wc666666 (Wc66666)

Wc66666

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Aggregation-Cross-Entropy

Aggregation Cross-Entropy for Sequence Recognition. CVPR 2019.

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AlphaTree-graphic-deep-neural-network

将深度神经网络中的一些模型 进行统一的图示,便于大家对模型的理解

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awesome-deep-text-detection-recognition

A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.

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Chinese_OCR_CNN-RNN-CTC

中文手写汉字识别

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chineseocr_lite

超轻量级中文ocr,支持竖排文字识别, 支持ncnn推理 , psenet(8.5M) + crnn(6.3M) + anglenet(1.5M) 总模型仅17M

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CRAFT-Reimplementation

CRAFT-Pyotorch:Character Region Awareness for Text Detection Reimplementation for Pytorch

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CRAFT-Remade

Implementation of CRAFT Text Detection

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crnn-mxnet-chinese-text-recognition

An implementation of CRNN (CNN+LSTM+warpCTC) on MxNet for chinese text recognition

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crnn.pytorch

A pytorch re-implementation of Convolutional recurrent network in pytorch

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cv-papers

计算机视觉相关论文整理、记录、分享; 包括图像分类、目标检测、视觉跟踪/目标跟踪、人脸识别/人脸验证、OCR/场景文本检测及识别等领域。欢迎加星,欢迎指正错误,同时也期待能够共同参与!!! 持续更新中... ...

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cvpr2019

cvpr2019 papers,极市团队整理

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deep-text-recognition-benchmark

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

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imgaug

Image augmentation for machine learning experiments.

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lihang-code

《统计学习方法》的代码实现

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MegReader

A research project for text detection and recognition using PyTorch 1.2.

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ocr-handwriting-recognition

This is a english handwriting recognition project

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ocr_invoice

ocr system of invoice

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PAN-PSEnet

Pytorch implementation of PSEnet with Pyramid Attention Network as feature extractor

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PMTD

Pyramid Mask Text Detector designed by SenseTime Video Intelligence Research team.

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PolarMask

Code for 'PolarMask: Single Shot Instance Segmentation with Polar Representation'

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PSENet-Plus

PSENet Pytorch版本的优化与增强

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stela

Scene Text Detection with Learned Anchor

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tensorflow

An Open Source Machine Learning Framework for Everyone

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Tensorflow-

Tensorflow实战学习笔记、代码、机器学习进阶系列

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Text_Detector

Text detection model that combines Retinanet with textboxes++ for OCR

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TorchDemo

Pytorch libtorch demo

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Traffic-Survalance-with-Computer-Vision-and-Deep-Learning

The system takes video footage of a highway as input and provides statistics like the count of vehicles and an average estimated speed of vehicles on the highway. The statistics provided by the system can have many applications. Like, pricing the billboards on a highway for advertisement, higher the count of vehicles, higher the price. Moreover, the government can use this statistic to know how many vehicles are entering a city each day. The system internally uses YOLO object detection algorithm for vehicle detection, followed by, Centroid Tracking algorithm for tracking the detected vehicles.

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USTC-CS-Courses-Resource

:heart:中国科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)

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zju-icicles

浙江大学课程攻略共享计划

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