Object_Detection_Tracking
Yolov7_StrongSORT_OSNet
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Object_Detection_Tracking | Yolov7_StrongSORT_OSNet | |
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1 | 1 | |
447 | 393 | |
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10.0 | 0.0 | |
over 1 year ago | 3 days ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 only |
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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
Yolov7_StrongSORT_OSNet
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Multicamera ReID
I have several cameras that stream via multiprocessing frames. With yolov7 I detect persons. Now I want to track and re-identify these persons across all streams. From the multiprocessing point of view this is no problem (shared list) but I don't know which method I can/should use. I tried something with StrongSort but there is a Kalman filter in it which would iritate the model because of wrong positions and velocities. Can someone help me? At the moment this StrongSort algorithm from Github works great. But the ReID does not take place logically there across streams.
What are some alternatives?
SnakeStrike - A Low-cost Open-source High-speed Multi-camera Motion Capture System.
mmtracking - OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
Mask_RCNN_tf_2.x - It is modified tensorflow 2.x version of mask-rcnn.
yolo_tracking - BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
articulated-animation - Code for Motion Representations for Articulated Animation paper
ByteTrack - [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
InstColorization
PaddleDetection - Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
JoJoGAN - Official PyTorch repo for JoJoGAN: One Shot Face Stylization