incremental_fora

增量学习的多模态FoRA代码,基于YOLOv8

https://github.com/clearlangw/incremental_fora

Science Score: 54.0%

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
    Links to: arxiv.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (2.1%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

增量学习的多模态FoRA代码,基于YOLOv8

Basic Info
  • Host: GitHub
  • Owner: Clearlangw
  • License: agpl-3.0
  • Language: Python
  • Default Branch: main
  • Size: 31.4 MB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created 11 months ago · Last pushed 11 months ago
Metadata Files
Readme Contributing License Citation

README.md

FoRA

The pytorch implementation of FoRA

The code is based on YOLOv8 of Ultralytics

The related files (labels, dataset structure and txt in yaml) of DroneVehicle can be download here.

Incremental_FoRA

Citation (CITATION.cff)

cff-version: 1.2.0
preferred-citation:
  type: software
  message: If you use this software, please cite it as below.
  authors:
  - family-names: Jocher
    given-names: Glenn
    orcid: "https://orcid.org/0000-0001-5950-6979"
  - family-names: Chaurasia
    given-names: Ayush
    orcid: "https://orcid.org/0000-0002-7603-6750"
  - family-names: Qiu
    given-names: Jing
    orcid: "https://orcid.org/0000-0003-3783-7069"
  title: "Ultralytics YOLO"
  version: 8.0.0
  # doi: 10.5281/zenodo.3908559  # TODO
  date-released: 2023-1-10
  license: AGPL-3.0
  url: "https://github.com/ultralytics/ultralytics"

GitHub Events

Total
  • Push event: 2
  • Public event: 1
Last Year
  • Push event: 2
  • Public event: 1

Dependencies

examples/YOLOv8-ONNXRuntime-Rust/Cargo.toml cargo
docker/Dockerfile docker
  • pytorch/pytorch 2.2.0-cuda12.1-cudnn8-runtime build
pyproject.toml pypi
  • matplotlib >=3.3.0
  • opencv-python >=4.6.0
  • pandas >=1.1.4
  • pillow >=7.1.2
  • psutil *
  • py-cpuinfo *
  • pyyaml >=5.3.1
  • requests >=2.23.0
  • scipy >=1.4.1
  • seaborn >=0.11.0
  • thop >=0.1.1
  • torch >=1.8.0
  • torchvision >=0.9.0
  • tqdm >=4.64.0