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Video ClassificationTutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
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Gluon CvGluon CV Toolkit
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Okutama ActionOkutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection
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Hake ActionAs a part of the HAKE project, includes the reproduced SOTA models and the corresponding HAKE-enhanced versions (CVPR2020).
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Mmaction2OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
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NhyaiAI智能审查,支持色情识别、暴恐识别、语言识别、敏感文字检测和视频检测等功能,以及各种OCR识别能力,如身份证、驾照、行驶证、营业执照、银行卡、手写体、车牌和名片识别等功能,可以访问网站体验功能。
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TrFree Offline OCR 离线的中文文本检测+识别SDK
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Crnn With Stnimplement CRNN in Keras with Spatial Transformer Network
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Resgcnv1ResGCN: an efficient baseline for skeleton-based human action recognition.
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CrnnCRNN(Convolutional Recurrent Neural Network), with optional STN(Spatial Transformer Network), in Tensorflow, multi-gpu supported.
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CrnnA TensorFlow implementation of https://github.com/bgshih/crnn
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TddTrajectory-pooled Deep-Convolutional Descriptors
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Tf CrnnTensorFlow convolutional recurrent neural network (CRNN) for text recognition
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Keras Textclassification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
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Cortex License Plate Reader ClientA client to connect to cortex-provisioned infrastructure on AWS to do license plate identification in real time.
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Tdn[CVPR 2021] TDN: Temporal Difference Networks for Efficient Action Recognition
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DEAR[ICCV 2021 Oral] Deep Evidential Action Recognition
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Text rendererGenerate text images for training deep learning ocr model
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ssd detectorsSSD-based object and text detection with Keras, SSD, DSOD, TextBoxes, SegLink, TextBoxes++, CRNN
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Tsn PytorchTemporal Segment Networks (TSN) in PyTorch
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Movienet ToolsTools for movie and video research
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M PactA one stop shop for all of your activity recognition needs.
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