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Porting of the X-Ray Latent Diffusion Models model from MONAI Generative Models into model-zoo. #718

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Feb 5, 2025
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c80a92a
Initial commit of CXR Latent Diffusion model from the GenerativeModel…
Dec 9, 2024
fe87cb4
Modify the README.md file as it contained something from the old repo…
Dec 9, 2024
de4e198
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Dec 9, 2024
315276b
Modification of metadata to remove generative package requirement, no…
Dec 12, 2024
f2a5c1a
Merge branch 'Project-MONAI:dev' into xray_classifier_port
virginiafdez Dec 12, 2024
887c472
Merge branch 'xray_classifier_port' of https://github.com/virginiafde…
Dec 12, 2024
4ec50d2
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Dec 12, 2024
13da7b1
Added hash values and types to large_files.yml.
Dec 17, 2024
5f95a10
Merge branch 'xray_classifier_port' of https://github.com/virginiafde…
Dec 17, 2024
b856c15
Initial commit of mednist-ddpm
Jan 12, 2025
efa9d0a
mednist_ddpm commit. I have cleared the absolute paths to my personal…
Jan 13, 2025
529e78b
Added unit test to test the CXR sampling, which works now. Modified v…
Jan 13, 2025
1f3185d
Added unit test to test the CXR sampling, which works now. Modified v…
Jan 13, 2025
1d93cc0
Removal of absolute path
Jan 13, 2025
b62b4eb
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Jan 13, 2025
2e82076
Run autofix
Jan 14, 2025
8a1b7da
Modify script > inv function by operator.lt in train.yaml.
Jan 14, 2025
86406e0
Merge branch 'mednist_ddpm' of https://github.com/virginiafdez/model-…
Jan 14, 2025
393dab9
Merge remote-tracking branch 'origin/mednist_ddpm' into xray_classifi…
garciadias Jan 14, 2025
3c33a87
Change of autoencoder.pth to autoencoder.pt on scripts.
Jan 15, 2025
c7d2653
Add authors to metadata.json.
Jan 17, 2025
661371f
Remove mednist ddpm folder from the x-ray branch as it shouldn't be t…
Jan 17, 2025
1f9eb75
image feature missing from metadata.json. Added placeholder.
Jan 17, 2025
2d130ab
Remove unecessary imports from test.
Jan 17, 2025
6108151
Merge branch 'dev' into xray_classifier_port
yiheng-wang-nv Jan 21, 2025
52c181d
Remove unecessary fields from metadata; change network def.
Jan 27, 2025
236e01d
Remove unecessary fields from metadata; change network def.
Jan 27, 2025
c9b50d4
Move contents of common.yaml to train and inference.
Jan 28, 2025
68abe10
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Jan 28, 2025
b069066
Add cxr bundle to exception list in bundle_custom_data.
Feb 5, 2025
07a6c7a
Run autofix.
Feb 5, 2025
cde331d
Update isort version
Feb 5, 2025
eb33b0f
Update black version
Feb 5, 2025
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Added hash values and types to large_files.yml.
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.
Virginia committed Dec 17, 2024
commit 13da7b1d70b5497738730633b5f4a256a1151112
Original file line number Diff line number Diff line change
@@ -2,14 +2,13 @@
"schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20220324.json",
"version": "1.0.0",
"changelog": {
"0.2": "Flipped images fixed"
"1.0.0": "Initial release"
},
"monai_version": "1.1.0",
"pytorch_version": "1.13.0",
"numpy_version": "1.22.4",
"monai_version": "1.4.0",
"pytorch_version": "2.5.1",
"numpy_version": "1.26.4",
"optional_packages_version": {
"nibabel": "4.0.1",
"transformers": "4.26.1"
"transformers": "4.46.3"
},
"task": "Chest X-ray image synthesis",
"description": "A generative model for creating high-resolution chest X-ray based on MIMIC dataset",
Original file line number Diff line number Diff line change
@@ -1,9 +1,9 @@
large_files:
- path: "models/autoencoder.pth"
url: "https://drive.google.com/uc?export=download&id=1paDN1m-Q_Oy8d_BanPkRTi3RlNB_Sv_h"
hash_val: ""
hash_type: ""
hash_val: "7f579cb789597db7bb5de1488f54bc6c"
hash_type: "md5"
- path: "models/diffusion_model.pth"
url: "https://drive.google.com/uc?export=download&id=1CjcmiPu5_QWr-f7wDJsXrCCcVeczneGT"
hash_val: ""
hash_type: ""
hash_val: "c3fd4c8e38cd1d7250a8903cca935823"
hash_type: "md5"