multidim-image-augmentation
This package provides TensorFlow Ops for multidimensional volumetric image augmentation.
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Download Latest Version (.zip)- color1.png
- elastic1.png
- elastic2.png
- elastic3.png
- elastic4.png
- elastic5.png
- elastic6.png
- elastic7.png
- elastic_deformation_figure.png
- intensity_transformations_figure.png
- color_augmentation_colab.md
- elastic_deformation_colab.md
- index.md
- apply_deformation.h
- apply_deformation_ops.cc
- apply_deformation_test.cc
- apply_tabulated_functions_op.cc
- apply_tabulated_functions_op_test.cc
- bspline.h
- bspline_test.cc
- cubic_interpolation.h
- cubic_interpolation_ops.cc
- cubic_interpolation_test.cc
- random_lut_controlpoints_op.cc
- apply_deformation_ops.cc
- apply_deformation_ops.h
- apply_tabulated_functions_op.cc
- cubic_interpolation1d_op.cc
- cubic_interpolation2d_op.cc
- cubic_interpolation3d_op.cc
- random_lut_controlpoints_op.cc
- types.h
- apply_deformation_op_test.py
- apply_tabulated_functions_op_test.py
- cubic_interpolation1d_op_test.py
- cubic_interpolation2d_op_test.py
- cubic_interpolation3d_op_test.py
- random_lut_controlpoints_op_test.py
- __init__.py
- augmentation_ops.py
- __init__.py
- __init__.py
- bluze.textproto
- BUILD
- deformation_utils.py
- deformation_utils_test.py
- opensource_only.files
- BUILD
- BUILD.tpl
- tf_configure.bzl
- empty.cc
- BUILD
- cc_toolchain_config.bzl
- cc_wrapper.sh
- dummy_toolchain.bzl
- WORKSPACE
- .bazelrc
- .dockerignore
- BUILD
- build_docker_and_upload_pip.sh
- build_pip_pkg.sh
- build_requirements.txt
- CONTRIBUTING.md
- Dockerfile
- LICENSE
- MANIFEST.in
- README.md
- setup.py
- WORKSPACE
# Installation Guide
1. Get the code
git clone https://github.com/google-deepmind/multidim-image-augmentation
Downloads the entire project code from GitHub to your computer.
cd multidim-image-augmentation
Moves into the project folder you just downloaded.
2. Official Install Script
Easy RecommendedPrerequisites
- Python 3 Python is required to use pip.
pip install image-augmentation
Installs the package published on PyPI directly β no need to clone the source.
After installing, open a new terminal and run the program's version command (e.g. --version) to confirm it worked.
Pulled directly from this repo's README.
3. Docker
EasyPrerequisites
- Git Needed to download the project code from GitHub.
- Docker Desktop Needed to build and run containers. Install it and keep it running in the background.
docker build . -t multidim-image-augmentation
Builds a runnable image based on the Dockerfile.
Run docker compose ps to check the containers are Up. If the README mentions a port, open http://localhost:PORT in your browser.
Pulled directly from this repo's README.
4. Python
EasyPrerequisites
pip install image-augmentation
Installs the package published on PyPI directly β no need to clone the source.
If it runs without errors and prints output in the terminal, it worked.
Pulled directly from this repo's README.
// repository documentation
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