28 skills found
bgshih / CrnnConvolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.
MaybeShewill-CV / CRNN TensorflowConvolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition
mjhydri / BeatNetBeatNet is state-of-the-art (Real-Time) and Offline joint music beat, downbeat, tempo, and meter tracking system using CRNN and particle filtering. (ISMIR 2021's paper implementation).
GitYCC / Crnn PytorchConvolutional Recurrent Neural Network (CRNN) for image-based sequence recognition using Pytorch
solivr / Tf CrnnTensorFlow convolutional recurrent neural network (CRNN) for text recognition
FLming / CRNN.tf2Convolutional Recurrent Neural Network(CRNN) for End-to-End Text Recognition - TensorFlow 2
sbillburg / CRNN With STNimplement CRNN in Keras with Spatial Transformer Network
yu20103983 / FOTSFOTS tensorflow implementation, Include train and test, EAST+Rotate+CRNN. FOTS: Fast Oriented Text Spotting with a Unified Network
AimeeKing / Crnn TensorflowThis software implements the Convolutional Recurrent Neural Network (CRNN) in tensorflow
chengzhang / CRNNCRNN(Convolutional Recurrent Neural Network), with optional STN(Spatial Transformer Network), in Tensorflow, multi-gpu supported.
zhang201882 / MTF CRNNInspired 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.
carnotaur / Crnn TutorialTraining Convolutional Recurrent Neural Network (CRNN) using PyTorch
VMD7 / Automate Identification And Recognition Of Handwritten Text From An ImageThis project offers an efficient method for identifying and recognizing handwritten text from images. Using a Convolutional Recurrent Neural Network (CRNN) for Optical Character Recognition (OCR), it effectively extracts text from images, aiding in the digitization of handwritten documents and automated text extraction.
madeyoga / Handwritten Text RecognitionTrain a Text Recognition CRNN model with Tensorflow2 & Keras & IAM Dataset. Convolutional Recurrent Neural Network. CTC.
EVOL-ution / Captcha Recognition Using CRNNThis repository contains code to build an optical character recognition (OCR) model for recognizing text in captcha images using a Convolutional Recurrent Neural Network (CRNN) architecture with Connectionist Temporal Classification (CTC) loss.
mauricio-ms / Motor Imagery Deep LearningImplementation of Convolutional Recurrent Neural Network (CRNN) to decode motor imagery EEG data.
wuzuowuyou / CRNN Chinese Characters Res18 Senet(CRNN) Chinese Characters Recognition. add Backbone network resnet18 senet
YenLinWu / CRNN With CTC LossConvolutional Recurrent Neural Network (CRNN) for reading Captchas(驗證碼)
lix19937 / DnnNetwork interpretation & tensorrt deploy, yolox, detr3d, Bevformer, ViT, CRNN, GAN
ahmedmazariML / Re Implementation Of Convolutional Recurrent Neural Network For Sequence Text RecognitionRe-Implementation of Convolutional Recurrent Neural Network (CRNN) for Sequence Text Recognition in pytorch
