Migrate Brain Image Synthesis Latent Diffusion from GenerativeModels to model-zoo #722
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…s repo. Signed-off-by: Virginia <[email protected]>
… that no longer applies.
for more information, see https://pre-commit.ci
… longer necessary. On inference, modification of the entry point from save_jpg to run to allow for run to be called alone, and truncation of loading statements which are too long. Modification of the README to include command example changes.
…z/model-zoo into xray_classifier_port
for more information, see https://pre-commit.ci
For metadata, adjusted the versions, setting current to Initial Release. I also removed nibabel from the optional package requirements as this CXR produces JPG and does not deal with nifti files.
…z/model-zoo into xray_classifier_port
…erify_bundle to pass the check for model.pt, since the requirement for two models (autoencoder and diffusion_model) makes sense for them to keep their specific names. Modification of inference.json to add dummy attributes to pass the ConfigWorkflow check. Modification of large_files.yml so that models are .pt and not .pth.
…erify_bundle to pass the check for model.pt, since the requirement for two models (autoencoder and diffusion_model) makes sense for them to keep their specific names. Modification of inference.json to add dummy attributes to pass the ConfigWorkflow check. Modification of large_files.yml so that models are .pt and not .pth.
for more information, see https://pre-commit.ci
Add LICENSE file.
Modification of diffusion_model.pt name to model.pt to go through the verify_bundle Python function.
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Fixes # No issue assigned
Description
This is part of the effort on deprecating GenerativeModels and having all models available in the model-zoo instead.
Status
Ready
Please ensure all the checkboxes:
./runtests.sh --codeformat.versionandchangeloginmetadata.jsonif changing an existing bundle.CONTRIBUTING.md).monai,pytorchandnumpyare correct inmetadata.json.eval_metricsof the provided weights and TorchScript modules.large_file.yml./home/your_name/for"bundle_root").