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crossscalestereo

Cross-Scale Cost Aggregation for Stereo Matching (CVPR 2014)

elas

Efficient Large-scale Stereo Matching.

fgi

This repo contains the code of FGI (ECCV 2016)

firmware

PX4 Pro Autopilot Software

handgesturepy

Static Hand Gesture detection using opencv python with hog features and SVM .

hsr

Hand signals recognition using Convolutional Neural Network implemented in TensorFlow

image_classification_with_5_methods

Compared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow

jointgeodesicupsampling

Joint geodesic upsampling

kcf_tracker

This is an implementation of paper "kernelized correalation filters tracker"

learning-opencv-3_examples

lee-slam-source

SLAM 开发学习资源与经验分享

mc-cnn

Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches

object-detector

Object Detection Framework using HOG as descriptor and Linear SVM as classifier.

openpose

OpenPose: A Real-Time Multi-Person Keypoint Detection And Multi-Threading C++ Library

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

sgm

Semi-Global Matching on the GPU

sgm-disparity

This is an implement of SGM -- Stereo Processing by Semiglobal Matching and Mutual Information by Heikoin 2008 IEEE

simple-sgm

Implementation of a simplified version of the SemiGlobal Matching algorithm (Hirschmuller, H. (2005). Accurate and Efficient Stereo Processing by Semi Global Matching and Mutual Information. CVPR .)

sncc_gpu

compute disparity map from stereo pair using SNCC matching function (GPU and CPU code provided)

stc_tracker

This is an implementation of "Fast Tracking via Spatio-Temporal Context Learning"

stereodisparitygpgpu

test1

vehicle_detection_hog_svm

Vehicle detection using HOG + SVM and sliding windows

yolo

YOLO VS2013 c++ code， Only need opencv, do not rely on the Caffe Library

yolo_tensorflow

tensorflow implementation of 'YOLO : Real-Time Object Detection'