mirror of
https://github.com/alicevision/Meshroom.git
synced 2025-05-20 04:26:28 +02:00
223 lines
8.1 KiB
Python
223 lines
8.1 KiB
Python
__version__ = "3.0"
|
|
|
|
import json
|
|
|
|
from meshroom.core import desc
|
|
|
|
|
|
def findMetadata(d, keys, defaultValue):
|
|
v = None
|
|
for key in keys:
|
|
v = d.get(key, None)
|
|
k = key.lower()
|
|
if v is not None:
|
|
return v
|
|
for dk, dv in d.items():
|
|
dkm = dk.lower().replace(" ", "")
|
|
if dkm == key.lower():
|
|
return dv
|
|
dkm = dkm.split(":")[-1]
|
|
dkm = dkm.split("/")[-1]
|
|
if dkm == k:
|
|
return dv
|
|
return defaultValue
|
|
|
|
|
|
class DividedInputNodeSize(desc.DynamicNodeSize):
|
|
"""
|
|
The LDR2HDR will reduce the amount of views in the SfMData.
|
|
This class converts the number of LDR input views into the number of HDR output views.
|
|
"""
|
|
def __init__(self, param, divParam):
|
|
super(DividedInputNodeSize, self).__init__(param)
|
|
self._divParam = divParam
|
|
def computeSize(self, node):
|
|
s = super(DividedInputNodeSize, self).computeSize(node)
|
|
divParam = node.attribute(self._divParam)
|
|
if divParam.value == 0:
|
|
return s
|
|
return s / divParam.value
|
|
|
|
|
|
class LdrToHdrSampling(desc.CommandLineNode):
|
|
commandLine = 'aliceVision_LdrToHdrSampling {allParams}'
|
|
size = DividedInputNodeSize('input', 'nbBrackets')
|
|
parallelization = desc.Parallelization(blockSize=2)
|
|
commandLineRange = '--rangeStart {rangeStart} --rangeSize {rangeBlockSize}'
|
|
|
|
documentation = '''
|
|
Sample pixels from Low range images for HDR creation
|
|
'''
|
|
|
|
inputs = [
|
|
desc.File(
|
|
name='input',
|
|
label='Input',
|
|
description='SfMData file.',
|
|
value='',
|
|
uid=[0],
|
|
),
|
|
desc.IntParam(
|
|
name='userNbBrackets',
|
|
label='Number of Brackets',
|
|
description='Number of exposure brackets per HDR image (0 for automatic detection).',
|
|
value=0,
|
|
range=(0, 15, 1),
|
|
uid=[0],
|
|
group='user', # not used directly on the command line
|
|
),
|
|
desc.IntParam(
|
|
name='nbBrackets',
|
|
label='Automatic Nb Brackets',
|
|
description='Number of exposure brackets used per HDR image. It is detected automatically from input Viewpoints metadata if "userNbBrackets" is 0, else it is equal to "userNbBrackets".',
|
|
value=0,
|
|
range=(0, 10, 1),
|
|
uid=[],
|
|
),
|
|
desc.BoolParam(
|
|
name='byPass',
|
|
label='Bypass',
|
|
description="Bypass HDR creation and use the medium bracket as the source for the next steps",
|
|
value=False,
|
|
uid=[0],
|
|
group='internal',
|
|
enabled= lambda node: node.nbBrackets.value != 1,
|
|
),
|
|
desc.IntParam(
|
|
name='channelQuantizationPower',
|
|
label='Channel Quantization Power',
|
|
description='Quantization level like 8 bits or 10 bits.',
|
|
value=10,
|
|
range=(8, 14, 1),
|
|
uid=[0],
|
|
advanced=True,
|
|
enabled= lambda node: node.byPass.enabled and not node.byPass.value,
|
|
),
|
|
desc.IntParam(
|
|
name='blockSize',
|
|
label='Block Size',
|
|
description='Size of the image tile to extract a sample.',
|
|
value=256,
|
|
range=(8, 1024, 1),
|
|
uid=[0],
|
|
advanced=True,
|
|
enabled= lambda node: node.byPass.enabled and not node.byPass.value,
|
|
),
|
|
desc.IntParam(
|
|
name='radius',
|
|
label='Patch Radius',
|
|
description='Radius of the patch used to analyze the sample statistics.',
|
|
value=5,
|
|
range=(0, 10, 1),
|
|
uid=[0],
|
|
advanced=True,
|
|
enabled= lambda node: node.byPass.enabled and not node.byPass.value,
|
|
),
|
|
desc.IntParam(
|
|
name='maxCountSample',
|
|
label='Max Number of Samples',
|
|
description='Max number of samples per image group.',
|
|
value=200,
|
|
range=(10, 1000, 10),
|
|
uid=[0],
|
|
advanced=True,
|
|
enabled= lambda node: node.byPass.enabled and not node.byPass.value,
|
|
),
|
|
desc.BoolParam(
|
|
name='debug',
|
|
label='Export Debug Files',
|
|
description="Export debug files to analyze the sampling strategy.",
|
|
value=False,
|
|
uid=[],
|
|
enabled= lambda node: node.byPass.enabled and not node.byPass.value,
|
|
),
|
|
desc.ChoiceParam(
|
|
name='verboseLevel',
|
|
label='Verbose Level',
|
|
description='verbosity level (fatal, error, warning, info, debug, trace).',
|
|
value='info',
|
|
values=['fatal', 'error', 'warning', 'info', 'debug', 'trace'],
|
|
exclusive=True,
|
|
uid=[],
|
|
)
|
|
]
|
|
|
|
outputs = [
|
|
desc.File(
|
|
name='output',
|
|
label='Output Folder',
|
|
description='Output path for the samples.',
|
|
value=desc.Node.internalFolder,
|
|
uid=[],
|
|
),
|
|
]
|
|
|
|
def processChunk(self, chunk):
|
|
if chunk.node.nbBrackets.value == 1 or chunk.node.byPass.value:
|
|
return
|
|
super(LdrToHdrSampling, self).processChunk(chunk)
|
|
|
|
@classmethod
|
|
def update(cls, node):
|
|
if not isinstance(node.nodeDesc, cls):
|
|
raise ValueError("Node {} is not an instance of type {}".format(node, cls))
|
|
# TODO: use Node version for this test
|
|
if 'userNbBrackets' not in node.getAttributes().keys():
|
|
# Old version of the node
|
|
return
|
|
if node.userNbBrackets.value != 0:
|
|
node.nbBrackets.value = node.userNbBrackets.value
|
|
return
|
|
# logging.info("[LDRToHDR] Update start: version:" + str(node.packageVersion))
|
|
cameraInitOutput = node.input.getLinkParam(recursive=True)
|
|
if not cameraInitOutput:
|
|
node.nbBrackets.value = 0
|
|
return
|
|
if not cameraInitOutput.node.hasAttribute('viewpoints'):
|
|
if cameraInitOutput.node.hasAttribute('input'):
|
|
cameraInitOutput = cameraInitOutput.node.input.getLinkParam(recursive=True)
|
|
viewpoints = cameraInitOutput.node.viewpoints.value
|
|
|
|
# logging.info("[LDRToHDR] Update start: nb viewpoints:" + str(len(viewpoints)))
|
|
inputs = []
|
|
for viewpoint in viewpoints:
|
|
jsonMetadata = viewpoint.metadata.value
|
|
if not jsonMetadata:
|
|
# no metadata, we cannot found the number of brackets
|
|
node.nbBrackets.value = 0
|
|
return
|
|
d = json.loads(jsonMetadata)
|
|
fnumber = findMetadata(d, ["FNumber", "Exif:ApertureValue", "ApertureValue", "Aperture"], "")
|
|
shutterSpeed = findMetadata(d, ["Exif:ShutterSpeedValue", "ShutterSpeedValue", "ShutterSpeed"], "")
|
|
iso = findMetadata(d, ["Exif:ISOSpeedRatings", "ISOSpeedRatings", "ISO"], "")
|
|
if not fnumber and not shutterSpeed:
|
|
# If one image without shutter or fnumber, we cannot found the number of brackets.
|
|
# We assume that there is no multi-bracketing, so nothing to do.
|
|
node.nbBrackets.value = 1
|
|
return
|
|
inputs.append((viewpoint.path.value, (fnumber, shutterSpeed, iso)))
|
|
inputs.sort()
|
|
|
|
exposureGroups = []
|
|
exposures = []
|
|
for path, exp in inputs:
|
|
if exposures and exp != exposures[-1] and exp == exposures[0]:
|
|
exposureGroups.append(exposures)
|
|
exposures = [exp]
|
|
else:
|
|
exposures.append(exp)
|
|
exposureGroups.append(exposures)
|
|
exposures = None
|
|
bracketSizes = set()
|
|
if len(exposureGroups) == 1:
|
|
node.nbBrackets.value = 1
|
|
else:
|
|
for expGroup in exposureGroups:
|
|
bracketSizes.add(len(expGroup))
|
|
if len(bracketSizes) == 1:
|
|
node.nbBrackets.value = bracketSizes.pop()
|
|
# logging.info("[LDRToHDR] nb bracket size:" + str(node.nbBrackets.value))
|
|
else:
|
|
node.nbBrackets.value = 0
|
|
# logging.info("[LDRToHDR] Update end")
|
|
|