AlphaPose VS deep-high-resolution-net.pytorch

Compare AlphaPose vs deep-high-resolution-net.pytorch and see what are their differences.

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AlphaPose deep-high-resolution-net.pytorch
4 4
7,653 4,190
1.4% -
0.0 0.0
3 months ago over 1 year ago
Python Cuda
GNU General Public License v3.0 or later MIT License
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.

deep-high-resolution-net.pytorch

Posts with mentions or reviews of deep-high-resolution-net.pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-14.
  • Deadlift videos needed [AI]
    2 projects | /r/powerlifting | 14 Sep 2022
    I am sure you have some great ideas in mind for your model design, but a quick tip (from having worked on a similar project) - it may be very challenging to simply take raw videos as input (especially with unconstrained camera viewpoints) without doing some feature extraction/keypoint detection first. For example, open-source plug-and-play 2D keypoint detectors are extremely good nowadays (e.g HRNet), and explicitly detecting 2D keypoints before classifying deadlift videos as "good" or "bad" will likely make the task more feasible!
  • Help finding an appropriate model for human pose estimation
    9 projects | /r/computervision | 29 Sep 2021

What are some alternatives?

When comparing AlphaPose and deep-high-resolution-net.pytorch 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"

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.