openpifpaf
human-action-classification
Our great sponsors
openpifpaf | human-action-classification | |
---|---|---|
1 | 1 | |
1,127 | 199 | |
0.9% | - | |
4.4 | 1.8 | |
4 months ago | over 2 years ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
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.
openpifpaf
-
Human Pose Estimation Recommendation
OpenPifPaf is decent, easier to install on newer systems than OpenPose imo.
human-action-classification
-
Exercise recognition using HRNet
Train another classification model for each exercise which will be feed with image with drawn keypoints. Something like this - https://github.com/dronefreak/human-action-classification
What are some alternatives?
mmpose - OpenMMLab Pose Estimation Toolbox and Benchmark.
Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
AlphaPose - Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
ActionAI - Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints
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.
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:
posenet-python - A Python port of Google TensorFlow.js PoseNet (Real-time Human Pose Estimation)
AI-basketball-analysis - :basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.
tensorflow_Realtime_Multi-Person_Pose_Estimation - Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3
Keypoint_Communities - [ICCV '21] In this repository you find the code to our paper "Keypoint Communities".
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.