wishgale's starred repositories
Python-100-Days
Python - 100天从新手到大师
PaddleOCR
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
pytorch-handbook
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
TeachYourselfCS-CN
TeachYourselfCS 的中文翻译 | A Chinese translation of TeachYourselfCS
algorithm-pattern
算法模板,最科学的刷题方式,最快速的刷题路径,你值得拥有~
computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
Dango-Translator
团子翻译器 —— 个人兴趣制作的一款基于OCR技术的翻译器
Chinese-Text-Classification-Pytorch
中文文本分类,TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention,DPCNN,Transformer,基于pytorch,开箱即用。
awesome-Face_Recognition
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;
Ultra-Fast-Lane-Detection
Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)
SiamTrackers
(2020-2022)The PyTorch version of SiamFC,SiamRPN,DaSiamRPN, UpdateNet , SiamDW, SiamRPN++, SiamMask, SiamFC++, SiamCAR, SiamBAN, Ocean, LightTrack , TrTr, NanoTrack; Visual object tracking based on deep learning
few-shot-object-detection
Implementations of few-shot object detection benchmarks
ReID_tutorial_slides
《深度学习与行人重识别》课程课件
darknet_face_with_landmark
加入关键点的darknet训练框架,轻量级的人脸检测,支持ncnn推理
AlphaVideo
Vision toolbox for video related tasks including action recognition, multi-object tracking.
kaggle-dfdc
2nd place solution for Kaggle Deepfake Detection Challenge
ShelfNet-Human-Pose-Estimation
Fast and accurate Human Pose Estimation using ShelfNet with PyTorch
carrier-of-tricks-for-classification-pytorch
carrier of tricks for image classification tutorials using pytorch.
quasi-dense
The code is available at https://github.com/ethvis/qd-track
AutonomousCar
AutonomousCar