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即使我尝试过，我也无法解决这个错误。

https://www.youtube.com/watch?v=GSDbfGsxruA

当我添加 The Mask RCNN 时，我几乎走到了最后一步，但我被困在这里。

错误日志

AttributeError                            Traceback (most recent call last)
<ipython-input-4-138183a2a830> in <module>
      1 # Create model object in inference mode.
----> 2 model = modellib.MaskRCNN(mode="inference", model_dir=MODEL_DIR, config=config)
      3 
      4 # Load weights trained on MS-COCO
      5 model.load_weights(COCO_MODEL_PATH, by_name=True)

~\**\Mask_RCNN\mrcnn\model.py in __init__(self, mode, config, model_dir)
   1838         self.model_dir = model_dir
   1839         self.set_log_dir()
-> 1840         self.keras_model = self.build(mode=mode, config=config)
   1841 
   1842     def build(self, mode, config):

~\**\Mask_RCNN\mrcnn\model.py in build(self, mode, config)
   2044             # output is [batch, num_detections, (y1, x1, y2, x2, class_id, score)] in
   2045             # normalized coordinates
-> 2046             detections = DetectionLayer(config, name="mrcnn_detection")(
   2047                 [rpn_rois, mrcnn_class, mrcnn_bbox, input_image_meta])
   2048 

**\anaconda3\lib\site-packages\tensorflow\python\keras\engine\base_layer.py in __call__(self, *args, **kwargs)
    949     # >> model = tf.keras.Model(inputs, outputs)
    950     if _in_functional_construction_mode(self, inputs, args, kwargs, input_list):
--> 951       return self._functional_construction_call(inputs, args, kwargs,
    952                                                 input_list)
    953 

**\anaconda3\lib\site-packages\tensorflow\python\keras\engine\base_layer.py in _functional_construction_call(self, inputs, args, kwargs, input_list)
   1088           layer=self, inputs=inputs, build_graph=True, training=training_value):
   1089         # Check input assumptions set after layer building, e.g. input shape.
-> 1090         outputs = self._keras_tensor_symbolic_call(
   1091             inputs, input_masks, args, kwargs)
   1092 

**\anaconda3\lib\site-packages\tensorflow\python\keras\engine\base_layer.py in _keras_tensor_symbolic_call(self, inputs, input_masks, args, kwargs)
    820       return nest.map_structure(keras_tensor.KerasTensor, output_signature)
    821     else:
--> 822       return self._infer_output_signature(inputs, args, kwargs, input_masks)
    823 
    824   def _infer_output_signature(self, inputs, args, kwargs, input_masks):

**\anaconda3\lib\site-packages\tensorflow\python\keras\engine\base_layer.py in _infer_output_signature(self, inputs, args, kwargs, input_masks)
    861           # TODO(kaftan): do we maybe_build here, or have we already done it?
    862           self._maybe_build(inputs)
--> 863           outputs = call_fn(inputs, *args, **kwargs)
    864 
    865         self._handle_activity_regularization(inputs, outputs)

**\anaconda3\lib\site-packages\tensorflow\python\autograph\impl\api.py in wrapper(*args, **kwargs)
    668       except Exception as e:  # pylint:disable=broad-except
    669         if hasattr(e, 'ag_error_metadata'):
--> 670           raise e.ag_error_metadata.to_exception(e)
    671         else:
    672           raise

AttributeError：在用户代码中：

**\Mask_RCNN\mrcnn\model.py:810 call  *
    detections_batch = utils.batch_slice(
**\Mask_RCNN\mrcnn\utils.py:820 batch_slice  *
    output_slice = graph_fn(*inputs_slice)
**\Mask_RCNN\mrcnn\model.py:720 refine_detections_graph  *
    keep = tf.sets.set_intersection(tf.expand_dims(keep, 0),

AttributeError: module 'tensorflow._api.v2.sets' has no attribute 'set_intersection'

model.py按照这里安排。

https://github.com/matterport/Mask_RCNN/issues/1070#issuecomment-740430758

4

2 回答 2

0

根据 SalahRahimi 在GitHub 上针对同一问题提供的解决方案，用户可以通过执行以下更改来解决该问题。

这里的主要问题是张量流版本。mrcnn不适用于 tensorflow.2.0，因此我必须删除此版本并重新安装 1.15 版。请注意，在 Python3.8 中无法安装 1.15 版本，因此我切换到 Python 3.7，这允许我安装 tensorflow 1.15。现在，这个问题已经解决，我已经能够运行程序了。

于 2020-12-24T14:49:50.083 回答
0

我设法通过进行以下替换来解决它，在此链接中进行了描述：https ://github.com/tensorflow/tensorflow/issues/43982 。

"tf.sets.set_intersection(...)

至：

tf.compat.v1.sets.set_intersection(...)

和：

import tensorflow as tf

至：

import tensorflow.compat.v1 as tf
于 2021-05-22T20:17:33.110 回答