tf-openpose Based iOS Project
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README.md

SwiftOpenPose

This project was developed by transplanting tf-openpose to Swift.
Community cooperation is welcome.

swiftopenpose_result

Environment

  • iOS11
  • Xcode9

Training Model

There are two learning models available for this project.

Performance comparison

  • BenchMark Hardware: iPad 2017
    • OpenPose Caffe-Model
      • processing time .. range 2-4 Sec.
    • tf-openpose Mobilenet Model
      • processing time .. Less than 1 sec

Dependencies Library

Installation

$ git clone https://github.com/infocom-tpo/SwiftOpenPose.git
$ cd SwiftOpenPose
$ pod install
$ curl -o SwiftOpenPose/Resources/MobileOpenPose.mlmodel \
https://s3-ap-northeast-1.amazonaws.com/swiftopenpose/MobileOpenPose.mlmodel

Examples

  • Bone Detecter
    This app exports a video with detected bones to photo library.
    You can shoot or select a video to detect bones.

before1 after1

iTunes Store App

Stickman Animator

Stickman Animator is an app to make animations of stickman from videos of people.

Blogs

Reference

Development By Infocom TPO

Infocom TPO

License

SwiftOpenPose is available under the MIT license. See the LICENSE file for more info.

Citation

@inproceedings{cao2017realtime,
  author = {Zhe Cao and Tomas Simon and Shih-En Wei and Yaser Sheikh},
  booktitle = {CVPR},
  title = {Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields},
  year = {2017}
}