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Merge pull request #2119 from alicevision/dev/hdrSamplingChunkSize

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[nodes] LdrToHdrSampling: Exclude outliers from size computation
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Candice Bentéjac 2023-07-19 17:27:28 +02:00 • committed by GitHub
commit d30c619ec6
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1 changed files with 8 additions and 1 deletions
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meshroom/nodes/aliceVision/LdrToHdrSampling.py
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@ -39,7 +39,9 @@ class DividedInputNodeSize(desc.DynamicNodeSize):
divParam = node.attribute(self._divParam)
if divParam.value == 0:
return s
return s / divParam.value
# s is the total number of inputs and may include outliers, that will not be used
# during computations and should thus be excluded from the size computation
return (s - node.outliersNb) / divParam.value
class LdrToHdrSampling(desc.AVCommandLineNode):
@ -53,6 +55,8 @@ class LdrToHdrSampling(desc.AVCommandLineNode):
Sample pixels from Low range images for HDR creation.
'''
outliersNb = 0 # Number of detected outliers among the input images
inputs = [
desc.File(
name="input",
@ -201,6 +205,7 @@ Sample pixels from Low range images for HDR creation.
if "userNbBrackets" not in node.getAttributes().keys():
# Old version of the node
return
node.outliersNb = 0 # Reset the number of detected outliers
if node.userNbBrackets.value != 0:
node.nbBrackets.value = node.userNbBrackets.value
return
@ -288,4 +293,6 @@ Sample pixels from Low range images for HDR creation.
else:
bestTuple = bracketSizes.most_common(1)[0]
bestBracketSize = bestTuple[0]
bestCount = bestTuple[1]
node.outliersNb = len(inputs) - (bestBracketSize * bestCount) # Compute number of outliers
node.nbBrackets.value = bestBracketSize