Beast code in Giters

laygin's repositories

pytorch_ctpn

This is a pytorch implementation of CTPN(Detecting Text in Natural Image with Connectionist Text Proposal Network). You may want to finetune from: https://drive.google.com/open?id=1JHhI4sEIXfs5gDa1I9AgJBY477HTzAd0

Language:Python288 5 42

Transformer_STR

PyTorch implementation of my new method for Scene Text Recognition (STR) based on Transformer,Equipped with Transformer, this method outperforms the best model of the aforementioned deep-text-recognition-benchmark by 7.6% on CUTE80.

Language:Python221 9 27

keras-shufflenetV2

Keras implementation of ShuffleNet V2

Language:Python96 6 8

face_detection_in_realtime

This repository is the implementation of face detection in real time using YOLOv3 framework with keras(tensorflow backend). For use in embeded devices, so I choose a computation-efficient CNN architecture named ShuffleNet version 2 and train it from scratch(about 50 epoches) on FDDB.

Language:Jupyter Notebook47 5 7

pixellink_keras

pixellink in keras

Language:Python36 4 5

keras_std_plus_plus

This repository is the official implementation of `A Semantic-based Arbitrarily-Oriented Scene Text Detector`(named STD++ as it is the improved version of STD).

Language:Python30 2 8

keras_std

This repository is the official implementation of Semantic-based Scene Text Detector(STD for short), a new scene text detection method, inspired by the idea of CSP, which is used on Pedestrian Detection.

Language:Python2 3 2

card_generator

for paper cite

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card_segmentation

Identity Document detection and classification can be obtained via object detection-based, instance segmentation-based and semantic segmentation-based methods, we select one typical and efficient model respectively, namely SSD, YOLOv8 and PIDNet, in addition, we improve semantic segmentation-based methods by decoupling detection and classification,

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learning-resources

分享学习资源，包括在线课程、国内外名校公开课、高质量的书籍、论文、数据集等。内容有：深度学习，机器学习，计算机视觉，Python，C/C++、算法、安卓开发和数据分析与挖掘等

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