运行错误

运行错误

 

(mask_rcnn_tf2) bim@bim-PowerEdge-R730:~/tensorflow_project$ 
(mask_rcnn_tf2) bim@bim-PowerEdge-R730:~/tensorflow_project$ 
(mask_rcnn_tf2) bim@bim-PowerEdge-R730:~/tensorflow_project$ 
(mask_rcnn_tf2) bim@bim-PowerEdge-R730:~/tensorflow_project$ 
(mask_rcnn_tf2) bim@bim-PowerEdge-R730:~/tensorflow_project$ python csc_2022051701.py train --dataset=/home/bim/project/object_detection/DatasetV3 --model
2022-05-18 00:48:43.532565: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
Command:  train
Model:  /home/bim/project/object_detection/DatasetV3/mask_rcnn_coco.h5
Dataset:  /home/bim/project/object_detection/DatasetV3
Year:  2014
Logs:  /home/bim/tensorflow_project/D:\object_detection\DatasetV3/logs
Auto Download:  False

Configurations:
BACKBONE                       resnet101
BACKBONE_STRIDES               [4, 8, 16, 32, 64]
BATCH_SIZE                     1
BBOX_STD_DEV                   [0.1 0.1 0.2 0.2]
COMPUTE_BACKBONE_SHAPE         None
DETECTION_MAX_INSTANCES        100
DETECTION_MIN_CONFIDENCE       0.7
DETECTION_NMS_THRESHOLD        0.3
FPN_CLASSIF_FC_LAYERS_SIZE     1024
GPU_COUNT                      1
GRADIENT_CLIP_NORM             5.0
IMAGES_PER_GPU                 1
IMAGE_CHANNEL_COUNT            3
IMAGE_MAX_DIM                  1024
IMAGE_META_SIZE                14
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                           coco
NUM_CLASSES                    2
POOL_SIZE                      7
POST_NMS_ROIS_INFERENCE        1000
POST_NMS_ROIS_TRAINING         2000
PRE_NMS_LIMIT                  6000
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                1000
TOP_DOWN_PYRAMID_SIZE          256
TRAIN_BN                       False
TRAIN_ROIS_PER_IMAGE           200
USE_MINI_MASK                  True
USE_RPN_ROIS                   True
VALIDATION_STEPS               50
WEIGHT_DECAY                   0.0001


Traceback (most recent call last):
  File "csc_2022051701.py", line 456, in <module>
    model = modellib.MaskRCNN(mode="training", config=config,model_dir=args.logs)
  File "/home/bim/tensorflow_project/mrcnn/model.py", line 1837, in __init__
    self.keras_model = self.build(mode=mode, config=config)
  File "/home/bim/tensorflow_project/mrcnn/model.py", line 1876, in build
    x, K.shape(input_image)[1:3]))(input_gt_boxes)
  File "/home/bim/anaconda3/envs/mask_rcnn_tf2/lib/python3.7/site-packages/tensorflow/python/keras/engine/base_layer.py", line 952, in __call__
    input_list)
  File "/home/bim/anaconda3/envs/mask_rcnn_tf2/lib/python3.7/site-packages/tensorflow/python/keras/engine/base_layer.py", line 1091, in _functional_constr
    inputs, input_masks, args, kwargs)
  File "/home/bim/anaconda3/envs/mask_rcnn_tf2/lib/python3.7/site-packages/tensorflow/python/keras/engine/base_layer.py", line 822, in _keras_tensor_symbo
    return self._infer_output_signature(inputs, args, kwargs, input_masks)
  File "/home/bim/anaconda3/envs/mask_rcnn_tf2/lib/python3.7/site-packages/tensorflow/python/keras/engine/base_layer.py", line 869, in _infer_output_signa
    keras_tensor.keras_tensor_from_tensor, outputs)
  File "/home/bim/anaconda3/envs/mask_rcnn_tf2/lib/python3.7/site-packages/tensorflow/python/util/nest.py", line 659, in map_structure
    structure[0], [func(*x) for x in entries],
  File "/home/bim/anaconda3/envs/mask_rcnn_tf2/lib/python3.7/site-packages/tensorflow/python/util/nest.py", line 659, in <listcomp>
    structure[0], [func(*x) for x in entries],
  File "/home/bim/anaconda3/envs/mask_rcnn_tf2/lib/python3.7/site-packages/tensorflow/python/keras/engine/keras_tensor.py", line 606, in keras_tensor_from
    out = keras_tensor_cls.from_tensor(tensor)
  File "/home/bim/anaconda3/envs/mask_rcnn_tf2/lib/python3.7/site-packages/tensorflow/python/keras/engine/keras_tensor.py", line 205, in from_tensor
    type_spec = type_spec_module.type_spec_from_value(tensor)
  File "/home/bim/anaconda3/envs/mask_rcnn_tf2/lib/python3.7/site-packages/tensorflow/python/framework/type_spec.py", line 554, in type_spec_from_value
    (value, type(value).__name__))
TypeError: Could not build a TypeSpec for <KerasTensor: shape=(None, None, 4) dtype=float32 (created by layer 'tf.math.truediv')> with type KerasTensor
(mask_rcnn_tf2) bim@bim-PowerEdge-R730:~/tensorflow_project$ 
(mask_rcnn_tf2) bim@bim-PowerEdge-R730:~/tensorflow_project$ 
(mask_rcnn_tf2) bim@bim-PowerEdge-R730:~/tensorflow_project$ 
(mask_rcnn_tf2) bim@bim-PowerEdge-R730:~/tensorflow_project$ 
(mask_rcnn_tf2) bim@bim-PowerEdge-R730:~/tensorflow_project$ 

 

 

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