solrex/caffe-mobile
Optimized (for size and speed) Caffe lib for iOS and Android with out-of-the-box demo APP.
This project helps mobile application developers integrate powerful machine learning capabilities directly into their iOS and Android apps. It takes pre-trained Caffe models (like those for image recognition) and optimizes them for size and speed on mobile devices, allowing developers to embed AI features without relying on cloud services. The end users are mobile developers looking to add on-device intelligence to their applications.
313 stars. No commits in the last 6 months.
Use this if you are a mobile developer who wants to run Caffe-based machine learning models directly on user devices for iOS or Android, ensuring privacy and offline functionality.
Not ideal if you need to train new Caffe models on the mobile device itself, require backward propagation, or are working with NDK versions r16 or newer.
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313
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118
Language
C++
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Last pushed
Aug 07, 2018
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