QtAliceVision - AliceVision QML plugin

QtAliceVision is a C++ QML plugin providing classes to load and visualize AliceVision data.

Currently available Viewers:

• Features
  • Position, scale and orientation
  • Status: extracted, matched or reconstructed
• Matches
• Statistics
  • Per view statistics with reprojection error, observations histograms
  • Global SfM statistics with number of landmarks/matches, reprojection errors, observations per view
• Images
  • Visualize images with floating point precision
  • Dynamically adjust gain and gamma

License

The project is released under MPLv2, see COPYING.md.

Get the project

Get the source code:

git clone --recursive git://github.com/alicevision/QtAliceVision
cd QtAliceVision

See INSTALL.md to build and install the project.

Usage

Once built and with the plugin installation folder in QML2_IMPORT_PATH:

• Create an MSfMData object to get access to the SfM information:

import AliceVision 1.0

MSfMData {
  id: sfmData
  sfmDataPath: "/path/to/SfM/sfmData.abc”
}

• Create an MTracks to load all matches and get access to tracks information:

import AliceVision 1.0

MTracks {
  id: tracks
  matchingFolder: "/path/to/FeatureMatching/UID/”
}

• Create a MFeatures object to get access to all features data:

MFeatures {
  viewId: 101245654
  describerTypes: ["sift", "akaze"]
  featureFolder: "/path/to/features/folder"
  mTracks: tracks
  mSfmData: sfmData
}

• Create a FeaturesViewer to visualize features position, scale, orientation and optionally information about the feature status regarding tracks and SfmData.

FeaturesViewer {
    colorOffset: 0
    describerType: "sift"
    color: “blue”
    landmarkColor: “red”
    displayMode: FeaturesViewer.Points
    mdescFeatures: mfeatures.allFeatures(describerType)
}

• Create an MSfMDataStats to display global statistics about your SfMData:

MSfMDataStats {
  msfmData: msfmData
  mTracks: mTracks
}

• Create an MViewStats to display statistics about a specific View of your SfMData:

MViewStats {
  msfmData: msfmData
  viewId: 451244710
}

• Create a FloatImageViewer to display an image with floating point precision, allowing to dynamically adjust the gain and gamma:

FloatImageViewer {
  source: "/path/to/image"
  gamma: 1.0f
  offset: 0.0f
  width: 500
  height: 540
  paintedWidth: 500
  paintedHeight: 540
  channelMode: “rgb”
}