Chai Anan's starred repositories
pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
IntelliJ-IDEA-Tutorial
IntelliJ IDEA 简体中文专题教程
tfjs-models
Pretrained models for TensorFlow.js
deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
chinese_ocr
CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras
deepdetect
Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
hexo-theme-next
🎉 Elegant and powerful theme for Hexo.
crnn.pytorch
Convolutional recurrent network in pytorch
Awesome-Image-Inpainting
A curated list of image inpainting and video inpainting papers and resources
CRNN_Chinese_Characters_Rec
(CRNN) Chinese Characters Recognition.
light-LPR
Light-LPR is an open source project aimed at license plate recognition that can run on embedded devices, mobile phones, and x86 platforms. It aims to support license plate recognition in various scenarios. The accuracy rate of license plate character recognition exceeds 99.95%, and the comprehensive recognition accuracy rate exceeds 99.%, Support multi-country and multilingual license plate recognition.
License_Plate_Detection_Pytorch
A two stage lightweight and high performance license plate recognition in MTCNN and LPRNet
crnn-pytorch
Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.
crnn_seq2seq_ocr_pytorch
Extremely simple implement for Chinese OCR by PyTorch.
CaffeLSTM-OCR
基于caffe的LSTM OCR案例,能够利用该案例完成序列的识别,包括验证码、车牌、身份证号码、地址等长序列动长的内容识别
darknet2caffe
Convert darknet weights to caffemodel
caffe-onnx
caffe model convert to onnx model
m3inference
A deep learning system for demographic inference (gender, age, and individual/person) that was trained on massive Twitter dataset using profile images, screen names, names, and biographies
Caffe_SSD_LSTM_LPR
基于SSD+Resnet+CTC的中文车牌检测识别