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
Stars: ✭ 218 (+11.22%)
Mmaction2OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
Stars: ✭ 684 (+248.98%)
M PactA one stop shop for all of your activity recognition needs.
Stars: ✭ 85 (-56.63%)
C3d KerasC3D for Keras + TensorFlow
Stars: ✭ 171 (-12.76%)
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.
Stars: ✭ 26 (-86.73%)
ActionvladActionVLAD for video action classification (CVPR 2017)
Stars: ✭ 217 (+10.71%)
Robust-Deep-Learning-PipelineDeep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)
Stars: ✭ 20 (-89.8%)
Hake ActionAs a part of the HAKE project, includes the reproduced SOTA models and the corresponding HAKE-enhanced versions (CVPR2020).
Stars: ✭ 72 (-63.27%)
Tsn PytorchTemporal Segment Networks (TSN) in PyTorch
Stars: ✭ 895 (+356.63%)
MTL-AQAWhat and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]
Stars: ✭ 38 (-80.61%)
AlphactionSpatio-Temporal Action Localization System
Stars: ✭ 221 (+12.76%)
I3d finetuneTensorFlow code for finetuning I3D model on UCF101.
Stars: ✭ 128 (-34.69%)
HakeHAKE: Human Activity Knowledge Engine (CVPR'18/19/20, NeurIPS'20)
Stars: ✭ 132 (-32.65%)
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
Stars: ✭ 172 (-12.24%)
MmactionAn open-source toolbox for action understanding based on PyTorch
Stars: ✭ 1,711 (+772.96%)
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
Stars: ✭ 30 (-84.69%)
DEAR[ICCV 2021 Oral] Deep Evidential Action Recognition
Stars: ✭ 36 (-81.63%)
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".
Stars: ✭ 62 (-68.37%)
Tdn[CVPR 2021] TDN: Temporal Difference Networks for Efficient Action Recognition
Stars: ✭ 72 (-63.27%)
Movienet ToolsTools for movie and video research
Stars: ✭ 113 (-42.35%)
TimeceptionTimeception for Complex Action Recognition, CVPR 2019 (Oral Presentation)
Stars: ✭ 153 (-21.94%)
UntrimmednetWeakly Supervised Action Recognition and Detection
Stars: ✭ 152 (-22.45%)
Amp ModuleAMP Module for Nuxt
Stars: ✭ 171 (-12.76%)
Charades AlgorithmsActivity Recognition Algorithms for the Charades Dataset
Stars: ✭ 181 (-7.65%)
Hoi Learning ListA list of the Human-Object Interaction Learning studies.
Stars: ✭ 145 (-26.02%)
CustommetadataloaderTool to help users bulk create and update custom metadata records in salesforce.com from a CSV file.
Stars: ✭ 142 (-27.55%)
Youtube 8mThe 2nd place Solution to the Youtube-8M Video Understanding Challenge by Team Monkeytyping (based on tensorflow)
Stars: ✭ 171 (-12.76%)
Automation ComponentsAutomation Components are a collection of reusable and production-ready extensions that include invocable actions, flow screen components and local actions.
Stars: ✭ 141 (-28.06%)
MmskeletonA OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.
Stars: ✭ 2,378 (+1113.27%)
AmassData preparation and loader for AMASS
Stars: ✭ 180 (-8.16%)
Lad👦 Lad is the best Node.js framework. Made by a former Express TC and Koa team member.
Stars: ✭ 2,112 (+977.55%)
Fast ReidSOTA Re-identification Methods and Toolbox
Stars: ✭ 2,287 (+1066.84%)
Accelerated Mobile PagesAutomatically add Accelerated Mobile Pages (AMP Project) functionality on your WordPress.
Stars: ✭ 167 (-14.8%)
Video2tfrecordEasily convert RGB video data (e.g. .avi) to the TensorFlow tfrecords file format for training e.g. a NN in TensorFlow. This implementation allows to limit the number of frames per video to be stored in the tfrecords.
Stars: ✭ 137 (-30.1%)
Dreamhouse LwcSample application for Lightning Web Components on Salesforce Platform. Part of the sample gallery. Real estate use case. Get inspired and learn best practices.
Stars: ✭ 136 (-30.61%)
Hidden Two StreamCaffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"
Stars: ✭ 179 (-8.67%)
Amp WpEnable AMP on your WordPress site, the WordPress way.
Stars: ✭ 1,706 (+770.41%)
Force DiGeneric DI library with support for Apex, Triggers, Visualforce and Lightning
Stars: ✭ 165 (-15.82%)
MultiverseDataset, code and model for the CVPR'20 paper "The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction". And for the ECCV'20 SimAug paper.
Stars: ✭ 131 (-33.16%)
HaoideStop upgrade, most of features were delivered in https://github.com/xjsender/haoide-vscode
Stars: ✭ 194 (-1.02%)
VipVideo Platform for Action Recognition and Object Detection in Pytorch
Stars: ✭ 175 (-10.71%)
Dreamhouse SfdxSalesforce Sample App part of the sample gallery. Real estate use case. Get inspired and learn best practices.
Stars: ✭ 164 (-16.33%)
Pytorch Imagenet Cifar Coco Voc TrainingTraining examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.
Stars: ✭ 130 (-33.67%)
Object level visual reasoningPytorch Implementation of "Object level Visual Reasoning in Videos", F. Baradel, N. Neverova, C. Wolf, J. Mille, G. Mori , ECCV 2018
Stars: ✭ 163 (-16.84%)
Action RecognitionExploration of different solutions to action recognition in video, using neural networks implemented in PyTorch.
Stars: ✭ 129 (-34.18%)
EdaEducation Data Architecture
Stars: ✭ 175 (-10.71%)