Project-MONAI · aman0311x · Dec 22, 2025 · Dec 22, 2025 · Dec 22, 2025 · Dec 22, 2025
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@@ -0,0 +1,114 @@
+[33mbc38c962[m[33m ([m[1;36mHEAD[m[33m -> [m[1;32mdev[m[33m)[m Fix PerceptualLoss enum references and docstrings
+[33mbe2869df[m Fix network_type docstring formatting in PerceptualLoss
+[33mccea8930[m[33m ([m[1;31morigin/dev[m[33m, [m[1;31morigin/HEAD[m[33m)[m DCO Remediation Commit for Mohammad Amanour Rahman <[email protected]>
+[33m0c667a99[m DCO Remediation Commit for Mohammad Amanour Rahman <[email protected]>
+[33mea64afaf[m DCO Remediation Commit for Mohammad Amanour Rahman <[email protected]>
+[33m3e92d74e[m Fix PerceptualLoss enum references and docstrings
+[33m84e7d704[m DCO Remediation Commit for Mohammad Amanour Rahman <[email protected]>
+[33meeef1729[m DCO Remediation Commit for Mohammad Amanour Rahman <[email protected]>
+[33mcc0c951f[m Fix PerceptualLoss enum references and docstrings
+[33m96ea131f[m DCO Remediation Commit for Mohammad Amanour Rahman <[email protected]>
+[33me2d0a027[m DCO Remediation Commit for Mohammad Amanour Rahman <[email protected]>
+[33m7ce29a1e[m Fix network_type docstring formatting in PerceptualLoss
+[33m15fd428c[m Bump actions/checkout from 4 to 6 (#8649)
+[33me5417c86[m Bump al-cheb/configure-pagefile-action from 1.4 to 1.5 (#8648)
+[33mc1d02cf1[m Bump peter-evans/slash-command-dispatch from 4.0.0 to 5.0.0 (#8650)
+[33me2677053[m Added an optional_import check for onnxruntime and applied the @unitt… (#8641)
+[33m04a89ee9[m Generate heatmap transforms (#8579)
+[33mf493ecdd[m 8620 modulenotfounderror no module named onnxscript in test py3x 311 pipeline (#8638)
+[33m9a456274[m Fix #8350: Clarify LocalNormalizedCrossCorrelationLoss docstring (#8639)
+[33m865b0e70[m Update documentation links (#8637)
+[33mc968907c[m Fix #8599: Add track_meta and weights_only arguments to PersistentDataset for MetaTensor support. (#8628)
+[33m806c0e84[m Fix index using tuple for image cropping operation (#8633)
+[33m23c271ea[m feat: add activation checkpointing to unet (#8554)
+[33m16e469c8[m Correct H&E stain ordering heuristic in ExtractHEStains (#8551)
+[33ma8a7e575[m timestep scheduling with np.linspace (#8623)
+[33mf315bcb0[m 8620 ModuleNotFoundError: No module named \'onnxscript\' in test-py3x (3.11) pipeline (#8621)
+[33me72145ce[m Fix box_iou returning 0 for floating-point results less than 1. #8369 (#8553)
+[33m579cec52[m added ReduceTrait and FlattenSequence  (#8531)
+[33md260b785[m Bump github/codeql-action from 3 to 4 (#8616)
+[33mb10410ce[m Bump actions/upload-artifact from 4 to 5 (#8615)
+[33m69444c13[m Bump actions/download-artifact from 5 to 6 (#8614)
+[33md9cfa3e6[m Bump peter-evans/create-or-update-comment from 4 to 5 (#8612)
+[33m09ace633[m Include more-itertools in build env (#8611)
+[33m42a99477[m 8564 fourier positional encoding (#8570)
+[33m69f3dd26[m Bump actions/setup-python from 5 to 6 (#8589)
+[33mc4a1acc8[m Bump actions/checkout from 4 to 5 (#8588)
+[33m8a2efcb0[m Bump actions/download-artifact from 4 to 5 (#8590)
+[33m53382d83[m Update citation for 1.5.1 (#8582)
+[33m9c6d819f[m Release 1.5.1 Updates (#8575)
+[33m9122739e[m Removing instantiation in forward (#8580)
+[33mcf5790db[m Fix gdown fails (#8576)
+[33mcf5505a5[m Diffusion Model Encoder has an output layer set in forward method and this leads to problems (#8578)
+[33m6327a861[m Transformers version (#8574)
+[33m946cfdff[m Path traversal issue security fix (#8568)
+[33m948fbb70[m Torch and Pickle Safe Load Fixes (#8566)
+[33m401ea4a0[m Fix hardcoded input dim in DiffusionModelEncoder (#8514)
+[33mfd13c1b5[m Create SECURITY.md (#8546)
+[33m725c8dea[m Torchvision pretrain fix (#8563)
+[33mb5bc69d0[m Classifier free guidance unconditioned value (#8562)
+[33m0968da20[m Improve Orientation transform to use the "space" (LPS vs RAS) of a metatensor by default (#8473)
+[33md4ba52e3[m Fix build failure by pinning pyamg to versions below 5.3.0 (#8548)
+[33mcb200af0[m Tests Cleanup  (#8535)
+[33m1e6c6615[m 8525 improve documentation on the datalist format (#8539)
+[33mcf869814[m fix: HistogramNormalized doc (#8543)
+[33mcafc1feb[m Pytorch 2.8 Support (#8530)
+[33mb92b2ce8[m Add support for optional conditioning in PatchInferer, SliceInferer, and SlidingWindowInferer (#8400)
+[33m2a12c4b4[m Add input validation to ImageStats class (#8501)
+[33mede6ace8[m Throw exception on invalid images in retinanet detector (#8515)
+[33m1dc0e68c[m 8185 test refactor 2 (#8405)
+[33m503b4ede[m fix bug in maisi vae (#8517)
+[33m8ee3f89b[m Updates for Pytorch 2.7 (#8429)
+[33mdef42221[m Adding .coderabbit.yaml File (#8513)
+[33me0be5d27[m Update README badges to add research paper citations number (#8494)
+[33me499362b[m add kwargs in array and functional file (#8508)
+[33m4b69748a[m ci: add custom timeout to ci job in order to save resources (#8504)
+[33md388d1c6[m Update citation (#8484)
+[33m3d6021a6[m Fix: ZarrAvgMerger ValueError with zarr_format 3 (#8477)
+[33md38c93f9[m Removed or Replaced Broken URLs (#8483)
+[33me5c512ff[m Fix integration test in 24.10 (#8480)
+[33m423ea748[m Fixing URLs in README.md (#8481)
+[33mdfe6fc77[m Changelog For 1.5 (#8474)
+[33mc3a317d2[m Adding CODEOWNERS (#8457)
+[33mc3a3397d[m Remove unused test cases in bundle load (#8463)
+[33m2d416557[m Classifier free guidance (#8460)
+[33mf85135b0[m Remove deprecated `net_name` in test file (#8461)
+[33md4b4bff9[m Adding Support Policy + Doc Updates (#8458)
+[33m222d5094[m Migrate to modern Python Logger API (#8449)
+[33mbf6bc1fd[m Enable code coverage comments on PRs in codecov configuration (#8402)
+[33m707b2305[m Remove deprecated `return_state_dict ` in bundle `load` (#8454)
+[33m03a0d851[m Fix AutoencoderKL docstrings. (#8445)
+[33mdaf9f054[m Update default overlap value in occlusion_sensitivity to 0.6 (#8446)
+[33mf97a0e9b[m Remove deprecated functionality for v1.5 (#8430)
+[33m4305bb81[m :bug: fix cosine noise scheduler (#8427)
+[33m0d19a72f[m  Temporarily Restrict setuptools Version to 79.0.1 (#8441)
+[33mb58e883c[m selfattention block: Remove the fc linear layer if it is not used (#8325)
+[33mf27517b8[m Inverse Threading Fix (#8418)
+[33m8f3d8e87[m Update get latest bundle version function (#8420)
+[33meadffd24[m Fix OptionalImportError: required package `openslide` is not installed (#8419)
+[33m9586071c[m Add Skip test in TestTranschex (#8416)
+[33m6c8de354[m 8394 Update bundle download API (#8403)
+[33m83dcd35c[m Fix: correctly apply fftshift to real-valued data inputs (#8407)
+[33m90ead4bf[m 8328 nnunet bundle integration (#8329)
+[33m4986d7ff[m Auto3DSeg algo_template hash update (#8406)
+[33mbfcb318b[m Restormer Implementation (#8312)
+[33m8aef9a98[m Update Dice Metric Docs (#8388)
+[33m5c5ca232[m Auto3DSeg algo_template hash update (#8397)
+[33m0f5da113[m Auto3DSeg algo_template hash update (#8393)
+[33m41d6c9c2[m 8201 Fix DataFrame subsets indexing in CSVDataset() (#8351)
+[33m34f37973[m add prediction type for rflow scheduler (#8386)
+[33m90de55b1[m Add rectified flow noise scheduler for accelerated diffusion model (#8374)
+[33m7c26e5af[m Enable Pytorch 2.6 (#8309)
+[33m1983f277[m Auto3DSeg algo_template hash update (#8378)
+[33m2e391c82[m Bump torch minimum to mitigate CVE-2024-31580 & CVE-2024-31583 and enable numpy 2 compatibility (#8368)
+[33ma09c1f08[m Update monaihosting download method (#8364)
+[33mab075234[m Modify ControlNet inferer so that it takes in context when the diffus… (#8360)
+[33ma7905909[m 8354 fix path at test onnx trt export (#8361)
+[33md98f3481[m Solves path problem in test_bundle_trt_export.py (#8357)
+[33maf54a17b[m Add Average Precision to metrics (#8089)
+[33mb0ed2534[m Fix CommonKeys docstring (#8342)
+[33mfb8c5bf7[m Removed outdated `torch` version checks from transform functions (#8359)
+[33m960c59b4[m Fix `packaging` imports in version comparison logic (#8347)
+[33m0a85eed2[m Inferer modification - save_intermediates clashes with latent shape adjustment in latent diffusion inferers (#8343)
+[33m44add8d1[m Bump min torch to 1.13.1 to mitigate CVE-2022-45907 unsafe usage of eval (#8296)
+[33me538f7fd[m Recursive Item Mapping for Nested Lists in Compose  (#8187)
@@ -23,7 +23,7 @@
 torchvision, _ = optional_import("torchvision")
 
 
-class PercetualNetworkType(StrEnum):
+class PerceptualNetworkType(StrEnum):
     alex = "alex"
     vgg = "vgg"
     squeeze = "squeeze"
@@ -49,9 +49,15 @@ class PerceptualLoss(nn.Module):
 
     Args:
         spatial_dims: number of spatial dimensions.
-        network_type: {``"alex"``, ``"vgg"``, ``"squeeze"``, ``"radimagenet_resnet50"``,
-        ``"medicalnet_resnet10_23datasets"``, ``"medicalnet_resnet50_23datasets"``, ``"resnet50"``}
-            Specifies the network architecture to use. Defaults to ``"alex"``.
+        network_type: str | PercetualNetworkType = PercetualNetworkType.alex,
+            One of:
+            - "alex"
+            - "vgg"
+            - "squeeze"
+            - "radimagenet_resnet50"
+            - "medicalnet_resnet10_23datasets"
+            - "medicalnet_resnet50_23datasets"
+            - "resnet50"
         is_fake_3d: if True use 2.5D approach for a 3D perceptual loss.
         fake_3d_ratio: ratio of how many slices per axis are used in the 2.5D approach.
         cache_dir: path to cache directory to save the pretrained network weights.
@@ -70,7 +76,7 @@ class PerceptualLoss(nn.Module):
     def __init__(
         self,
         spatial_dims: int,
-        network_type: str = PercetualNetworkType.alex,
+        network_type: str = PerceptualNetworkType.alex,
         is_fake_3d: bool = True,
         fake_3d_ratio: float = 0.5,
         cache_dir: str | None = None,
@@ -93,10 +99,10 @@ def __init__(
         if channel_wise and "medicalnet_" not in network_type:
             raise ValueError("Channel-wise loss is only compatible with MedicalNet networks.")
 
-        if network_type.lower() not in list(PercetualNetworkType):
+        if network_type.lower() not in list(PerceptualNetworkType):
             raise ValueError(
                 "Unrecognised criterion entered for Adversarial Loss. Must be one in: %s"
-                % ", ".join(PercetualNetworkType)
+                % ", ".join(PerceptualNetworkType)
             )
 
         if cache_dir: