xiaolisarah
commented
6 years ago save_weight_only is too large to save,i just want save_best_only,here are my code callbacks = [ keras.callbacks.TensorBoard(log_dir=self.log_dir, histogram_freq=0, write_graph=True, write_images=False),
keras.callbacks.ModelCheckpoint(self.checkpoint_path,
# verbose=0, save_weights_only=True),
keras.callbacks.ModelCheckpoint(self.checkpoint_path,monitor='val_loss',
verbose=1, save_best_only=True, mode='auto'),
]
bahmed11
TiongSun
angelbaowei
ashnair1
NorthLatitudeOne
/home/jgq/anaconda3/envs/python34/bin/python /media/jgq/GXL/project/2018/DDIM-OD/train_ddim.py train --dataset=data_process --weight=coco Using TensorFlow backend. Weights: coco Dataset: data_process Logs: /media/jgq/GXL/project/2018/DDIM-OD/logs
Configurations: BACKBONE resnet101 BACKBONE_SHAPES [[256 256] [128 128] [ 64 64] [ 32 32] [ 16 16]] BACKBONE_STRIDES [4, 8, 16, 32, 64] BATCH_SIZE 1 BBOX_STD_DEV [0.1 0.1 0.2 0.2] DETECTION_MAX_INSTANCES 100 DETECTION_MIN_CONFIDENCE 0.9 DETECTION_NMS_THRESHOLD 0.3 GPU_COUNT 1 IMAGES_PER_GPU 1 IMAGE_MAX_DIM 1024 IMAGE_MIN_DIM 800 IMAGE_PADDING True IMAGE_SHAPE [1024 1024 3] LEARNING_MOMENTUM 0.9 LEARNING_RATE 0.001 MASK_POOL_SIZE 14 MASK_SHAPE [28, 28] MAX_GT_INSTANCES 100 MEAN_PIXEL [123.7 116.8 103.9] MINI_MASK_SHAPE (56, 56) NAME bioisland NUM_CLASSES 5 POOL_SIZE 7 POST_NMS_ROIS_INFERENCE 1000 POST_NMS_ROIS_TRAINING 2000 ROI_POSITIVE_RATIO 0.33 RPN_ANCHOR_RATIOS [0.5, 1, 2] RPN_ANCHOR_SCALES (32, 64, 128, 256, 512) RPN_ANCHOR_STRIDE 1 RPN_BBOX_STD_DEV [0.1 0.1 0.2 0.2] RPN_NMS_THRESHOLD 0.7 RPN_TRAIN_ANCHORS_PER_IMAGE 256 STEPS_PER_EPOCH 100 TRAIN_ROIS_PER_IMAGE 200 USE_MINI_MASK True USE_RPN_ROIS True VALIDATION_STEPS 5 WEIGHT_DECAY 0.0001
Loading weights /media/jgq/GXL/project/2018/DDIM-OD/mask_rcnn_coco.h5 2018-05-08 09:34:54.784447: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations. 2018-05-08 09:34:54.784468: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations. 2018-05-08 09:34:54.784486: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations. 2018-05-08 09:34:54.784489: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations. 2018-05-08 09:34:54.784506: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations. 2018-05-08 09:34:54.940052: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:893] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2018-05-08 09:34:54.940281: I tensorflow/core/common_runtime/gpu/gpu_device.cc:955] Found device 0 with properties: name: GeForce GTX 1080 major: 6 minor: 1 memoryClockRate (GHz) 1.835 pciBusID 0000:01:00.0 Total memory: 7.92GiB Free memory: 7.41GiB 2018-05-08 09:34:54.940291: I tensorflow/core/common_runtime/gpu/gpu_device.cc:976] DMA: 0 2018-05-08 09:34:54.940295: I tensorflow/core/common_runtime/gpu/gpu_device.cc:986] 0: Y 2018-05-08 09:34:54.940300: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1045] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GTX 1080, pci bus id: 0000:01:00.0) starting prepare train data starting prepare val data Training network heads
Starting at epoch 0. LR=0.001
Checkpoint Path: /media/jgq/GXL/project/2018/DDIM-OD/logs/bioisland20180508T0934/mask_rcnnbioisland{epoch:04d}.h5 Selecting layers to train fpn_c5p5 (Conv2D) fpn_c4p4 (Conv2D) fpn_c3p3 (Conv2D) fpn_c2p2 (Conv2D) fpn_p5 (Conv2D) fpn_p2 (Conv2D) fpn_p3 (Conv2D) fpn_p4 (Conv2D) In model: rpn_model rpn_conv_shared (Conv2D) rpn_class_raw (Conv2D) rpn_bbox_pred (Conv2D) mrcnn_mask_conv1 (TimeDistributed) mrcnn_mask_bn1 (TimeDistributed) mrcnn_mask_conv2 (TimeDistributed) mrcnn_mask_bn2 (TimeDistributed) mrcnn_class_conv1 (TimeDistributed) mrcnn_class_bn1 (TimeDistributed) mrcnn_mask_conv3 (TimeDistributed) mrcnn_mask_bn3 (TimeDistributed) mrcnn_class_conv2 (TimeDistributed) mrcnn_class_bn2 (TimeDistributed) mrcnn_mask_conv4 (TimeDistributed) mrcnn_mask_bn4 (TimeDistributed) mrcnn_bbox_fc (TimeDistributed) mrcnn_mask_deconv (TimeDistributed) mrcnn_class_logits (TimeDistributed) mrcnn_mask (TimeDistributed) /home/jgq/anaconda3/envs/python34/lib/python3.4/site-packages/tensorflow/python/ops/gradients_impl.py:95: UserWarning: Converting sparse IndexedSlices to a dense Tensor of unknown shape. This may consume a large amount of memory. "Converting sparse IndexedSlices to a dense Tensor of unknown shape. " /home/jgq/anaconda3/envs/python34/lib/python3.4/site-packages/keras/engine/training.py:1987: UserWarning: Using a generator with
train(model)
File "/media/jgq/GXL/project/2018/DDIM-OD/train_ddim.py", line 213, in train
layers='heads')
File "/media/jgq/GXL/project/2018/DDIM-OD/model.py", line 2252, in train
use_multiprocessing=True,
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/site-packages/keras/legacy/interfaces.py", line 87, in wrapper
return func(*args, **kwargs)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/site-packages/keras/engine/training.py", line 2082, in fit_generator
callbacks.on_epoch_end(epoch, epoch_logs)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/site-packages/keras/callbacks.py", line 77, in on_epoch_end
callback.on_epoch_end(epoch, logs)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/site-packages/keras/callbacks.py", line 417, in on_epoch_end
self.model.save(filepath, overwrite=True)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/site-packages/keras/engine/topology.py", line 2553, in save
save_model(self, filepath, overwrite, include_optimizer)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/site-packages/keras/models.py", line 107, in save_model
'config': model.get_config()
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/site-packages/keras/engine/topology.py", line 2394, in get_config
return copy.deepcopy(config)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 226, in _deepcopy_tuple
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 226, in _deepcopy_tuple
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 219, in _deepcopy_list
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 226, in _deepcopy_tuple
y.append(deepcopy(a, memo))
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 300, in _reconstruct
state = deepcopy(state, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 246, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/home/jgq/anaconda3/envs/python34/lib/python3.4/copy.py", line 309, in _reconstruct
y.dict.update(state)
AttributeError: 'NoneType' object has no attribute 'update'
use_multiprocessing=Trueand multiple workers may duplicate your data. Please consider using thekeras.utils.Sequence class. UserWarning('Using a generator withuse_multiprocessing=True`' Epoch 1/10 /home/jgq/anaconda3/envs/python34/lib/python3.4/site-packages/scipy/ndimage/interpolation.py:616: UserWarning: From scipy 0.13.0, the output shape of zoom() is calculated with round() instead of int() - for these inputs the size of the returned array has changed. "the returned array has changed.", UserWarning) /home/jgq/anaconda3/envs/python34/lib/python3.4/site-packages/scipy/ndimage/interpolation.py:616: UserWarning: From scipy 0.13.0, the output shape of zoom() is calculated with round() instead of int() - for these inputs the size of the returned array has changed. "the returned array has changed.", UserWarning) 1/100 [..............................] - ETA: 410s - loss: 4.8978 - rpn_class_loss: 0.0816 - rpn_bbox_loss: 3.0647 - mrcnn_class_loss: 1.7514 - mrcnn_bbox_loss: 0.0000e+00 - mrcnn_mask_loss: 0.0000e+00 2/100 [..............................] - ETA: 227s - loss: 4.6023 - rpn_class_loss: 0.0419 - rpn_bbox_loss: 1.9728 - mrcnn_class_loss: 1.4380 - mrcnn_bbox_loss: 0.6925 - mrcnn_mask_loss: 0.45713/100 [..............................] - ETA: 167s - loss: 3.8355 - rpn_class_loss: 0.0296 - rpn_bbox_loss: 1.4527 - mrcnn_class_loss: 1.1266 - mrcnn_bbox_loss: 0.7389 - mrcnn_mask_loss: 0.4877 4/100 [>.............................] - ETA: 136s - loss: 3.3419 - rpn_class_loss: 0.0360 - rpn_bbox_loss: 1.1600 - mrcnn_class_loss: 0.9058 - mrcnn_bbox_loss: 0.7312 - mrcnn_mask_loss: 0.5088 5/100 [>.............................] - ETA: 117s - loss: 3.5668 - rpn_class_loss: 0.0351 - rpn_bbox_loss: 1.8142 - mrcnn_class_loss: 0.7255 - mrcnn_bbox_loss: 0.5849 - mrcnn_mask_loss: 0.4071 6/100 [>.............................] - ETA: 105s - loss: 3.8032 - rpn_class_loss: 0.0336 - rpn_bbox_loss: 2.3381 - mrcnn_class_loss: 0.6048 - mrcnn_bbox_loss: 0.4874 - mrcnn_mask_loss: 0.3392 7/100 [=>............................] - ETA: 95s - loss: 3.6564 - rpn_class_loss: 0.0297 - rpn_bbox_loss: 2.1107 - mrcnn_class_loss: 0.5572 - mrcnn_bbox_loss: 0.5503 - mrcnn_mask_loss: 0.4085 8/100 [=>............................] - ETA: 89s - loss: 3.8016 - rpn_class_loss: 0.0435 - rpn_bbox_loss: 2.4317 - mrcnn_class_loss: 0.4876 - mrcnn_bbox_loss: 0.4815 - mrcnn_mask_loss: 0.3574 9/100 [=>............................] - ETA: 83s - loss: 3.6490 - rpn_class_loss: 0.0400 - rpn_bbox_loss: 2.2238 - mrcnn_class_loss: 0.4707 - mrcnn_bbox_loss: 0.5142 - mrcnn_mask_loss: 0.4003 10/100 [==>...........................] - ETA: 78s - loss: 3.8509 - rpn_class_loss: 0.0417 - rpn_bbox_loss: 2.3887 - mrcnn_class_loss: 0.4257 - mrcnn_bbox_loss: 0.5512 - mrcnn_mask_loss: 0.4436 11/100 [==>...........................] - ETA: 75s - loss: 3.7439 - rpn_class_loss: 0.0435 - rpn_bbox_loss: 2.2545 - mrcnn_class_loss: 0.4008 - mrcnn_bbox_loss: 0.5820 - mrcnn_mask_loss: 0.4631 12/100 [==>...........................] - ETA: 71s - loss: 3.6049 - rpn_class_loss: 0.0412 - rpn_bbox_loss: 2.0746 - mrcnn_class_loss: 0.3779 - mrcnn_bbox_loss: 0.6244 - mrcnn_mask_loss: 0.4869 13/100 [==>...........................] - ETA: 68s - loss: 3.5330 - rpn_class_loss: 0.0392 - rpn_bbox_loss: 1.9521 - mrcnn_class_loss: 0.3714 - mrcnn_bbox_loss: 0.6446 - mrcnn_mask_loss: 0.5257 14/100 [===>..........................] - ETA: 66s - loss: 3.4339 - rpn_class_loss: 0.0376 - rpn_bbox_loss: 1.8234 - mrcnn_class_loss: 0.3529 - mrcnn_bbox_loss: 0.6849 - mrcnn_mask_loss: 0.5351 15/100 [===>..........................] - ETA: 64s - loss: 3.2090 - rpn_class_loss: 0.0370 - rpn_bbox_loss: 1.7039 - mrcnn_class_loss: 0.3294 - mrcnn_bbox_loss: 0.6392 - mrcnn_mask_loss: 0.4994 16/100 [===>..........................] - ETA: 62s - loss: 3.1388 - rpn_class_loss: 0.0368 - rpn_bbox_loss: 1.6199 - mrcnn_class_loss: 0.3278 - mrcnn_bbox_loss: 0.6515 - mrcnn_mask_loss: 0.5028 17/100 [====>.........................] - ETA: 60s - loss: 3.0607 - rpn_class_loss: 0.0352 - rpn_bbox_loss: 1.5324 - mrcnn_class_loss: 0.3310 - mrcnn_bbox_loss: 0.6547 - mrcnn_mask_loss: 0.5075 18/100 [====>.........................] - ETA: 59s - loss: 3.0089 - rpn_class_loss: 0.0356 - rpn_bbox_loss: 1.4572 - mrcnn_class_loss: 0.3307 - mrcnn_bbox_loss: 0.6677 - mrcnn_mask_loss: 0.5178 19/100 [====>.........................] - ETA: 57s - loss: 2.9409 - rpn_class_loss: 0.0343 - rpn_bbox_loss: 1.3839 - mrcnn_class_loss: 0.3221 - mrcnn_bbox_loss: 0.6661 - mrcnn_mask_loss: 0.5346 20/100 [=====>........................] - ETA: 56s - loss: 2.9232 - rpn_class_loss: 0.0366 - rpn_bbox_loss: 1.3771 - mrcnn_class_loss: 0.3072 - mrcnn_bbox_loss: 0.6509 - mrcnn_mask_loss: 0.5513 21/100 [=====>........................] - ETA: 54s - loss: 3.0412 - rpn_class_loss: 0.0366 - rpn_bbox_loss: 1.5670 - mrcnn_class_loss: 0.2925 - mrcnn_bbox_loss: 0.6199 - mrcnn_mask_loss: 0.5251 22/100 [=====>........................] - ETA: 53s - loss: 2.9590 - rpn_class_loss: 0.0355 - rpn_bbox_loss: 1.5090 - mrcnn_class_loss: 0.2831 - mrcnn_bbox_loss: 0.6127 - mrcnn_mask_loss: 0.5186 23/100 [=====>........................] - ETA: 52s - loss: 2.9014 - rpn_class_loss: 0.0344 - rpn_bbox_loss: 1.4518 - mrcnn_class_loss: 0.2767 - mrcnn_bbox_loss: 0.6211 - mrcnn_mask_loss: 0.5174 24/100 [======>.......................] - ETA: 51s - loss: 2.9078 - rpn_class_loss: 0.0335 - rpn_bbox_loss: 1.4113 - mrcnn_class_loss: 0.2771 - mrcnn_bbox_loss: 0.6342 - mrcnn_mask_loss: 0.5518 25/100 [======>.......................] - ETA: 50s - loss: 2.8614 - rpn_class_loss: 0.0322 - rpn_bbox_loss: 1.3599 - mrcnn_class_loss: 0.2834 - mrcnn_bbox_loss: 0.6357 - mrcnn_mask_loss: 0.5503 26/100 [======>.......................] - ETA: 48s - loss: 2.9103 - rpn_class_loss: 0.0318 - rpn_bbox_loss: 1.3994 - mrcnn_class_loss: 0.2798 - mrcnn_bbox_loss: 0.6401 - mrcnn_mask_loss: 0.5592 27/100 [=======>......................] - ETA: 47s - loss: 2.9387 - rpn_class_loss: 0.0311 - rpn_bbox_loss: 1.3674 - mrcnn_class_loss: 0.2707 - mrcnn_bbox_loss: 0.7049 - mrcnn_mask_loss: 0.5647 28/100 [=======>......................] - ETA: 46s - loss: 2.9125 - rpn_class_loss: 0.0338 - rpn_bbox_loss: 1.3246 - mrcnn_class_loss: 0.2724 - mrcnn_bbox_loss: 0.7119 - mrcnn_mask_loss: 0.5698 29/100 [=======>......................] - ETA: 45s - loss: 2.8980 - rpn_class_loss: 0.0332 - rpn_bbox_loss: 1.3070 - mrcnn_class_loss: 0.2673 - mrcnn_bbox_loss: 0.7040 - mrcnn_mask_loss: 0.5865 30/100 [========>.....................] - ETA: 44s - loss: 2.8521 - rpn_class_loss: 0.0332 - rpn_bbox_loss: 1.2662 - mrcnn_class_loss: 0.2593 - mrcnn_bbox_loss: 0.7140 - mrcnn_mask_loss: 0.5794 31/100 [========>.....................] - ETA: 44s - loss: 2.8123 - rpn_class_loss: 0.0322 - rpn_bbox_loss: 1.2309 - mrcnn_class_loss: 0.2539 - mrcnn_bbox_loss: 0.7100 - mrcnn_mask_loss: 0.5854 32/100 [========>.....................] - ETA: 43s - loss: 2.7963 - rpn_class_loss: 0.0315 - rpn_bbox_loss: 1.2160 - mrcnn_class_loss: 0.2501 - mrcnn_bbox_loss: 0.7122 - mrcnn_mask_loss: 0.5864 33/100 [========>.....................] - ETA: 42s - loss: 2.7763 - rpn_class_loss: 0.0307 - rpn_bbox_loss: 1.1974 - mrcnn_class_loss: 0.2475 - mrcnn_bbox_loss: 0.7117 - mrcnn_mask_loss: 0.5891 34/100 [=========>....................] - ETA: 41s - loss: 2.7392 - rpn_class_loss: 0.0298 - rpn_bbox_loss: 1.1679 - mrcnn_class_loss: 0.2477 - mrcnn_bbox_loss: 0.7080 - mrcnn_mask_loss: 0.5859 35/100 [=========>....................] - ETA: 40s - loss: 2.6995 - rpn_class_loss: 0.0290 - rpn_bbox_loss: 1.1398 - mrcnn_class_loss: 0.2453 - mrcnn_bbox_loss: 0.7040 - mrcnn_mask_loss: 0.5814 36/100 [=========>....................] - ETA: 39s - loss: 2.6515 - rpn_class_loss: 0.0285 - rpn_bbox_loss: 1.1112 - mrcnn_class_loss: 0.2396 - mrcnn_bbox_loss: 0.6964 - mrcnn_mask_loss: 0.5758 37/100 [==========>...................] - ETA: 38s - loss: 2.6511 - rpn_class_loss: 0.0279 - rpn_bbox_loss: 1.0910 - mrcnn_class_loss: 0.2358 - mrcnn_bbox_loss: 0.7180 - mrcnn_mask_loss: 0.5784 38/100 [==========>...................] - ETA: 38s - loss: 2.6420 - rpn_class_loss: 0.0288 - rpn_bbox_loss: 1.0662 - mrcnn_class_loss: 0.2348 - mrcnn_bbox_loss: 0.7308 - mrcnn_mask_loss: 0.5814 39/100 [==========>...................] - ETA: 37s - loss: 2.6040 - rpn_class_loss: 0.0281 - rpn_bbox_loss: 1.0419 - mrcnn_class_loss: 0.2337 - mrcnn_bbox_loss: 0.7211 - mrcnn_mask_loss: 0.5791 40/100 [===========>..................] - ETA: 36s - loss: 2.5944 - rpn_class_loss: 0.0285 - rpn_bbox_loss: 1.0267 - mrcnn_class_loss: 0.2283 - mrcnn_bbox_loss: 0.7277 - mrcnn_mask_loss: 0.5831 41/100 [===========>..................] - ETA: 35s - loss: 2.5873 - rpn_class_loss: 0.0282 - rpn_bbox_loss: 1.0149 - mrcnn_class_loss: 0.2246 - mrcnn_bbox_loss: 0.7337 - mrcnn_mask_loss: 0.5858 42/100 [===========>..................] - ETA: 35s - loss: 2.5803 - rpn_class_loss: 0.0277 - rpn_bbox_loss: 1.0036 - mrcnn_class_loss: 0.2217 - mrcnn_bbox_loss: 0.7391 - mrcnn_mask_loss: 0.5882 43/100 [===========>..................] - ETA: 34s - loss: 2.5557 - rpn_class_loss: 0.0283 - rpn_bbox_loss: 0.9826 - mrcnn_class_loss: 0.2192 - mrcnn_bbox_loss: 0.7358 - mrcnn_mask_loss: 0.5897 44/100 [============>.................] - ETA: 33s - loss: 2.5287 - rpn_class_loss: 0.0284 - rpn_bbox_loss: 0.9633 - mrcnn_class_loss: 0.2175 - mrcnn_bbox_loss: 0.7276 - mrcnn_mask_loss: 0.5919 45/100 [============>.................] - ETA: 33s - loss: 2.5293 - rpn_class_loss: 0.0278 - rpn_bbox_loss: 0.9624 - mrcnn_class_loss: 0.2154 - mrcnn_bbox_loss: 0.7320 - mrcnn_mask_loss: 0.5915 46/100 [============>.................] - ETA: 32s - loss: 2.5068 - rpn_class_loss: 0.0273 - rpn_bbox_loss: 0.9450 - mrcnn_class_loss: 0.2142 - mrcnn_bbox_loss: 0.7298 - mrcnn_mask_loss: 0.5906 47/100 [=============>................] - ETA: 31s - loss: 2.5437 - rpn_class_loss: 0.0270 - rpn_bbox_loss: 0.9406 - mrcnn_class_loss: 0.2123 - mrcnn_bbox_loss: 0.7358 - mrcnn_mask_loss: 0.6279 48/100 [=============>................] - ETA: 30s - loss: 2.5540 - rpn_class_loss: 0.0267 - rpn_bbox_loss: 0.9279 - mrcnn_class_loss: 0.2088 - mrcnn_bbox_loss: 0.7574 - mrcnn_mask_loss: 0.6333 49/100 [=============>................] - ETA: 30s - loss: 2.5458 - rpn_class_loss: 0.0266 - rpn_bbox_loss: 0.9095 - mrcnn_class_loss: 0.2067 - mrcnn_bbox_loss: 0.7616 - mrcnn_mask_loss: 0.6414 50/100 [==============>...............] - ETA: 29s - loss: 2.5201 - rpn_class_loss: 0.0265 - rpn_bbox_loss: 0.8928 - mrcnn_class_loss: 0.2037 - mrcnn_bbox_loss: 0.7615 - mrcnn_mask_loss: 0.6357 51/100 [==============>...............] - ETA: 28s - loss: 2.5022 - rpn_class_loss: 0.0260 - rpn_bbox_loss: 0.8822 - mrcnn_class_loss: 0.2015 - mrcnn_bbox_loss: 0.7587 - mrcnn_mask_loss: 0.6337 52/100 [==============>...............] - ETA: 28s - loss: 2.4968 - rpn_class_loss: 0.0275 - rpn_bbox_loss: 0.8696 - mrcnn_class_loss: 0.1997 - mrcnn_bbox_loss: 0.7650 - mrcnn_mask_loss: 0.6350 53/100 [==============>...............] - ETA: 27s - loss: 2.4723 - rpn_class_loss: 0.0271 - rpn_bbox_loss: 0.8541 - mrcnn_class_loss: 0.1970 - mrcnn_bbox_loss: 0.7623 - mrcnn_mask_loss: 0.6317 54/100 [===============>..............] - ETA: 27s - loss: 2.4641 - rpn_class_loss: 0.0266 - rpn_bbox_loss: 0.8463 - mrcnn_class_loss: 0.2004 - mrcnn_bbox_loss: 0.7622 - mrcnn_mask_loss: 0.6286 55/100 [===============>..............] - ETA: 26s - loss: 2.4351 - rpn_class_loss: 0.0262 - rpn_bbox_loss: 0.8310 - mrcnn_class_loss: 0.1980 - mrcnn_bbox_loss: 0.7547 - mrcnn_mask_loss: 0.6253 56/100 [===============>..............] - ETA: 25s - loss: 2.4102 - rpn_class_loss: 0.0260 - rpn_bbox_loss: 0.8179 - mrcnn_class_loss: 0.1966 - mrcnn_bbox_loss: 0.7481 - mrcnn_mask_loss: 0.6217 57/100 [================>.............] - ETA: 25s - loss: 2.4039 - rpn_class_loss: 0.0256 - rpn_bbox_loss: 0.8141 - mrcnn_class_loss: 0.1937 - mrcnn_bbox_loss: 0.7492 - mrcnn_mask_loss: 0.6213 58/100 [================>.............] - ETA: 24s - loss: 2.3975 - rpn_class_loss: 0.0255 - rpn_bbox_loss: 0.8030 - mrcnn_class_loss: 0.1923 - mrcnn_bbox_loss: 0.7560 - mrcnn_mask_loss: 0.6208 59/100 [================>.............] - ETA: 23s - loss: 2.3806 - rpn_class_loss: 0.0258 - rpn_bbox_loss: 0.7909 - mrcnn_class_loss: 0.1910 - mrcnn_bbox_loss: 0.7516 - mrcnn_mask_loss: 0.6213 60/100 [=================>............] - ETA: 23s - loss: 2.3913 - rpn_class_loss: 0.0266 - rpn_bbox_loss: 0.8070 - mrcnn_class_loss: 0.1888 - mrcnn_bbox_loss: 0.7484 - mrcnn_mask_loss: 0.6204 61/100 [=================>............] - ETA: 22s - loss: 2.3715 - rpn_class_loss: 0.0264 - rpn_bbox_loss: 0.7956 - mrcnn_class_loss: 0.1860 - mrcnn_bbox_loss: 0.7439 - mrcnn_mask_loss: 0.6195 62/100 [=================>............] - ETA: 21s - loss: 2.3536 - rpn_class_loss: 0.0260 - rpn_bbox_loss: 0.7846 - mrcnn_class_loss: 0.1848 - mrcnn_bbox_loss: 0.7423 - mrcnn_mask_loss: 0.6159 63/100 [=================>............] - ETA: 21s - loss: 2.3325 - rpn_class_loss: 0.0262 - rpn_bbox_loss: 0.7737 - mrcnn_class_loss: 0.1826 - mrcnn_bbox_loss: 0.7372 - mrcnn_mask_loss: 0.6128 64/100 [==================>...........] - ETA: 20s - loss: 2.3176 - rpn_class_loss: 0.0260 - rpn_bbox_loss: 0.7637 - mrcnn_class_loss: 0.1821 - mrcnn_bbox_loss: 0.7365 - mrcnn_mask_loss: 0.6094 65/100 [==================>...........] - ETA: 20s - loss: 2.3006 - rpn_class_loss: 0.0256 - rpn_bbox_loss: 0.7541 - mrcnn_class_loss: 0.1805 - mrcnn_bbox_loss: 0.7343 - mrcnn_mask_loss: 0.6061 66/100 [==================>...........] - ETA: 19s - loss: 2.2798 - rpn_class_loss: 0.0254 - rpn_bbox_loss: 0.7430 - mrcnn_class_loss: 0.1788 - mrcnn_bbox_loss: 0.7285 - mrcnn_mask_loss: 0.6041 67/100 [===================>..........] - ETA: 18s - loss: 2.2792 - rpn_class_loss: 0.0253 - rpn_bbox_loss: 0.7339 - mrcnn_class_loss: 0.1774 - mrcnn_bbox_loss: 0.7392 - mrcnn_mask_loss: 0.6033 68/100 [===================>..........] - ETA: 18s - loss: 2.2696 - rpn_class_loss: 0.0253 - rpn_bbox_loss: 0.7277 - mrcnn_class_loss: 0.1765 - mrcnn_bbox_loss: 0.7393 - mrcnn_mask_loss: 0.6009 69/100 [===================>..........] - ETA: 17s - loss: 2.2470 - rpn_class_loss: 0.0252 - rpn_bbox_loss: 0.7173 - mrcnn_class_loss: 0.1743 - mrcnn_bbox_loss: 0.7320 - mrcnn_mask_loss: 0.5982 70/100 [====================>.........] - ETA: 17s - loss: 2.2425 - rpn_class_loss: 0.0250 - rpn_bbox_loss: 0.7183 - mrcnn_class_loss: 0.1723 - mrcnn_bbox_loss: 0.7306 - mrcnn_mask_loss: 0.5963 71/100 [====================>.........] - ETA: 16s - loss: 2.2329 - rpn_class_loss: 0.0252 - rpn_bbox_loss: 0.7120 - mrcnn_class_loss: 0.1704 - mrcnn_bbox_loss: 0.7306 - mrcnn_mask_loss: 0.5948 72/100 [====================>.........] - ETA: 15s - loss: 2.2095 - rpn_class_loss: 0.0250 - rpn_bbox_loss: 0.7027 - mrcnn_class_loss: 0.1684 - mrcnn_bbox_loss: 0.7212 - mrcnn_mask_loss: 0.5923 73/100 [====================>.........] - ETA: 15s - loss: 2.1931 - rpn_class_loss: 0.0250 - rpn_bbox_loss: 0.6946 - mrcnn_class_loss: 0.1664 - mrcnn_bbox_loss: 0.7163 - mrcnn_mask_loss: 0.5908 74/100 [=====================>........] - ETA: 14s - loss: 2.1853 - rpn_class_loss: 0.0247 - rpn_bbox_loss: 0.6875 - mrcnn_class_loss: 0.1650 - mrcnn_bbox_loss: 0.7178 - mrcnn_mask_loss: 0.5904 75/100 [=====================>........] - ETA: 14s - loss: 2.1696 - rpn_class_loss: 0.0245 - rpn_bbox_loss: 0.6787 - mrcnn_class_loss: 0.1646 - mrcnn_bbox_loss: 0.7162 - mrcnn_mask_loss: 0.5855 76/100 [=====================>........] - ETA: 13s - loss: 2.1727 - rpn_class_loss: 0.0246 - rpn_bbox_loss: 0.6703 - mrcnn_class_loss: 0.1633 - mrcnn_bbox_loss: 0.7286 - mrcnn_mask_loss: 0.5860 77/100 [======================>.......] - ETA: 13s - loss: 2.1647 - rpn_class_loss: 0.0244 - rpn_bbox_loss: 0.6659 - mrcnn_class_loss: 0.1633 - mrcnn_bbox_loss: 0.7272 - mrcnn_mask_loss: 0.5841 78/100 [======================>.......] - ETA: 12s - loss: 2.1554 - rpn_class_loss: 0.0241 - rpn_bbox_loss: 0.6583 - mrcnn_class_loss: 0.1618 - mrcnn_bbox_loss: 0.7292 - mrcnn_mask_loss: 0.5821 79/100 [======================>.......] - ETA: 11s - loss: 2.1430 - rpn_class_loss: 0.0238 - rpn_bbox_loss: 0.6537 - mrcnn_class_loss: 0.1608 - mrcnn_bbox_loss: 0.7239 - mrcnn_mask_loss: 0.5807 80/100 [=======================>......] - ETA: 11s - loss: 2.1310 - rpn_class_loss: 0.0236 - rpn_bbox_loss: 0.6490 - mrcnn_class_loss: 0.1600 - mrcnn_bbox_loss: 0.7192 - mrcnn_mask_loss: 0.5793 81/100 [=======================>......] - ETA: 10s - loss: 2.1212 - rpn_class_loss: 0.0235 - rpn_bbox_loss: 0.6438 - mrcnn_class_loss: 0.1587 - mrcnn_bbox_loss: 0.7182 - mrcnn_mask_loss: 0.5771 82/100 [=======================>......] - ETA: 10s - loss: 2.1098 - rpn_class_loss: 0.0233 - rpn_bbox_loss: 0.6370 - mrcnn_class_loss: 0.1572 - mrcnn_bbox_loss: 0.7177 - mrcnn_mask_loss: 0.5746 83/100 [=======================>......] - ETA: 9s - loss: 2.1073 - rpn_class_loss: 0.0233 - rpn_bbox_loss: 0.6336 - mrcnn_class_loss: 0.1566 - mrcnn_bbox_loss: 0.7121 - mrcnn_mask_loss: 0.5816 84/100 [========================>.....] - ETA: 9s - loss: 2.0990 - rpn_class_loss: 0.0230 - rpn_bbox_loss: 0.6278 - mrcnn_class_loss: 0.1558 - mrcnn_bbox_loss: 0.7110 - mrcnn_mask_loss: 0.5813 85/100 [========================>.....] - ETA: 8s - loss: 2.0850 - rpn_class_loss: 0.0229 - rpn_bbox_loss: 0.6213 - mrcnn_class_loss: 0.1548 - mrcnn_bbox_loss: 0.7068 - mrcnn_mask_loss: 0.5791 86/100 [========================>.....] - ETA: 7s - loss: 2.0820 - rpn_class_loss: 0.0229 - rpn_bbox_loss: 0.6153 - mrcnn_class_loss: 0.1557 - mrcnn_bbox_loss: 0.7089 - mrcnn_mask_loss: 0.5792 87/100 [=========================>....] - ETA: 7s - loss: 2.0718 - rpn_class_loss: 0.0229 - rpn_bbox_loss: 0.6095 - mrcnn_class_loss: 0.1549 - mrcnn_bbox_loss: 0.7080 - mrcnn_mask_loss: 0.5765 88/100 [=========================>....] - ETA: 6s - loss: 2.0709 - rpn_class_loss: 0.0226 - rpn_bbox_loss: 0.6080 - mrcnn_class_loss: 0.1566 - mrcnn_bbox_loss: 0.7071 - mrcnn_mask_loss: 0.5765 89/100 [=========================>....] - ETA: 6s - loss: 2.0713 - rpn_class_loss: 0.0224 - rpn_bbox_loss: 0.6134 - mrcnn_class_loss: 0.1550 - mrcnn_bbox_loss: 0.7070 - mrcnn_mask_loss: 0.5735 90/100 [==========================>...] - ETA: 5s - loss: 2.0624 - rpn_class_loss: 0.0225 - rpn_bbox_loss: 0.6204 - mrcnn_class_loss: 0.1532 - mrcnn_bbox_loss: 0.6992 - mrcnn_mask_loss: 0.5672 91/100 [==========================>...] - ETA: 5s - loss: 2.0626 - rpn_class_loss: 0.0224 - rpn_bbox_loss: 0.6145 - mrcnn_class_loss: 0.1550 - mrcnn_bbox_loss: 0.7043 - mrcnn_mask_loss: 0.5664 92/100 [==========================>...] - ETA: 4s - loss: 2.0539 - rpn_class_loss: 0.0222 - rpn_bbox_loss: 0.6097 - mrcnn_class_loss: 0.1544 - mrcnn_bbox_loss: 0.7012 - mrcnn_mask_loss: 0.5663 93/100 [==========================>...] - ETA: 3s - loss: 2.0421 - rpn_class_loss: 0.0220 - rpn_bbox_loss: 0.6048 - mrcnn_class_loss: 0.1533 - mrcnn_bbox_loss: 0.6980 - mrcnn_mask_loss: 0.5640 94/100 [===========================>..] - ETA: 3s - loss: 2.0283 - rpn_class_loss: 0.0220 - rpn_bbox_loss: 0.5988 - mrcnn_class_loss: 0.1522 - mrcnn_bbox_loss: 0.6936 - mrcnn_mask_loss: 0.5616 95/100 [===========================>..] - ETA: 2s - loss: 2.0198 - rpn_class_loss: 0.0220 - rpn_bbox_loss: 0.5942 - mrcnn_class_loss: 0.1509 - mrcnn_bbox_loss: 0.6867 - mrcnn_mask_loss: 0.5659 96/100 [===========================>..] - ETA: 2s - loss: 2.0161 - rpn_class_loss: 0.0218 - rpn_bbox_loss: 0.5911 - mrcnn_class_loss: 0.1504 - mrcnn_bbox_loss: 0.6898 - mrcnn_mask_loss: 0.5630 97/100 [============================>.] - ETA: 1s - loss: 2.0079 - rpn_class_loss: 0.0219 - rpn_bbox_loss: 0.5857 - mrcnn_class_loss: 0.1496 - mrcnn_bbox_loss: 0.6871 - mrcnn_mask_loss: 0.5636 98/100 [============================>.] - ETA: 1s - loss: 2.0016 - rpn_class_loss: 0.0218 - rpn_bbox_loss: 0.5823 - mrcnn_class_loss: 0.1491 - mrcnn_bbox_loss: 0.6878 - mrcnn_mask_loss: 0.5607 99/100 [============================>.] - ETA: 0s - loss: 2.0148 - rpn_class_loss: 0.0216 - rpn_bbox_loss: 0.5795 - mrcnn_class_loss: 0.1480 - mrcnn_bbox_loss: 0.6850 - mrcnn_mask_loss: 0.5807Epoch 00000: val_loss improved from inf to 1.17010, saving model to /media/jgq/GXL/project/2018/DDIM-OD/logs/bioisland20180508T0934/mask_rcnn_bioisland_0000.h5 Traceback (most recent call last): File "/media/jgq/GXL/project/2018/DDIM-OD/train_ddim.py", line 329, in
Process finished with exit code 1