georefinenet
Science Score: 44.0%
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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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○Academic publication links
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○Scientific vocabulary similarity
Low similarity (4.9%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: Thanaporn09
- Language: Python
- Default Branch: main
- Size: 10.6 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
GeoRefineNet: A Multistage Framework for Enhanced Cephalometric Landmark Detection in CBCT Images Using 3D Geometric Information
This is the official PyTorch implementation repository of our GeoRefineNet: A Multistage Framework for Enhanced Cephalometric Landmark Detection in CBCT Images Using 3D Geometric Information <- Link to paper: >
Prerequisites
- Python 3.7
- MMpose 0.23
- pyronn (PyTorch version): (https://github.com/theHamsta/pyronn-torch)
Usage of the code
- Dataset preparation
- The dataset structure should be in the following structure:
Inputs: PNG images and JSON file
└── <dataset name>
├── 2D_images
| ├── 001.png
│ ├── 002.png
│ ├── 003.png
│ ├── ...
|
└── JSON
├── train.json
└── test.json
- Example json format
{
"images": [
{
"id": 0,
"file_name": "0.png",
"height": 420,
"width": 620
},
...
],
"annotations": [
{
"image_id": 0,
"id": 0,
"category_id": 1,
"keypoints": [
604.5070198755171,
289.1590783982888,
2,
592.8121081534473,
261.62600827462876,
2,
428.0154934462112,
301.24809471563935,
2,
604.9223114040644,
234.45993184950234,
2,
570.296873380625,
182.90429052972533,
2,
456.97751121306436,
208.8105499707776,
2,
369.95414168150415,
239.07609878665616,
2,
307.83364934785106,
229.91052362204155,
2,
373.5995213621739,
353.599939601835,
2,
499.50552505239256,
453.1111418891231,
2,
493.50543334239256,
456.12341418891231,
2
],
"num_keypoints": 11,
"iscrowd": 0
},
...
]
- Output: 2D landmark coordinates
Owner
- Login: Thanaporn09
- Kind: user
- Repositories: 1
- Profile: https://github.com/Thanaporn09
Citation (CITATION.cff)
message: "(Citaion will be upated) If you use this code, please cite it as below." authors: - name: "Thanaporn Viriyasaranon, Serie Ma, and Jang-Hwan Choi" title: "Anatomical Landmark Detection Using a Multiresolution Learning Approach with a Hybrid Transformer-CNN Model" date-released: 2020-05-30 url: "https://github.com/seriee/Multiresolution-Learning-based-Hybrid-Transformer-CNN-Model-for-Anatomical-Landmark-Detection"
GitHub Events
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Dependencies
- actions/checkout v2 composite
- actions/setup-python v2 composite
- codecov/codecov-action v2 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
- pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
- numpy *
- torch >=1.3
- docutils ==0.16.0
- myst-parser *
- sphinx ==4.0.2
- sphinx_copybutton *
- sphinx_markdown_tables *
- mmcv-full >=1.3.8
- mmdet >=2.14.0
- mmtrack >=0.6.0
- albumentations >=0.3.2
- onnx *
- onnxruntime *
- pyrender *
- requests *
- smplx >=0.1.28
- trimesh *
- mmcv-full *
- munkres *
- regex *
- scipy *
- titlecase *
- torch *
- torchvision *
- xtcocotools >=1.8
- chumpy *
- dataclasses *
- json_tricks *
- matplotlib *
- munkres *
- numpy *
- opencv-python *
- pillow *
- scipy *
- torchvision *
- xtcocotools >=1.8
- coverage * test
- flake8 * test
- interrogate * test
- isort ==4.3.21 test
- pytest * test
- pytest-runner * test
- smplx >=0.1.28 test
- xdoctest >=0.10.0 test
- yapf * test