Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
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○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (5.9%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: woshiLiyr
- License: agpl-3.0
- Language: Python
- Default Branch: master
- Size: 1.82 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
- Releases: 0
Metadata Files
README.md
DMS-YOLO
Environment
- python 3.11
Requirements
Please pip install the following packages:
- torch>=2.1.1
- torchvision>=0.16.1
- numpy>=1.26.4
- opencv
- timm>=1.0.7
The following is the required packages for AMS-Dyhead:
- mmcv>=2.2.0
- DCNv3（Need to compile）
Datasets
[ RDD-2022 ]
[ SVRDD ]
Inference
step1: Go to the directory where the pyproject.toml file is located
pip install -e .
Step2: Download the required data and update the data file: cfg/datasets
step3: Select the desired model file: cfg/models
step4: Run the following script for training
python train.py
step5: Run the following script to evaluate
python val.py
Results
| 模型 | Precision | Recall | mAP50/% | mAP50-95/% | Param/10^6 | GFLOPs | F1-score/% | 模型大小/MB | | :----------: | :-------: | :------: | :------: | :--------: | :--------: | :-----: | :--------: | :---------: | | Faster R-CNN | 52.0 | 79.8 | 71.5 | 43.3 | 41.45 | 94.4 | 63 | 108.0 | | SSD | 75.4 | 51.2 | 70.9 | 39.1 | 26.77 | 60.7 | 61 | 33.7 | | YOLOv5n | 82.9 | 78.5 | 93.1 | 55.7 | 2.51 | 7.2 | 80 | 5.1 | | YOLOv8n | 83.0 | 80.6 | 84.9 | 58.6 | 3.01 | 8.1 | 81 | 6.0 | | YOLOv8s | 84.6 | 81.6 | 85.7 | 60.2 | 11.1 | 28.7 | 83 | 21.5 | | RT-detr | 85.5 | 79.2 | 84.0 | 57.2 | 29.3 | 105.2 | 82 | 56.4 | | YOLOv9t | 83.4 | 76.5 | 84.6 | 55.6 | 2.62 | 10.7 | 79 | 17.1 | | YOLOv10n | 85.2 | 75.2 | 84.3 | 56.5 | 2.71 | 8.4 | 80 | 5.5 | | YOLOv11n | 85.4 | 77.3 | 84.4 | 58.3 | 2.90 | 7.6 | 81 | 5.8 | | DMS-YOLO | 85.5 | 82.7 | 87.9 | 59.8 | 3.66 | 8.0 | 84 | 7.3 |
(The bubble size indicates the amount of computation)
keywords
road defect detection; YOLOv8；characteristic pyramid network; dynamic detection head; deformable convolution; Loss function
Concat
Yongran Li (lliyr@qq.com)
Owner
- Login: woshiLiyr
- Kind: user
- Repositories: 1
- Profile: https://github.com/woshiLiyr
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'
- family-names: Qiu
given-names: Jing
affiliation: Ultralytics
orcid: 'https://orcid.org/0000-0003-3783-7069'
- given-names: Ayush
family-names: Chaurasia
affiliation: Ultralytics
orcid: 'https://orcid.org/0000-0002-7603-6750'
repository-code: 'https://github.com/ultralytics/ultralytics'
url: 'https://ultralytics.com'
license: AGPL-3.0
version: 8.0.0
date-released: '2023-01-10'
GitHub Events
Total
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Last Year
- Delete event: 5
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- Public event: 1
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- Pull request event: 10
- Create event: 8
Issues and Pull Requests
Last synced: 10 months ago
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- Average time to close issues: N/A
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- Average comments per issue: 0
- Average comments per pull request: 2.67
- Merged pull requests: 0
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- Bot pull requests: 3
Past Year
- Issues: 0
- Pull requests: 3
- Average time to close issues: N/A
- Average time to close pull requests: 28 days
- Issue authors: 0
- Pull request authors: 1
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- Bot pull requests: 3
Top Authors
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- dependabot[bot] (1)
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