Open BinXia123 opened 3 months ago
作者您好，我想问一下为什么会出现tp,fp_loc同时过高现象，是需要调哪些参数吗，以下是我的参数配置以及相关输出结果 hyp:
lr0: 0.001 lrf: 1.0 hsv_h: 0.015 hsv_s: 0.7 hsv_v: 0.4 scale: 0.9 translate: 0.1 fliplr: 0.5 mosaic: 1.0 mixup: 0.1 warmup_epochs: 0 no_aug_epochs: 0 burn_epochs: 0
Model: depth_multiple: 0.33 # model depth multiple width_multiple: 0.50 # layer channel multiple Backbone: name: 'YoloV5' activation: 'SiLU' Neck: name: 'YoloV5' in_channels: [256, 512, 1024] out_channels: [256, 512, 1024] activation: 'SiLU' Head: name: 'YoloV5' activation: 'SiLU' anchors: [[10,13, 16,30, 33,23],[30,61, 62,45, 59,119],[116,90, 156,198, 373,326]] # P5/32] Loss: type: 'ComputeLoss' cls: 0.3 obj: 0.7 box: 0.05 anchor_t: 4.0
SSOD: train_domain: True nms_conf_thres: 0.1
nms_iou_thres: 0.7 teacher_loss_weight: 0.5 cls_loss_weight: 0.3 box_loss_weight: 0.05 obj_loss_weight: 0.7 loss_type: 'ComputeStudentMatchLoss' ignore_thres_low: 0.4
ignore_thres_high: 0.65 uncertain_aug: True use_ota: False multi_label: False ignore_obj: False pseudo_label_with_obj: True pseudo_label_with_bbox: True pseudo_label_with_cls: False with_da_loss: False da_loss_weights: 0.01 epoch_adaptor: True resample_high_percent: 0.25 resample_low_percent: 0.99 ema_rate: 0.999 cosine_ema: True imitate_teacher: False
ssod_hyp: with_gt: False mosaic: 1.0 cutout: 0.5 autoaugment: 0.5 scale: 0.8 degrees: 0.0 shear: 0.0
作者您好，我想问一下为什么会出现tp,fp_loc同时过高现象，是需要调哪些参数吗，以下是我的参数配置以及相关输出结果
hyp:
lr0: 0.001 lrf: 1.0 hsv_h: 0.015 hsv_s: 0.7 hsv_v: 0.4 scale: 0.9 translate: 0.1 fliplr: 0.5 mosaic: 1.0 mixup: 0.1 warmup_epochs: 0 no_aug_epochs: 0 burn_epochs: 0
Model: depth_multiple: 0.33 # model depth multiple width_multiple: 0.50 # layer channel multiple Backbone: name: 'YoloV5' activation: 'SiLU' Neck: name: 'YoloV5' in_channels: [256, 512, 1024] out_channels: [256, 512, 1024] activation: 'SiLU' Head: name: 'YoloV5' activation: 'SiLU' anchors: [[10,13, 16,30, 33,23],[30,61, 62,45, 59,119],[116,90, 156,198, 373,326]] # P5/32] Loss: type: 'ComputeLoss' cls: 0.3 obj: 0.7 box: 0.05 anchor_t: 4.0
SSOD: train_domain: True nms_conf_thres: 0.1
nms_iou_thres: 0.7 teacher_loss_weight: 0.5 cls_loss_weight: 0.3 box_loss_weight: 0.05 obj_loss_weight: 0.7 loss_type: 'ComputeStudentMatchLoss' ignore_thres_low: 0.4
ignore_thres_high: 0.65 uncertain_aug: True use_ota: False multi_label: False ignore_obj: False pseudo_label_with_obj: True pseudo_label_with_bbox: True pseudo_label_with_cls: False with_da_loss: False da_loss_weights: 0.01 epoch_adaptor: True resample_high_percent: 0.25 resample_low_percent: 0.99 ema_rate: 0.999 cosine_ema: True imitate_teacher: False
ssod_hyp: with_gt: False mosaic: 1.0 cutout: 0.5 autoaugment: 0.5 scale: 0.8 degrees: 0.0 shear: 0.0