mmtracking
mmhuman3d
| mmtracking | mmhuman3d | |
|---|---|---|
| 7 | 5 | |
| 3,382 | 1,124 | |
| 1.6% | 1.9% | |
| 1.5 | 2.5 | |
| 8 months ago | 8 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
mmtracking
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Tracking sets of Keypoints by Person
I suggest to try the top down approach with the https://openmmlab.com/ open source package. The openmmlab provides multiple algorithms, datasets and pretrained models for various computer vision tasks. Start with mmpose video demo that integrates detection and pose estimation. You can add later tracking with https://github.com/open-mmlab/mmtracking to track the poses in time.
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MMDeploy: Deploy All the Algorithms of OpenMMLab
MMTracking: OpenMMLab video perception toolbox and benchmark.
- [P]We have supported Quasi-Dense Similarity Learning for Multiple Object Tracking.
- [p]We have supported Quasi-Dense Similarity Learning for Multiple Object Tracking
- MMTracking have supported Quasi-Dense Similarity Learning for Multiple Object Tracking.
- MMTracking Supports Quasi-Dense Similarity Learning for Multiple Object Tracking
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Help combining custom detector (yolo) with a tracker.
Implementations exist, like https://github.com/open-mmlab/mmtracking
mmhuman3d
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MMDeploy: Deploy All the Algorithms of OpenMMLab
MMHuman3D: OpenMMLab 3D human parametric model toolbox and benchmark.
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What software can convert camera footage to a skeleton animation?
You might want to check out https://github.com/open-mmlab/mmhuman3d and https://github.com/google/mediapipe
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MMHuman3D
We have released an @OpenMMLab human pose and shape estimation toolbox "MMHuman3D":
https://github.com/open-mmlab/mmhuman3d
- Popular methods with a modular framework
What are some alternatives?
ByteTrack - [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
mmfewshot - OpenMMLab FewShot Learning Toolbox and Benchmark
PaddleDetection - Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
mmflow - OpenMMLab optical flow toolbox and benchmark
norfair - Lightweight Python library for adding real-time multi-object tracking to any detector.
mim - MIM Installs OpenMMLab Packages
Yolov7_StrongSORT_OSNet - Real-time multi-camera multi-object tracker using YOLOv7 and StrongSORT with OSNet
mmcv - OpenMMLab Computer Vision Foundation
mmyolo - OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
openvino - OpenVINOâ„¢ is an open-source toolkit for optimizing and deploying AI inference