tensorflow-yolo-ios

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tensorflow-yolo-ios

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Real time object detection demo App with Yolo on iOS based on tensorflow framework

// repository documentation

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# Slack Channel for Deep Learning Communication:

```
https://deep-learning-geeks-slack.herokuapp.com/
```

# Tensorflow-Yolo-iOS

![Demo](https://user-images.githubusercontent.com/8921629/27118191-12729fc2-508f-11e7-8fea-03881b632004.PNG)

# Dependencies

[Tensorflow 1.1.0](https://github.com/tensorflow/tensorflow/tree/v1.1.0)

[Swift 3](https://swift.org/blog/swift-3-0-released/)

[DeepBelief](https://github.com/jetpacapp/DeepBeliefSDK)

[Git LFS](https://git-lfs.github.com/)

# Note

1. This repo is build and modifided based on [enVision](https://github.com/IDLabs-Gate/enVision), which is built with tensorflow < 1.* ;

2. Since, there's a quite big dependencies folder with tensorflow v1.1.0 static built and re-organization, we used [Git LFS](https://git-lfs.github.com/) to store all the big files. It means, when you try to build this project locally, make sure you have git lfs installed and fetch all codes ;

Do following:

```
brew install git-lfs
git lfs install
git lfs clone https://github.com/KleinYuan/tensorflow-yolo-ios
```

3. A frozen tiny-yolo tensorflow model is provided by default, with VOC data trained. If you want to do an end-to-end (meaning, train yolo on darknet -> translate -> freeze model -> implement on iOS), you may need [this](https://github.com/thtrieu/darkflow)

tensorflow-yolo-ios

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