rdd-rgnet
A Method of Road Damage Detection Based on Region Guidance Network
Science Score: 44.0%
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○Scientific vocabulary similarity
Low similarity (4.6%) to scientific vocabulary
Repository
A Method of Road Damage Detection Based on Region Guidance Network
Basic Info
- Host: GitHub
- Owner: rodgers-li
- License: agpl-3.0
- Language: Python
- Default Branch: main
- Size: 9.45 MB
Statistics
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
A Method of Road Damage Detection for Complex Background Images Based on Region Guidance Network
The overall structure of RDD-RGNet. It consists of five parts: backbone, neck, head, First-RG and Second-RG. First-RG fuses the extracted region information after spatial attention with the feature extracted from Layer1 in backbone. Second-RG uses the RFF modules to efficiently fuse the three region-enhanced feature maps in backbone with the three outputs of neck.
Get start
Training
Python
python run_train.py
testing
Python
python run_val.py
prediction
Python
python run_detect.py
Acknowledgment
This implementation is bulit upon YOLOv8.
Owner
- Login: rodgers-li
- Kind: user
- Repositories: 1
- Profile: https://github.com/rodgers-li
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"
GitHub Events
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Last Year
- Watch event: 2
- Push event: 27
- Create event: 2