Data

Tools

Indexes

Applications

Experiments

Open Source Science

edge-cloud-video-recognition

https://github.com/22222222z/edge-cloud-video-recognition

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (6.4%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: 22222222z
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 63.7 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed 9 months ago
Metadata Files
Readme License Code of conduct Citation

README.md

Heterogeneous Network Based Edge-Cloud Cooperative Intelligence for Video Recognition

Introduction

This is the code repository for our paper "Heterogeneous Network Based Edge-Cloud Cooperative Intelligence for Video Recognition". The code in this repository is based on the MMAction2 framework. Please refer to the official documentation for more information.

Quick Start

bash git clone https://github.com/22222222z/Edge-Cloud-Video-Recognition.git cd Edge-Cloud-Video-Recognition bash scripts/quick_start.sh

Training

bash bash scripts/run_train.sh

Testing

bash bash scripts/run_test.sh

Pretrained Weights

Google Drive link

Configuration Files

All configuration files are located in the configs/ directory. These files define various settings and parameters for training, testing, and model setup. Here are some key configuration files:

  • configs/recognition/tsm/edge_model_k400.py: The config file for training the edge model on Kinetics-400 dataset.
  • configs/recognition/tsm/edge_model_k400_distill.py: The config file for distillation training on Kinetics-400 dataset.
  • configs/recognition/uniformerv2-cloud_model/uniformerv2_ECNet_K400.py: The configuration file used for the cooperative training within our paper.

Owner

  • Login: 22222222z
  • Kind: user
  • Location: ChangChun, JiLin
  • Company: JiLin University

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - name: "MMAction2 Contributors"
title: "OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark"
date-released: 2020-07-21
url: "https://github.com/open-mmlab/mmaction2"
license: Apache-2.0

GitHub Events

Total
  • Push event: 7
Last Year
  • Push event: 7