videodnn

videodnn

Geek Repo

for deep learning in video/media

Location:Chaoyang District, Peking, P.R.China

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videodnn's repositories

X-Temporal

A general video understanding codebase from SenseTime X-Lab

License:MITStargazers:0Issues:0Issues:0

bLVNet-TAM

The official Codes for NeurIPS 2019 paper. Quanfu Fan, Ricarhd Chen, Hilde Kuehne, Marco Pistoia, David Cox, "More Is Less: Learning Efficient Video Representations by Temporal Aggregation Modules"

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google-research

Google AI Research

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ffmpeg-python

Python bindings for FFmpeg - with complex filtering support

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arctic-capgen-vid

automatic video description generation with GPU training

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MMGCN

MMGCN: Multi-modal Graph Convolution Network forPersonalized Recommendation of Micro-video

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Realtime-Action-Recognition

Multi-person real-time recognition (classification) of 9 actions based on human skeleton from OpenPose and a 0.5-second window.

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STVEN_rPPGNet

Main code of "Remote Heart Rate Measurement from Highly Compressed Facial Videos: an End-to-end Deep Learning Solution with Video Enhancement"

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cpnet

Learning Video Representations from Correspondence Proposals (CVPR 2019 Oral)

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SlowFast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

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moments_models

The pretrained models trained on Moments in Time Dataset

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deephar

Deep human action recognition and pose estimation

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awesome-action-recognition

A curated list of action recognition and related area resources

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3D-ResNets-PyTorch

3D ResNets for Action Recognition (CVPR 2018)

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two-stream-action-recognition

Using two stream architecture to implement a classic action recognition method on UCF101 dataset

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HACS-dataset

HACS: Human Action Clips and Segments Dataset

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gpu_flow

GPU based optical flow extraction in OpenCV

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kinetics-i3d

Convolutional neural network model for video classification trained on the Kinetics dataset.

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VideoPose3D

Efficient 3D human pose estimation in video using 2D keypoint trajectories

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two-stream-action-recognition-keras

Two-stream CNNs for video action recognition implemented in Keras

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VideoClassification

Video Action Recognition using Youtube Action Classification Dataset ( http://www.cs.ucf.edu/~liujg/YouTube_Action_dataset.html​ )

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C3D-tensorflow

C3D is a modified version of BVLC tensorflow to support 3D ConvNets.

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temporal-segment-networks

Code & Models for Temporal Segment Networks (TSN) in ECCV 2016

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local-and-global-diffusion-networks

Learning Spatio-Temporal Representation with Local and Global Diffusion

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five-video-classification-methods

Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow

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video-long-term-feature-banks

Long-Term Feature Banks for Detailed Video Understanding

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Online-Realtime-Action-Recognition-based-on-OpenPose

A skeleton-based real-time online action recognition project, classifying and recognizing base on framewise joints, which can be used for safety surveilence.

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ActionRecognition

Explore Action Recognition

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