Merge remote-tracking branch 'origin/develop' into dev_depthMapOptim

meshroom/core/desc.py

@@ -461,6 +461,7 @@ class Node(object):
     size = StaticNodeSize(1)
     parallelization = None
     documentation = ''
+    category = 'Other'
 
     def __init__(self):
         pass

meshroom/core/node.py

@@ -529,6 +529,8 @@ class BaseNode(BaseObject):
         return "{}{}".format(t, idx if int(idx) > 1 else "")
 
     def getDocumentation(self):
+        if not self.nodeDesc:
+            return ""
         return self.nodeDesc.documentation
 
     @property

meshroom/nodes/aliceVision/CameraCalibration.py

@@ -6,6 +6,8 @@ from meshroom.core import desc
 class CameraCalibration(desc.CommandLineNode):
     commandLine = 'aliceVision_cameraCalibration {allParams}'
 
+    category = 'Utils'
+
     inputs = [
         desc.File(
             name='input',

meshroom/nodes/aliceVision/CameraInit.py

@@ -116,6 +116,7 @@ class CameraInit(desc.CommandLineNode):
 
     size = desc.DynamicNodeSize('viewpoints')
 
+    category = 'Sparse Reconstruction'
     documentation = '''
 This node describes your dataset. It lists the Viewpoints candidates, the guess about the type of optic, the initial focal length
 and which images are sharing the same internal camera parameters, as well as potential cameras rigs.

meshroom/nodes/aliceVision/CameraLocalization.py

@@ -7,6 +7,8 @@ from meshroom.core import desc
 class CameraLocalization(desc.CommandLineNode):
     commandLine = 'aliceVision_cameraLocalization {allParams}'
 
+    category = 'Utils'
+
     inputs = [
         desc.File(
             name='sfmdata',

meshroom/nodes/aliceVision/CameraRigCalibration.py

@@ -7,6 +7,8 @@ from meshroom.core import desc
 class CameraRigCalibration(desc.CommandLineNode):
     commandLine = 'aliceVision_rigCalibration {allParams}'
 
+    category = 'Utils'
+
     inputs = [
         desc.File(
             name='sfmdata',

meshroom/nodes/aliceVision/CameraRigLocalization.py

@@ -7,6 +7,8 @@ from meshroom.core import desc
 class CameraRigLocalization(desc.CommandLineNode):
     commandLine = 'aliceVision_rigLocalization {allParams}'
 
+    category = 'Utils'
+
     inputs = [
         desc.File(
             name='sfmdata',

meshroom/nodes/aliceVision/ConvertMesh.py

@@ -5,6 +5,8 @@ from meshroom.core import desc
 
 class ConvertMesh(desc.CommandLineNode):
     commandLine = 'aliceVision_convertMesh {allParams}'
+
+    category = 'Utils'
     documentation = '''This node allows to convert a mesh to another format.'''
 
     inputs = [

meshroom/nodes/aliceVision/ConvertSfMFormat.py

@@ -7,6 +7,7 @@ class ConvertSfMFormat(desc.CommandLineNode):
     commandLine = 'aliceVision_convertSfMFormat {allParams}'
     size = desc.DynamicNodeSize('input')
 
+    category = 'Utils'
     documentation = '''
 Convert an SfM scene from one file format to another.
 It can also be used to remove specific parts of from an SfM scene (like filter all 3D landmarks or filter 2D observations).

meshroom/nodes/aliceVision/DepthMap.py

@@ -10,6 +10,7 @@ class DepthMap(desc.CommandLineNode):
     parallelization = desc.Parallelization(blockSize=3)
     commandLineRange = '--rangeStart {rangeStart} --rangeSize {rangeBlockSize}'
 
+    category = 'Dense Reconstruction'
     documentation = '''
 For each camera that have been estimated by the Structure-From-Motion, it estimates the depth value per pixel.
 

meshroom/nodes/aliceVision/DepthMapFilter.py

@@ -10,6 +10,7 @@ class DepthMapFilter(desc.CommandLineNode):
     parallelization = desc.Parallelization(blockSize=10)
     commandLineRange = '--rangeStart {rangeStart} --rangeSize {rangeBlockSize}'
 
+    category = 'Dense Reconstruction'
     documentation = '''
 Filter depth map values that are not coherent in multiple depth maps.
 This allows to filter unstable points before starting the fusion of all depth maps in the Meshing node.

meshroom/nodes/aliceVision/ExportAnimatedCamera.py

@@ -6,6 +6,7 @@ from meshroom.core import desc
 class ExportAnimatedCamera(desc.CommandLineNode):
     commandLine = 'aliceVision_exportAnimatedCamera {allParams}'
 
+    category = 'Export'
     documentation = '''
 Convert cameras from an SfM scene into an animated cameras in Alembic file format.
 Based on the input image filenames, it will recognize the input video sequence to create an animated camera.

meshroom/nodes/aliceVision/ExportColoredPointCloud.py

@@ -6,6 +6,8 @@ from meshroom.core import desc
 class ExportColoredPointCloud(desc.CommandLineNode):
     commandLine = 'aliceVision_exportColoredPointCloud {allParams}'
 
+    category = 'Export'
+
     inputs = [
         desc.File(
             name='input',

meshroom/nodes/aliceVision/ExportMatches.py

@@ -7,6 +7,8 @@ class ExportMatches(desc.CommandLineNode):
     commandLine = 'aliceVision_exportMatches {allParams}'
     size = desc.DynamicNodeSize('input')
 
+    category = 'Export'
+
     inputs = [
         desc.File(
             name='input',

meshroom/nodes/aliceVision/ExportMaya.py

@@ -6,6 +6,7 @@ from meshroom.core import desc
 class ExportMaya(desc.CommandLineNode):
     commandLine = 'aliceVision_exportMeshroomMaya {allParams}'
 
+    category = 'Export'
     documentation = '''
 Export a scene for Autodesk Maya, with an Alembic file describing the SfM: cameras and 3D points.
 It will export half-size undistorted images to use as image planes for cameras and also export thumbnails.

meshroom/nodes/aliceVision/FeatureExtraction.py

@@ -9,6 +9,7 @@ class FeatureExtraction(desc.CommandLineNode):
     parallelization = desc.Parallelization(blockSize=40)
     commandLineRange = '--rangeStart {rangeStart} --rangeSize {rangeBlockSize}'
 
+    category = 'Sparse Reconstruction'
     documentation = '''
 This node extracts distinctive groups of pixels that are, to some extent, invariant to changing camera viewpoints during image acquisition.
 Hence, a feature in the scene should have similar feature descriptions in all images.

meshroom/nodes/aliceVision/FeatureMatching.py

@@ -9,6 +9,7 @@ class FeatureMatching(desc.CommandLineNode):
     parallelization = desc.Parallelization(blockSize=20)
     commandLineRange = '--rangeStart {rangeStart} --rangeSize {rangeBlockSize}'
 
+    category = 'Sparse Reconstruction'
     documentation = '''
 This node performs the matching of all features between the candidate image pairs.
 

meshroom/nodes/aliceVision/FeatureRepeatability.py

@@ -9,7 +9,9 @@ class FeatureRepeatability(desc.CommandLineNode):
     # parallelization = desc.Parallelization(blockSize=40)
     # commandLineRange = '--rangeStart {rangeStart} --rangeSize {rangeBlockSize}'
 
+    category = 'Utils'
     documentation = '''
+Compare feature/descriptor matching repeatability on some dataset with known homography motions.
 '''
 
     inputs = [

meshroom/nodes/aliceVision/GlobalSfM.py

@@ -10,6 +10,7 @@ class GlobalSfM(desc.CommandLineNode):
     commandLine = 'aliceVision_globalSfM {allParams}'
     size = desc.DynamicNodeSize('input')
 
+    category = 'Sparse Reconstruction'
     documentation = '''
 Performs the Structure-From-Motion with a global approach.
 It is known to be faster but less robust to challenging datasets than the Incremental approach.

meshroom/nodes/aliceVision/ImageMatching.py

@@ -8,6 +8,7 @@ class ImageMatching(desc.CommandLineNode):
     commandLine = 'aliceVision_imageMatching {allParams}'
     size = desc.DynamicNodeSize('input')
 
+    category = 'Sparse Reconstruction'
     documentation = '''
 The goal of this node is to select the image pairs to match. The ambition is to find the images that are looking to the same areas of the scene.
 Thanks to this node, the FeatureMatching node will only compute the matches between the selected image pairs.

meshroom/nodes/aliceVision/ImageMatchingMultiSfM.py

@@ -9,6 +9,7 @@ class ImageMatchingMultiSfM(desc.CommandLineNode):
     # use both SfM inputs to define Node's size
     size = desc.MultiDynamicNodeSize(['input', 'inputB'])
 
+    category = 'Sparse Reconstruction'
     documentation = '''
 The goal of this node is to select the image pairs to match in the context of an SfM augmentation.
 The ambition is to find the images that are looking to the same areas of the scene.

meshroom/nodes/aliceVision/ImageProcessing.py

@@ -34,6 +34,7 @@ class ImageProcessing(desc.CommandLineNode):
     # parallelization = desc.Parallelization(blockSize=40)
     # commandLineRange = '--rangeStart {rangeStart} --rangeSize {rangeBlockSize}'
 
+    category = 'Utils'
     documentation = '''
 Convert or apply filtering to the input images.
 '''

meshroom/nodes/aliceVision/KeyframeSelection.py

@@ -7,6 +7,7 @@ from meshroom.core import desc
 class KeyframeSelection(desc.CommandLineNode):
     commandLine = 'aliceVision_utils_keyframeSelection {allParams}'
 
+    category = 'Utils'
     documentation = '''
 Allows to extract keyframes from a video and insert metadata.
 It can extract frames from a synchronized multi-cameras rig.

meshroom/nodes/aliceVision/LdrToHdrCalibration.py

@@ -26,10 +26,10 @@ def findMetadata(d, keys, defaultValue):
 class LdrToHdrCalibration(desc.CommandLineNode):
     commandLine = 'aliceVision_LdrToHdrCalibration {allParams}'
     size = desc.DynamicNodeSize('input')
-
     cpu = desc.Level.INTENSIVE
     ram = desc.Level.NORMAL
 
+    category = 'Panorama HDR'
     documentation = '''
     Calibrate LDR to HDR response curve from samples
 '''

meshroom/nodes/aliceVision/LdrToHdrMerge.py

@@ -28,6 +28,7 @@ class LdrToHdrMerge(desc.CommandLineNode):
     parallelization = desc.Parallelization(blockSize=2)
     commandLineRange = '--rangeStart {rangeStart} --rangeSize {rangeBlockSize}'
 
+    category = 'Panorama HDR'
     documentation = '''
     Calibrate LDR to HDR response curve from samples
 '''

meshroom/nodes/aliceVision/LdrToHdrSampling.py

@@ -45,6 +45,7 @@ class LdrToHdrSampling(desc.CommandLineNode):
     parallelization = desc.Parallelization(blockSize=2)
     commandLineRange = '--rangeStart {rangeStart} --rangeSize {rangeBlockSize}'
 
+    category = 'Panorama HDR'
     documentation = '''
     Sample pixels from Low range images for HDR creation
 '''

meshroom/nodes/aliceVision/LightingEstimation.py

@@ -6,6 +6,8 @@ from meshroom.core import desc
 class LightingEstimation(desc.CommandLineNode):
     commandLine = 'aliceVision_utils_lightingEstimation {allParams}'
 
+    category = 'Utils'
+
     inputs = [
         desc.File(
             name='input',

meshroom/nodes/aliceVision/MergeMeshes.py

@@ -5,6 +5,8 @@ from meshroom.core import desc
 
 class MergeMeshes(desc.CommandLineNode):
     commandLine = 'aliceVision_utils_mergeMeshes {allParams}'
+
+    category = 'Utils'
     documentation = '''
 This node allows to merge two meshes in one.
 

meshroom/nodes/aliceVision/MeshDecimate.py

@@ -5,10 +5,10 @@ from meshroom.core import desc
 
 class MeshDecimate(desc.CommandLineNode):
     commandLine = 'aliceVision_meshDecimate {allParams}'
-
     cpu = desc.Level.NORMAL
     ram = desc.Level.NORMAL
 
+    category = 'Mesh Post-Processing'
     documentation = '''
 This node allows to reduce the density of the Mesh.
 '''

meshroom/nodes/aliceVision/MeshDenoising.py

@@ -6,6 +6,7 @@ from meshroom.core import desc
 class MeshDenoising(desc.CommandLineNode):
     commandLine = 'aliceVision_meshDenoising {allParams}'
 
+    category = 'Mesh Post-Processing'
     documentation = '''
 This experimental node allows to reduce noise from a Mesh.
 for now, the parameters are difficult to control and vary a lot from one dataset to another.

meshroom/nodes/aliceVision/MeshFiltering.py

@@ -5,6 +5,8 @@ from meshroom.core import desc
 
 class MeshFiltering(desc.CommandLineNode):
     commandLine = 'aliceVision_meshFiltering {allParams}'
+
+    category = 'Dense Reconstruction'
     documentation = '''
 This node applies a Laplacian filtering to remove local defects from the raw Meshing cut.
 '''

meshroom/nodes/aliceVision/MeshResampling.py

@@ -5,10 +5,10 @@ from meshroom.core import desc
 
 class MeshResampling(desc.CommandLineNode):
     commandLine = 'aliceVision_meshResampling {allParams}'
-
     cpu = desc.Level.NORMAL
     ram = desc.Level.NORMAL
 
+    category = 'Mesh Post-Processing'
     documentation = '''
 This node allows to recompute the mesh surface with a new topology and uniform density.
 '''

meshroom/nodes/aliceVision/Meshing.py

@@ -9,6 +9,7 @@ class Meshing(desc.CommandLineNode):
     cpu = desc.Level.INTENSIVE
     ram = desc.Level.INTENSIVE
 
+    category = 'Dense Reconstruction'
     documentation = '''
 This node creates a dense geometric surface representation of the scene.
 

meshroom/nodes/aliceVision/PanoramaCompositing.py

@@ -9,13 +9,12 @@ from meshroom.core import desc
 class PanoramaCompositing(desc.CommandLineNode):
     commandLine = 'aliceVision_panoramaCompositing {allParams}'
     size = desc.DynamicNodeSize('input')
-
     parallelization = desc.Parallelization(blockSize=5)
     commandLineRange = '--rangeIteration {rangeIteration} --rangeSize {rangeBlockSize}'
-
     cpu = desc.Level.INTENSIVE
     ram = desc.Level.INTENSIVE
 
+    category = 'Panorama HDR'
     documentation = '''
 Once the images have been transformed geometrically (in PanoramaWarping),
 they have to be fused together in a single panorama image which looks like a single photography.

meshroom/nodes/aliceVision/PanoramaEstimation.py

@@ -10,6 +10,7 @@ class PanoramaEstimation(desc.CommandLineNode):
     commandLine = 'aliceVision_panoramaEstimation {allParams}'
     size = desc.DynamicNodeSize('input')
 
+    category = 'Panorama HDR'
     documentation = '''
 Estimate relative camera rotations between input images.
 '''

meshroom/nodes/aliceVision/PanoramaInit.py

@@ -7,6 +7,7 @@ class PanoramaInit(desc.CommandLineNode):
     commandLine = 'aliceVision_panoramaInit {allParams}'
     size = desc.DynamicNodeSize('input')
 
+    category = 'Panorama HDR'
     documentation = '''
 This node allows to setup the Panorama:
 

meshroom/nodes/aliceVision/PanoramaMerging.py

@@ -9,11 +9,10 @@ from meshroom.core import desc
 class PanoramaMerging(desc.CommandLineNode):
     commandLine = 'aliceVision_panoramaMerging {allParams}'
     size = desc.DynamicNodeSize('input')
-
     cpu = desc.Level.NORMAL
     ram = desc.Level.INTENSIVE
 
-
+    category = 'Panorama HDR'
     documentation = '''
 Merge all inputs coming from PanoramaComposiring
 '''

meshroom/nodes/aliceVision/PanoramaPrepareImages.py

@@ -9,6 +9,7 @@ class PanoramaPrepareImages(desc.CommandLineNode):
     commandLine = 'aliceVision_panoramaPrepareImages {allParams}'
     size = desc.DynamicNodeSize('input')
 
+    category = 'Panorama HDR'
     documentation = '''
 Prepare images for Panorama pipeline: ensures that images orientations are coherent.
 '''

meshroom/nodes/aliceVision/PanoramaSeams.py

@@ -9,10 +9,10 @@ from meshroom.core import desc
 class PanoramaSeams(desc.CommandLineNode):
     commandLine = 'aliceVision_panoramaSeams {allParams}'
     size = desc.DynamicNodeSize('input')
-
     cpu = desc.Level.INTENSIVE
     ram = desc.Level.INTENSIVE
 
+    category = 'Panorama HDR'
     documentation = '''
 Estimate the seams lines between the inputs to provide an optimal compositing in a further node
 '''

meshroom/nodes/aliceVision/PanoramaWarping.py

@@ -9,10 +9,10 @@ from meshroom.core import desc
 class PanoramaWarping(desc.CommandLineNode):
     commandLine = 'aliceVision_panoramaWarping {allParams}'
     size = desc.DynamicNodeSize('input')
-
     parallelization = desc.Parallelization(blockSize=5)
     commandLineRange = '--rangeStart {rangeStart} --rangeSize {rangeBlockSize}'
 
+    category = 'Panorama HDR'
     documentation = '''
 Compute the image warping for each input image in the panorama coordinate system.
 '''

meshroom/nodes/aliceVision/PrepareDenseScene.py

@@ -9,6 +9,7 @@ class PrepareDenseScene(desc.CommandLineNode):
     parallelization = desc.Parallelization(blockSize=40)
     commandLineRange = '--rangeStart {rangeStart} --rangeSize {rangeBlockSize}'
 
+    category = 'Dense Reconstruction'
     documentation = '''
 This node export undistorted images so the depth map and texturing can be computed on Pinhole images without distortion.
 '''

meshroom/nodes/aliceVision/Publish.py

@@ -11,6 +11,7 @@ import os
 class Publish(desc.Node):
     size = desc.DynamicNodeSize('inputFiles')
 
+    category = 'Export'
     documentation = '''
 This node allows to copy files into a specific folder.
 '''

meshroom/nodes/aliceVision/SfMAlignment.py

@@ -9,6 +9,7 @@ class SfMAlignment(desc.CommandLineNode):
     commandLine = 'aliceVision_utils_sfmAlignment {allParams}'
     size = desc.DynamicNodeSize('input')
 
+    category = 'Utils'
     documentation = '''
 This node allows to change the coordinate system of one SfM scene to align it on another one.
 

meshroom/nodes/aliceVision/SfMTransfer.py

@@ -9,6 +9,7 @@ class SfMTransfer(desc.CommandLineNode):
     commandLine = 'aliceVision_utils_sfmTransfer {allParams}'
     size = desc.DynamicNodeSize('input')
 
+    category = 'Utils'
     documentation = '''
 This node allows to transfer poses and/or intrinsics form one SfM scene onto another one.
 '''

meshroom/nodes/aliceVision/SfMTransform.py

@@ -9,6 +9,7 @@ class SfMTransform(desc.CommandLineNode):
     commandLine = 'aliceVision_utils_sfmTransform {allParams}'
     size = desc.DynamicNodeSize('input')
 
+    category = 'Utils'
     documentation = '''
 This node allows to change the coordinate system of one SfM scene.
 
@@ -38,9 +39,10 @@ The transformation can be based on:
                         " * auto_from_cameras: Use cameras\n"
                         " * auto_from_landmarks: Use landmarks\n"
                         " * from_single_camera: Use a specific camera as the origin of the coordinate system\n"
+                        " * from_center_camera: Use the center camera as the origin of the coordinate system\n"
                         " * from_markers: Align specific markers to custom coordinates",
             value='auto_from_landmarks',
-            values=['transformation', 'manual', 'auto_from_cameras', 'auto_from_landmarks', 'from_single_camera', 'from_markers'],
+            values=['transformation', 'manual', 'auto_from_cameras', 'auto_from_landmarks', 'from_single_camera', 'from_center_camera', 'from_markers'],
             exclusive=True,
             uid=[0],
         ),

meshroom/nodes/aliceVision/SketchfabUpload.py

@@ -52,6 +52,7 @@ def progressUpdate(size=None, progress=None, logManager=None):
 class SketchfabUpload(desc.Node):
     size = desc.DynamicNodeSize('inputFiles')
 
+    category = 'Export'
     documentation = '''
 Upload a textured mesh on Sketchfab.
 '''

meshroom/nodes/aliceVision/StructureFromMotion.py

@@ -7,6 +7,7 @@ class StructureFromMotion(desc.CommandLineNode):
     commandLine = 'aliceVision_incrementalSfM {allParams}'
     size = desc.DynamicNodeSize('input')
 
+    category = 'Sparse Reconstruction'
     documentation = '''
 This node will analyze feature matches to understand the geometric relationship behind all the 2D observations,
 and infer the rigid scene structure (3D points) with the pose (position and orientation) and internal calibration of all cameras.

meshroom/nodes/aliceVision/Texturing.py

@@ -8,6 +8,7 @@ class Texturing(desc.CommandLineNode):
     cpu = desc.Level.INTENSIVE
     ram = desc.Level.INTENSIVE
 
+    category = 'Dense Reconstruction'
     documentation = '''
 This node computes the texturing on the mesh.
 

meshroom/ui/app.py

@@ -117,7 +117,7 @@ class MeshroomApp(QApplication):
         components.registerTypes()
 
         # expose available node types that can be instantiated
-        self.engine.rootContext().setContextProperty("_nodeTypes", sorted(nodesDesc.keys()))
+        self.engine.rootContext().setContextProperty("_nodeTypes", {n: {"category": nodesDesc[n].category} for n in sorted(nodesDesc.keys())})
 
         # instantiate Reconstruction object
         self._undoStack = commands.UndoStack(self)

meshroom/ui/qml/Controls/SearchBar.qml

@@ -34,6 +34,11 @@ FocusScope {
             focus: true
             Layout.fillWidth: true
             selectByMouse: true
+
+            // ensure the field has focus when the text is modified
+            onTextChanged: {
+                forceActiveFocus()
+            }
         }
     }
 }

meshroom/ui/qml/GraphEditor/GraphEditor.qml

@@ -134,6 +134,22 @@ Item {
                 // add node via the proper command in uigraph
                 var node = uigraph.addNewNode(nodeType, spawnPosition)
                 selectNode(node)
+                close()
+            }
+
+            function parseCategories()
+            {
+                // organize nodes based on their category
+                // {"category1": ["node1", "node2"], "category2": ["node3", "node4"]}
+                let categories = {};
+                for (const [name, data] of Object.entries(root.nodeTypesModel)) {
+                    let category = data["category"];
+                    if (categories[category] === undefined) {
+                        categories[category] = [];
+                    }
+                    categories[category].push(name)
+                }
+                return categories
             }
 
             onVisibleChanged: {
@@ -150,11 +166,10 @@ Item {
                 width: parent.width
             }
 
-            Repeater {
+            // menuItemDelegate is wrapped in a component so it can be used in both the search bar and sub-menus
-                model: root.nodeTypesModel
+            Component {
-
+                id: menuItemDelegateComponent
-                // Create Menu items from available node types model
+                MenuItem {
-                delegate: MenuItem {
                     id: menuItemDelegate
                     font.pointSize: 8
                     padding: 3
@@ -169,17 +184,20 @@ Item {
                     Keys.forwardTo: [searchBar.textField]
                     Keys.onPressed: {
                         event.accepted = false;
-                        switch(event.key)
+                        switch(event.key) {
-                        {
+                            case Qt.Key_Return:
-                        case Qt.Key_Return:
+                            case Qt.Key_Enter:
-                        case Qt.Key_Enter:
+                                // create node on validation (Enter/Return keys)
-                            // create node on validation (Enter/Return keys)
+                                newNodeMenu.createNode(modelData);
-                            newNodeMenu.createNode(modelData);
+                                event.accepted = true;
-                            newNodeMenu.close();
+                                break;
-                            event.accepted = true;
+                            case Qt.Key_Up:
-                            break;
+                            case Qt.Key_Down:
-                        default:
+                            case Qt.Key_Left:
-                            searchBar.textField.forceActiveFocus();
+                            case Qt.Key_Right:
+                                break; // ignore if arrow key was pressed to let the menu be controlled
+                            default:
+                                searchBar.forceActiveFocus();
                         }
                     }
                     // Create node on mouse click
@@ -199,6 +217,33 @@ Item {
                     ]
                 }
             }
+
+            Repeater {
+                id: nodeMenuRepeater
+                model: searchBar.text != "" ? Object.keys(root.nodeTypesModel) : undefined
+
+                // create Menu items from available items
+                delegate: menuItemDelegateComponent
+            }
+
+            // Dynamically add the menu categories
+            Instantiator {
+                model: !(searchBar.text != "") ? Object.keys(newNodeMenu.parseCategories()).sort() : undefined
+                onObjectAdded: newNodeMenu.insertMenu(index+1, object ) // add sub-menu under the search bar
+                onObjectRemoved: newNodeMenu.removeMenu(object)
+
+                delegate: Menu {
+                    title: modelData
+                    id: newNodeSubMenu
+
+                    Instantiator {
+                        model: newNodeMenu.visible && newNodeSubMenu.activeFocus ? newNodeMenu.parseCategories()[modelData] : undefined
+                        onObjectAdded: newNodeSubMenu.insertItem(index, object)
+                        onObjectRemoved: newNodeSubMenu.removeItem(object)
+                        delegate: menuItemDelegateComponent
+                    }
+                }
+            }
         }
 
         // Informative contextual menu when graph is read-only

meshroom/ui/qml/Viewer3D/Inspector3D.qml

@@ -66,7 +66,7 @@ FloatingPane {
                 MaterialLabel { text: MaterialIcons.grain; padding: 2 }
                 RowLayout {
                     Slider {
-                        Layout.fillWidth: true; from: 0; to: 5; stepSize: 0.1
+                        Layout.fillWidth: true; from: 0; to: 5; stepSize: 0.001
                         value: Viewer3DSettings.pointSize
                         onValueChanged: Viewer3DSettings.pointSize = value
                         ToolTip.text: "Point Size: " + value.toFixed(2)

meshroom/ui/qml/main.qml

@@ -548,6 +548,10 @@ ApplicationWindow {
         }
         Menu {
             title: "Help"
+            Action {
+                text: "Online Documentation"
+                onTriggered: Qt.openUrlExternally("https://meshroom-manual.readthedocs.io")
+            }
             Action {
                 text: "About Meshroom"
                 onTriggered: aboutDialog.open()