TensorFlow Lite

https://tensorflow.google.cn/lite

Deploy machine learning models on mobile and edge devices

TensorFlow Lite is a mobile library for deploying models on mobile, microcontrollers and other edge devices.

 

TensorFlow Lite

 

 

TensorFlow Lite is a set of tools that enables on-device machine learning by helping developers run their models on mobile, embedded, and edge devices.

Key features

• Optimized for on-device machine learning, by addressing 5 key constraints: latency (there's no round-trip to a server), privacy (no personal data leaves the device), connectivity (internet connectivity is not required), size (reduced model and binary size) and power consumption (efficient inference and a lack of network connections).
• Multiple platform support, covering Android and iOS devices, embedded Linux, and microcontrollers.
• Diverse language support, which includes Java, Swift, Objective-C, C++, and Python.
• High performance, with hardware acceleration and model optimization.
• End-to-end examples, for common machine learning tasks such as image classification, object detection, pose estimation, question answering, text classification, etc. on multiple platforms.

https://github.com/fanqingsong/PoseDetectionApp