Mask_RCNN_tf_2.x Alternatives
Similar projects and alternatives to Mask_RCNN_tf_2.x based on common topics and language
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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Object_Detection_Tracking
Out-of-the-box code and models for CMU's object detection and tracking system for multi-camera surveillance videos. Speed optimized Faster-RCNN model. Tensorflow based. Also supports EfficientDet. WACVW'20
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Mask_RCNN_tf_2.x reviews and mentions
Posts with mentions or reviews of Mask_RCNN_tf_2.x.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-20.
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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:
Stats
Basic Mask_RCNN_tf_2.x repo stats
1
48
10.0
over 2 years ago
BupyeongHealer/Mask_RCNN_tf_2.x is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of Mask_RCNN_tf_2.x is Python.
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