New Model: PialNN/pialnn/1.0.0

[hvgazula]

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

Sample data

https://hvgazula.github.io/pialnn-forked/sample.zip

Model config

No response

Test Command

python ./PialNN/pialnn/1.0.0/predict.py --model ./PialNN/pialnn/1.0.0/weights/pialnn_model_lh_200epochs.pt --data_path=./PialNN/pialnn/1.0.0/data/test/ --hemisphere=lh --save_mesh_eval=False

Read & Followed recommendations

• I have read and followed the recommedations in this form and have assigned myself to the issue.

[hvgazula]

Branch issue-102 created for issue: New Model: PialNN/pialnn/1.0.0

[github-actions]

[This is an automated message] Hello @hvgazula,

🔴 The folders/scripts you provided did not pass our tests. Please review the Action, and modify this issue's urls accordingly.

When ready, simply append "Ready XX" in the issue title (where XX is a number incrementing with 01 each time a fix has been applied).

[github-actions]

[This is an automated message] Hello @hvgazula,

🔴 The folders/scripts you provided did not pass our tests. Please review the Action, and modify this issue's urls accordingly.

When ready, simply append "Ready XX" in the issue title (where XX is a number incrementing with 01 each time a fix has been applied).