{"repo":"hikopensource/DAVAR-Lab-OCR","free":true,"listed":false,"github":"https://github.com/hikopensource/DAVAR-Lab-OCR","clone":"git clone https://github.com/hikopensource/DAVAR-Lab-OCR.git","description":"OCR toolbox from Davar-Lab","language":"Python","stars":762,"topics":["ocr","dar"],"license":"Apache-2.0","category":"media-processing","readme_excerpt":"DAVAR-OCR This is the opensourced OCR repository of DAVAR Lab, from Hikvision Research Institute, China. We begin to maintain this code repository to release the implementations of our recent academic publishments and some re-implementations of previous popular algorithms/modules in OCR. We also provide some of the ablation experiment comparasions for better reproduction. A short paper introduces DavarOCR is available at arxiv. Note: Due to the policy limits of the company. All of the codes were re-implemented based on the open-source frameworks, mmdetection-2.11.0 and mmcv-1.3.4, from open-mmlab. The code architecture also refers to mmocr, which means these two frameworks can be well compatible to each other. Implementations To date, davarocr contains the following algorithms: Basic OCR Tasks Text Detection - [x] EAST (CVPR 2017) - [x] MASK RCNN (ICCV 2017) - [x] Text Perceptron Det (AAAI 2020) Text Recognition - [x] Attention (CVPR 2016) - [x] CRNN (TPAMI 2017) - [x] ACE (CVPR 2019) - [x] SPIN (AAAI 2021) - [x] RF-Learning (ICDAR 2021) Text Spotting - [x] Mask RCNN E2E - [x] Text Perceptron E2E (AAAI 2020) - [x] MANGO (AAAI 2021) - [x] DLD (ECCV 2022) Video Text Spotting - [x] YORO (ACM MM 2019) Document Understanding Tasks Information Extraction - [x] Chargrid (EMNLP 2018) - [x] TRIE (ACM MM 2020) Table Recognition - [x] LGPMA (ICDAR 2021) Table Understanding - [x] CTUNet (ACMMM 2022) Layout Recognition - [x] VSR (ICDAR 2021) Reading Order Detection - [x] GCN-PN (ECCV 2020","default_branch":null,"files":null,"tree":[],"storefront":"/r/hikopensource","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/hikopensource/DAVAR-Lab-OCR/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}