ugnet
Unidirectional Guidance Network for Enhanced Small Object Detection in UAV Imagery
Science Score: 44.0%
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○Scientific vocabulary similarity
Low similarity (7.0%) to scientific vocabulary
Repository
Unidirectional Guidance Network for Enhanced Small Object Detection in UAV Imagery
Basic Info
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Unidirectional Guidance Network for Enhanced Small Object Detection in UAV Imagery
See below for a quickstart installation and usage example.
Table of Contents
Dataset
The dataset in our study is based on VisDrone2019-DET dataset(https://github.com/VisDrone/VisDrone-Dataset), and AI-TOD dataset (https://github.com/jwwangchn/AI-TOD)
Install
Pip install the UGNet package including all requirements in a Python>=3.8 environment with PyTorch>=1.8.
```bash
Clone the UGNet
git clone https://github.com/medeID113/UGNet.git
Navigate to the cloned directory
cd UGNet
Install the package in editable mode for development
pip install -e . ```
Usage
Training:
``` yolo detect train data=VisDrone.yaml model=ultralytics/cfg/models/UGNet.yaml epochs=120 imgsz=640 batch=4
yolo detect train data=ultralytics/cfg/datasets/aitod.yaml model=ultralytics/cfg/models/UGNet.yaml epochs=120 imgsz=640 batch=4 ```
Owner
- Login: medeID113
- Kind: user
- Repositories: 1
- Profile: https://github.com/medeID113
Citation (CITATION.cff)
# This CITATION.cff file was generated with https://bit.ly/cffinit
cff-version: 1.2.0
title: Ultralytics YOLO
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Glenn
family-names: Jocher
affiliation: Ultralytics
orcid: 'https://orcid.org/0000-0001-5950-6979'
- given-names: Ayush
family-names: Chaurasia
affiliation: Ultralytics
orcid: 'https://orcid.org/0000-0002-7603-6750'
- family-names: Qiu
given-names: Jing
affiliation: Ultralytics
orcid: 'https://orcid.org/0000-0003-3783-7069'
repository-code: 'https://github.com/ultralytics/ultralytics'
url: 'https://ultralytics.com'
license: AGPL-3.0
version: 8.0.0
date-released: '2023-01-10'
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Dependencies
- pytorch/pytorch 2.2.2-cuda12.1-cudnn8-runtime build
- 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
- albumentations >=1.4.6
- check-manifest *
- comet *
- coremltools >=7.0
- coverage *
- duckdb <=0.9.2
- dvclive >=2.12.0
- flatbuffers <100,>=23.5.26
- h5py *
- hub-sdk >=0.0.5
- ipython *
- lancedb *
- matplotlib >=3.3.0
- mkdocs >=1.6.0
- mkdocs-jupyter *
- mkdocs-material >=9.5.9
- mkdocs-redirects *
- mkdocs-ultralytics-plugin >=0.0.44
- mkdocstrings *
- numpy ==1.23.5
- onnx >=1.12.0
- opencv-python >=4.6.0
- openvino >=2024.0.0
- pandas >=1.1.4
- pillow >=7.1.2
- pre-commit *
- psutil *
- py-cpuinfo *
- pycocotools >=2.0.7
- pytest *
- pytest-cov *
- pyyaml >=5.3.1
- requests >=2.23.0
- scipy >=1.4.1
- seaborn >=0.11.0
- streamlit *
- tensorboard >=2.13.0
- tensorflow <=2.13.1
- tensorflowjs >=3.9.0
- thop >=0.1.1
- torch >=1.8.0
- torchvision >=0.9.0
- tqdm >=4.64.0