Pre-trained models and utilities for deep learning on medical images in Python (Keras/TensorFlow)
3.1K
antspynet Docker containers.
ANTsPyNet ordinarily downloads on demands and caches data and pre-trained networks. This is a problem for containerization, and risks wasted bandwidth if data is cached to non-persistent locations.
Therefore, container users MUST decide a strategy for handling the cache, either
Define a writeable cache location on the local disk, and mount into the container. The default location is /home/antspyusers/.keras/ANTsXNet. You can change this at run time with the set_antsxnet_cache_directory function.
Download data ahead of time and build into a custom container.
Please see
https://github.com/ANTsX/ANTsPyNet/tree/master/docker
https://github.com/ANTsX/ANTsPyNet
The README has links to examples and documentation. Please open an issue for bug reports, questions not answered in the documentation, or if you are interesting in contributing to the code.
ANTsPyNet is open source according to the Apache License 2.0
Content type
Image
Digest
sha256:66216dc3e…
Size
886.8 MB
Last updated
7 months ago
docker pull antsx/antspynetPulls:
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