Chief Cao's Projects
在Android使用深度学习模型实现图像识别,本项目提供了多种使用方式,使用到的框架如下:Tensorflow Lite、Paddle Lite、MNN、TNN
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.
Config files for my GitHub profile.
Hikyuu Quant Framework 基于C++/Python的开源量化交易研究框架
blog后端代码
blog前端部分
ncnn is a high-performance neural network inference framework optimized for the mobile platform
The squeezenet image classification android example
OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
基于ros,opencv的视觉跟踪小车(python)
Stable Diffusion web UI
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and p