Object_Detection_Tracking
Mask_RCNN_tf_2.x
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Object_Detection_Tracking | Mask_RCNN_tf_2.x | |
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10.0 | 10.0 | |
over 1 year ago | over 2 years ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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Object_Detection_Tracking
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✨ Best Computer Vision Projects with Source Code 🚀
🔗 https://github.com/JunweiLiang/Object_Detection_Tracking
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:
What are some alternatives?
SnakeStrike - A Low-cost Open-source High-speed Multi-camera Motion Capture System.
CenDetect - A repository to detect degradation in images and masking such areas.
articulated-animation - Code for Motion Representations for Articulated Animation paper
DeepCreamPy-archived - Archived version of DeepCreamPy.
InstColorization
Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
Yolov7_StrongSORT_OSNet - Real-time multi-camera multi-object tracker using YOLOv7 and StrongSORT with OSNet
mmocr - OpenMMLab Text Detection, Recognition and Understanding Toolbox
JoJoGAN - Official PyTorch repo for JoJoGAN: One Shot Face Stylization
Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow