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makeup

让你的“女神”逆袭，代码撸彩妆（画妆）

megengine

MegEngine 是一个快速、可拓展、易于使用且支持自动求导的数值计算框架

metartc

A cross-platform WebRTC SDK

mini-caffe

Minimal runtime core of Caffe, Forward only, GPU support and Memory efficiency.

mobile-deep-learning

This research aims at simply deploying CNN(Convolutional Neural Network) on mobile devices, with low complexity and high speed.

mobile-deep-learning-1

Baidu mobile-deep-learning for Android demo , which can debug with c++ code

mobilenet-ssd

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

mobilenetssd_caffe

How to train and verify mobilenet by using voc pascal data in caffe ssd?

mobilenetssd_demo_andoridncnn

model-compression

This is my final year project of Bachelor of Engineering. Its still incomplete though. I am trying to replicate the research paper "Deep Compression" by Song Han et. al. This paper received best paper award in ICLR 2016

models

Models and examples built with TensorFlow

msopengl

openGL 美白，萌新特效

mtcnn_caffe

Simple implementation of kpzhang93's paper from Matlab to c++, and don't change models.

mtcnn_ncnn

基于ncnn框架搭建win及android端的MTCNN人脸检测工程

multi-target-tracker

基于粒子滤波算法实现多目标实时跟踪

mvision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

mygithubpage

nanodet

⚡Super fast and lightweight anchor-free object detection model. 🔥Only 1.8mb and run 97FPS on cellphone🔥

nativecppapp

志哥博客《视觉滤镜编码》《OpenGL.Shader进阶》项目工程

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

ndk_opengles_3_0

Android OpenGL ES 3.0 从入门到精通系统性学习教程

neural-engine

Everything we actually know about the Apple Neural Engine (ANE)

npd

C++ implementation of Fast-and-Accurate-Unconstrained-Face-Detector

nvcaffe-0.16

onnx-simplifier

Simplify your onnx model

onnx2caffe

pytorch to caffe by onnx

opencl-clhpp

Khronos OpenCL-CLHPP

opencldemo_android

Android call oepncl api by ndk use cmake

opencv

Open Source Computer Vision Library

opencv-mobile

The minimal opencv for Android, iOS and ARM Linux