Pinned Repositories
12306
12306智能刷票,订票
A-flexible-new-technique-for-camera-calibration
Source code for “Z. Zhang, <A flexible new technique for camera calibration>, IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(11):1330–1334, 2000.”
awesome_3d_slam_resources
记录3D视觉、VSLAM、计算机视觉的干货资料。
CVPR19-Face-Anti-spoofing
Code for 2nd Place Solution in Face Anti-spoofing Attack Detection Challenge @ CVPR2019
DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
FaceMaskDetection
开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.
insightface
State-of-the-art 2D and 3D Face Analysis Project
mmdetection
OpenMMLab Detection Toolbox and Benchmark
MobileFace
A face recognition solution on mobile device.
ZhangZhengYou
张正友标定法的数学原理以及python源码实现(详细)
FZWei-YYDS's Repositories
FZWei-YYDS/12306
12306智能刷票,订票
FZWei-YYDS/A-flexible-new-technique-for-camera-calibration
Source code for “Z. Zhang, <A flexible new technique for camera calibration>, IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(11):1330–1334, 2000.”
FZWei-YYDS/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
FZWei-YYDS/faceswap
Deepfakes Software For All
FZWei-YYDS/MobileFace
A face recognition solution on mobile device.
FZWei-YYDS/radial-distortion
径向畸变
FZWei-YYDS/sfd.gluoncv
Reproduce SFD face detector using gluon-cv
FZWei-YYDS/train-mtcnn
train mtcnn with mxnet
FZWei-YYDS/tsai
A simple implementation of the Tsai's camera calibration method.
FZWei-YYDS/tsai_calib_eigen
TSAI Algorithm implemented in C++ Eigen (part of SRG)
FZWei-YYDS/CVPR19-Face-Anti-spoofing
Code for 2nd Place Solution in Face Anti-spoofing Attack Detection Challenge @ CVPR2019
FZWei-YYDS/3Dreconstruction-project
3D重建
FZWei-YYDS/awsome-3D-Computer-Vision-Resources
总结3D视觉所涉及到的边边角角知识点,包括VSLAM、点云后处理、相机标定、深度学习等。
FZWei-YYDS/CamLaserCalibraTool
Extrinsic Calibration of a Camera and 2d Laser
FZWei-YYDS/CCTDecode
Detect and decode the CCT (Circular Coded Target).
FZWei-YYDS/CoD-Reconstruction
We use a simulation to study the effect of the image center of radial distortion displacement in 3D reconstruction
FZWei-YYDS/Defect-Pixel-Corrector
Defect Pixel Correction based on median Filter processing. This Application made by Visual Studio 2008(VC9) using C++ and MFC
FZWei-YYDS/FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019
Code for 3rd Place Solution in Face Anti-spoofing Attack Detection Challenge @ CVPR2019,model only 0.35M!!!
FZWei-YYDS/Fixed-Pattern-Noise-Correction
This Application aim to detect the lines using Sobel or my custom Algorithm. In image processing, this app associated with Edge Detection and Fixed pattern Noise.
FZWei-YYDS/GPU-Programming
Implementation of MTF measurement on Slanted Edge: ISO 12233:2017
FZWei-YYDS/helmet_detection
train, test and use
FZWei-YYDS/Helmet_Detection_YOLO
To detect helmets in real-time
FZWei-YYDS/k210_yolo_v2_face
K210 YOLO_V2 FACE DETECTION
FZWei-YYDS/MTF
FZWei-YYDS/Multi-chessboard-Corner-extraction-detection-
chess board corner extraction and chess board recovery "Automatic Camera and Range Sensor Calibration using a single Shot"
FZWei-YYDS/OCamCalib_undistortFunctions
FZWei-YYDS/PbootCMS
PbootCMS是全新内核且永久开源免费的PHP企业网站开发建设管理系统,是一套高效、简洁、 强悍的可免费商用的PHP CMS源码,能够满足各类企业网站开发建设的需要。系统采用简单到想哭的模板标签,只要懂HTML就可快速开发企业网站。官方提供了大量网站模板免费下载和使用,将致力于为广大开发者和企业提供最佳的网站开发建设解决方案。
FZWei-YYDS/Raw-Format-Convert-to-BMP
This application converts Raw files to Bitmap files according to file's width, height and bit-depth. Also you can choose output color type and Bayer Pattern
FZWei-YYDS/sfrmat3_cpp
c++实现的sfrmat
FZWei-YYDS/Visible-Light-based-Motion-Detection
By utilizing cameras with 640x480 image resolution , and by discretizing visible-light image information to individual pixel-based matrices, an 'iterative image subtraction' algorithm was developed to detect motion. The program initializes and normalizes images repetitively and stores the individual pixel values of the images in a dynamic array. Then, at a time interval determined by the user, the algorithm compares and re-intializes the pixel values of the image it obtains. A vary in pixel values (relative to an error function) is determined to be a motion. Several levels of sensitivity can be established by the user through varying values of the error function