heibihehehe Goto Github PK

2ximageresolution

Rescale images to two times the original size using Decision Tree models. Matches and improves on traditional rescaling methods such as bilinear resampling. Noticable improvements on percieved sharpness of the image.

arm_neon_2_x86_sse

camlasercalibratool

Extrinsic Calibration of a Camera and 2d Laser

cnn-registration

A image registration method using convolutional neural network features.

company_shenlan_pro

companyporject

design-resource

A list of design resources.这是一个精美图片下载资源区

dirent

C/C++ library for retrieving information on files and directories

efficientlargescalestereo

Wrapper of ELAS Stereo Matcher for OpenCV

eye-gaze

Repository for Eye Gaze Detection and Tracking

gcforest

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

gcforest-1

Python implementation of deep forest method : gcForest

image-fusion

image-super-resolution

Implementation of Super Resolution CNN in Keras.

interview

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

learn_opencv

learning_opencv

logic.github.io

welcome to my world!

logicworld.github.io

for set blog

my-blog

马云云在Github的学习片段

my-first-index

asas

my-note

this a repository for show all the notes

online-stereo-calibration

patchmatchstereo

PatchMatch，倾斜窗口经典，效果极佳，OpenMVS&Colmap稠密匹配算法。完整实现，代码规范，注释清晰，博客教学，欢迎star！

pupil

Open source eye tracking

pygazeanalyser

Analysis and high-level plotting toolbox for eye-tracking data

quicksilver

Predictive Image Registration

random-forest

Randomized Decision Trees: A Fast C++ Implementation of Random Forests.

randomerforest

Discriminant Projection Forest results, datasets, etc.

randomforest

Python implementation of a random forest for use with continuous value attributes