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[nodes] LdrToHdrSampling: Exclude outliers from size computation

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Outliers are now supported for the HDR fusion nodes and are excluded
from the computations as soon as they have been detected. However,
the chunks' size computation still includes them, as it simply uses the
number of detected brackets and the total number of input images.

With this commit, the detected outliers are excluded from the chunks' size
computation, thus preventing any error that might occur because there
are too many chunks compared to the number of images that actually need
to be processed.
This commit is contained in:
Candice Bentéjac 2023-07-19 16:59:08 +02:00
parent cb8045b229
commit e76dbd2a4f
1 changed files with 8 additions and 1 deletions
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9
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