deforming-yolonet-crack
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
Found .zenodo.json file -
○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 (4.7%) to scientific vocabulary
Last synced: 9 months ago
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JSON representation
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Repository
Basic Info
- Host: GitHub
- Owner: lxhuse
- License: agpl-3.0
- Language: Python
- Default Branch: main
- Size: 2 MB
Statistics
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 5
- Releases: 0
Created 11 months ago
· Last pushed 10 months ago
Metadata Files
Readme
Contributing
License
Citation
README.md
This is a deforming YOLONet used for crack detection. This network integrates dynamic snake convolution based on YOLOv8, enhancing its ability to perceive crack features (long and narrow, strip-like), thereby significantly improving segmentation accuracy. Please refer to the official documentation for installation and usage instructions. The link is: https://github.com/ultralytics/ultralytics.
Data augmentation code:https://github.com/junyanz/CycleGAN.git
Owner
- Login: lxhuse
- Kind: user
- Repositories: 1
- Profile: https://github.com/lxhuse
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
- Watch event: 1
- Issue comment event: 4
- Push event: 5
- Pull request event: 2
- Create event: 6
Last Year
- Watch event: 1
- Issue comment event: 4
- Push event: 5
- Pull request event: 2
- Create event: 6
Dependencies
.github/workflows/ci.yml
actions
- actions/checkout v4 composite
- actions/setup-python v5 composite
- astral-sh/setup-uv v6 composite
- codecov/codecov-action v5 composite
- conda-incubator/setup-miniconda v3 composite
- eviden-actions/clean-self-hosted-runner v1 composite
- slackapi/slack-github-action v2.1.1 composite
- ultralytics/actions/cleanup-disk main composite
.github/workflows/cla.yml
actions
- contributor-assistant/github-action v2.6.1 composite
.github/workflows/docker.yml
actions
- actions/checkout v4 composite
- docker/login-action v3 composite
- docker/setup-buildx-action v3 composite
- slackapi/slack-github-action v2.1.1 composite
- ultralytics/actions/cleanup-disk main composite
- ultralytics/actions/retry main composite
.github/workflows/docs.yml
actions
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- actions/setup-python v5 composite
- astral-sh/setup-uv v6 composite
.github/workflows/format.yml
actions
- ultralytics/actions main composite
.github/workflows/links.yml
actions
- actions/checkout v4 composite
- ultralytics/actions/retry main composite
.github/workflows/merge-main-into-prs.yml
actions
- actions/checkout v4 composite
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.github/workflows/mirror.yml
actions
- actions/checkout v4 composite
.github/workflows/publish.yml
actions
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.github/workflows/stale.yml
actions
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examples/YOLO-Series-ONNXRuntime-Rust/Cargo.toml
cargo
examples/YOLOv8-ONNXRuntime-Rust/Cargo.toml
cargo
docker/Dockerfile
docker
- pytorch/pytorch 2.7.0-cuda12.6-cudnn9-runtime build
pyproject.toml
pypi
- matplotlib >=3.3.0
- numpy >=1.23.0
- 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
- torch >=1.8.0
- torch >=1.8.0,!=2.4.0; sys_platform == 'win32'
- torchvision >=0.9.0
- tqdm >=4.64.0
- ultralytics-thop >=2.0.0