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. (by Daniil-Osokin)
DeepLabCut
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans (by DeepLabCut)
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| lightweight-human-pose-estimation.pytorch | DeepLabCut | |
|---|---|---|
| 2 | 12 | |
| 2,021 | 4,283 | |
| - | 2.2% | |
| 0.0 | 8.7 | |
| about 1 month ago | 12 days ago | |
| Python | Python | |
| Apache License 2.0 | GNU Lesser General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
lightweight-human-pose-estimation.pytorch
Posts with mentions or reviews of lightweight-human-pose-estimation.pytorch.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-09-29.
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Help finding an appropriate model for human pose estimation
Lightweight OpenPose: Runs in realtime >20fps confirmed, training code is provided
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How do I properly dissect a Github repo of a ML model?
Using https://github.com/Daniil-Osokin/lightweight-human-pose-estimation.pytorch as an example (or another repo, that was just one I found), could someone please give me a step by step process of how they read a repo for a research paper?
DeepLabCut
Posts with mentions or reviews of DeepLabCut.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-15.
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Landmark tracking / Pose estimation model training in TensorFlow :
Use DeepLabCut, I also strongly suggest that you should fund their work: https://github.com/DeepLabCut/DeepLabCut
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DeepLabCut alternatives - leap, DeepPoseKit, APT, sleap, and anipose
6 projects | 15 Jul 2022
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Help: Using CV to recognize angles and lines from a picture
DeepLabCut is also worth mentioning here
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Backyard AI dog poop detector walkthrough
1 - Detecting the dog's body parts was the most difficult portion of this, and thankfully I stumbled upon DeepLabCut (https://github.com/DeepLabCut/DeepLabCut) which enables training a model to track a specific animal(s) posture. In the video, this is basically the dots that are overlayed on top of the dog, and follower her around. DeepLabCut is basically just saying that this is where it thinks it recognizes "spine" and "tail".
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Built a dog poop detector for my backyard
I used https://github.com/DeepLabCut/DeepLabCut for the core dog tracking capability, then I wrote the code that analyzes the posture (output by the model, trained via DeepLabCut) of the dog.
I built a dog poop detector for my backyard using DeepLabCut (https://github.com/DeepLabCut/DeepLabCut) and some janky poop detection heuristics I wrote that processed on the detected posture of my dog, if it's in the frame of my security camera. If it detects my dog pooping, it will record the location in a CSV and draw all the locations on an up to date image of my backyard.
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[P] Built a dog poop detector for my backyard
Also, check out DeepLabCut. My project wouldn't have been possible without it, and it's really cool: https://github.com/DeepLabCut/DeepLabCut
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I want to create a pill counter using points instead of bounding boxes. What model should I train from?
Well you could try DeepLabCut - https://github.com/DeepLabCut/DeepLabCut
- DeepLabCut: Deep-learning based markerless pose estimation for all animals
- Can AI make 3d model using my 2d photos ?
What are some alternatives?
When comparing lightweight-human-pose-estimation.pytorch and DeepLabCut you can also consider the following projects:
BlazePose-tensorflow - A third-party Tensorflow Implementation for paper "BlazePose: On-device Real-time Body Pose tracking".
DeepPoseKit - a toolkit for pose estimation using deep learning
openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
AlphaPose - Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
sleap - A deep learning framework for multi-animal pose tracking.
openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
OpenCV - Open Source Computer Vision Library
kapao - KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.
Hekate-Toolbox - A toolbox for Hekate
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
pose-tensorflow - Human Pose estimation with TensorFlow framework
lightweight-human-pose-estimation.pytorch vs BlazePose-tensorflow
DeepLabCut vs DeepPoseKit
lightweight-human-pose-estimation.pytorch vs openpose
DeepLabCut vs yolov5
lightweight-human-pose-estimation.pytorch vs AlphaPose
DeepLabCut vs sleap
lightweight-human-pose-estimation.pytorch vs openpifpaf
DeepLabCut vs OpenCV
lightweight-human-pose-estimation.pytorch vs kapao
DeepLabCut vs Hekate-Toolbox
lightweight-human-pose-estimation.pytorch vs mediapipe
DeepLabCut vs pose-tensorflow