RodTracker
[v0.6.6]
Added
a couple of warnings added which were missing in the last release
Fixed
updated paths in documentation
Note
intended reference version for JOSS publication
[v0.6.5]
Added
shows warning message when loading coordinate data for only one camera (instead of producing an error)
shows warning message when attempting to solve tracking or update the graphs when only one camera data is loaded
Fixed
updated documentation of RodTracker with better explanation of workflow and usage of example data
other small updates to documentation
[v0.6.4]
Added
missing sections in documentation were added (i.e. world coordinate transformation)
placeholders (TBDs) were replaced for API documentation
Changed
default rod detection models (CPU and CUDA) are now published and downloaded via PyTorch Hub (#102)
default number of detected particles changed to 25 for each color (corresponding to default sample data)
ParticleDetection dependency updated (ParticleDetection v0.4.3 now required)
reverted to original dialogue window for stereo calibration/world transformation (for consistency with image loading dialogue)
Fixed
tracking now works as intended, previously it required to press the “solve” button frame by frame (#96)
solved issue when changes in data were not saved and reverted after pressing “solve” button
tracking/matching tests were updated according to the fixed tracking issue
v0.6.3
Added
Changed
Fixed
v0.6.2
Added
Changed
removed/changed URL dependencies (#78)
removed metadata from version generation
Fixed
Removed
GPUinstallation option
v0.6.1
Added
support for python3.11
support for more complex image file names, i.e. ‘…_00000.png’
buttons to report issues/request features on GitHub
dynamic versioning
support for macOS
creation of installers on Windows, Linux, and macOS
choice between opening a local/online version of the documentation
Changed
logo/icon
Fixed
missing installation requirement (Git)
capability to ‘correct’ rods when none are present in the loaded dataset on the current frame (#73)
Removed
bundling into a single file
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
ParticleDetectionfunctionalitydetection 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 rodssetting is no longer available
v0.5.8
Changed
migration from
setuptoolstopoetryas the build system
Fixed
bundling of the
RodTrackerto 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
RodTrackerwhen 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
QTreeWidgetzooming 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
RodTrackerwhen new rods are introduced during use (see #60)
v0.1.0
Added
a versioning system
ParticleDetection
Unreleased
[v0.4.3]
Fixed
tracking now works as intended (#96)
tracking/matching tests were updated according to the fixed tracking issue
v0.4.2
Added
support for Python 3.12
Fixed
error mitigation for failed projection error binning
numpy version mismatch (#90)
minimum test coverage
v0.4.1
Added
Changed
removed/changed URL dependencies (#78)
Fixed
import sorting (#80)
multiple dependency constraints, otherwise breaking functionality
issue of Tkinter not finding a usable init.tcl on Windows
Removed
CPU&GPUextra
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