https://github.com/ccomkhj/dataset_converter_yolo
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Scientific vocabulary similarity
Low similarity (4.2%) to scientific vocabulary
Last synced: 10 months ago
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JSON representation
Repository
Basic Info
- Host: GitHub
- Owner: ccomkhj
- Language: Python
- Default Branch: main
- Size: 5.22 MB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 4 years ago
· Last pushed over 4 years ago
Metadata Files
Readme
readme.MD
Convert qr-code detection dataset to yolo
python to_yolo.py --input {label_dir} --image {image_dir} --ann {annotation_dir}
Input
- [absolute horizontal position] - in pixels
- [absolute vertical position] - in pixels
- [radius of the circumcircle] - in pixels
- [FLAG - rotated] - 0,1
- [FLAG - blurred] - 0,1
- [FLAG - perspective transform] - 0,1
- [FLAG - extreme lighting] - 0,1
- [annotated qrcode bitmap name] - string (without the extension .png - has to be added when parsing)
Output
Yolo format (class xcenter ycenter width height)
Check if it works
python to_yolo.py --label {label_dir} --image {image_dir} --save {save_dir}
Owner
- Name: Huijo
- Login: ccomkhj
- Kind: user
- Location: Germany
- Company: @hexafarms
- Website: https://ccomkhj.github.io/
- Repositories: 3
- Profile: https://github.com/ccomkhj
Self Learner
GitHub Events
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Last Year
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Last synced: about 1 year ago
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- Total pull requests: 0
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- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
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- Average comments per issue: 0
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- Bot issues: 0
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