Mask_RCNN_tf_2.x
Mask-RCNN-TF2
Mask_RCNN_tf_2.x | Mask-RCNN-TF2 | |
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1 | 1 | |
48 | 299 | |
- | - | |
10.0 | 1.3 | |
over 2 years ago | about 1 year ago | |
Python | Python | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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Mask_RCNN_tf_2.x
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DeepCreamPy & Hent-AI Guide: Installation and anime censorship removal (Version 2)
Thus, if we want to use RTX 3000 series and later, we need to find a MRCNN that is Tensorflow 2.X compatible. Instead of updating the code myself, I looked through GitHub to see if anyone else had done this already. After some searching, I found a MRCNN package by BupyeongHealer that is compatible with Tensorflow 2.X versions. I implemented this package in Hent-AI by replacing the “mrcnn” folder (which has Matterport’s MRCNN) with the “mrcnn” folder from BupyeongHealer. Running Hent-AI at this point led to errors if trying to run Tensorflow 2.5 or newer due to the Layers class in Keras being moved from the Engine to the Layers module from Tensorflow 2.4 to 2.5, and Keras being moved from standalone to being part of the Tensorflow package itself. These errors were all eliminated by making the following modifications to “model.py” in the “mrcnn” folder:
Mask-RCNN-TF2
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