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[HDR sampling and calib nodes]
Add calibrationMethod as parameter at sampling. Link calibrationMethod parameter of calib node to sampling node's calibrationMethod parameter in both HDR pipelines.
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281991901d
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3 changed files with 20 additions and 4 deletions
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@ -81,9 +81,23 @@ class LdrToHdrSampling(desc.AVCommandLineNode):
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description="Bypass HDR creation and use the medium bracket as the source for the next steps",
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value=False,
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uid=[0],
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group='internal',
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enabled= lambda node: node.nbBrackets.value != 1,
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),
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desc.ChoiceParam(
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name='calibrationMethod',
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label='Calibration Method',
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description="Method used for camera calibration \n"
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" * Linear: Disable the calibration and assumes a linear Camera Response Function. If images are encoded in a known colorspace (like sRGB for JPEG), the images will be automatically converted to linear. \n"
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" * Debevec: This is the standard method for HDR calibration. \n"
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" * Grossberg: Based on learned database of cameras, it allows to reduce the CRF to few parameters while keeping all the precision. \n"
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" * Laguerre: Simple but robust method estimating the minimal number of parameters. \n"
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" * Robertson: First method for HDR calibration in the literature. \n",
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values=['linear', 'debevec', 'grossberg', 'laguerre'],
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value='debevec',
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exclusive=True,
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uid=[0],
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enabled= lambda node: node.byPass.enabled and not node.byPass.value,
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),
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desc.IntParam(
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name='channelQuantizationPower',
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label='Channel Quantization Power',
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@ -164,7 +178,7 @@ class LdrToHdrSampling(desc.AVCommandLineNode):
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]
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def processChunk(self, chunk):
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if chunk.node.nbBrackets.value == 1 or chunk.node.byPass.value:
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if chunk.node.nbBrackets.value == 1:
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return
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super(LdrToHdrSampling, self).processChunk(chunk)
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