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animationsolver

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-deep-vision

A curated list of deep learning resources for computer vision

barinova_pedestrians_detection

Linux port of original Windows code from Olga Barinova

but_object_detection

Object Detection API for ROS maintained by Robo@FIT group from Brno University of Technology.

caffe

Caffe: a fast open framework for deep learning.

caffe-cvprw15

Implementation of the Deep Learning of Binary Hash Codes

caffe_windows_detection

The windows version of caffe for car detection

cnn-for-image-retrieval

:sunrise:The code of post "Image retrieval using MatconvNet and pre-trained imageNet"

cvpr14mtl

Scalable Multitask Representation Learning for Scene Classification

dand-right-whale-identification

deepdetect

Deep Learning API and Server in C++11 with Python bindings and support for Caffe

deepid_faceclassify

Practise of DeepID for Face Classification

deeplab

Working copy of DeepLab repository

deepqlearning

A powerful machine learning algorithm utilizing Q-Learning and Neural Networks, implemented using Torch and Lua.

detection-proposals

Evaluation of detection performance, recall, and repeatability of detection proposal algorithms

distro

Torch installation in a self-contained folder

dl-image-enhance

Automatic Photo Adjustment Using Deep Neural Networks

dvo_slam

Dense Visual Odometry and SLAM

harper.github.io

jsimgproc

Jethro's Image Processing Software.Super-Resolution Reconstruction is the most import feature in this software. It’s achieved by the algorithm Single-Image Super Resolution, based on theory of Compressed Sensing. This algorithm uses OMP (Orthogonal Matching Pursuit) to compute the sparse coding of images, K-SVD (K-means Singular Value Decomposition) to learn over-complete dictionary. With the collaboration between OMP and over-complete dictionary, low resolution image can be scaled-up and its high frequency information (texture, edge) can be recovered at some level. The result is better than simple interpolation, eg, linear interpolation, bi-cubic interpolation, etc. This algorithm is implemented using C++&OpenCV. The other features of this software are also implemented using C++&OpenCV. The GUI is designed using QT.

lire

Open source library for content based image retrieval

madlsh

Implement a custom lsh implementattion for image similarity retrieval.

mdp_tracking

Learning to Track: Online Multi-Object Tracking by Decision Making

meetanimation

从吴师兄算法中备份其github 仓库 `https://github.com/MisterBooo/LeetCodeAnimation`

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, and more

navigation_test

-- testing of the Hough Line & simple navigation algorithm

neuralart

An implementation of the paper 'A Neural Algorithm of Artistic Style'.

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

obj-detect-classifiers

Analysing object detection classifiers