将 TensorFlow Lite 模型转换为 ONNX

ONNX 旨在将深度学习框架联系在一起。TF2ONNX 将 TensorFlow 模型转换为 ONNX ，这样其他深度学习系统可以从 TensorFlow 的功能中受益。但 TF2ONNX 当前不支持量化。并且有些模型仅以 TensorFlow Lite 格式发布。本文介绍了 TFLite2ONNX ，它能将量化的 TFLite 模型转换为 ONNX 。

Convert TensorFlow Lite Models to ONNX

ONNX aims to bridge deep learning frameworks together. TF2ONNX was built to translate TensorFlow models to ONNX, therefore other deep learning systems can benefit from TensorFlow functionality. However, TF2ONNX currently doesn't support quantization. This article introduces TFLite2ONNX which converts TensorFlow Lite models to ONNX with quantization semantic translation enabled.

旅拍与剪辑体验

夏初去新疆玩，第一次用无人机拍了视频。整个过程下来，更能体会视频创作的不易。

我想去流浪

Introducing TFLite Parser Python Package

I have being maintaining the TFLite parser python package since September 2019. With which people can parse TensorFlow Lite models with one single import tflite.

新型肺炎见闻

五四运动已经过去一百多年，「德先生」、「赛先生」在我国尚未能立足。