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README.md

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@@ -16,18 +16,29 @@ documentation for the Perphix datasets. It is provided separately for ease of in
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## Installation
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Perphix can be installed from PyPI:
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```bash
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pip install perphix
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```
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or from source:
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### Development
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Clone the repository and install from source using pip:
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```bash
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git clone git@github.com:arcadelab/perphix.git
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cd perphix
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pip install -e .
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```
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Alternatively, you can use the included `environment.yml` file to install an Anaconda environment.
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```bash
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conda env create -f environment.yml
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conda activate perphix
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```
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## Documentation
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The documentation for this project is hosted on [Read the Docs](https://perphix.readthedocs.io/en/latest/).
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If you find this work useful in your research, please consider citing:
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```bibtex
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TODO: add citation to MICCAI work.
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@InProceedings{KilleenPelphix2023,
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author = {Killeen, Benjamin D. and Zhang, Han and Mangulabnan, Jan and Armand, Mehran and Taylor, Russel H. and Osgood, Greg and Unberath, Mathias},
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title = {{Pelphix: Surgical Phase Recognition from X-ray Images in Percutaneous Pelvic Fixation}},
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booktitle={Medical Image Computing and Computer Assisted Intervention -- MICCAI 2023},
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journal = {arXiv},
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year = {2023},
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publisher = {Springer International Publishing},
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address = {Cham},
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pages = {to appear},
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}
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```

requirements.txt

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# TODO remove unused packages
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numpy
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rich
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pycocotools

setup.py

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setup(
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name="perphix",
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version="0.0.0",
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version="0.0.1",
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description="Utilities and documentation for the collection, annotation, and usage of X-ray image sequences for surgical phase recognition.",
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package_dir={"": "src"},
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long_description=open("README.md").read(),

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