.loss_guidance: 13.7699, loss: 13.8121 2024-03-24 20:40:01,536 - mmseg - INFO - Iter [20100/160000] lr: 3.510e-05, eta: 17:36:25, time: 0.134, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0349, decode.acc_seg: 72.2494, aux_0.loss_ce: 0.0174, aux_0.acc_seg: 58.7314, aux_1.loss_guidance: 13.4298, loss: 13.4821 2024-03-24 20:40:08,168 - mmseg - INFO - Iter [20150/160000] lr: 3.509e-05, eta: 17:34:11, time: 0.133, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0271, decode.acc_seg: 69.9424, aux_0.loss_ce: 0.0155, aux_0.acc_seg: 64.9784, aux_1.loss_guidance: 13.1889, loss: 13.2314 2024-03-24 20:40:15,059 - mmseg - INFO - Iter [20200/160000] lr: 3.508e-05, eta: 17:32:00, time: 0.138, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0280, decode.acc_seg: 74.5151, aux_0.loss_ce: 0.0119, aux_0.acc_seg: 70.1992, aux_1.loss_guidance: 13.4592, loss: 13.4991 2024-03-24 20:40:21,812 - mmseg - INFO - Iter [20250/160000] lr: 3.506e-05, eta: 17:29:48, time: 0.135, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0208, decode.acc_seg: 61.9352, aux_0.loss_ce: 0.0114, aux_0.acc_seg: 52.3284, aux_1.loss_guidance: 12.1388, loss: 12.1710 2024-03-24 20:40:28,412 - mmseg - INFO - Iter [20300/160000] lr: 3.505e-05, eta: 17:27:36, time: 0.132, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0165, decode.acc_seg: 73.1221, aux_0.loss_ce: 0.0101, aux_0.acc_seg: 65.9986, aux_1.loss_guidance: 12.6008, loss: 12.6274 2024-03-24 20:40:35,414 - mmseg - INFO - Iter [20350/160000] lr: 3.504e-05, eta: 17:25:27, time: 0.140, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0171, decode.acc_seg: 70.2795, aux_0.loss_ce: 0.0081, aux_0.acc_seg: 64.4561, aux_1.loss_guidance: 12.6169, loss: 12.6420 2024-03-24 20:40:42,180 - mmseg - INFO - Iter [20400/160000] lr: 3.503e-05, eta: 17:23:17, time: 0.135, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0242, decode.acc_seg: 73.9463, aux_0.loss_ce: 0.0142, aux_0.acc_seg: 60.8973, aux_1.loss_guidance: 13.4401, loss: 13.4786 2024-03-24 20:40:48,962 - mmseg - INFO - Iter [20450/160000] lr: 3.502e-05, eta: 17:21:08, time: 0.136, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0240, decode.acc_seg: 79.9776, aux_0.loss_ce: 0.0142, aux_0.acc_seg: 70.2329, aux_1.loss_guidance: 12.3695, loss: 12.4077 2024-03-24 20:40:55,716 - mmseg - INFO - Iter [20500/160000] lr: 3.500e-05, eta: 17:18:59, time: 0.135, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0303, decode.acc_seg: 76.2559, aux_0.loss_ce: 0.0141, aux_0.acc_seg: 66.2511, aux_1.loss_guidance: 13.8302, loss: 13.8745 2024-03-24 20:41:02,414 - mmseg - INFO - Iter [20550/160000] lr: 3.499e-05, eta: 17:16:51, time: 0.134, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0244, decode.acc_seg: 72.7172, aux_0.loss_ce: 0.0117, aux_0.acc_seg: 66.5777, aux_1.loss_guidance: 13.4836, loss: 13.5197 2024-03-24 20:41:09,503 - mmseg - INFO - Iter [20600/160000] lr: 3.498e-05, eta: 17:14:46, time: 0.142, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0129, decode.acc_seg: 73.2498, aux_0.loss_ce: 0.0075, aux_0.acc_seg: 64.2356, aux_1.loss_guidance: 12.6950, loss: 12.7154 2024-03-24 20:41:16,504 - mmseg - INFO - Iter [20650/160000] lr: 3.497e-05, eta: 17:12:40, time: 0.140, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0256, decode.acc_seg: 76.4289, aux_0.loss_ce: 0.0121, aux_0.acc_seg: 68.7055, aux_1.loss_guidance: 12.6112, loss: 12.6489 2024-03-24 20:41:23,374 - mmseg - INFO - Iter [20700/160000] lr: 3.495e-05, eta: 17:10:35, time: 0.137, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0222, decode.acc_seg: 78.8578, aux_0.loss_ce: 0.0122, aux_0.acc_seg: 71.5991, aux_1.loss_guidance: 13.3373, loss: 13.3717 2024-03-24 20:41:30,048 - mmseg - INFO - Iter [20750/160000] lr: 3.494e-05, eta: 17:08:28, time: 0.133, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0180, decode.acc_seg: 71.0146, aux_0.loss_ce: 0.0102, aux_0.acc_seg: 63.0711, aux_1.loss_guidance: 12.9969, loss: 13.0252 2024-03-24 20:41:36,869 - mmseg - INFO - Iter [20800/160000] lr: 3.493e-05, eta: 17:06:24, time: 0.136, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0177, decode.acc_seg: 75.9379, aux_0.loss_ce: 0.0123, aux_0.acc_seg: 68.2311, aux_1.loss_guidance: 12.8590, loss: 12.8890 2024-03-24 20:41:43,674 - mmseg - INFO - Iter [20850/160000] lr: 3.492e-05, eta: 17:04:19, time: 0.136, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0186, decode.acc_seg: 71.8939, aux_0.loss_ce: 0.0100, aux_0.acc_seg: 62.3649, aux_1.loss_guidance: 13.0207, loss: 13.0493 2024-03-24 20:41:50,400 - mmseg - INFO - Iter [20900/160000] lr: 3.491e-05, eta: 17:02:15, time: 0.134, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0206, decode.acc_seg: 74.2704, aux_0.loss_ce: 0.0115, aux_0.acc_seg: 61.3093, aux_1.loss_guidance: 12.1948, loss: 12.2269 2024-03-24 20:41:57,240 - mmseg - INFO - Iter [20950/160000] lr: 3.489e-05, eta: 17:00:12, time: 0.137, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0157, decode.acc_seg: 71.4504, aux_0.loss_ce: 0.0089, aux_0.acc_seg: 61.2081, aux_1.loss_guidance: 12.7608, loss: 12.7854 2024-03-24 20:42:05,099 - mmseg - INFO - Exp name: sctnet-b_seg896x896_8x2_160k_isaid_base_3.24.py 2024-03-24 20:42:05,099 - mmseg - INFO - Iter [21000/160000] lr: 3.488e-05, eta: 16:58:16, time: 0.157, data_time: 0.010, memory: 9280, decode.loss_ce: 0.0134, decode.acc_seg: 78.4030, aux_0.loss_ce: 0.0074, aux_0.acc_seg: 68.7988, aux_1.loss_guidance: 13.4154, loss: 13.4361 2024-03-24 20:42:12,173 - mmseg - INFO - Iter [21050/160000] lr: 3.487e-05, eta: 16:56:16, time: 0.141, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0169, decode.acc_seg: 73.0050, aux_0.loss_ce: 0.0099, aux_0.acc_seg: 60.6026, aux_1.loss_guidance: 13.3542, loss: 13.3810 2024-03-24 20:42:19,043 - mmseg - INFO - Iter [21100/160000] lr: 3.486e-05, eta: 16:54:15, time: 0.137, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0546, decode.acc_seg: 73.5625, aux_0.loss_ce: 0.0220, aux_0.acc_seg: 64.9523, aux_1.loss_guidance: 12.7810, loss: 12.8576 2024-03-24 20:42:25,669 - mmseg - INFO - Iter [21150/160000] lr: 3.484e-05, eta: 16:52:12, time: 0.132, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0306, decode.acc_seg: 77.6546, aux_0.loss_ce: 0.0146, aux_0.acc_seg: 71.0103, aux_1.loss_guidance: 12.8572, loss: 12.9024 2024-03-24 20:42:32,518 - mmseg - INFO - Iter [21200/160000] lr: 3.483e-05, eta: 16:50:12, time: 0.137, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0178, decode.acc_seg: 68.0558, aux_0.loss_ce: 0.0099, aux_0.acc_seg: 59.8986, aux_1.loss_guidance: 12.0873, loss: 12.1150 2024-03-24 20:42:39,223 - mmseg - INFO - Iter [21250/160000] lr: 3.482e-05, eta: 16:48:12, time: 0.134, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0172, decode.acc_seg: 73.3078, aux_0.loss_ce: 0.0087, aux_0.acc_seg: 61.5834, aux_1.loss_guidance: 12.5742, loss: 12.6000 2024-03-24 20:42:45,762 - mmseg - INFO - Iter [21300/160000] lr: 3.481e-05, eta: 16:46:10, time: 0.131, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0238, decode.acc_seg: 75.7961, aux_0.loss_ce: 0.0132, aux_0.acc_seg: 66.9552, aux_1.loss_guidance: 13.5851, loss: 13.6221 2024-03-24 20:42:52,576 - mmseg - INFO - Iter [21350/160000] lr: 3.480e-05, eta: 16:44:12, time: 0.136, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0248, decode.acc_seg: 78.5100, aux_0.loss_ce: 0.0124, aux_0.acc_seg: 69.4712, aux_1.loss_guidance: 12.9148, loss: 12.9520 2024-03-24 20:42:59,402 - mmseg - INFO - Iter [21400/160000] lr: 3.478e-05, eta: 16:42:13, time: 0.137, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0195, decode.acc_seg: 75.7340, aux_0.loss_ce: 0.0102, aux_0.acc_seg: 63.8048, aux_1.loss_guidance: 13.4661, loss: 13.4958 2024-03-24 20:43:05,931 - mmseg - INFO - Iter [21450/160000] lr: 3.477e-05, eta: 16:40:14, time: 0.131, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0155, decode.acc_seg: 79.4293, aux_0.loss_ce: 0.0087, aux_0.acc_seg: 71.1611, aux_1.loss_guidance: 13.4193, loss: 13.4434 2024-03-24 20:43:12,735 - mmseg - INFO - Iter [21500/160000] lr: 3.476e-05, eta: 16:38:16, time: 0.136, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0233, decode.acc_seg: 76.5764, aux_0.loss_ce: 0.0115, aux_0.acc_seg: 68.1547, aux_1.loss_guidance: 12.4211, loss: 12.4559 2024-03-24 20:43:19,498 - mmseg - INFO - Iter [21550/160000] lr: 3.475e-05, eta: 16:36:19, time: 0.135, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0173, decode.acc_seg: 76.1227, aux_0.loss_ce: 0.0098, aux_0.acc_seg: 68.2834, aux_1.loss_guidance: 12.5307, loss: 12.5577 2024-03-24 20:43:26,290 - mmseg - INFO - Iter [21600/160000] lr: 3.474e-05, eta: 16:34:23, time: 0.136, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0319, decode.acc_seg: 76.6097, aux_0.loss_ce: 0.0158, aux_0.acc_seg: 62.4583, aux_1.loss_guidance: 12.6842, loss: 12.7320 2024-03-24 20:43:33,312 - mmseg - INFO - Iter [21650/160000] lr: 3.472e-05, eta: 16:32:28, time: 0.140, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0311, decode.acc_seg: 69.2280, aux_0.loss_ce: 0.0156, aux_0.acc_seg: 62.4980, aux_1.loss_guidance: 13.5851, loss: 13.6318 2024-03-24 20:43:40,066 - mmseg - INFO - Iter [21700/160000] lr: 3.471e-05, eta: 16:30:33, time: 0.135, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0190, decode.acc_seg: 71.1211, aux_0.loss_ce: 0.0094, aux_0.acc_seg: 63.4095, aux_1.loss_guidance: 13.1572, loss: 13.1856 2024-03-24 20:43:46,908 - mmseg - INFO - Iter [21750/160000] lr: 3.470e-05, eta: 16:28:38, time: 0.137, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0115, decode.acc_seg: 67.0150, aux_0.loss_ce: 0.0066, aux_0.acc_seg: 56.4521, aux_1.loss_guidance: 12.6176, loss: 12.6357 2024-03-24 20:43:53,883 - mmseg - INFO - Iter [21800/160000] lr: 3.469e-05, eta: 16:26:45, time: 0.139, data_time: 0.008, memory: 9280, decode.loss_ce: 0.0127, decode.acc_seg: 79.8896, aux_0.loss_ce: 0.0074, aux_0.acc_seg: 68.0011, aux_1.loss_guidance: 12.9918, loss: 13.0119 2024-03-24 20:44:00,738 - mmseg - INFO - Iter [21850/160000] lr: 3.467e-05, eta: 16:24:51, time: 0.137, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0118, decode.acc_seg: 75.4215, aux_0.loss_ce: 0.0073, aux_0.acc_seg: 63.1328, aux_1.loss_guidance: 12.7411, loss: 12.7602 2024-03-24 20:44:07,319 - mmseg - INFO - Iter [21900/160000] lr: 3.466e-05, eta: 16:22:57, time: 0.132, data_time: 0.007, memory: 9280, decode.loss_ce: 0.0173, decode.acc_seg: 75.6592, aux_0.loss_ce: 0.0117, aux_0.acc_seg: 63.8608, aux_1.loss_guidance: 13.4428, loss: 13.4717 2024-03-24 20:44:13,104 - mmseg - INFO - Iter [21950/160000] lr: 3.465e-05, eta: 16:20:57, time: 0.116, data_time: 0.006, memory: 9280, decode.loss_ce: 0.0257, decode.acc_seg: 76.5094, aux_0.loss_ce: 0.0128, aux_0.acc_seg: 68.0048, aux_1.loss_guidance: 13.2844, loss: 13.3230