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481 rotation of output images in prostate mri anatomy #482

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FaresAlMohamad
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Description

481-Rotation of output images in prostate_mri_anatomy

  • The transformations applied to the test data during preprocessing are not reversed during postprocessing. Thus, the resulting predictions have a different rotation compared to the original images and labels. I added an 'invertd()' function that reverses all the traceable transformations in the preprocessing.
  • Running the inference on a PC without a GPU leads to an error because the handlers function 'CheckpointLoader' attempts to load the model onto the GPU. I set the map_location argument to torch.device(device) so that it automatically loads the model onto the CPU when a GPU is not available.
  • Additionally, I changed some of the config directories as they were referring to the validation dataset rather than the test dataset.

Status

Ready

Please ensure all the checkboxes:

  • Codeformat tests passed locally by running ./runtests.sh --codeformat.
  • Update version and changelog in metadata.json if changing an existing bundle.
  • Please ensure the naming rules in config files meet our requirements (please refer to: CONTRIBUTING.md).
  • Ensure versions of packages such as monai, pytorch and numpy are correct in metadata.json.
  • Descriptions should be consistent with the content, such as eval_metrics of the provided weights and TorchScript modules.
  • Files larger than 25MB are excluded and replaced by providing download links in large_file.yml.
  • Avoid using path that contains personal information within config files (such as use /home/your_name/ for "bundle_root").

FaresAlMohamad and others added 3 commits August 5, 2023 02:09
481-Rotation of output images in prostate_mri_anatomy

- The transformations applied to the test data during preprocessing are not reversed during postprocessing. Thus, the resulting predictions have a different rotation compared to the original images and labels. I added an 'invertd()' function that reverses all the traceable transformations in the preprocessing.
- Running the inference on a PC without a GPU leads to an error because the handlers function 'CheckpointLoader' attempts to load the model onto the GPU. I set the map_location argument to torch.device(device) so that it automatically loads the model onto the CPU when a GPU is not available.
- Additionally, I changed some of the config directories as they were referring to the validation dataset rather than the test dataset.

Signed-off-by: FaresAlMohamad <[email protected]>
updated version and changelog after adding an invertd transformation to postprocessing, setting the map_location argument of the checkpointloader in handlers to torch.devide(device) for CPU compatibility and changing some directories. The changes are documented in the history of the inference.json file of prostate_mri_anatomy.

Signed-off-by: FaresAlMohamad <[email protected]>
@wyli
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wyli commented Aug 29, 2023

/build

@wyli wyli merged commit 3126f3c into Project-MONAI:dev Aug 29, 2023
2 checks passed
yiheng-wang-nv pushed a commit to yiheng-wang-nv/model-zoo that referenced this pull request Jul 29, 2024
)

### Description
481-Rotation of output images in prostate_mri_anatomy

- The transformations applied to the test data during preprocessing are
not reversed during postprocessing. Thus, the resulting predictions have
a different rotation compared to the original images and labels. I added
an 'invertd()' function that reverses all the traceable transformations
in the preprocessing.
- Running the inference on a PC without a GPU leads to an error because
the handlers function 'CheckpointLoader' attempts to load the model onto
the GPU. I set the map_location argument to torch.device(device) so that
it automatically loads the model onto the CPU when a GPU is not
available.
- Additionally, I changed some of the config directories as they were
referring to the validation dataset rather than the test dataset.

### Status
Ready

### Please ensure all the checkboxes:
<!--- Put an `x` in all the boxes that apply, and remove the not
applicable items -->
- [x] Codeformat tests passed locally by running `./runtests.sh
--codeformat`.
- [x] Update `version` and `changelog` in `metadata.json` if changing an
existing bundle.
- [x] Please ensure the naming rules in config files meet our
requirements (please refer to: `CONTRIBUTING.md`).
- [x] Ensure versions of packages such as `monai`, `pytorch` and `numpy`
are correct in `metadata.json`.
- [x] Descriptions should be consistent with the content, such as
`eval_metrics` of the provided weights and TorchScript modules.
- [x] Files larger than 25MB are excluded and replaced by providing
download links in `large_file.yml`.
- [x] Avoid using path that contains personal information within config
files (such as use `/home/your_name/` for `"bundle_root"`).

---------

Signed-off-by: FaresAlMohamad <[email protected]>
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3 participants