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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

accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

adcrowd_pytorch_implementation

implementation of the ADCrowdNet in pytorch

asnet

awesome-crowd-counting

Awesome Crowd Counting

awesome-model-compression-and-acceleration

bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

cocoapi

COCO API - Dataset @ http://cocodataset.org/

coconlp

A Chinese information extraction tool.

computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

context-aware-crowd-counting

Official Code for Context-Aware Crowd Counting. CVPR 2019

craft-pytorch

Official implementation of Character Region Awareness for Text Detection (CRAFT)

crnn_tensorflow

Convolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition

crowd-counting-via-cross-stage-refinement-networks

Official code for Crowd Counting via Cross-stage Refinement Networks. TIP 2020

crowdcount-stackpool

PyTorch implementation of Stacked Pooling for Boosting Scale Invariance of Crowd Counting (ICASSP 2020)

db

A PyToch implementation of "Real-time Scene Text Detection with Differentiable Binarization".

dbnet.pytorch

A pytorch re-implementation of Real-time Scene Text Detection with Differentiable Binarization

deep-text-recognition-benchmark

Text recognition (optical character recognition) with deep learning methods.

deepdenoising

djl

An Engine-Agnostic Deep Learning Framework in Java

foolnltk

A Chinese Nature Language Toolkit

ghostnet

[CVPR2020] Surpassing MobileNetV3: "GhostNet: More Features from Cheap Operations"

human_counter

基于yolo3的人数统计程序

jionlp

中文 NLP 任务预处理工具包，准确、高效、零使用门槛

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

masktextspotterv3

The code of "Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting"

model-compression

model compression based on pytorch (1、quantization: 16/8/4/2 bits(dorefa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、ternary/binary value(twn/bnn/xnor-net)；2、 pruning: normal、regular and group convolutional channel pruning；3、 group convolution structure；4、batch-normalization folding for quantization)

models

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

ocrinaction

paddleocr

Awesome multilingual OCR toolkits based on PaddlePaddle （practical ultra lightweight OCR system, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices）