Science Score: 13.0%
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
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○.zenodo.json file
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✓DOI references
Found 1 DOI reference(s) in README -
○Academic publication links
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○Scientific vocabulary similarity
Low similarity (4.0%) to scientific vocabulary
Repository
acne_detection
Basic Info
- Host: GitHub
- Owner: wenh06
- License: mit
- Language: Python
- Default Branch: master
- Size: 129 MB
Statistics
- Stars: 4
- Watchers: 2
- Forks: 0
- Open Issues: 1
- Releases: 0
Metadata Files
README.md
acne_detection
acne_detection
ran in python 3.6.8
Requirements
- tensorflow == 1.13.1
Training
```shell export PYTHONPATH=$PYTHONPATH:/PATHTOTHE_PROJECT/slim/
nohup python3.6 objectdetection/modelmain.py --pipelineconfigpath=fasterrcnnresnet101coco.config --modeldir=./savedmodels/ --numtrainsteps=20000 --numevalsteps=2000 --alsologtostderr > acnetrain.log & ```
Exporting the model
shell
python3.6 object_detection/export_inference_graph.py --input_type image_tensor --pipeline_config_path faster_rcnn_resnet101_coco.config --trained_checkpoint_prefix ./saved_models/model.ckpt-xxxxx --output_directory ./latest_models/
Pretrained model
A pretrained model (fasterrcnnresnet101) can be found at MEGA, another (fasterrcnninception_v2) at MEGA.
P.S. MEGA is the best cloud drive I've ever used. Strong recommendation for it.
Citation
latex
@article{thc_2022_acne_detection,
title = {{Acne Detection and Severity Evaluation with Interpretable Convolutional Neural Network Models}},
author = {Wen, Hao and Yu, Wenjian and Wu, Yuanqing and Zhao, Jun and Liu, Xiaolong and Kuang, Zhexiang and Fan, Rong},
journal = {Technology and Health Care},
doi = {10.3233/thc-228014},
issn = {1878-7401},
year = {2022},
month = {2},
publisher = {{IOS Press}},
volume = {30},
pages = {143--153}
}
Owner
- Name: WEN Hao
- Login: wenh06
- Kind: user
- Location: Beijing
- Company: Tsinghua University
- Twitter: wenh06
- Repositories: 5
- Profile: https://github.com/wenh06
GitHub Events
Total
- Watch event: 2
Last Year
- Watch event: 2
Dependencies
- tensorflow/tensorflow nightly-devel build