Pinned Repositories
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人脸识别活体验证
-2
PyQt5+Caffe+Opencv人脸检测用户登录
2019-CCF-BDCI-OCR-MCZJ-OCR-IdentificationIDElement
2019CCF-BDCI大赛 最佳创新探索奖获得者 基于OCR身份证要素提取赛题冠军 天晨破晓团队 赛题源码
4dface
Real-time 3D face tracking and reconstruction from 2D video
adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"
AmazonCaptcha
Amazon验证码机器学习破解
CNN-for-Face-Image-Retrieval
:apple:Face image rerieval
DewarpNet
Code for the paper "DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks" (ICCV '19)
Face-Resources
FaceRecognition-tensorflow
基于TensorFlow训练的人脸识别神经网络
wyc2015fq's Repositories
wyc2015fq/DewarpNet
Code for the paper "DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks" (ICCV '19)
wyc2015fq/2019-CCF-BDCI-OCR-MCZJ-OCR-IdentificationIDElement
2019CCF-BDCI大赛 最佳创新探索奖获得者 基于OCR身份证要素提取赛题冠军 天晨破晓团队 赛题源码
wyc2015fq/Box_Discretization_Network
Omnidirectional Scene Text Detection with Sequential-free Box Discretization (IJCAI 2019). Including competition model, online demo, etc.
wyc2015fq/card-crnn-ctpn
CTPN+CRNN bank card number identification(data/test pictures accuary ≈90%)
wyc2015fq/CCPD
[ECCV 2018] CCPD & PDRC: a diverse and well-annotated dataset for license plate detection and recognition
wyc2015fq/cstd
wyc2015fq/ctpn-crnn
竖排书法汉字识别
wyc2015fq/DB
A PyToch implementation of "Real-time Scene Text Detection with Differentiable Binarization".
wyc2015fq/DocFace
Face recognition system for ID photos
wyc2015fq/DocProj
Document Rectification and Illumination Correction using a Patch-based CNN
wyc2015fq/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!!! 1.88ms(CPU)
wyc2015fq/ICDAR2019_cTDaR
The ICDAR 2019 cTDaR is to evaluate the performance of methods for table detection (TRACK A) and table recognition (TRACK B). For the first track, document images containing one or several tables are provided. For TRACK B two subtracks exist: the first subtrack (B.1) provides the table region. Thus, only the table structure recognition must be performed. The second subtrack (B.2) provides no a-priori information. This means, the table region and table structure detection has to be done.
wyc2015fq/image-text-localization-recognition
A general list of resources to image text localization and recognition 场景文本位置感知与识别的论文资源汇总 シーンテキストの位置認識と識別のための論文リソースの要約
wyc2015fq/kiss
Code for the paper "KISS: Keeping it Simple for Scene Text Recognition"
wyc2015fq/LaTeX_OCR
:gem: 数学公式识别 Math Formula OCR
wyc2015fq/MaskInsightface
基于人脸关键区域提取的人脸识别（LFW:99.82%+ CFP_FP:98.50%+ AgeDB30:98.25%+）
wyc2015fq/NoiseFace
Noise-Tolerant Paradigm for Training Face Recognition CNNs
wyc2015fq/ocr_chinese
图像文字检测模型(EAST/AdvancedEAST)，及包含文字识别模型(CRNN+CTC)，Keras/TensorFlow实现.
wyc2015fq/PCN-FaceDetection-FaceAlignment
Progressive Calibration Networks (PCN) is an accurate rotation-invariant face detector running at real-time speed on CPU, published in CVPR 2018.
wyc2015fq/PCN-ncnn
PCN based on ncnn framework.
wyc2015fq/PIXIE
wyc2015fq/SAR_TF
This is an implementation of Show, Attend and Read with tensorflow
wyc2015fq/SceneTextPapers
Tracking the latest progress in Scene Text Detection and Recognition: Must-read papers well organized
wyc2015fq/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
wyc2015fq/TableCell
在TableBank的基础上，进一步标注到单元格精度，利用目标检测/分割实现单元格定位。
wyc2015fq/Tensorflow-HED-RCF
HED and RCF implementation for edge detection on Tensorflow
wyc2015fq/tensorflow_PSENet
This is a tensorflow re-implementation of PSENet: Shape Robust Text Detection with Progressive Scale Expansion Network.My blog:
wyc2015fq/TextGenerator
OCR dataset Text-Detection dataset Font-Classification dataset generator
wyc2015fq/Ultra-Light-Fast-Generic-Face-Detector-1MB
💎 1MB轻量级人脸检测模型 (1MB lightweight face detection model)
wyc2015fq/vedastr
A scene text recognition toolbox based on pytorch