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Trained TensorFlow models for 3D image processing

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- [Note](https://gablab.slack.com/archives/G01DLL64143/p1708004272198329) - [Code](https://github.com/lab-smile/GRACE) - [Paper](https://direct.mit.edu/imag/article/doi/10.1162/imag_a_00090/119208/Precise-and-rapid-whole-head-segmentation-from)

From @satra to a question of maintaining a mapping between models and storage siblings- "you can push to all get from first/closest"

It makes much more sense and is cleaner to use datalad checkout instead of git checkout as the siblings are not readily known with the latter.

wontfix

Currently, the issue branch is retained in the remote repo and, (ideally) we want this branch to be deleted if the testing workflow fails. However, the key stumbling block is...

As of now, the workflow: https://github.com/neuronets/trained-models/blob/master/.github/workflows/get_model_data.js fails due to reformating of current directory distribution and standard model cards and specs.

bug

https://github.com/neuronets/trained-models/actions/runs/6762690478/job/18378961087#step:8:1 The input arguments don't match the order of arguments the function is expecting.

bug

Hello, This pull request updates the workflow "get_model_data", where now it parses the "model_card.yaml" instead of "spec.yaml". A live version of this update can be found on my fork's page:...

Partial workflow at https://github.com/hvgazula/trained-models/actions/runs/6806826215 barring pushing the branch and docker image on successful testing.

enhancement
help wanted

### Model's repository path PialNN/pialnn/1.0.0 ### Best model weights https://drive.google.com/uc?id=18KdBZLwd-8ld3SZoQCXAXwvrCtdeABU-&confirm=t ### Docker information https://github.com/gaiborjosue/DeepCSR-testing/tree/main/dockerP ### Model's python scripts https://github.com/gaiborjosue/DeepCSR-testing/blob/main/pial/predict.py https://github.com/gaiborjosue/DeepCSR-testing/blob/main/pial/utils.py https://github.com/hvgazula/pialnn-forked/tree/harsha/data https://github.com/hvgazula/pialnn-forked/tree/harsha/model https://github.com/gaiborjosue/DeepCSR-testing/blob/main/pial/config.py ### Model's card and spec https://github.com/gaiborjosue/trained-models-fork/blob/master/DeepCSR/deepcsr/1.0/spec.yaml https://github.com/gaiborjosue/trained-models-fork/blob/master/DeepCSR/deepcsr/1.0/model_card.yaml...

failed