GUIs for Visualization and Annotation¶
This document corresponds to this example online, in addition to the annotation_and_visualization example folder in a VIAME installation.
There are a number of GUIs in the system. As part of the VIVIA package the vpView GUI, the current default desktop annotator, is useful for displaying detections, their respective probabilities, for running existing automated detectors, and for making new annotations in video. There are additionally simpler GUIs which can be enabled in .pipe files. vpView can either be pointed directly to imagery, pointed to a compressed video file (see [install-dir]/configs/prj-*/for_videos) or given an input prj file that points to the location of input imagery and any optional settings (e.g. groundtruth, computed detections, and/or homographies for the input data). If you just want to use the tool to make annotations you don’t need to specify the later three, and just need to set a DataSetSpecifier or [reccommended] use the File->New Project option to load imagery directly without a prj file. Also, see the below example guide and videos.
There are 2 default run scripts in this folder. “launch_view_interface” launches the main vpview annotation and results display GUI while “run_display_pipe” runs the simpler in-pipeline display GUI. Lastly, “run_chip_pipe” creates image chips and “run_draw_pipe” does the same as display, only writing out images with boxes drawn on top of them to file.
vpView Annotation Process Overview¶
Notable Annotation GUI Shortcut Keys¶
r = Zoom back to the full image
hold ctrl + drag = create a box in annotation mode (create detection/track)
vpView GUI Project File Overview¶
Examples of the optional contents of loadable prj files are listed below for quick reference. For those not familiar with the tool, downloading the above manual is best. Project files are no longer required to be used (imagery can be opened directly via the ‘New Project’ dropdown), however, these are listed here for advanced users who may want to configure with multiple homographies.
Note: The list is not complete, but currently focusing on the most used (and new) parameters
DataSetSpecifier = filename(or glob) Filename with list of images for each frame or glob for sequence of images
TracksFile = filename Filename containing the tracks data.
TrackColorOverride = r g b rgb color, specified from 0 to 1, overrides the default vpView track color for this project only
ColorMultiplier = x Event and track colors are scaled by the indicated value. Can be used in conjunction with the TrackColorOverride
EventsFile = filename Filename containing the events data.
ActivitiesFile = filename Filename containing the activity data.
SceneElementsFile= filename Filename containing the scene elements (in json file).
AnalysisDimensions = W H Dimension (in pixel/image coordinates) of AOI. Ignored when using a mode that leverages image corner points for imagetransformation.
OverviewOrigin = U V Offset of image data such that “0, 0” occurs at the AOI origin. Should always be negative #’s. Like AnalysisDimensions, unused when image corner points are used.
AOIUpperLeftLatLon = lat lon Required for “Translate image” mode of corner point usage (Tools->Configure->Display); also required for displaying an AOI when the source imagery isn’t ortho-stabilized
AOIUpperRightLatLon = lat lon
AOILowerLeftLatLon = lat lon
AOILowerRightLatLon = lat lon If the UpperLeft and LowerRight are specified, an AOI “box” can be displayed. Depending on the nature of the homography controlling image display / transformation, additional corner point may improve the designation of the region.
FrameNumberOffset = N Positive value to offset imagery relative to the track/event data. A value of 3 would mean that the 1st image would correspond to track frame 2 (0-based numbering)
ImageTimeMapFile = filename Specifies file containing map of “filename <space> timestamp (in seconds)” one line per frame. The file can be created via File->Export Image Time Stamps
HomographyIndexFile = filename Specifies file containing frame number/timestamp/homography sequence for all frames specified by the DataSetSpecifier. If the tag is set and the number of homographies match the image source count, the “Image-loc“‘s of the tracks (not the “Img-bbox”) are stored in coordinate frame mapped to by the homographies. This enables track trails during playback (for source imagery that isn’t stored in stabilized form)
HomographyReferenceFrame = frame index Specifies the frame to use as the reference homography frame for stabilizing the video (if homographies are present). If, instead of stabilizing the video, the homographies should be used to stabilize the tracks, set the HomographyReferenceFrame to -1 (defaults to 0).
FiltersFile = filename (note, support not yet in master) Specifies file containing definitions of spatial filters for the project. The coordinate system (lat/lon or image/pixels) must be consistent between states when the filters are saved versus when the project / filter file is loaded.
IgnoreImageCoords = true/false (note, support not yet in master) In the world mode, ignores the image bounding box data and shows a head (point/dot) at the end of the track tail. This parameter only affects the track head and not the tail.
ColorWindow = W (defaults to 255) Window / range of input color values that will be mapped. The value gives the total range, not the distance from the median.
ColorLevel = L (defaults to 127) Input color value that will be mapped to the median output value, and also serves as the median value of the input color range.