mirror of
https://github.com/alicevision/Meshroom.git
synced 2025-07-26 13:07:33 +02:00
357 lines
15 KiB
Python
357 lines
15 KiB
Python
__version__ = "4.1"
|
|
|
|
import json
|
|
|
|
from meshroom.core import desc
|
|
from meshroom.core.utils import COLORSPACES, EXR_STORAGE_DATA_TYPE, VERBOSE_LEVEL
|
|
|
|
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 LdrToHdrMerge(desc.AVCommandLineNode):
|
|
commandLine = 'aliceVision_LdrToHdrMerge {allParams}'
|
|
size = desc.DynamicNodeSize('input')
|
|
parallelization = desc.Parallelization(blockSize=2)
|
|
commandLineRange = '--rangeStart {rangeStart} --rangeSize {rangeBlockSize}'
|
|
|
|
category = 'Panorama HDR'
|
|
documentation = '''
|
|
Merge LDR images into HDR images.
|
|
'''
|
|
|
|
inputs = [
|
|
desc.File(
|
|
name="input",
|
|
label="SfMData",
|
|
description="Input SfMData file.",
|
|
value="",
|
|
),
|
|
desc.File(
|
|
name="response",
|
|
label="Response File",
|
|
description="Response file.",
|
|
value="",
|
|
),
|
|
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),
|
|
invalidate=False,
|
|
group="user", # not used directly on the command line
|
|
errorMessage="The set number of brackets is not a multiple of the number of input images.\n"
|
|
"Errors will occur during the computation.",
|
|
exposed=True,
|
|
),
|
|
desc.IntParam(
|
|
name="nbBrackets",
|
|
label="Automatic Nb Brackets",
|
|
description="Number of exposure brackets used per HDR image.\n"
|
|
"It is detected automatically from input Viewpoints metadata if 'userNbBrackets'\n"
|
|
"is 0, else it is equal to 'userNbBrackets'.",
|
|
value=0,
|
|
range=(0, 15, 1),
|
|
group="bracketsParams",
|
|
),
|
|
desc.BoolParam(
|
|
name="offsetRefBracketIndexEnabled",
|
|
label="Manually Specify Ref Bracket",
|
|
description="Manually specify the reference bracket index to control the exposure of the HDR image.",
|
|
value=False,
|
|
group="user", # not used directly on the command line
|
|
),
|
|
desc.IntParam(
|
|
name="offsetRefBracketIndex",
|
|
label="Offset Ref Bracket Index",
|
|
description="0 to use the center bracket.\n"
|
|
"+N to use a more exposed bracket or -N to use a less exposed bracket.",
|
|
value=1,
|
|
range=(-4, 4, 1),
|
|
enabled=lambda node: (node.nbBrackets.value != 1 and node.offsetRefBracketIndexEnabled.value),
|
|
),
|
|
desc.FloatParam(
|
|
name="meanTargetedLumaForMerging",
|
|
label="Targeted Luminance For Merging",
|
|
description="Expected mean luminance of the HDR images used to compute the final panorama.",
|
|
value=0.4,
|
|
range=(0.0, 1.0, 0.01),
|
|
enabled=lambda node: (node.nbBrackets.value != 1 and not node.offsetRefBracketIndexEnabled.value),
|
|
),
|
|
desc.FloatParam(
|
|
name="minSignificantValue",
|
|
label="Minimum Significant Value",
|
|
description="Minimum channel input value to be considered in advanced pixelwise merging.",
|
|
value=0.05,
|
|
range=(0.0, 1.0, 0.001),
|
|
enabled=lambda node: (node.nbBrackets.value != 1),
|
|
),
|
|
desc.FloatParam(
|
|
name="maxSignificantValue",
|
|
label="Maximum Significant Value",
|
|
description="Maximum channel input value to be considered in advanced pixelwise merging.",
|
|
value=0.995,
|
|
range=(0.0, 1.0, 0.001),
|
|
enabled=lambda node: (node.nbBrackets.value != 1),
|
|
),
|
|
desc.BoolParam(
|
|
name="computeLightMasks",
|
|
label="Compute Light Masks",
|
|
description="Compute masks of low and high lights and missing info.",
|
|
value=False,
|
|
enabled=lambda node: node.nbBrackets.value != 1,
|
|
),
|
|
desc.BoolParam(
|
|
name="byPass",
|
|
label="Bypass",
|
|
description="Bypass HDR creation and use the medium bracket as the source for the next steps.",
|
|
value=False,
|
|
enabled=lambda node: node.nbBrackets.value != 1,
|
|
exposed=True,
|
|
),
|
|
desc.BoolParam(
|
|
name="keepSourceImageName",
|
|
label="Keep Source Image Name",
|
|
description="Keep the filename of the input image selected as central image for the output image filename.",
|
|
value=False,
|
|
),
|
|
desc.ChoiceParam(
|
|
name="fusionWeight",
|
|
label="Fusion Weight",
|
|
description="Weight function used to fuse all LDR images together:\n"
|
|
" - gaussian\n"
|
|
" - triangle\n"
|
|
" - plateau",
|
|
value="gaussian",
|
|
values=["gaussian", "triangle", "plateau"],
|
|
enabled=lambda node: node.byPass.enabled and not node.byPass.value,
|
|
),
|
|
desc.IntParam(
|
|
name="channelQuantizationPower",
|
|
label="Channel Quantization Power",
|
|
description="Quantization level like 8 bits or 10 bits.",
|
|
value=10,
|
|
range=(8, 14, 1),
|
|
advanced=True,
|
|
enabled=lambda node: node.byPass.enabled and not node.byPass.value,
|
|
exposed=True,
|
|
),
|
|
desc.ChoiceParam(
|
|
name="workingColorSpace",
|
|
label="Working Color Space",
|
|
description="Color space in which the data are processed.\n"
|
|
"If 'auto' is selected, the working color space will be 'Linear' if RAW images are detected; otherwise, it will be set to 'sRGB'.",
|
|
values=COLORSPACES,
|
|
value="AUTO",
|
|
enabled=lambda node: node.byPass.enabled and not node.byPass.value,
|
|
exposed=True,
|
|
),
|
|
desc.BoolParam(
|
|
name="enableHighlight",
|
|
label="Enable Highlight",
|
|
description="Enable highlights correction.",
|
|
value=False,
|
|
group="user", # not used directly on the command line
|
|
enabled=lambda node: node.byPass.enabled and not node.byPass.value,
|
|
),
|
|
desc.FloatParam(
|
|
name="highlightCorrectionFactor",
|
|
label="Highlights Correction",
|
|
description="Pixels saturated in all input images have a partial information about their real luminance.\n"
|
|
"We only know that the value should be >= to the standard HDRfusion.\n"
|
|
"This parameter allows to perform a post-processing step to put saturated pixels to a constant\n"
|
|
"value defined by the `highlightsMaxLuminance` parameter.\n"
|
|
"This parameter is float to enable to weight this correction.",
|
|
value=1.0,
|
|
range=(0.0, 1.0, 0.01),
|
|
enabled=lambda node: node.enableHighlight.enabled and node.enableHighlight.value,
|
|
),
|
|
desc.FloatParam(
|
|
name="highlightTargetLux",
|
|
label="Highlight Target Luminance (Lux)",
|
|
description="This is an arbitrary target value (in Lux) used to replace the unknown luminance value of the saturated pixels.\n"
|
|
"\n"
|
|
"Some Outdoor Reference Light Levels:\n"
|
|
" - 120,000 lux: Brightest sunlight\n"
|
|
" - 110,000 lux: Bright sunlight\n"
|
|
" - 20,000 lux: Shade illuminated by entire clear blue sky, midday\n"
|
|
" - 1,000 lux: Typical overcast day, midday\n"
|
|
" - 400 lux: Sunrise or sunset on a clear day\n"
|
|
" - 40 lux: Fully overcast, sunset/sunrise\n"
|
|
"\n"
|
|
"Some Indoor Reference Light Levels:\n"
|
|
" - 20000 lux: Max Usually Used Indoor\n"
|
|
" - 750 lux: Supermarkets\n"
|
|
" - 500 lux: Office Work\n"
|
|
" - 150 lux: Home\n",
|
|
value=120000.0,
|
|
range=(1000.0, 150000.0, 1.0),
|
|
enabled=lambda node: node.enableHighlight.enabled and node.enableHighlight.value and node.highlightCorrectionFactor.value != 0,
|
|
),
|
|
desc.ChoiceParam(
|
|
name="storageDataType",
|
|
label="Storage Data Type",
|
|
description="Storage image data type:\n"
|
|
" - float: Use full floating point (32 bits per channel).\n"
|
|
" - half: Use half float (16 bits per channel).\n"
|
|
" - halfFinite: Use half float, but clamp values to avoid non-finite values.\n"
|
|
" - auto: Use half float if all values can fit, else use full float.",
|
|
values=EXR_STORAGE_DATA_TYPE,
|
|
value="float",
|
|
),
|
|
desc.ChoiceParam(
|
|
name="verboseLevel",
|
|
label="Verbose Level",
|
|
description="Verbosity level (fatal, error, warning, info, debug, trace).",
|
|
values=VERBOSE_LEVEL,
|
|
value="info",
|
|
),
|
|
]
|
|
|
|
outputs = [
|
|
desc.File(
|
|
name="outputFolder",
|
|
label="Folder",
|
|
description="Path to the folder containing the merged HDR images.",
|
|
value=desc.Node.internalFolder,
|
|
group="", # do not export on the command line
|
|
),
|
|
desc.File(
|
|
name="outSfMData",
|
|
label="SfMData",
|
|
description="Path to the output SfMData file.",
|
|
value=desc.Node.internalFolder + "sfmData.sfm",
|
|
),
|
|
]
|
|
|
|
@classmethod
|
|
def update(cls, node):
|
|
from pyalicevision import hdr as avhdr
|
|
|
|
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
|
|
node.userNbBrackets.validValue = True # Reset the status of "userNbBrackets"
|
|
|
|
cameraInitOutput = node.input.getLinkParam(recursive=True)
|
|
if not cameraInitOutput:
|
|
node.nbBrackets.value = 0
|
|
return
|
|
if node.userNbBrackets.value != 0:
|
|
# The number of brackets has been manually forced: check whether it is valid or not
|
|
if cameraInitOutput and cameraInitOutput.node and cameraInitOutput.node.hasAttribute("viewpoints"):
|
|
viewpoints = cameraInitOutput.node.viewpoints.value
|
|
# The number of brackets should be a multiple of the number of input images
|
|
if (len(viewpoints) % node.userNbBrackets.value != 0):
|
|
node.userNbBrackets.validValue = False
|
|
else:
|
|
node.userNbBrackets.validValue = True
|
|
node.nbBrackets.value = node.userNbBrackets.value
|
|
return
|
|
|
|
if not cameraInitOutput.node.hasAttribute("viewpoints"):
|
|
if cameraInitOutput.node.hasAttribute("input"):
|
|
cameraInitOutput = cameraInitOutput.node.input.getLinkParam(recursive=True)
|
|
if cameraInitOutput and cameraInitOutput.node and cameraInitOutput.node.hasAttribute("viewpoints"):
|
|
viewpoints = cameraInitOutput.node.viewpoints.value
|
|
else:
|
|
# No connected CameraInit
|
|
node.nbBrackets.value = 0
|
|
return
|
|
|
|
inputs = avhdr.vectorli()
|
|
for viewpoint in viewpoints:
|
|
jsonMetadata = viewpoint.metadata.value
|
|
if not jsonMetadata:
|
|
# no metadata, we cannot find the number of brackets
|
|
node.nbBrackets.value = 0
|
|
return
|
|
d = json.loads(jsonMetadata)
|
|
|
|
# Find Fnumber
|
|
fnumber = findMetadata(d, ["FNumber"], "")
|
|
if fnumber == "":
|
|
aperture = findMetadata(d, ["Exif:ApertureValue", "ApertureValue", "Aperture"], "")
|
|
if aperture == "":
|
|
fnumber = -1.0
|
|
else:
|
|
fnumber = pow(2.0, aperture / 2.0)
|
|
|
|
# Get shutter speed and ISO
|
|
shutterSpeed = findMetadata(d, ["ExposureTime", "Exif:ShutterSpeedValue", "ShutterSpeedValue", "ShutterSpeed"], -1.0)
|
|
iso = findMetadata(d, ["Exif:PhotographicSensitivity", "PhotographicSensitivity", "Photographic Sensitivity", "ISO"], -1.0)
|
|
|
|
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
|
|
|
|
# Get timestamp
|
|
ymdhms = findMetadata(d, ["Exif:DateTimeOriginal", "DateTimeOriginal", "DateTime", "Date Time", "Create Date", "ctime"], "")
|
|
timestamp = -1
|
|
if ymdhms != "":
|
|
timestamp = LdrToHdrMerge.getTimestamp(ymdhms)
|
|
|
|
exposure = LdrToHdrMerge.getExposure((float(fnumber), float(shutterSpeed), float(iso)))
|
|
|
|
obj = avhdr.LuminanceInfo(viewpoint.viewId.value,viewpoint.path.value, exposure, timestamp)
|
|
inputs.append(obj)
|
|
|
|
obj = avhdr.estimateGroups(inputs)
|
|
|
|
if len(obj) == 0:
|
|
node.nbBrackets.value = 0
|
|
return
|
|
|
|
node.nbBrackets.value = len(obj[0])
|
|
|
|
@staticmethod
|
|
def getExposure(exp, refIso = 100.0, refFnumber = 1.0):
|
|
from pyalicevision import sfmData as avsfmdata
|
|
|
|
fnumber, shutterSpeed, iso = exp
|
|
obj = avsfmdata.ExposureSetting(shutterSpeed, fnumber, iso)
|
|
return obj.getExposure()
|
|
|
|
@staticmethod
|
|
def getTimestamp(ymdhms):
|
|
import re
|
|
timecode = -1
|
|
if re.search("([\d]+):([\d]+):([\d]+) ([\d]+):([\d]+):([\d]+)", ymdhms) != None:
|
|
t = re.findall("([\d]+)(:| |)", ymdhms)
|
|
years = int(t[0][0])
|
|
months = int(t[1][0])
|
|
days = int(t[2][0])
|
|
hours = int(t[3][0])
|
|
minutes = int(t[4][0])
|
|
seconds = int(t[5][0])
|
|
timecode = ((((((((years * 12) + months) * 31) + days) * 24) + hours) * 60) + minutes) * 60 + seconds
|
|
return timecode
|
|
|
|
def processChunk(self, chunk):
|
|
# Trick to avoid sending --nbBrackets to the command line when the bracket detection is automatic.
|
|
# Otherwise, the AliceVision executable has no way of determining whether the bracket detection was automatic
|
|
# or if it was hard-set by the user.
|
|
self.commandLine = "aliceVision_LdrToHdrMerge {allParams}"
|
|
if chunk.node.userNbBrackets.value == chunk.node.nbBrackets.value:
|
|
self.commandLine += "{bracketsParams}"
|
|
super(LdrToHdrMerge, self).processChunk(chunk)
|