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posenet-on-ios

★ 33 Open GitHub ↗

track human poses in realtime on iOS with tensorflow-lite and opencv

// repository documentation

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# Tensorflow-lite Posenet RealTime

## 1. Demo
![](http://www.ibbwhat.com/image1.gif)
![](http://www.ibbwhat.com/image3.gif)
![](http://www.ibbwhat.com/image4.gif)

## 2. Requirements:
- [Apple Developer Program Account](https://opencv.org/releases.html) (Simulator doesn’t have a camera)
- [Xcode 9.2](https://developer.apple.com/xcode/)
- [OpenCV 3.3.1 iOS Pack](https://opencv.org/releases.html)
- [Git LFS](https://git-lfs.github.com/)
- [Tensorflow-lite](https://www.tensorflow.org/lite/)
- any iOS device with a decent camera

## 3. Code reference

- Opencv 
  Example application made for [this post](https://medium.com/@dwayneforde/image-recognition-on-ios-with-swift-and-opencv-b5cf0667b79).

- Tensorflow 
  Example application made for [this post](https://www.tensorflow.org/lite/models/segmentation/overview)

- Model File: 
  PoseNet for pose estimation [download](https://storage.googleapis.com/download.tensorflow.org/models/tflite/gpu/multi_person_mobilenet_v1_075_float.tflite)
    (vision model that estimates the poses of a person(s) in image or video)

- Paper:
  Multi-person Pose Estimation [this post](https://arxiv.org/pdf/1803.08225.pdf).

## 4. Installation:
```
git clone https://github.com/toniz/posenet-on-ios.git
cd posenet-on-ios/
pod install
open PosenetOnIOS.xcworkspace
```

posenet-on-ios

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