AlphaPose VS kapao

Compare AlphaPose vs kapao and see what are their differences.

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. (by wmcnally)
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AlphaPose kapao
4 1
7,635 738
1.2% -
0.0 0.0
3 months ago over 1 year ago
Python Python
GNU General Public License v3.0 or later GNU 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.

AlphaPose

Posts with mentions or reviews of AlphaPose. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-29.

kapao

Posts with mentions or reviews of kapao. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning kapao yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing AlphaPose and kapao you can also consider the following projects:

openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

mediapipe - Cross-platform, customizable ML solutions for live and streaming media.

mmpose - OpenMMLab Pose Estimation Toolbox and Benchmark.

BlazePose-tensorflow - A third-party Tensorflow Implementation for paper "BlazePose: On-device Real-time Body Pose tracking".

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.

openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.

VIBE - Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"

yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > TFLite

deep-high-resolution-net.pytorch - The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

tfjs - A WebGL accelerated JavaScript library for training and deploying ML models.