https://github.com/kleinyuan/tensorflow-yolo-ios
Real time object detection demo App with Yolo on iOS based on tensorflow framework
https://github.com/kleinyuan/tensorflow-yolo-ios
darknet deep-learning deep-neural-networks deepbelief ios real-time swift tensorflow tiny-yolo yolo
Last synced: 23 days ago
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Real time object detection demo App with Yolo on iOS based on tensorflow framework
- Host: GitHub
- URL: https://github.com/kleinyuan/tensorflow-yolo-ios
- Owner: KleinYuan
- License: mit
- Created: 2017-06-07T17:39:45.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2017-06-16T20:02:13.000Z (almost 8 years ago)
- Last Synced: 2025-03-26T05:33:10.268Z (about 1 month ago)
- Topics: darknet, deep-learning, deep-neural-networks, deepbelief, ios, real-time, swift, tensorflow, tiny-yolo, yolo
- Language: C++
- Homepage:
- Size: 552 KB
- Stars: 24
- Watchers: 4
- Forks: 8
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Slack Channel for Deep Learning Communication:
```
https://deep-learning-geeks-slack.herokuapp.com/
```
# Tensorflow-Yolo-iOS
# 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)