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Still need to cap holoscan at v3.5.0 needing Python 3.9 for Doc build]
Signed-off-by: M Q <[email protected]>
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monai/deploy/operators/dicom_series_to_volume_operator.py

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@@ -97,7 +97,7 @@ def convert_to_image(self, study_selected_series_list: List[StudySelectedSeries]
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# PatientPosition is other than HFS.
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# NOTE: This value is properly parsed by MONAI Orientation transform from v1.5.1 onwards.
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# Some early MONAI model inference configs incorrectly specify orientation to RAS
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# due part to previous MONAI versions did not correctly parsing this metadata from
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# due part to previous MONAI versions did not correctly parse this metadata from
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# the input MetaTensor and defaulting to RAS. Now with LPS properly set, the inference
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# configs then need to be updated to specify LPS, to achieve the same result.
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metadata.update(self.METADATA_SPACE_LPS)

requirements.txt

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holoscan>=3.5.0
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holoscan-cli>=3.5.0
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holoscan<=3.5.0
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holoscan-cli<=3.5.0
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numpy>=1.21.6
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colorama>=0.4.1
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tritonclient[all]>=2.53.0

setup.cfg

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@@ -24,8 +24,8 @@ python_requires = >=3.9, <3.14
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# cucim
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install_requires =
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numpy>=1.21.6
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holoscan>=3.5.0
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holoscan-cli>=3.5.0
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holoscan<=3.5.0
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holoscan-cli<=3.5.0
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colorama>=0.4.1
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tritonclient[all]>=2.53.0
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typeguard>=3.0.0

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