tensorflow 2.2 matterport/Mask_RCNN 调试笔记

1. AttributeError: module 'tensorflow' has no attribute 'log'
问题：tf.log报错
解决：tf.math.log

2.I had this same problem. It seems according to the poorly-documented TF source code, keras.engine.saving was mostly moved to keras.saving.

you want to replace

from keras import saving

with

from tensorflow.python.keras.saving import hdf5_format

then you will also want to replace the lines

saving.load_weights_from_hdf5_group(f, layers)

and so on with

hdf5_format.load_weights_from_hdf5_group(f, layers)

Hopefully this helps you and anyone else trying to use this repo in 2020.

3.The following Variables were created within a Lambda layer (anchors)

just change that line with

anchor_layer = AnchorsLayer(name="anchors")
anchors = anchor_layer(anchors)

But before that you should define this class:

class AnchorsLayer(tf.keras.layers.Layer):
                def __init__(self, name="anchors", **kwargs):
                    super(AnchorsLayer, self).__init__(name=name, **kwargs)

                def call(self, anchor):
                    return anchor

                def get_config(self) :
                    config = super(AnchorsLayer, self).get_config()
                    return config

错误尚未完全解决，安装了和代码匹配的tensorflow-gpu，代码可以正常进行训练和预测。

参考文献：

1.AttributeError: module 'tensorflow' has no attribute 'log'

2.Which weights to start with?

3.Variables were created within a Lambda layer (anchors)

4.基于Tensorflow2.1的Mask RCNN兼容性问题（Variables were created within a Lambda layer (anchors)）

最后

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