我将Mask_RCNN 模块与烧瓶一起使用
当我不添加时K.clear_session()，我在训练和预测模块中面临这个错误
错误无法将 feed_dict 键解释为张量：张量张量（\"Placeholder:0\", shape=(7, 7, 3, 64), dtype=float32) is not an element of this graph."}
Weights: coco
Dataset: ./files/coco/dataset
Logs: ./files/coco/log1/
..........................config.........................
Configurations:
BACKBONE resnet101
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 0.744
DETECTION_NMS_THRESHOLD 0.3
GPU_COUNT 1
GRADIENT_CLIP_NORM 5.0
IMAGES_PER_GPU 1
IMAGE_MAX_DIM 1024
IMAGE_META_SIZE 24
IMAGE_MIN_DIM 800
IMAGE_MIN_SCALE 0
IMAGE_RESIZE_MODE square
IMAGE_SHAPE [1024 1024 3]
LEARNING_MOMENTUM 0.9
LEARNING_RATE 0.001
LOSS_WEIGHTS {'rpn_class_loss': 1.0, 'rpn_bbox_loss': 1.0, 'mrcnn_class_loss': 1.0, 'mrcnn_bbox_loss': 1.0, 'mrcnn_mask_loss': 1.0}
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 surgery
NUM_CLASSES 12
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_BN False
TRAIN_ROIS_PER_IMAGE 200
USE_MINI_MASK True
USE_RPN_ROIS True
VALIDATION_STEPS 20
WEIGHT_DECAY 0.0001
Loading weights ./routeDefine/coco/mrcnn/mask_rcnn_coco.h5
Exception in thread Thread-4:
Traceback (most recent call last):
File "/home/ubuntu/anaconda3/envs/tf-gpu/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1092, in _run
subfeed, allow_tensor=True, allow_operation=False)
File "/home/ubuntu/anaconda3/envs/tf-gpu/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3490, in as_graph_element
return self._as_graph_element_locked(obj, allow_tensor, allow_operation)
File "/home/ubuntu/anaconda3/envs/tf-gpu/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3569, in _as_graph_element_locked
raise ValueError("Tensor %s is not an element of this graph." % obj)
ValueError: Tensor Tensor("Placeholder:0", shape=(7, 7, 3, 64), dtype=float32) is not an element of this graph.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/ubuntu/anaconda3/envs/tf-gpu/lib/python3.6/threading.py", line 916, in _bootstrap_inner
self.run()
File "/home/ubuntu/anaconda3/envs/tf-gpu/lib/python3.6/threading.py", line 864, in run
self._target(*self._args, **self._kwargs)
File "/home/ubuntu/AI_Project6/routeDefine/coco/saveModelmn.py", line 111, in model
main()
File "/home/ubuntu/AI_Project6/routeDefine/coco/saveModelmn.py", line 108, in main
trainmodel()
File "/home/ubuntu/AI_Project6/routeDefine/coco/savemodel.py", line 342, in trainmodel
"mrcnn_bbox", "mrcnn_mask"])
File "/home/ubuntu/AI_Project6/routeDefine/coco/mrcnn/modelsave.py", line 2101, in load_weights
saving.load_weights_from_hdf5_group_by_name(f, layers)
File "/home/ubuntu/anaconda3/envs/tf-gpu/lib/python3.6/site-packages/keras/engine/saving.py", line 1022, in load_weights_from_hdf5_group_by_name
K.batch_set_value(weight_value_tuples)
File "/home/ubuntu/anaconda3/envs/tf-gpu/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 2440, in batch_set_value
get_session().run(assign_ops, feed_dict=feed_dict)
File "/home/ubuntu/anaconda3/envs/tf-gpu/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 929, in run
run_metadata_ptr)
File "/home/ubuntu/anaconda3/envs/tf-gpu/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1095, in _run
'Cannot interpret feed_dict key as Tensor: ' + e.args[0])
TypeError: Cannot interpret feed_dict key as Tensor: Tensor Tensor("Placeholder:0", shape=(7, 7, 3, 64), dtype=float32) is not an element of this graph.
如果我运行文件，K.clear_session()那么它会停止当前的工作模块并启动我想要运行的模块，就像预测模块正在运行一样，然后我点击训练模块它会停止预测并运行训练。
请帮我