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Tom's Projects

bilibiliapidocs icon bilibiliapidocs

哔哩哔哩开放接口第三方文档(仅提供官方曾公开接口)

chineseocr_lite icon chineseocr_lite

超轻量级中文ocr,支持竖排文字识别, 支持ncnn推理 , dbnet(1.7M) + crnn(6.3M) + anglenet(1.5M) 总模型仅10M

coco2voc icon coco2voc

Yet another coco2voc.py, convert MSCOCO json to PASCAL VOC xml in Object Detection.

crnn icon crnn

Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

crnn-pytorch icon crnn-pytorch

Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.

davar-lab-ocr icon davar-lab-ocr

The implementations of some works from Davar-Lab. Currently we have the code of Text Perceptron (AAAI 2020). Some works' code will be published soon, including YORO (ACMMM 2019) , TRIE (ACMMM2020), FREE(TIP 2020), SPIN (AAAI 2021), MANGO (AAAI2021), etc.

dbnet icon dbnet

This is a tensorflow2.x implementation of "Real-time Scene Text Detection with Differentiable Binarization"

diff-pdf icon diff-pdf

Compare PDF documents using PDF Miner and print out the differences as HTML documents

document-scanner-using-opencv-python icon document-scanner-using-opencv-python

• In this project, you will learn how to extract email and phone number from a business card or any document and save the output in a JSON file. • Initially we need to resize the images so OpenCV can handle it and then the following steps are applied-detecting the edges, finding contours, applying perspective transform to get top-down view, using pytesseract to extract text and then finally using regex expressions to identify only email and phone number.

fast-chinese-ocr icon fast-chinese-ocr

该项目采用最前沿的AI算法,针对合同扫描文档进行识别和抽取。

flake8 icon flake8

The official GitHub mirror of https://gitlab.com/pycqa/flake8

invoicenet icon invoicenet

Deep neural network to extract intelligent information from invoice documents.

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