mediapipe
AlphaPose
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mediapipe | AlphaPose | |
---|---|---|
41 | 4 | |
21,031 | 6,918 | |
4.3% | 2.5% | |
6.4 | 7.5 | |
6 days ago | 8 days ago | |
C++ | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
mediapipe
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Trained an ML model using TensorFlow.js to classify American Sign Language (ASL) alphabets on browser. We are creating an open-source platform and would love to receive your feedback on our project.
Medipaipe library link: https://mediapipe.dev/
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mediapipe VS daisykit - a user suggested alternative
2 projects | 24 Mar 2023
- Google Summer of code 2023 is coming
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10$ Full Body Tracking! I'm proud to release ToucanTrack (in Beta!). Get decent FBT with the power of 2 PS3 Eye Cameras and AI!
If you're looking for the differences in terms of how inference is done, I recommend you take a look at MediaPipe's source code. MediaPipe doesn't use raw code, but uses a "graph" instead (eg. pose_landmark_cpu.pbtxt), which can be visualised using MediaPipe Viz. I also used axinc-ai/ailia-models as the base (preprocessing, inference, postprocessing, etc...) which I further built upon (keypoint refinement, roi from keypoints, filtering / smoothing, etc...)
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Started working on this motion tracking prototype demo game in python and Unity!
I thought of doing that but unfortunately medipipe requires a RGB input and performs better with it more on that here
- obs-backgroundremoval: An OBS plugin for removing background in portrait video
- [N] Body tracking with TensorFlow
- I'm Addicted to Assets
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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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Show HN: YoHa – A practical hand tracking engine
This architecture was also used in the link referenced when bringing up alternative implementations:
https://github.com/google/mediapipe/issues/877#issuecomment-...
AlphaPose
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Help finding an appropriate model for human pose estimation
alphapose: havent tried it, but looks to run at 16fps (maybe faster?) but is only intended for research not commercial. Training script available.
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[P] Gait Recognition in the wild
The model is an ST-GCN trained in a completely unsupervised manner, from a LOT of skeleton sequences. Pose estimation was performed with AlphaPose, and tracked using SORT.
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Human Pose Estimation Recommendation
Link: https://github.com/MVIG-SJTU/AlphaPose
What are some alternatives?
openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
ue4-mediapipe-plugin - UE4 MediaPipe plugin
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
BlazePose-tensorflow - A third-party Tensorflow Implementation for paper "BlazePose: On-device Real-time Body Pose tracking".
jeelizFaceFilter - Javascript/WebGL lightweight face tracking library designed for augmented reality webcam filters. Features : multiple faces detection, rotation, mouth opening. Various integration examples are provided (Three.js, Babylon.js, FaceSwap, Canvas2D, CSS3D...).
mmpose - OpenMMLab Pose Estimation Toolbox and Benchmark.
bevy - A refreshingly simple data-driven game engine built in Rust
flutter_hand_tracking_plugin - 这是一个 Flutter Packge 以实现摄像头精确追踪并识别十指的运动路径/轨迹和手势动作, 且输出22个手部关键点以支持更多手势自定义. 基于这个包可以编写业务逻辑将手势信息实时转化为指令信息: 一二三四五, rock, spiderman...还可以对不同手势编写不同特效. 可用于短视频直播特效, 智能硬件等领域, 为人机互动带来更自然丰富的体验
tfjs-models - Pretrained models for TensorFlow.js
lightweight-human-pose-estimation.pytorch - Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement