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alpr_utils

ALPR model in unconstrained scenarios for Chinese license plates

android_learning

capsnet-fashion-mnist

Capsule Network on Fashion MNIST dataset

capsule-networks

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

capsule-zoo

The source code for all of Aotu's open source Vision Capsules is contained here.

chinese-text-classification-pytorch

中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。

cnn_auto_correct

CNN基础识别-想为女儿批作业

cvpr2022-paper-code-interpretation

cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

dashboardcalibrationrecognition

仪表盘刻度识别

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_down:

flask-tutorial

Python Flask Web 框架入门教程

image-retrieval-with-capsules

Fashion Image Retrieval with Capsule Networks

jieba-analysis

结巴分词(java版)

nanodet

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

ncnn-android-yolov5

The YOLOv5 object detection android example

open_vision_capsules

A set of libraries for encapsulating smart vision algorithms

openalpr

Automatic License Plate Recognition library

paddle-lite-demo

lib, demo, model, data

pointer-meter-identification-and-reading

基于opencv的指针式仪表的识别与读数

scanner

二维码/条码识别、身份证识别、银行卡识别、车牌识别、图片文字识别、黄图识别、驾驶证（驾照）识别

software-engineering

staruml-3.0.2-full-version

Get starUml full version

tess-two

Fork of Tesseract Tools for Android

tessdata

Trained models with support for legacy and LSTM OCR engine

tesseract

Tesseract Open Source OCR Engine (main repository)

tesseract4android

Fork of tess-two rewritten from scratch to support latest version of Tesseract OCR.

tesstwodemo

基于tess_two做的Android文字识别demo。

text-to-handwriting

So your teacher asked you to upload written assignments? Hate writing assigments? This tool will help you convert your text to handwriting xD

timesformer

The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"

timesformer-video-classification

The notebook explains the various steps to obtain the results of publication: "Is Space-Time Attention All You Need for Video Understanding?"