![](/img/trans.png)
[英]Tried to convert 'x' to a tensor and failed. Error: None values not supported
[英]Mask-RCNN with Keras : Tried to convert 'shape' to a tensor and failed. Error: None values not supported
我正在嘗試在推理模式下運行Mask_RCNN 的 Keras 實現。 基本上就是運行這段代碼demo.ipynb
但是當我運行它時,我在創建模型時收到以下錯誤:
ValueError: Tried to convert 'shape' to a tensor and failed. Error: None values not supported.
這是堆棧跟蹤:
Traceback (most recent call last):
File "/snap/pycharm-community/128/helpers/pydev/pydevd.py", line 1758, in <module>
main()
File "/snap/pycharm-community/128/helpers/pydev/pydevd.py", line 1752, in main
globals = debugger.run(setup['file'], None, None, is_module)
File "/snap/pycharm-community/128/helpers/pydev/pydevd.py", line 1147, in run
pydev_imports.execfile(file, globals, locals) # execute the script
File "/snap/pycharm-community/128/helpers/pydev/_pydev_imps/_pydev_execfile.py", line 18, in execfile
exec(compile(contents+"\n", file, 'exec'), glob, loc)
File "[PATH/TO/Mask_RCNN/]/Own_code/Test.py", line 44, in <module>
model = modellib.MaskRCNN(mode="inference", model_dir=MODEL_DIR, config=config)
File "[PATH/TO/Mask_RCNN/]/Mask_RCNN/mrcnn/model.py", line 1833, in __init__
self.keras_model = self.build(mode=mode, config=config)
File "[PATH/TO/Mask_RCNN/]/Mask_RCNN/mrcnn/model.py", line 2035, in build
fc_layers_size=config.FPN_CLASSIF_FC_LAYERS_SIZE)
File "[PATH/TO/Mask_RCNN/]/Mask_RCNN/mrcnn/model.py", line 947, in fpn_classifier_graph
mrcnn_bbox = KL.Reshape((s[1], num_classes, 4), name="mrcnn_bbox")(x)
File "[PATH/TO/venv/]lib/python3.6/site-packages/tensorflow/python/keras/engine/base_layer.py", line 554, in __call__
outputs = self.call(inputs, *args, **kwargs)
File "[PATH/TO/venv/]lib/python3.6/site-packages/tensorflow/python/keras/layers/core.py", line 439, in call
(array_ops.shape(inputs)[0],) + self.target_shape)
File "[PATH/TO/venv/]lib/python3.6/site-packages/tensorflow/python/ops/gen_array_ops.py", line 7179, in reshape
"Reshape", tensor=tensor, shape=shape, name=name)
File "[PATH/TO/venv/]lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 529, in _apply_op_helper
(input_name, err))
看起來我的問題與此處描述的相同,但沒有真正的答案。
備注:
編輯
這是我正在運行的代碼:
# Root directory of the project
ROOT_DIR = os.path.abspath("../")
# Import Mask RCNN
sys.path.append(ROOT_DIR) # To find local version of the library
# Import COCO config
sys.path.append(os.path.join(ROOT_DIR, "samples/coco/")) # To find local version
# Directory to save logs and trained model
MODEL_DIR = os.path.join(ROOT_DIR, "logs")
# Local path to trained weights file
COCO_MODEL_PATH = os.path.join(ROOT_DIR, "mask_rcnn_coco.h5")
# Download COCO trained weights from Releases if needed
if not os.path.exists(COCO_MODEL_PATH):
utils.download_trained_weights(COCO_MODEL_PATH)
# Directory of images to run detection on
IMAGE_DIR = os.path.join(ROOT_DIR, "images")
class InferenceConfig(coco.CocoConfig):
# Set batch size to 1 since we'll be running inference on
# one image at a time. Batch size = GPU_COUNT * IMAGES_PER_GPU
GPU_COUNT = 1
IMAGES_PER_GPU = 1
config = InferenceConfig()
# Create model object in inference mode.
model = modellib.MaskRCNN(mode="inference", model_dir=MODEL_DIR, config=config)
這實際上是來自 maskRCNN 存儲庫的demo.ipynb的復制/粘貼。 最后一行是發生錯誤的地方。
我得到了同樣的錯誤,直到:
keras.__version__ == 2.2.4
Tensorflow-gpu version == 1.12.0
Skimage.__version__ == 0.14.2
不確定其他版本的錯誤是什么,可能有些東西不適合pycocotools
或
optimizer = keras.optimizers.SGD(
lr=learning_rate, momentum=momentum,
clipnorm=self.config.GRADIENT_CLIP_NORM) #this portion.
在 model.py 中替換此代碼
if s[1] is None:
mrcnn_bbox = KL.Reshape((-1, num_classes, 4), name="mrcnn_bbox")(x)
else:
mrcnn_bbox = KL.Reshape((s[1], num_classes, 4), name="mrcnn_bbox")(x)
聲明:本站的技術帖子網頁,遵循CC BY-SA 4.0協議,如果您需要轉載,請注明本站網址或者原文地址。任何問題請咨詢:yoyou2525@163.com.