60 Open Source Crnn Software Projects
Free and open source crnn code projects including engines, APIs, generators, and tools.
Jaidedai Easyocr 13651 ⭐
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Paddleocr 18726 ⭐
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
Deep Text Recognition Benchmark 2704 ⭐
Text recognition (optical character recognition) with deep learning methods.
Keras Textclassification 1221 ⭐
中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN
Cortex License Plate Reader Client 296 ⭐
A client to connect to cortex-provisioned infrastructure on AWS to do license plate identification in real time.
Crnn Audio Classification 282 ⭐
UrbanSound classification using Convolutional Recurrent Networks in PyTorch
Crnn Mxnet Chinese Text Recognition 175 ⭐
An implementation of CRNN (CNN+LSTM+warpCTC) on MxNet for chinese text recognition
Sightseq 119 ⭐
Computer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection
Crnn Ocr Lite 125 ⭐
Lightweight CRNN for OCR (including handwritten text) with depthwise separable convolutions and spatial transformer module [keras+tf]
Crnn.tf2 113 ⭐
Convolutional Recurrent Neural Network(CRNN) for End-to-End Text Recognition - TensorFlow 2
Crnn 34 ⭐
CRNN(Convolutional Recurrent Neural Network), with optional STN(Spatial Transformer Network), in Tensorflow, multi-gpu supported.
Bankcard Recognizer 63 ⭐
Extracting numbers from bankcard, based on Deep Learning. 基于深度学习的银行卡号识别与定位系统。
Vietnamese_handwriting_recognition 28 ⭐
[DEPRECATED] Vietnamese Handwriting Recognition with CRNN and CTC Loss
Mtf Crnn 18 ⭐
Inspired by the convolutional recurrent neural network(CRNN) and inception, we propose a multiscale time-frequency convolutional recurrent neural network (MTF-CRNN) for audio event detection. Our goal is to improve audio event detection performance and recognize target audio events that have different lengths and accompany the complex audio background. We exploit multi-groups of parallel and serial convolutional kernels to learn high-level shift invariant features from the time and frequency domains of acoustic samples. A two-layer bi-direction gated recurrent unit) based on the recurrent neural network is used to capture the temporal context from the extracted high-level features. The proposed method is evaluated on the DCASE2017 challenge dataset. Compared to other methods, the MTF-CRNN achieves one of the best test performances for a single model without pre-training and without using a multi-model ensemble approach.
Crnn_ctc_english_handwriting_recognition 19 ⭐
English Handwriting Recognition with CRNN and CTC Loss
Tensorrtx 3634 ⭐
Implementation of popular deep learning networks with TensorRT network definition API
Paddleocr2pytorch 334 ⭐
PaddleOCR inference in PyTorch. Converted from [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR)
Crnn Ctc Loss Pytorch 30 ⭐
Multi-Digit Sequence Recognition With CRNN and CTC Loss Using PyTorch Framework
Iam Crnn Ctc Recognition 15 ⭐
IAM Dataset Handwriting Recognition Using CRNN, CTC Loss, DeepSpeech Beam Search, And KenLM Scorer
Deep Representations Of Visual Descriptions 11 ⭐
Pytorch implementation of CVPR'16 paper "Learning Deep Representations of Fine-Grained Visual Descriptions", by Reed et al.
Text Recognition On Cross Domain Datasets 21 ⭐
Improved Text recognition algorithms on different text domains like scene text, handwritten, document, Chinese/English, even ancient books
Sun1638650145 Crnn 10 ⭐
An AutoML about CRNN, you can use three or four lines of code to recognize the captcha.