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2dmorphing

2D Image Morphing Algorithms based on mesh warping. C++ project, which is transplanted from the c codes given by Yurong Sun and George Wolberg. Details: http://davis.wpi.edu/~matt/courses/morph/2d.htm

action_recog

fork from https://github.com/yjxiong/caffe

aistartups

Startups about artificial intelligence. (DM, ML, NLP, CV...)

android-opencv-lanedetection

Android app which detects road lanes, overlays using red lines and monitor driving performance

autocollage

论文 AutoCollage的实现

benchmark_results

visual tracker benchmark results

caffe-deconvnet

A deconvolutional network in caffe

caffe-face

This branch is developed for deep face recognition

caffe-stn

Spatial Transformer Network Implementation in Caffe

caffe-yolo

YOLO (Real-Time Object Detection) in caffe

caffe2-ios

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

caffe_manual

Caffe使用教程

cc_vim_setting

cnn_visualization

An implementation of CNN visualization.

code

Code for the book "Mastering OpenCV with Practical Computer Vision Projects" by Packt Publishing 2012.

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

convenienttools

Some convenient tools

cpp-poisson-image-editing-2010

2010 年に実装した Poisson Image Editing

cs_thesis_zju

XeTeX template for ZJU Computer Science undergraduate thesis

csp

High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection, CVPR, 2019

darknet_deconv

implementation of deconvlutional layer in darknet

deep-compression-alexnet

Deep Compression on AlexNet

deep-residual-networks

Deep Residual Learning for Image Recognition

deepid_faceclassify

Practise of DeepID for Face Classification

deeplearning

Deep Learning (Python, C/C++, Java)

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

dehazing

dehazing pro

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

enet-training