RodTracker

v0.6.0

Added

  • old rod positions are displayed during editing as a visual cue

  • mode for automatic selection of the rod closest to the cursor

  • documentation with Sphinx

  • integration of ParticleDetection functionality

    • detection of rods from images

    • recalculation of 3D rod positions from position updates in 2D

    • tracking of rods and following recalculation of 3D positions

    • evaluation plots for 3D position reconstruction

  • shortcut to fit the displayed image to its available space

  • added a ‘busy’ indicator for tabs running long background tasks

  • shortcut to delete a rod when having it selected

  • display of the documentation from the Help dropdown menu

  • loaded/changed position data is automatically saved every 60 seconds

Changed

  • rods are now displayed partially transparent while being selected

  • display of a folder selection dialog, if no folder is selected during saving

  • settings-/data-directory is now determined with platformdirs

Fixed

  • test suite problems have been fixed

  • initial display of rods on Windows

  • rods not being completely deletable (#69)

Removed

  • function to display the README in the application

  • True number of rods setting is no longer available

v0.5.8

Changed

  • migration from setuptools to poetry as the build system

Fixed

  • bundling of the RodTracker to a standalone program

v0.5.7

Added

  • splash screen during the startup of the RodTracker

Changed

  • each module can now access its own logger, leading to more informative log messages

Fixed

  • cropping of displayed rod numbers for font sizes >11

Removed

  • splash screen during unpacking stage of standalone programs bundled as one file

v0.5.6

skipped

v0.5.5

skipped

v0.5.4

Changed

  • 3D rod elements are now reused instead of regenerated leading to better performance

Fixed

  • visual indicators of the experiment box are no longer extending further than the experiment’s dimensions

v0.5.3

Changed

  • The rod data displayed as a tree is now updated in place instead of being regenerated. This especially improves performance and responsiveness of the RodTracker when working with large datasets.

v0.5.2

Changed

  • rod position data is handled by a dedicated object

  • images datasets are handled by one dedicated object per camera view

  • rod data display as a tree is done by a custom QTreeWidget

  • zooming and panning in the 3D environment has improved speeds for the interaction

v0.5.1

Added

  • Three different display modes for rods in 3D

Fixed

  • redundant settings updates are removed

v0.5.0

Added

  • 3D view of the rod data in relation to the experimental container

  • warnings of the Qt framework are now also logged to the RodTracker’s log file.

Changed

  • The right portion of the data display is now designed as tabs

  • Setting are now accessible in a tab on the right of the main area of the RodTracker, instead of a dialog from a dropdown menu. The changed settings are now applied immediately.

  • Mechanism for internal notification of successful saving

  • internal processes of data selection and loading are now seperated

Fixed

  • automatic rod activation during a camera change to where no rods are available

  • The unsaved changes indicator is now removed from all appropriate tabs, not only from the currently active one.

  • aborting of image selection

  • application crashes due to mishandled threads

  • cross platform path incompatibilities

v0.4

skipped

v0.3

skipped

v0.2

skipped

v0.1.1

Fixed

  • crashes of the RodTracker when new rods are introduced during use (see #60)

v0.1.0

Added

  • a versioning system

ParticleDetection

v0.4.0

Added

  • documentation with Sphinx

    • improved API documentation

    • include examples

  • more basic functions are available instead of just their runner functions, e.g. project_points(...)

  • support for python 3.8 added

  • possibility to define an expected number of particles when extracting rod endpoints

  • added automated tests

  • exporting detected objects to JSON format for training

  • support for all annotation types provided by the VGG Image Annotator in training metadata

  • endpoint reordering for smoother post-processing

Changed

  • now uses the headless version of OpenCV

  • simplified the default format for transformations from camera to world coordinate system

  • object detection function now accepts arbitrary saving functions instead of having one fixed saving method built into it

Fixed

  • tracking of rods over multiple frames (see here)

  • incomplete/incorrect setup of logging for the library

Removed

  • run_detection(...) no longer returns the raw detection results

v0.3.1

Added

  • start versioning