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mccanet

The official implementation of the thesis "A Multi-Scale Channel Enhancement Object Detection Algorithm for UAV Images Based on Convolutional-Auxiliary"

https://github.com/chenhao-123-sudo/mccanet

Science Score: 44.0%

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    CITATION.cff file
    Found CITATION.cff file
  • ✓
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    .zenodo.json file
    Found .zenodo.json file
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    Scientific vocabulary similarity
    Low similarity (8.1%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

The official implementation of the thesis "A Multi-Scale Channel Enhancement Object Detection Algorithm for UAV Images Based on Convolutional-Auxiliary"

Basic Info
  • Host: GitHub
  • Owner: chenhao-123-sudo
  • License: other
  • Language: Python
  • Default Branch: master
  • Size: 46.3 MB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme Contributing License Citation Security

README.md


MCCANet is a deep network model specifically designed to process drone images. Compared with YOLOv8, MCCANet achieves higher recognition accuracy with fewer parameters and less computation.

Documentation

See below for a quickstart installation and usage example.

Install Pip install the ultralytics package including all [requirements](https://github.com/ultralytics/ultralytics/blob/main/requirements.txt) in a [**Python>=3.8**](https://www.python.org/) environment with [**PyTorch>=1.8**](https://pytorch.org/get-started/locally/). ```bash pip install ultralytics pip install timm pip install einops ```
Usage #### CLI MFRENet may be used directly in the Command Line Interface (CLI) with a command: ```bash train: python main.py resume: python resume.py val: python val.py ```

Owner

  • Login: chenhao-123-sudo
  • Kind: user

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: "YOLO by Ultralytics"
  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"

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Dependencies

docker/Dockerfile docker
  • pytorch/pytorch 2.0.0-cuda11.7-cudnn8-runtime build
utils/google_app_engine/Dockerfile docker
  • gcr.io/google-appengine/python latest build
requirements.txt pypi
  • Pillow *
  • Pillow >=7.1.2
  • PyYAML >=5.3.1
  • loguru *
  • matplotlib >=3.2.2
  • ninja *
  • numpy *
  • onnx ==1.8.1
  • onnx-simplifier ==0.3.5
  • onnxruntime ==1.8.0
  • opencv-python >=4.6.0
  • pandas >=1.1.4
  • psutil *
  • pycocotools >=2.0.2
  • requests >=2.23.0
  • scikit-image *
  • scipy >=1.4.1
  • seaborn >=0.11.0
  • tabulate *
  • tensorboard *
  • thop *
  • torch >=1.7.0
  • torchvision >=0.8.1
  • tqdm >=4.64.0
setup.py pypi
utils/google_app_engine/additional_requirements.txt pypi
  • Flask ==1.0.2
  • gunicorn ==19.9.0
  • pip ==18.1