KleinYuan/Caffe2-iOS
Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.
This project helps iOS app developers integrate real-time object classification into their applications. It takes pre-trained Caffe2 deep learning models and enables them to run directly on an iPhone, analyzing images from the camera or photo library. The output is real-time object detection and classification, ideal for developers creating mobile AI experiences.
226 stars. No commits in the last 6 months.
Use this if you are an iOS developer looking to embed real-time object recognition capabilities into your mobile applications using Caffe2 models.
Not ideal if you are not an iOS developer or if you need to train deep learning models, as this project focuses on deployment, not training.
Stars
226
Forks
43
Language
C++
License
MIT
Category
Last pushed
Aug 27, 2017
Commits (30d)
0
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