360 HDR creation

bin/meshroom_photogrammetry

@@ -10,7 +10,7 @@ meshroom.setupEnvironment()
 import meshroom.core.graph
 from meshroom import multiview
 
-parser = argparse.ArgumentParser(description='Launch the full photogrammetry pipeline.')
+parser = argparse.ArgumentParser(description='Launch the full photogrammetry or HDRI pipeline.')
 parser.add_argument('-i', '--input', metavar='SFM/FOLDERS/IMAGES', type=str, nargs='*',
                     default=[],
                     help='Input folder containing images or folders of images or file (.sfm or .json) '
@@ -19,9 +19,8 @@ parser.add_argument('-I', '--inputRecursive', metavar='FOLDERS/IMAGES', type=str
                     default=[],
                     help='Input folders containing all images recursively.')
 
-parser.add_argument('-p', '--pipeline', metavar='MESHROOM_FILE', type=str, required=False,
-                    help='Meshroom file containing a pre-configured photogrammetry pipeline to run on input images. '
-                         'If not set, the default photogrammetry pipeline will be used. '
+parser.add_argument('-p', '--pipeline', metavar='photogrammetry/hdri/MG_FILE', type=str, default='photogrammetry',
+                    help='"photogrammetry" pipeline, "hdri" pipeline 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.')
 
@@ -60,6 +59,13 @@ parser.add_argument('--forceStatus', help='Force computation if status is RUNNIN
 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('--submitter',
+                    type=str,
+                    default='SimpleFarm',
+                    help='Execute job with a specific submitter.')
+
 args = parser.parse_args()
 
 
@@ -78,7 +84,7 @@ if not args.input and not args.inputRecursive:
 
 views, intrinsics = [], []
 # Build image files list from inputImages arguments
-images = []
+filesByType = multiview.FilesByType()
 
 hasSearchedForImages = False
 
@@ -88,21 +94,32 @@ if args.input:
         from meshroom.nodes.aliceVision.CameraInit import readSfMData
         views, intrinsics = readSfMData(args.input[0])
     else:
-        images += multiview.findImageFiles(args.input, recursive=False)
+        filesByType.extend(multiview.findFilesByTypeInFolder(args.input, recursive=False))
         hasSearchedForImages = True
 
 if args.inputRecursive:
-    images += multiview.findImageFiles(args.inputRecursive, recursive=True)
+    filesByType.extend(multiview.findFilesByTypeInFolder(args.inputRecursive, recursive=True))
     hasSearchedForImages = True
 
-if hasSearchedForImages and not images:
+if hasSearchedForImages and not filesByType.images:
     print("No image found")
     exit(-1)
 
-# initialize photogrammetry pipeline
-if args.pipeline:
-    # custom pipeline
-    graph = meshroom.core.graph.loadGraph(args.pipeline)
+graph = multiview.Graph(name=args.pipeline)
+
+with multiview.GraphModification(graph):
+    # initialize photogrammetry pipeline
+    if args.pipeline.lower() == "photogrammetry":
+        # default photogrammetry pipeline
+        multiview.photogrammetry(inputViewpoints=views, inputIntrinsics=intrinsics, output=args.output, graph=graph)
+    elif args.pipeline.lower() == "hdri":
+        # default hdri pipeline
+        graph = multiview.hdri(inputViewpoints=views, inputIntrinsics=intrinsics, output=args.output, graph=graph)
+    else:
+        # custom pipeline
+        graph.load(args.pipeline)
+        # graph.update()
+
     cameraInit = getOnlyNodeOfType(graph, 'CameraInit')
     # reset graph inputs
     cameraInit.viewpoints.resetValue()
@@ -117,66 +134,67 @@ if args.pipeline:
     if args.output:
         publish = getOnlyNodeOfType(graph, 'Publish')
         publish.output.value = args.output
-else:
-    # default pipeline
-    graph = multiview.photogrammetry(inputViewpoints=views, inputIntrinsics=intrinsics, output=args.output)
-    cameraInit = getOnlyNodeOfType(graph, 'CameraInit')
 
-if images:
-    views, intrinsics = cameraInit.nodeDesc.buildIntrinsics(cameraInit, images)
-    cameraInit.viewpoints.value = views
-    cameraInit.intrinsics.value = intrinsics
-
-if args.overrides:
-    import io
-    import json
-    with io.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")
-    import re
-    reExtract = re.compile('(\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 == ':':
-            nodesByType = graph.nodesByType(node)
-            if not nodesByType:
-                raise ValueError('No node with the type "{}" in the scene.'.format(node))
-            for n in nodesByType:
+    if filesByType.images:
+        views, intrinsics = cameraInit.nodeDesc.buildIntrinsics(cameraInit, filesByType.images)
+        cameraInit.viewpoints.value = views
+        cameraInit.intrinsics.value = intrinsics
+
+    if args.overrides:
+        import io
+        import json
+        with io.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")
+        import re
+        reExtract = re.compile('(\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 == ':':
+                nodesByType = graph.nodesByType(node)
+                if not nodesByType:
+                    raise ValueError('No node with the type "{}" in the scene.'.format(node))
+                for n in nodesByType:
+                    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))
-                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 DepthMap downscaling
-if args.scale > 0:
-    for node in graph.nodesByType('DepthMap'):
-        node.downscale.value = args.scale
-
-# 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))
+                graph.findNode(node).attribute(param).value = value
+            else:
+                raise ValueError('Invalid param override: ' + str(p))
+        print("\n")
+
+    # setup DepthMap downscaling
+    if args.scale > 0:
+        for node in graph.nodesByType('DepthMap'):
+            node.downscale.value = args.scale
+
+    # 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.compute:
+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=toNodes)
+elif args.compute:
     # start computation
     meshroom.core.graph.executeGraph(graph, toNodes=toNodes, forceCompute=args.forceCompute, forceStatus=args.forceStatus)

meshroom/multiview.py

@@ -6,15 +6,53 @@
 from meshroom.core.graph import Graph, GraphModification
 
 # Supported image extensions
-imageExtensions = ('.jpg', '.jpeg', '.tif', '.tiff', '.png', '.exr', '.rw2', '.cr2', '.nef', '.arw', '.dng')
-
+imageExtensions = ('.jpg', '.jpeg', '.tif', '.tiff', '.png', '.exr', '.rw2', '.cr2', '.nef', '.arw')
+videoExtensions = ('.avi', '.mov', '.qt',
+                   '.mkv', '.webm',
+                   '.mp4', '.mpg', '.mpeg', '.m2v', '.m4v',
+                   '.wmv',
+                   '.ogv', '.ogg',
+                   '.mxf')
+panoramaInfoExtensions = ('.xml')
+
+
+def hasExtension(filepath, extensions):
+    """ Return whether filepath is one of the following extensions. """
+    return os.path.splitext(filepath)[1].lower() in extensions
+
+
+class FilesByType:
+    def __init__(self):
+        self.images = []
+        self.videos = []
+        self.panoramaInfo = []
+        self.other = []
+
+    def __bool__(self):
+        return self.images or self.videos or self.panoramaInfo
+
+    def extend(self, other):
+        self.images.extend(other.images)
+        self.videos.extend(other.videos)
+        self.panoramaInfo.extend(other.panoramaInfo)
+        self.other.extend(other.other)
+
+    def addFile(self, file):
+        if hasExtension(file, imageExtensions):
+            self.images.append(file)
+        elif hasExtension(file, videoExtensions):
+            self.videos.append(file)
+        elif hasExtension(file, panoramaInfoExtensions):
+            self.panoramaInfo.append(file)
+        else:
+            self.other.append(file)
 
-def isImageFile(filepath):
-    """ Return whether filepath is a path to an image file supported by Meshroom. """
-    return os.path.splitext(filepath)[1].lower() in imageExtensions
+    def addFiles(self, files):
+        for file in files:
+            self.addFile(file)
 
 
-def findImageFiles(folder, recursive=False):
+def findFilesByTypeInFolder(folder, recursive=False):
     """
     Return all files that are images in 'folder' based on their extensions.
 
@@ -30,23 +68,103 @@ def findImageFiles(folder, recursive=False):
     else:
         inputFolders.append(folder)
 
-    output = []
+    output = FilesByType()
     for currentFolder in inputFolders:
         if os.path.isfile(currentFolder):
-            if isImageFile(currentFolder):
-                output.append(currentFolder)
+            output.addFile(currentFolder)
             continue
         if recursive:
             for root, directories, files in os.walk(currentFolder):
                 for filename in files:
-                    if isImageFile(filename):
-                        output.append(os.path.join(root, filename))
+                    output.addFile(os.path.join(root, filename))
         else:
-             output.extend([os.path.join(currentFolder, filename) for filename in os.listdir(currentFolder) if isImageFile(filename)])
+            output.addFiles([os.path.join(currentFolder, filename) for filename in os.listdir(currentFolder)])
     return output
 
 
-def photogrammetry(inputImages=list(), inputViewpoints=list(), inputIntrinsics=list(), output=''):
+def hdri(inputImages=list(), inputViewpoints=list(), inputIntrinsics=list(), output='', graph=None):
+    """
+    Create a new Graph with a complete HDRI pipeline.
+
+    Args:
+        inputImages (list of str, optional): list of image file paths
+        inputViewpoints (list of Viewpoint, optional): list of Viewpoints
+        output (str, optional): the path to export reconstructed model to
+
+    Returns:
+        Graph: the created graph
+    """
+    if not graph:
+        graph = Graph('HDRI')
+    with GraphModification(graph):
+        nodes = hdriPipeline(graph)
+        cameraInit = nodes[0]
+        cameraInit.viewpoints.extend([{'path': image} for image in inputImages])
+        cameraInit.viewpoints.extend(inputViewpoints)
+        cameraInit.intrinsics.extend(inputIntrinsics)
+
+        if output:
+            stitching = nodes[-1]
+            graph.addNewNode('Publish', output=output, inputFiles=[stitching.output])
+
+    return graph
+
+
+def hdriPipeline(graph):
+    """
+    Instantiate an HDRI pipeline inside 'graph'.
+    Args:
+        graph (Graph/UIGraph): the graph in which nodes should be instantiated
+
+    Returns:
+        list of Node: the created nodes
+    """
+    cameraInit = graph.addNewNode('CameraInit')
+
+    ldr2hdr = graph.addNewNode('LDRToHDR',
+                               input=cameraInit.output)
+
+    featureExtraction = graph.addNewNode('FeatureExtraction',
+                                         input=ldr2hdr.outSfMDataFilename)
+    featureExtraction.describerPreset.value = 'ultra'
+    imageMatching = graph.addNewNode('ImageMatching',
+                                     input=featureExtraction.input,
+                                     featuresFolders=[featureExtraction.output])
+    featureMatching = graph.addNewNode('FeatureMatching',
+                                       input=imageMatching.input,
+                                       featuresFolders=imageMatching.featuresFolders,
+                                       imagePairsList=imageMatching.output)
+
+    panoramaExternalInfo = graph.addNewNode('PanoramaExternalInfo',
+                                     input=ldr2hdr.outSfMDataFilename,
+                                     matchesFolders=[featureMatching.output]  # Workaround for tractor submission with a fake dependency
+                                     )
+
+    panoramaEstimation = graph.addNewNode('PanoramaEstimation',
+                                           input=panoramaExternalInfo.outSfMDataFilename,
+                                           featuresFolders=featureMatching.featuresFolders,
+                                           matchesFolders=[featureMatching.output])
+
+    panoramaWarping = graph.addNewNode('PanoramaWarping',
+                                        input=panoramaEstimation.outSfMDataFilename)
+
+    panoramaCompositing = graph.addNewNode('PanoramaCompositing',
+                                        input=panoramaWarping.output)
+
+    return [
+        cameraInit,
+        featureExtraction,
+        imageMatching,
+        featureMatching,
+        panoramaExternalInfo,
+        panoramaEstimation,
+        panoramaWarping,
+        panoramaCompositing,
+    ]
+
+
+
+def photogrammetry(inputImages=list(), inputViewpoints=list(), inputIntrinsics=list(), output='', graph=None):
     """
     Create a new Graph with a complete photogrammetry pipeline.
 
@@ -58,7 +176,8 @@ def photogrammetry(inputImages=list(), inputViewpoints=list(), inputIntrinsics=l
     Returns:
         Graph: the created graph
     """
-    graph = Graph('Photogrammetry')
+    if not graph:
+        graph = Graph('Photogrammetry')
     with GraphModification(graph):
         sfmNodes, mvsNodes = photogrammetryPipeline(graph)
         cameraInit = sfmNodes[0]