Meshroom/bin/meshroom_batch

230 lines
10 KiB
Python
Executable file

#!/usr/bin/env python
import argparse
import os
import sys
import distutils.util
import json
import re
import meshroom
meshroom.setupEnvironment()
import meshroom.core.graph
from meshroom import multiview
from meshroom.core.desc import InitNode
import logging
meshroom.core.initPlugins()
parser = argparse.ArgumentParser(description='Launch the full photogrammetry or Panorama HDR pipeline.')
parser.add_argument('-i', '--input', metavar='NODEINSTANCE:"SFM/FOLDERS/IMAGES;..."', type=str, nargs='*',
default=[],
help='Input folder containing images or folders of images or file (.sfm or .json) '
'with images paths and optionally predefined camera intrinsics.')
parser.add_argument('-I', '--inputRecursive', metavar='NODEINSTANCE:"FOLDERS/IMAGES;..."', type=str, nargs='*',
default=[],
help='Input folders containing all images recursively.')
parser.add_argument('-p', '--pipeline', metavar='FILE.mg/' + '/'.join(meshroom.core.pipelineTemplates), type=str, default='photogrammetry',
help='Template pipeline among those listed or a Meshroom file containing a custom pipeline to run on input images. '
'Requirements: the graph must contain one CameraInit node, '
'and one Publish node if --output is set.')
parser.add_argument('--overrides', metavar='SETTINGS', type=str, default=None,
help='A JSON file containing the graph parameters override.')
parser.add_argument('--paramOverrides', metavar='NODETYPE:param=value NODEINSTANCE.param=value', type=str, default=None, nargs='*',
help='Override specific parameters directly from the command line (by node type or by node names).')
parser.add_argument('-o', '--output', metavar='FOLDER', type=str, required=False,
help='Output folder where results should be copied to. '
'If not set, results will have to be retrieved directly from the cache folder.')
parser.add_argument('--cache', metavar='FOLDER', type=str,
default=None,
help='Custom cache folder to write computation results. '
'If not set, the default cache folder will be used: ' + meshroom.core.defaultCacheFolder)
parser.add_argument('--save', metavar='FILE', type=str, required=False,
help='Save the configured Meshroom graph to a project file. It will setup the cache folder accordingly if not explicitly changed by --cache.')
parser.add_argument('--compute', metavar='<yes/no>', type=lambda x: bool(distutils.util.strtobool(x)), default=True, required=False,
help='You can set it to <no/false/0> to disable the computation.')
parser.add_argument('--toNode', metavar='NODE', type=str, nargs='*',
default=None,
help='Process the node(s) with its dependencies.')
parser.add_argument('--forceStatus', help='Force computation if status is RUNNING or SUBMITTED.',
action='store_true')
parser.add_argument('--forceCompute', help='Compute in all cases even if already computed.',
action='store_true')
parser.add_argument('--submit', help='Submit on renderfarm instead of local computation.',
action='store_true')
parser.add_argument("--submitLabel",
type=str,
default='[Meshroom] {projectName}',
help="Label of a node in the submitter")
parser.add_argument('--submitter',
type=str,
default='SimpleFarm',
help='Execute job with a specific submitter.')
parser.add_argument('-v', '--verbose', help="Verbosity level", default='',
choices=['', 'fatal', 'error', 'warning', 'info', 'debug', 'trace'],)
args = parser.parse_args()
logStringToPython = {
'fatal': logging.FATAL,
'error': logging.ERROR,
'warning': logging.WARNING,
'info': logging.INFO,
'debug': logging.DEBUG,
'trace': logging.DEBUG,
}
if args.verbose:
logging.getLogger().setLevel(logStringToPython[args.verbose])
if not args.input and not args.inputRecursive:
print('Nothing to compute. You need to set --input or --inputRecursive.')
sys.exit(1)
graph = multiview.Graph(name=args.pipeline)
with multiview.GraphModification(graph):
# initialize template pipeline
loweredPipelineTemplates = dict((k.lower(), v) for k, v in meshroom.core.pipelineTemplates.items())
if args.pipeline.lower() in loweredPipelineTemplates:
graph.load(loweredPipelineTemplates[args.pipeline.lower()], setupProjectFile=False, publishOutputs=True if args.output else False)
else:
# custom pipeline
graph.load(args.pipeline, setupProjectFile=False, publishOutputs=True if args.output else False)
def parseInputs(inputs, uniqueInitNode):
"""Utility method for parsing the input and inputRecursive arguments."""
mapInputs = {}
for inp in inputs:
# Stop after the first occurrence to handle multiple input paths on Windows platforms
inputGroup = inp.split(':', 1)
nodeName = None
if len(inputGroup) == 1 and uniqueInitNode:
nodeName = uniqueInitNode.getName()
elif len(inputGroup) == 2:
# If inputGroup[0] is a valid node name, use it as such.
if (inputGroup[0] in graph.toDict().keys()):
nodeName = inputGroup[0]
# Otherwise, the platform might be Windows and inputGroup[0] is part of the input path:
# in that case, we should behave as if len(inputGroup) == 1, use the uniqueInitNode's name
# and re-join the path together.
elif uniqueInitNode:
nodeName = uniqueInitNode.getName()
inputGroup = [":".join(inputGroup)]
else:
print('Syntax error in input argument')
# If a node name has been provided and the platform is Windows, the length of inputGroup might be
# 3: first the node name, then the first path of the input path, then the rest of the input path.
# The input path should also be re-joined here.
elif len(inputGroup) == 3:
nodeName = inputGroup[0]
inputGroup[1] = ":".join(inputGroup[1:])
inputGroup.pop(-1)
else:
print('Syntax error in input argument')
sys.exit(1)
nodeInputs = inputGroup[-1].split(';')
mapInputs[nodeName] = [os.path.abspath(path) for path in nodeInputs]
return mapInputs
# get init nodes
initNodes = graph.findInitNodes()
uniqueInitNode = initNodes[0] if (len(initNodes) == 1) else None
# parse inputs for each init node
mapInput = parseInputs(args.input, uniqueInitNode)
# parse recursive inputs for each init node
mapInputRecursive = parseInputs(args.inputRecursive, uniqueInitNode)
# feed inputs and recursive inputs to init nodes
for initNode in initNodes:
nodeName = initNode.getName()
inp = mapInput.get(nodeName)
inpRec = mapInputRecursive.get(nodeName)
if not inp and not inpRec:
print(f'Nothing to compute for node {nodeName}.')
sys.exit(1)
initNode.nodeDesc.initialize(initNode, inp, inpRec)
if not graph.canComputeLeaves:
raise RuntimeError("Graph cannot be computed. Check for compatibility issues.")
if args.verbose:
graph.setVerbose(args.verbose)
if args.output:
# if there is more than 1 Publish node, they will all be set to the same output;
# depending on what they are connected to, some input files might be overwritten in the output folder
# (e.g. if two Publish nodes are connected to two Texturing nodes)
publishNodes = graph.nodesOfType('Publish')
if len(publishNodes) > 0:
for node in publishNodes:
node.output.value = os.path.abspath(args.output)
else:
raise RuntimeError("meshroom_batch requires a pipeline graph with at least one Publish node, none found.")
if args.overrides:
with open(args.overrides, 'r', encoding='utf-8', errors='ignore') as f:
data = json.load(f)
for nodeName, overrides in data.items():
for attrName, value in overrides.items():
graph.findNode(nodeName).attribute(attrName).value = value
if args.paramOverrides:
print("\n")
reExtract = re.compile('(\w+)([:.])(\w[\w.]*)=(.*)')
for p in args.paramOverrides:
result = reExtract.match(p)
if not result:
raise ValueError('Invalid param override: ' + str(p))
node, t, param, value = result.groups()
if t == ':':
nodesOfType = graph.nodesOfType(node)
if not nodesOfType:
raise ValueError('No node with the type "{}" in the scene.'.format(node))
for n in nodesOfType:
print('Overrides {node}.{param}={value}'.format(node=node, param=param, value=value))
n.attribute(param).value = value
elif t == '.':
print('Overrides {node}.{param}={value}'.format(node=node, param=param, value=value))
graph.findNode(node).attribute(param).value = value
else:
raise ValueError('Invalid param override: ' + str(p))
print("\n")
# setup cache directory
graph.cacheDir = args.cache if args.cache else meshroom.core.defaultCacheFolder
if args.save:
graph.save(args.save, setupProjectFile=not bool(args.cache))
print('File successfully saved: "{}"'.format(args.save))
if not args.output:
print('No output set, results will be available in the cache folder: "{}"'.format(graph.cacheDir))
# find end nodes (None will compute all graph)
toNodes = graph.findNodes(args.toNode) if args.toNode else None
if args.submit:
if not args.save:
raise ValueError('Need to save the project to file to submit on renderfarm.')
# submit on renderfarm
meshroom.core.graph.submit(args.save, args.submitter, toNode=args.toNode, submitLabel=args.submitLabel)
elif args.compute:
# find end nodes (None will compute all graph)
toNodes = graph.findNodes(args.toNode) if args.toNode else None
# start computation
meshroom.core.graph.executeGraph(graph, toNodes=toNodes, forceCompute=args.forceCompute, forceStatus=args.forceStatus)