conv3d-video-action-recognitionMy experimentation around action recognition in videos. Contains Keras implementation for C3D network based on original paper "Learning Spatiotemporal Features with 3D Convolutional Networks", Tran et al. and it includes video processing pipelines coded using mPyPl package. Model is being benchmarked on popular UCF101 dataset and achieves result…
Stars: ✭ 50 (-98.44%)
MiCT-Net-PyTorchVideo Recognition using Mixed Convolutional Tube (MiCT) on PyTorch with a ResNet backbone
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ailia-modelsThe collection of pre-trained, state-of-the-art AI models for ailia SDK
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StepSTEP: Spatio-Temporal Progressive Learning for Video Action Detection. CVPR'19 (Oral)
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MmactionAn open-source toolbox for action understanding based on PyTorch
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ActionvladActionVLAD for video action classification (CVPR 2017)
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MTL-AQAWhat and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]
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C3d KerasC3D for Keras + TensorFlow
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glimpse cloudsPytorch implementation of the paper "Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points", F. Baradel, C. Wolf, J. Mille , G.W. Taylor, CVPR 2018
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DEAR[ICCV 2021 Oral] Deep Evidential Action Recognition
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Video CaffeVideo-friendly caffe -- comes with the most recent version of Caffe (as of Jan 2019), a video reader, 3D(ND) pooling layer, and an example training script for C3D network and UCF-101 data
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Gluon CvGluon CV Toolkit
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Mmaction2OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
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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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Tdn[CVPR 2021] TDN: Temporal Difference Networks for Efficient Action Recognition
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Movienet ToolsTools for movie and video research
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I3d finetuneTensorFlow code for finetuning I3D model on UCF101.
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DIN-Group-Activity-Recognition-BenchmarkA new codebase for Group Activity Recognition. It contains codes for ICCV 2021 paper: Spatio-Temporal Dynamic Inference Network for Group Activity Recognition and some other methods.
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TimeceptionTimeception for Complex Action Recognition, CVPR 2019 (Oral Presentation)
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PaddlevideoComprehensive, latest, and deployable video deep learning algorithm, including video recognition, action localization, and temporal action detection tasks. It's a high-performance, light-weight codebase provides practical models for video understanding research and application
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Fight detectionReal time Fight Detection Based on 2D Pose Estimation and RNN Action Recognition
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ViCC[WACV'22] Code repository for the paper "Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting", https://arxiv.org/abs/2106.10137.
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LintelA Python module to decode video frames directly, using the FFmpeg C API.
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Openpose-based-GUI-for-Realtime-Pose-Estimate-and-Action-RecognitionGUI based on the python api of openpose in windows using cuda10 and cudnn7. Support body , hand, face keypoints estimation and data saving. Realtime gesture recognition is realized through two-layer neural network based on the skeleton collected from the gui.
Stars: ✭ 69 (-97.85%)
M PactA one stop shop for all of your activity recognition needs.
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Tsn PytorchTemporal Segment Networks (TSN) in PyTorch
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HakeHAKE: Human Activity Knowledge Engine (CVPR'18/19/20, NeurIPS'20)
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AmassData preparation and loader for AMASS
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Squeeze-and-Recursion-Temporal-GatesCode for : [Pattern Recognit. Lett. 2021] "Learn to cycle: Time-consistent feature discovery for action recognition" and [IJCNN 2021] "Multi-Temporal Convolutions for Human Action Recognition in Videos".
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Robust-Deep-Learning-PipelineDeep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)
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YAPO-e-plusYAPO e+ - Yet Another Porn Organizer (extended)
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EgoPoseOfficial PyTorch Implementation of "Ego-Pose Estimation and Forecasting as Real-Time PD Control". ICCV 2019.
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detectron2-pipelineModular image processing pipeline using OpenCV and Python generators powered by Detectron2.
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rmpe dataset serverRealtime Multi-Person Pose Estimation data server. Used as a training and validation data provider in training process.
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RmpeRMPE: Regional Multi-person Pose Estimation, forked from Caffe. Research purpose only.
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video-audio-toolsTo process/edit video and audio with Python+FFmpeg. [简单实用] 基于Python+FFmpeg的视频和音频的处理/剪辑。
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lecture-demosDemonstrations for the interactive exploration of selected core concepts of audio, image and video processing as well as related topics
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ion-avpAudio/Video Processing Service
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ONNX-Mobile-Human-Pose-3DPython scripts for performing 3D human pose estimation using the Mobile Human Pose model in ONNX.
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auditory-slow-fastImplementation of "Slow-Fast Auditory Streams for Audio Recognition, ICASSP, 2021" in PyTorch
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video2gifProgrammatically generate animated GIF from video in Python(convert video to gif)
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StarMapStarMap for Category-Agnostic Keypoint and Viewpoint Estimation
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deep learningDeep-learning approaches to object recognition from 3D data
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meltsubConvert hardsub to softsub
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