yuan-2703 Goto Github PK

2s-agcn

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19

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"

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

gcn-nas

Source code for "Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching", AAAI2020

gsm

Gate-Shift Networks for Video Action Recognition

gst-video

ICCV 19 Grouped Spatial-Temporal Aggretation for Efficient Action Recognition

homework

Assignments for CS294-112.

humanactionrecognition2dposes

In this repository is available source code for automatic recognition of human actions in videos using features extracted from 2D poses. The experiments were run in the KTH and Weizmman databases.

lcfgeoproject

code and project of Geography

real-time-action-recognition

Real-time pose estimation and action recognition

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

representation-flow-cvpr19

Code and models for our CVPR'19 paper "Representation Flow for Action Recognition"

robomaster-sdk

DJI RoboMaster Python SDK and Sample Code for RoboMaster EP.

rulstm

Code for the Paper: Antonino Furnari and Giovanni Maria Farinella. What Would You Expect? Anticipating Egocentric Actions with Rolling-Unrolling LSTMs and Modality Attention. International Conference on Computer Vision, 2019.

sdn

[NeurIPS 2019] Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition

slimyolov3

This page is for the SlimYOLOv3: Narrower, Faster and Better for UAV Real-Time Applications

slowfast

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

temporal-shift-module

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding.

tensorflow-yolov3

🔥 pure tensorflow Implement of YOLOv3 with support to train your own dataset

timeseries_gan

A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.

two-stream-action-recognition

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

vip

Video Platform for Action Recognition and Object Detection in Pytorch

x-temporal

A general video understanding codebase from SenseTime X-Lab

yolov3_tensorflow

Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.

yowo