Object_Detection_Tracking VS Mask_RCNN_tf_2.x

Compare Object_Detection_Tracking vs Mask_RCNN_tf_2.x and see what are their differences.

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 (by JunweiLiang)

Mask_RCNN_tf_2.x

It is modified tensorflow 2.x version of mask-rcnn. (by BupyeongHealer)
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Object_Detection_Tracking Mask_RCNN_tf_2.x
1 1
447 48
- -
10.0 10.0
over 1 year ago over 2 years ago
Python Python
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Object_Detection_Tracking

Posts with mentions or reviews of Object_Detection_Tracking. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-26.

Mask_RCNN_tf_2.x

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.
  • DeepCreamPy & Hent-AI Guide: Installation and anime censorship removal (Version 2)
    4 projects | /r/AnimeResearch | 20 Oct 2022
    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?

When comparing Object_Detection_Tracking and Mask_RCNN_tf_2.x you can also consider the following projects:

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