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diff --git a/python-cgm-ml-common.spec b/python-cgm-ml-common.spec new file mode 100644 index 0000000..1e642b7 --- /dev/null +++ b/python-cgm-ml-common.spec @@ -0,0 +1,327 @@ +%global _empty_manifest_terminate_build 0 +Name: python-cgm-ml-common +Version: 3.1.7 +Release: 1 +Summary: ChildGrowthMonitor's ML Common code +License: GNU General Public License v3 (GPLv3) +URL: https://github.com/Welthungerhilfe/cgm-ml +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/5b/d6/8d2c520d7073ef8aa08de60b403461e9637b37d55221b3de258ed2badd68/cgm-ml-common-3.1.7.tar.gz +BuildArch: noarch + + +%description +[](https://codecov.io/gh/Welthungerhilfe/cgm-ml) +[](https://github.com/Welthungerhilfe/cgm-ml/actions/workflows/continous-integration.yml) +[](https://pypi.python.org/pypi/cgm-ml-common) +[](https://mybinder.org/v2/gh/Welthungerhilfe/cgm-ml/HEAD) +[](https://www.codefactor.io/repository/github/welthungerhilfe/cgm-ml) + +# Child Growth Monitor Machine Learning + +[Child Growth Monitor (CGM)](https://childgrowthmonitor.org) is a game-changing app to detect malnutrition. +If you have questions about the project, reach out to `info@childgrowthmonitor.org`. + +This is the Machine Learnine repository associated with the CGM project. + +## Introduction + +This project uses machine learning to identify malnutrition from 3D scans of children under 5 years of age. +This [one-minute video](https://www.youtube.com/watch?v=f2doV43jdwg) explains. + +## Getting started + +### Requirements + +You will need: +* Python 3.6 or Python 3.7 +* TensorFlow version 2 +* other libraries + +To install, run: + +```bash +pip install -r requirements.txt +``` + +We use [Microsoft Azure ML](https://azure.microsoft.com/en-us/services/machine-learning/) to manage our datasets, experiments, and models internally. +You can also run most of the code without AzureML though. + +### Dataset access + +Data access is provided on as-needed basis following signature of the Welthungerhilfe Data Privacy & Commitment to +Maintain Data Secrecy Agreement. If you need data access (e.g. to train your machine learning models), +please contact [Markus Matiaschek](mailto:info@childgrowthmonitor.org) for details. + +If you have access to scan data, you can use: `cgmml/data_utils` to understand and visualize the data. + +## Repository structure + +The source code is in `cgmml/`. + +Due to AzureML, all code for a single experiment run needs to reside in one directory. +Example: All code for one specific training, e.g. a ResNet training, needs to be in this training directory. + +However, many of our trainings (and also evaluation runs) share large portions of code. +In order to reduce code duplication, we copy shared(a.k.a. common) utility code with `copy_dir()` from `cgmml/common/` into the training/evaluation directory. +This way, during the experiment run, the code is in the directory and can be used during the run. + +### Run linting / tests + +```bash +# Make sure to be in the root dir of this repository +flake8 cgmml/ +pytest +``` + +### Release cgm-ml-common + +Common functionalities of this repo are released on pypi: <https://pypi.org/project/cgm-ml-common/> + +To release a new version of cgm-ml-common: +* Configure the version you wish to release in `setup.py` +* Publish the release using the pipeline `.github/workflows/pypi-release.yml` + +## Contributing + +Please see [CONTRIBUTING.md](CONTRIBUTING.md) for details. + +## Versioning + +Our [releases](https://github.com/Welthungerhilfe/cgm-ml/releases) use [semantic versioning](http://semver.org). +You can find a chronologically ordered list of notable changes in [CHANGELOG.md](CHANGELOG.md). + +## License + +This project is licensed under the GNU General Public License v3.0. See [LICENSE](LICENSE) for details and refer to [NOTICE](NOTICE) for additional licensing notes and use of third-party components. + + + + +%package -n python3-cgm-ml-common +Summary: ChildGrowthMonitor's ML Common code +Provides: python-cgm-ml-common +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-cgm-ml-common +[](https://codecov.io/gh/Welthungerhilfe/cgm-ml) +[](https://github.com/Welthungerhilfe/cgm-ml/actions/workflows/continous-integration.yml) +[](https://pypi.python.org/pypi/cgm-ml-common) +[](https://mybinder.org/v2/gh/Welthungerhilfe/cgm-ml/HEAD) +[](https://www.codefactor.io/repository/github/welthungerhilfe/cgm-ml) + +# Child Growth Monitor Machine Learning + +[Child Growth Monitor (CGM)](https://childgrowthmonitor.org) is a game-changing app to detect malnutrition. +If you have questions about the project, reach out to `info@childgrowthmonitor.org`. + +This is the Machine Learnine repository associated with the CGM project. + +## Introduction + +This project uses machine learning to identify malnutrition from 3D scans of children under 5 years of age. +This [one-minute video](https://www.youtube.com/watch?v=f2doV43jdwg) explains. + +## Getting started + +### Requirements + +You will need: +* Python 3.6 or Python 3.7 +* TensorFlow version 2 +* other libraries + +To install, run: + +```bash +pip install -r requirements.txt +``` + +We use [Microsoft Azure ML](https://azure.microsoft.com/en-us/services/machine-learning/) to manage our datasets, experiments, and models internally. +You can also run most of the code without AzureML though. + +### Dataset access + +Data access is provided on as-needed basis following signature of the Welthungerhilfe Data Privacy & Commitment to +Maintain Data Secrecy Agreement. If you need data access (e.g. to train your machine learning models), +please contact [Markus Matiaschek](mailto:info@childgrowthmonitor.org) for details. + +If you have access to scan data, you can use: `cgmml/data_utils` to understand and visualize the data. + +## Repository structure + +The source code is in `cgmml/`. + +Due to AzureML, all code for a single experiment run needs to reside in one directory. +Example: All code for one specific training, e.g. a ResNet training, needs to be in this training directory. + +However, many of our trainings (and also evaluation runs) share large portions of code. +In order to reduce code duplication, we copy shared(a.k.a. common) utility code with `copy_dir()` from `cgmml/common/` into the training/evaluation directory. +This way, during the experiment run, the code is in the directory and can be used during the run. + +### Run linting / tests + +```bash +# Make sure to be in the root dir of this repository +flake8 cgmml/ +pytest +``` + +### Release cgm-ml-common + +Common functionalities of this repo are released on pypi: <https://pypi.org/project/cgm-ml-common/> + +To release a new version of cgm-ml-common: +* Configure the version you wish to release in `setup.py` +* Publish the release using the pipeline `.github/workflows/pypi-release.yml` + +## Contributing + +Please see [CONTRIBUTING.md](CONTRIBUTING.md) for details. + +## Versioning + +Our [releases](https://github.com/Welthungerhilfe/cgm-ml/releases) use [semantic versioning](http://semver.org). +You can find a chronologically ordered list of notable changes in [CHANGELOG.md](CHANGELOG.md). + +## License + +This project is licensed under the GNU General Public License v3.0. See [LICENSE](LICENSE) for details and refer to [NOTICE](NOTICE) for additional licensing notes and use of third-party components. + + + + +%package help +Summary: Development documents and examples for cgm-ml-common +Provides: python3-cgm-ml-common-doc +%description help +[](https://codecov.io/gh/Welthungerhilfe/cgm-ml) +[](https://github.com/Welthungerhilfe/cgm-ml/actions/workflows/continous-integration.yml) +[](https://pypi.python.org/pypi/cgm-ml-common) +[](https://mybinder.org/v2/gh/Welthungerhilfe/cgm-ml/HEAD) +[](https://www.codefactor.io/repository/github/welthungerhilfe/cgm-ml) + +# Child Growth Monitor Machine Learning + +[Child Growth Monitor (CGM)](https://childgrowthmonitor.org) is a game-changing app to detect malnutrition. +If you have questions about the project, reach out to `info@childgrowthmonitor.org`. + +This is the Machine Learnine repository associated with the CGM project. + +## Introduction + +This project uses machine learning to identify malnutrition from 3D scans of children under 5 years of age. +This [one-minute video](https://www.youtube.com/watch?v=f2doV43jdwg) explains. + +## Getting started + +### Requirements + +You will need: +* Python 3.6 or Python 3.7 +* TensorFlow version 2 +* other libraries + +To install, run: + +```bash +pip install -r requirements.txt +``` + +We use [Microsoft Azure ML](https://azure.microsoft.com/en-us/services/machine-learning/) to manage our datasets, experiments, and models internally. +You can also run most of the code without AzureML though. + +### Dataset access + +Data access is provided on as-needed basis following signature of the Welthungerhilfe Data Privacy & Commitment to +Maintain Data Secrecy Agreement. If you need data access (e.g. to train your machine learning models), +please contact [Markus Matiaschek](mailto:info@childgrowthmonitor.org) for details. + +If you have access to scan data, you can use: `cgmml/data_utils` to understand and visualize the data. + +## Repository structure + +The source code is in `cgmml/`. + +Due to AzureML, all code for a single experiment run needs to reside in one directory. +Example: All code for one specific training, e.g. a ResNet training, needs to be in this training directory. + +However, many of our trainings (and also evaluation runs) share large portions of code. +In order to reduce code duplication, we copy shared(a.k.a. common) utility code with `copy_dir()` from `cgmml/common/` into the training/evaluation directory. +This way, during the experiment run, the code is in the directory and can be used during the run. + +### Run linting / tests + +```bash +# Make sure to be in the root dir of this repository +flake8 cgmml/ +pytest +``` + +### Release cgm-ml-common + +Common functionalities of this repo are released on pypi: <https://pypi.org/project/cgm-ml-common/> + +To release a new version of cgm-ml-common: +* Configure the version you wish to release in `setup.py` +* Publish the release using the pipeline `.github/workflows/pypi-release.yml` + +## Contributing + +Please see [CONTRIBUTING.md](CONTRIBUTING.md) for details. + +## Versioning + +Our [releases](https://github.com/Welthungerhilfe/cgm-ml/releases) use [semantic versioning](http://semver.org). +You can find a chronologically ordered list of notable changes in [CHANGELOG.md](CHANGELOG.md). + +## License + +This project is licensed under the GNU General Public License v3.0. See [LICENSE](LICENSE) for details and refer to [NOTICE](NOTICE) for additional licensing notes and use of third-party components. + + + + +%prep +%autosetup -n cgm-ml-common-3.1.7 + +%build +%py3_build + +%install +%py3_install +install -d -m755 %{buildroot}/%{_pkgdocdir} +if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi +if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi +if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi +if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi +pushd %{buildroot} +if [ -d usr/lib ]; then + find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/lib64 ]; then + find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/bin ]; then + find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/sbin ]; then + find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst +fi +touch doclist.lst +if [ -d usr/share/man ]; then + find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst +fi +popd +mv %{buildroot}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-cgm-ml-common -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Mon May 15 2023 Python_Bot <Python_Bot@openeuler.org> - 3.1.7-1 +- Package Spec generated |