ValueError: None values not supported. #1
Description
Traceback (most recent call last):
File "<pyshell#5>", line 1, in
model = mask_rcnn.MaskRCNN(mode="inference", config=configs, model_dir=os.getcwd())
File "C:\Users\Admin\Desktop\666\Project\mask_rcnn\model.py", line 1907, in init
self.keras_model = self.build(mode=mode, config=config)
File "C:\Users\Admin\Desktop\666\Project\mask_rcnn\model.py", line 2114, in build
[rpn_rois, mrcnn_class, mrcnn_bbox, input_image_meta])
File "C:\Users\Admin\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\keras\engine\base_layer.py", line 662, in call
outputs = call_fn(inputs, *args, **kwargs)
File "C:\Users\Admin\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\autograph\impl\api.py", line 169, in wrapper
raise e.ag_error_metadata.to_exception(type(e))
ValueError: in converted code:
relative to C:\Users\Admin:
Desktop\666\Project\mask_rcnn\model.py:880 call *
detections_batch = utils.batch_slice(
Desktop\666\Project\mask_rcnn\utils.py:835 batch_slice *
output_slice = graph_fn(*inputs_slice)
AppData\Local\Temp\tmphkl59he4.py:15 None *
detections_batch = ag__.converted_call('batch_slice', utils, ag__.ConversionOptions(recursive=True, force_conversion=False, optional_features=(), internal_convert_user_code=True), ([rois, mrcnn_class, mrcnn_bbox, window], lambda x, y, w, z: ag__.converted_call(refine_detections_graph, None, ag__.ConversionOptions(recursive=True, force_conversion=False, optional_features=(), internal_convert_user_code=True), (x, y, w, z, self.config), None), self.config.IMAGES_PER_GPU), None)
Desktop\666\Project\mask_rcnn\model.py:772 refine_detections_graph *
indices = tf.stack([tf.range(probs.shape[0]), class_ids], axis=1)
AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\ops\math_ops.py:1305 range
limit = ops.convert_to_tensor(limit, dtype=dtype, name="limit")
AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\ops.py:1100 convert_to_tensor
return convert_to_tensor_v2(value, dtype, preferred_dtype, name)
AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\ops.py:1158 convert_to_tensor_v2
as_ref=False)
AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\ops.py:1237 internal_convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\constant_op.py:305 _constant_tensor_conversion_function
return constant(v, dtype=dtype, name=name)
AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\constant_op.py:246 constant
allow_broadcast=True)
AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\constant_op.py:284 _constant_impl
allow_broadcast=allow_broadcast))
AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\tensor_util.py:455 make_tensor_proto
raise ValueError("None values not supported.")
ValueError: None values not supported.
你好，感谢您的代码
我在运行代码maskrcnn时候报错了
我的环境 win10
tensorflow-gpu-beta1
代码：
model = mask_rcnn.MaskRCNN(mode="inference", config=configs,model_dir=os.getcwd())
就报错了
因为这是一个巨大的项目，代码量很大，我很难检查出来