Webmaster chinese-ocr/ctpn/lib/roi_data_layer/roidb.py Go to file ooooverflow 1 Latest commit b21f2bc on Aug 20, 2024 History 1 contributor 134 lines (122 sloc) 5.54 KB Raw Blame import numpy as np import PIL from ..fast_rcnn.config import cfg from ..fast_rcnn.bbox_transform import bbox_transform from lib.utils.bbox import bbox_overlaps WebChinese OCR Red Hen uses Tessaract for Optical Character Recognition. Tesseract can be configured for Chinese characters. See Chinese Character Recognition Using Tessaract OCR. Which says: You need to download chinese trained data (it will be a file like chi_sim.traineddata) and add it to your tessdata folder.
chinese character recognition using Tesseract OCR
Webmaster chinese_ocr/Angle_model_file/component/image.py Go to file Cannot retrieve contributors at this time 441 lines (367 sloc) 12.8 KB Raw Blame # -*- coding: utf-8 -*- import six import base64 import numpy as np import cv2 from PIL import Image from io import BytesIO from numpy import cos, sin def base64_to_PIL (string): """ base64 string to PIL WebTNN中文字符ocr: 根据本项目,基于TNN实现的轻量级中文字符ocr demo,支持iOS和Android系统,凭借TNN优化的CPU(ARMv7、ARMv8)和GPU(OpenCL、Metal)后端加 … how to stop rpo madden 22
Top 5 Chinese OCR Tools in 2024 Nanonets Blog
Web2.1 Chinese Recognition Model 2.2 English Recognition Model 2.3 Multilingual Recognition Model(Updating...) 3. Text Angle Classification Model 4. Paddle-Lite Model The downloadable models provided by PaddleOCR include inference model, trained model, pre-trained model and nb model. The differences between the models are as follows: WebContribute to FlyStarFlyNow/chinese_ocr_lfs development by creating an account on GitHub. WebCnOCR is an Optical Character Recognition (OCR) toolkit for Python 3. It supports recognition of common characters in English and numbers, Simplified Chinese, Traditional Chinese (some models), and vertical text recognition. It comes with 20+ well-trained models for different application scenarios and can be used directly after installation. how to stop rss feeds in outlook 365