v0.16.2

See DataLab roadmap page for future and past milestones.

DataLab Version 0.16.2

This release requires PlotPy v2.4.0 or later, which brings the following bug fixes and new features:

• New constrast adjustment features and bug fixes:

  • New layout: the vertical toolbar (which was constrained in a small area on the
    right side of the panel) is now a horizontal toolbar at the top of the panel,
    beside the title
  • New "Set range" button: allows the user to set manually the minimum and maximum
    values of the histogram range
  • Fixed histogram update issues when no image was currently selected (even if the
    an image was displayed and was selected before)
  • Histogram range was not updated when either the minimum or maximum value was set
    using the "Minimum value" or "Maximum value" buttons (which have been renamed to
    "Min." and "Max." in this release)
  • Histogram range was not updated when the "Set full range" button was clicked, or
    when the LUT range was modified using the "Scales / LUT range" form in "Properties"
    group box

• Image view context menu: new "Reverse X axis" feature

ℹ️ Minor new features and enhancements:

• Image file types:
  • Added native support for reading .SPE, .GEL, .NDPI and .REC image files
  • Added support for any imageio-supported file format through configuration file (entry imageio_formats may be customized to complement the default list of supported formats: see documentation for more details)

🛠️ Bug fixes:

• Image Fourier analysis:

  • Fixed logarithmic scale for the magnitude spectrum (computing dB instead of natural logarithm)
  • Fixed PSD computation with logarithmic scale (computing dB instead of natural logarithm)
  • Updated the documentation to explicitly mention that the logarithmic scale is in dB

• Fixed Issue #82 - Macros are not renamed in DataLab after exporting them to Python scripts

• ResultProperties object can now be added to SignalObj or ImageObj metadata even outside a Qt event loop (because the label item is no longer created right away)

• Progress bar is now automatically closed as expected when an error occurrs during a long operation (e.g. when opening a file)

• Difference, division, ...: dialog box for the second operand selection was allowing to select a group (only a signal or an image should be selected)

• When doing an operation which involves an object (signal or image) with higher order number than the current object (e.g. when subtracting an image with an image from a group below the current image), the resulting object's title now correctly refers to the order numbers of the objects involved in the operation (e.g., to continue with the subtraction example mentioned above, the resulting object's title was previously referring to the order number before the insertion of the resulting image)

• Added support for additional test data folder thanks to the CDL_DATA environment variable (useful for testing purposes, and especially in the context of Debian packaging)

v0.16.1

DataLab Version 0.16.1

Since version 0.16.0, many validation functions have been added to the test suite.
The percentage of validated compute functions has increased from 37% to 84% in this release.

NumPy 2.0 support has been added with this release.

ℹ️ Minor new features and enhancements:

• Signal and image moving average and median filters:
  • Added "Mode" parameter to choose the mode of the filter (e.g. "reflect", "constant", "nearest", "mirror", "wrap")
  • The default mode is "reflect" for moving average and "nearest" for moving median
  • This allows to handle edge effects when filtering signals and images

🛠️ Bug fixes:

• Fixed Canny edge detection to return binary image as uint8 instead of bool (for consistency with other image processing features)

• Fixed Image normalization: lower bound was wrongly set for maximum method

• Fixed ValueError when computing PSD with logarithmic scale

• Fixed Signal derivative algorithm: now using numpy.gradient instead of a custom implementation

• Fixed SciPy's cumtrapz deprecation: use cumulative_trapezoid instead

• Curve selection now shows the individual points of the curve (before, only the curve line width was broadened)

• Windows installer: add support for unstable releases (e.g., 0.16.1.dev0), thus allowing to easily install the latest development version of DataLab on Windows

• Fixed Issue #81 - When opening files, show progress dialog only if necessary

• Fixed Issue #80 - Plotting results: support for two use cases

  • The features of the "Computing" menu produce results (scalars): blob detection (circle coordinates), 2D peak detection (point coordinates), etc. Depending on the feature, result tables are displayed in the "Results" dialog box, and the results are also stored in the signal or image metadata: each line of the result table is an individual result, and each column is a property of the result - some results may consist only of a single individual result (e.g., image centroid or curve FHWM), while others may consist of multiple individual results (e.g., blob detection, contour detection, etc.).
  • Before this change, the "Plot results" feature only supported plotting the first individual result of a result table, as a function of the index (of the signal or image objects) or any of the columns of the result table. This was not sufficient for some use cases, where the user wanted to plot multiple individual results of a result table.
  • Now, the "Plot results" feature supports two use cases:
    • "One curve per result title": Plotting the first individual result of a result table, as before
    • "One curve per object (or ROI) and per result title": Plotting all individual results of a result table, as a function of the index (of the signal or image objects) or any of the columns of the result table
  • The selection of the use case is done in the "Plot results" dialog box
  • The default use case is "One curve per result title" if the result table has only one line, and "One curve per object (or ROI) and per result title" otherwise

v0.16.0

DataLab Version 0.16.0

💥 New features and enhancements:

• Major user interface overhaul:

  • The menu bar and toolbars have been reorganized to make the application more
    intuitive and easier to use
  • Operations and processing features have been regrouped in submenus
  • All visualization-related actions are now grouped in the plot view vertical toolbar
  • Clarified the "Annotations" management (new buttons, toolbar action, ...)

• New validation process for signal and image features:

  • Before this release, DataLab's validation process was exclusively done from the
    programmer's point of view, by writing unit tests and integration tests, thus
    ensuring that the code was working as expected (i.e. that no exception was raised
    and that the behavior was correct)
  • With this release, a new validation process has been introduced, from the user's
    point of view, by adding new validation functions (marked with the
    @pytest.mark.validation decorator) in the test suite
  • A new "Validation" section in the documentation explains how validation is done
    and contains a list of all validation functions with the statistics of the
    validation process (generated from the test suite)
  • The validation process is a work in progress and will be improved in future versions

• "Properties" group box:

  • Added "Scales" tab, to show and set the plot scales:
    • X, Y for signals
    • X, Y, Z (LUT range) for images

• View options:

  • New "Show first only" option in the "View" menu, to show only the first curve
    (or image) when multiple curves (or images) are displayed in the plot view
  • New (movable) label for FWHM computations, additional to the existing segment annotation

• I/O features:

  • Added support for reading and writing .MAT files (MATLAB format)
  • Create a new group when opening a file containing multiple signals or images (e.g. CSV file with multiple curves)

• Add support for binary images

• Signal ROI extraction: added new dialog box to manually edit the ROI lower and upper bounds after defining the ROI graphically

ℹ️ New Signal operations, processing and computing features:

Menu	Submenu	Features
New	New signal	Exponential, pulse, polynomial, experimental (manual input)
Operations		Exponential, Square root, Power
Operations	Operations with a constant	+, -, *, /
Processing	Axis Transformation	Reverse X-axis
Processing	Level Adjustment	Offset correction
Processing	Fourier analysis	Power spectrum, Phase spectrum, Magnitude spectrum, Power spectral density
Processing	Frequency filters	Low-pass, High-pass, Band-pass, Band-stop
Processing		Windowing (Hanning, Hamming, Blackman, Blackman-Harris, Nuttall, Flat-top, ...)
Processing	Fit	Linear fit, Sinusoidal fit, Exponential fit, CDF fit
Computing		FWHM (Zero-crossing method), X value @ min/max, Sampling period/frequency, Dynamic parameters (ENOB, SNR, SINAD, THD, SFDR), -3dB bandwidth, Contrast

ℹ️ New Image operations, processing and computing features:

Menu	Submenu	Features
Operations		Exponential
Operations	Intensity profiles	Profile along a segment
Operations	Operations with a constant	+, -, *, /
Processing	Level Adjustment	Normalization, Clipping, Offset correction
Processing	Fourier analysis	Power spectrum, Phase spectrum, Magnitude spectrum, Power spectral density
Processing	Thresholding	Parametric, ISODATA, Li, Mean, Minimum, Otsu, Triangle, Yen

🛠️ Bug fixes:

• Fixed a performance issue due to an unnecessary refresh of the plot view when adding a new signal or image
• Fixed Issue #77 - Intensity profiles: unable to accept dialog the second time
• Fixed Issue #75 - View in a new window: curve anti-aliasing is not enabled by default
• Annotations visibility is now correctly saved and restored:
  • Before this release, when modifying the annotations visibility in the separate plot view, the visibility was not saved and restored when reopening the plot view
  • This has been fixed upstream in PlotPy (v2.3.3)

v0.15.1

See DataLab roadmap page
for future and past milestones.

DataLab Version 0.15.1

🛠️ Bug fixes:

• Fixed Issue #68 - Slow loading of even simple plots:
  • On macOS, the user experience was degraded when handling even simple plots
  • This was due to the way macOS handles the pop-up windows, e.g. when refreshing the
    plot view ("Creating plot items" progress bar), hence causing a very annoying
    flickering effect and a global slowdown of the application
  • This is now fixed by showing the progress bar only after a short delay (1s), that
    is when it is really needed (i.e. for long operations)
  • Thanks to @marcel-goldschen-ohm for the
    very thorough feedback and the help in testing the fix
• Fixed Issue #69 - Annotations should be read-only in Signal/Image View
  • Regarding the annotations, DataLab's current behavior is the following:
    • Annotations are created only when showing the signal/image in a separate window
      (double-click on the object, or "View" > "View in a new window")
    • When displaying the objects in either the "Signal View" or the "Image View", the
      annotations should be read-only (i.e. not movable, nor resizable or deletable)
  • However, some annotations were still deletable in the "Signal View" and the
    "Image View": this is now fixed
  • Note that the fact that annotations can't be created in the "Signal View" or the
    "Image View" is a limitation of the current implementation, and may be improved in
    future versions

DataLab Version 0.15.0

🎁 New installer for the stand-alone version on Windows:

• The stand-alone version on Windows is now distributed as an MSI installer (instead
  of an EXE installer)
• This avoids the false positive detection of the stand-alone version as a
  potential threat by some antivirus software
• The program will install files and shortcuts:
  • For current user, if the user has no administrator privileges
  • For all users, if the user has administrator privileges
  • Installation directory may be customized
• MSI installer allows to integrate DataLab's installation seemlessly in an
  organization's deployment system

💥 New features and enhancements:

• Added support for large text/CSV files:
  • Files over 1 GB (and with reasonable number of lines) can now be imported
    as signals or images without crashing the application or even slowing it down
  • The file is read by chunks and, for signals, the data is downsampled to a
    reasonable number of points for visualization
  • Large files are supported when opening a file (or dragging and dropping a file
    in the Signal Panel) and when importing a file in the Text Import Wizard
• Auto downsampling feature:
  • Added "Auto downsampling" feature to signal visualization settings (see "Settings"
    dialog box)
  • This feature allows to automatically downsample the signal data for visualization
    when the number of points is too high and would lead to a slow rendering
  • The downsampling factor is automatically computed based on the configured
    maximum number of points to display
  • This feature is enabled by default and may be disabled in the signal visualization
    settings
• CSV format handling:
  • Improved support for CSV files with a header row (column names)
  • Added support for CSV files with empty columns
• Open/save file error handling:
  • Error messages are now more explicit when opening or saving a file fails
  • Added a link to the folder containing the file in the error message
• Added "Plugins and I/O formats" page to the Installation and Configuration Viewer
  (see "Help" menu)
• Reset DataLab configuration:
  • In some cases, it may be useful to reset the DataLab configuration file to its
    default values (e.g. when the configuration file is corrupted)
  • Added new --reset command line option to remove the configuration folder
  • Added new "Reset DataLab" Start Menu shortcut to the Windows installer

🛠️ Bug fixes:

• Fixed Issue #64 - HDF5 browser does not show datasets with 1x1 size:
  • HDF5 datasets with a size of 1x1 were not shown in the HDF5 browser
  • Even if those datasets should not be considered as signals or images, they are now
    shown in the HDF5 browser (but not checkable, i.e. not importable as signals or images)

Full Changelog: v0.15.0...v0.15.1

v0.15.0

See DataLab roadmap page
for future and past milestones.

DataLab Version 0.15.0

🎁 New installer for the stand-alone version on Windows:

• The stand-alone version on Windows is now distributed as an MSI installer (instead
  of an EXE installer)
• This avoids the false positive detection of the stand-alone version as a
  potential threat by some antivirus software
• The program will install files and shortcuts:
  • For current user, if the user has no administrator privileges
  • For all users, if the user has administrator privileges
  • Installation directory may be customized
• MSI installer allows to integrate DataLab's installation seemlessly in an
  organization's deployment system

💥 New features and enhancements:

• Added support for large text/CSV files:
  • Files over 1 GB (and with reasonable number of lines) can now be imported
    as signals or images without crashing the application or even slowing it down
  • The file is read by chunks and, for signals, the data is downsampled to a
    reasonable number of points for visualization
  • Large files are supported when opening a file (or dragging and dropping a file
    in the Signal Panel) and when importing a file in the Text Import Wizard
• Auto downsampling feature:
  • Added "Auto downsampling" feature to signal visualization settings (see "Settings"
    dialog box)
  • This feature allows to automatically downsample the signal data for visualization
    when the number of points is too high and would lead to a slow rendering
  • The downsampling factor is automatically computed based on the configured
    maximum number of points to display
  • This feature is enabled by default and may be disabled in the signal visualization
    settings
• CSV format handling:
  • Improved support for CSV files with a header row (column names)
  • Added support for CSV files with empty columns
• Open/save file error handling:
  • Error messages are now more explicit when opening or saving a file fails
  • Added a link to the folder containing the file in the error message
• Added "Plugins and I/O formats" page to the Installation and Configuration Viewer
  (see "Help" menu)
• Reset DataLab configuration:
  • In some cases, it may be useful to reset the DataLab configuration file to its
    default values (e.g. when the configuration file is corrupted)
  • Added new --reset command line option to remove the configuration folder
  • Added new "Reset DataLab" Start Menu shortcut to the Windows installer

🛠️ Bug fixes:

• Fixed Issue #64 - HDF5 browser does not show datasets with 1x1 size:
  • HDF5 datasets with a size of 1x1 were not shown in the HDF5 browser
  • Even if those datasets should not be considered as signals or images, they are now
    shown in the HDF5 browser (but not checkable, i.e. not importable as signals or images)

v0.14.2

See DataLab roadmap page
for future and past milestones.

DataLab Version 0.14.2

⚠️ API changes required for fixing support for multiple signals loading feature:

• Merged open_object and open_objects methods to load_from_files in proxy
  classes, main window and data panels
• For consistency's sake: merged save_object and save_objects into save_to_files
• To sum up, those changes lead to the following situation:
  • load_from_files: load a sequence of objects from multiple files
  • save_to_files: save a sequence of objects to multiple files (at the moment,
    it only supports saving a single object to a single file, but it may be extended
    in the future to support saving multiple objects to a single file)

🛠️ Bug fixes:

• Fixed Issue #61 - Text file import wizard: application crash when importing a multiple curve text file:
  • This issue concerns a use case where the text file contains multiple curves
  • This is now fixed and an automatic test has been added to prevent regressions

v0.14.1

See DataLab roadmap page
for future and past milestones.

DataLab Version 0.14.1

🎉 New domain name: datalab-platform.com

💥 New features:

• Added support for colormap inversion in Image View:
  • New "Invert colormap" entry in plot context menu, image parameters, and in the
    default image view settings
  • This requires PlotPy v2.3 or later
• HDF5 Browser:
  • Added "Show array" button at the corner of the "Group" and "Attributes" tabs,
    to show the array in a separate window (useful for copy/pasting data to other
    applications, for instance)
  • Attributes: added support for more scalar data types
• Testability and maintainability:
  • DataLab's unit tests are now using pytest. This has required
    a lot of work for the transition, especially to readapt the tests so that they may
    be executed in the same process. For instance, a particular attention has been
    given to sandboxing the tests, so that they do not interfere with each other.
  • Added continuous integration (CI) with GitHub Actions
  • For this release, test coverage is 87%
• Text file import assistant:
  • Drastically improved the performance of the array preview when importing large
    text files (no more progress bar, and the preview is now displayed almost
    instantaneously)

🛠️ Bug fixes:

• XML-RPC server was not shut down properly when closing DataLab
• Fixed test-related issues: some edge cases were hidden by the old test suite, and
  have been revealed by the transition to pytest. This has led to some bug fixes
  and improvements in the code.
• On Linux, when running a computation on a signal or an image, and on rare occasions,
  the computation was stuck as if it was running indefinitely. Even though the graphical
  user interface was still responsive, the computation was not progressing and the user
  had to cancel the operation and restart it. This was due to the start method of the
  separate process used for the computation (default method was "fork" on Linux). This
  is now fixed by using the "spawn" method instead, which is the recommended method for
  latest versions of Python on Linux when multithreading is involved.
• Fixed Issue #60 - OSError: Invalid HDF5 file [...] when trying to open an HDF5 file with an extension other than ".h5"
• Image Region of Interest (ROI) extraction: when modifying the image bounds in the
  confirmation dialog box, the ROI was not updated accordingly until the operation was
  run again
• Deprecation issues:
  • Fixed scipy.ndimage.filters deprecation warning
  • Fixed numpy.fromstring deprecation warning

v0.14.0

See DataLab roadmap page
for future and past milestones.

DataLab Version 0.14.0

💥 New features:

• New "Histogram" feature in "Computing" menu:
  • Added histogram computation feature for both signals and images
  • The histogram is computed on the regions of interest (ROI) if any, or on the
    whole signal/image if no ROI is defined
  • Editable parameters: number of bins, lower and upper bounds
• HDF5 browser:
  • Improved tree view layout (more compact and readable)
  • Multiple files can now be opened at once, using the file selection dialog box
  • Added tabs with information below the graphical preview:
    • Group info: path, textual preview, etc.
    • Attributes info: name, value
  • Added "Show only supported data" check box: when checked, only supported data
    (signals and images) are shown in the tree view
  • Added "Show values" check box, to show/hide the values in the tree view
• Macro Panel:
  • Macro commands are now numbered, starting from 1, like signals and images
• Remote control API (RemoteProxy and LocalProxy):
  • get_object_titles method now accepts "macro" as panel name and returns
    the list of macro titles
  • New run_macro, stop_macro and import_macro_from_file methods

🛠️ Bug fixes:

• Stand-alone version - Integration in Windows start menu:
  • Fixed "Uninstall" shortcut (unclickable due to a generic name)
  • Translated "Browse installation directory" and "Uninstall" shortcuts
• Fixed Issue #55 - Changing image bounds in Image View has no effect on the associated image object properties
• Fixed Issue #56 - "Test data" plugin: AttributeError: 'NoneType' object has no attribute 'data' when canceling "Create image with peaks"
• Fixed Issue #57 - Circle and ellipse result shapes are not transformed properly
• Curve color and style cycle:
  • Before this release, this cycle was handled by the same mechanism either for the
    Signal Panel or the HDF5 Browser, which was not the expected behavior
  • Now, the cycle is handled separately: the HDF5 Browser or the Text Import
    Wizard use always the same color and style for curves, and they don't interfere
    with the Signal Panel cycle

v0.12.0

See DataLab roadmap page
for future and past milestones.

💡About DataLab Windows installers:

• DataLab Windows installer is available for Windows 8, 10 and 11 (main release, based on Python 3.11) and also for Windows 7 SP1 (Python 3.8 based release, see file ending with -Win7.exe).
• ⚠️ On Windows 7 SP1, before running DataLab (or any other Python 3 application), you must install Microsoft Update KB2533623 (Windows6.1-KB2533623-x64.msu) and also may need to install Microsoft Visual C++ 2015-2022 Redistribuable package.

DataLab Version 0.12.0

🧹 Clarity-Enhanced Interface Update:

• The tabs used to switch between the data panels (signals and images) and the
  visualization components ("Curve panel" and "Image panel") have been renamed
  to "Signal Panel" and "Image Panel" (instead of "Signals" and "Images")
• The visualization components have been renamed to "Signal View" and "Image View"
  (instead of "Curve panel" and "Image panel")
• The data panel toolbar has been renamed to "Signal Toolbar" and "Image Toolbar"
  (instead of "Signal Processing Toolbar" and "Image Processing Toolbar")
• Ergonomics improvements: the "Signal Panel" and "Image Panel" are now displayed
  on the left side of the main window, and the "Signal View" and "Image View" are
  displayed on the right side of the main window. This reduces the distance between
  the list of objects (signals and images) and the associated actions (toolbars and
  menus), and makes the interface more intuitive and easier to use

✨ New tour and demo feature:

• When starting DataLab for the first time, an optional tour is now shown to the user
  to introduce the main features of the application
• The tour can be started again at any time from the "?" menu
• Also added a new "Demo" feature to the "?" menu

🚀 New Binder environment to test DataLab online without installing anything

📚 Documentation:

• New text tutorials are available:
  • Measuring Laser Beam Size
  • DataLab and Spyder: a perfect match
• "Getting started" section: added more explanations and links to the tutorials
• New "Contributing" section explaining how to contribute to DataLab, whether you
  are a developer or not
• New "Macros" section explaining how to use the macro commands feature
• Added "Copy" button to code blocks in the documentation

💥 New features:

• New "Text file import assistant" feature:
  • This feature allows to import text files as signals or images
  • The user can define the source (clipboard or texte file)
  • Then, it is possible to define the delimiter, the number of rows to skip,
    the destination data type, etc.
• Added menu on the "Signal Panel" and "Image Panel" tabs corner to quickly access the
  most used features (e.g. "Add", "Remove", "Duplicate", etc.)
• Intensity profile extraction feature:
  • Added graphical user interface to extract intensity profiles from images, for
    both line and averaged profiles
  • Parameters are still directly editable by the user ("Edit profile parameters"
    button)
  • Parameters are now stored from one profile extraction to another
• Statistics feature:
  • Added <y>/σ(y) to the signal "Statistics" result table
    (in addition to the mean, median, standard deviation, etc.)
  • Added peak-to-peak to the signal and image "Statistics" result table
• Curve fitting feature: fit results are now stored in a dictionary in the signal
  metadata (instead of being stored individually in the signal metadata)
• Window state:
  • The toolbars and dock widgets state (visibility, position, etc.) are now stored
    in the configuration file and restored at startup (size and position were already
    stored and restored)
  • This implements part of Issue #30 - Save/restore main window layout

🛠️ Bug fixes:

• Fixed Issue #41 - Radial profile extraction: unable to enter user-defined center coordinates
• Fixed Issue #49 - Error when trying to open a (UTF-8 BOM) text file as an image
• Fixed Issue #51 - Unexpected dimensions when adding new ROI on an image with X/Y arbitrary units (not pixels)
• Improved plot item style serialization management:
  • Before this release, the plot item style was stored in the signal/image metadata
    only when saving the workspace to an HDF5 file. So, when modifying the style of a
    signal/image from the "Parameters" button (view toolbar), the style was not kept
    in some cases (e.g. when duplicating the signal/image).
  • Now, the plot item style is stored in the signal/image metadata whenever the style
    is modified, and is restored when reloading the workspace
• Handled ComplexWarning cast warning when adding regions of interest (ROI)
  to a signal with complex data

v0.11

See DataLab roadmap page
for future and past milestones.

💡About DataLab Windows installers:

• DataLab Windows installer is available for Windows 8, 10 and 11 (main release, based on Python 3.11) and also for Windows 7 SP1 (Python 3.8 based release, see file ending with -Win7.exe).
• ⚠️ On Windows 7 SP1, before running DataLab (or any other Python 3 application), you must install Microsoft Update KB2533623 (Windows6.1-KB2533623-x64.msu) and also may need to install Microsoft Visual C++ 2015-2022 Redistribuable package.

DataLab Version 0.11.0

💥 New features:

• Signals and images may now be reordered in the tree view:
  • Using the new "Move up" and "Move down" actions in the "Edit" menu (or using the
    corresponding toolbar buttons):
  • This fixes Issue #22 - Add "move up/down" actions in "Edit" menu, for signals/images and groups
• Signals and images may also be reordered using drag and drop:
  • Signals and images can be dragged and dropped inside their own panel to change
    their order
  • Groups can also be dragged and dropped inside their panel
  • The feature also supports multi-selection (using the standard Ctrl and Shift
    modifiers), so that multiple signals/images/groups can be moved at once, not
    necessarily with contiguous positions
  • This fixes Issue #17 - Add Drag and Drop feature to Signals/Images tree views
• New 1D interpolation features:
  • Added "Interpolation" feature to signal panel's "Processing" menu
  • Methods available: linear, spline, quadratic, cubic, barycentric and PCHIP
  • Thanks to @marcel-goldschen-ohm for the contribution to spline interpolation
  • This fixes Issue #20 - Add 1D interpolation features
• New 1D resampling feature:
  • Added "Resampling" feature to signal panel's "Processing" menu
  • Same interpolation methods as for the "Interpolation" feature
  • Possibility to specify the resampling step or the number of points
  • This fixes Issue #21 - Add 1D resampling feature
• New 1D convolution feature:
  • Added "Convolution" feature to signal panel's "Operation" menu
  • This fixes Issue #23 - Add 1D convolution feature
• New 1D detrending feature:
  • Added "Detrending" feature to signal panel's "Processing" menu
  • Methods available: linear or constant
  • This fixes Issue #24 - Add 1D detrending feature
• 2D computing results:
  • Before this release, 2D computing results such as contours, blobs, etc. were
    stored in image metadata dictionary as coordinates (x0, y0, x1, y1, ...) even
    for circles and ellipses (i.e. the coordinates of the bounding rectangles).
  • For convenience, the circle and ellipse coordinates are now stored in image
    metadata dictionary as (x0, y0, radius) and (x0, y0, a, b, theta) respectively.
  • These results are also shown as such in the "Results" dialog box (either at the
    end of the computing process or when clicking on the "Show results" button).
  • This fixes Issue #32 - Contour detection: show circle (x, y, r) and ellipse (x, y, a, b, theta) instead of (x0, y0, x1, x1, ...)
• 1D and 2D computing results:
  • Additionnaly to the previous enhancement, more computing results are now shown
    in the "Results" dialog box
  • This concerns both 1D (FHWM, ...) and 2D computing results (contours, blobs, ...):
    • Segment results now also show length (L) and center coordinates (Xc, Yc)
    • Circle and ellipse results now also show area (A)
• Added "Plot results" entry in "Computing" menu:
  • This feature allows to plot computing results (1D or 2D)
  • It creates a new signal with X and Y axes corresponding to user-defined
    parameters (e.g. X = indexes and Y = radius for circle results)
• Increased default width of the object selection dialog box:
  • The object selection dialog box is now wider by default, so that the full
    signal/image/group titles may be more easily readable
• Delete metadata feature:
  • Before this release, the feature was deleting all metadata, including the Regions
    Of Interest (ROI) metadata, if any.
  • Now a confirmation dialog box is shown to the user before deleting all metadata if
    the signal/image has ROI metadata: this allows to keep the ROI metadata if needed.
• Image profile extraction feature: added support for masked images (when defining
  regions of interest, the areas outside the ROIs are masked, and the profile is
  extracted only on the unmasked areas, or averaged on the unmasked areas in the case
  of average profile extraction)
• Curve style: added "Reset curve styles" in "View" menu.
  This feature allows to reset the curve style cycle to its initial state.
• Plugin base classe PluginBase:
  • Added edit_new_signal_parameters method for showing a dialog box to edit
    parameters for a new signal
  • Added edit_new_image_parameters method for showing a dialog box to edit
    parameters for a new image (updated the cdl_testdata.py plugin accordingly)
• Signal and image computations API (cdl.core.computations):
  • Added wrappers for signal and image 1 -> 1 computations
  • These wrappers aim at simplifying the creation of a basic computation function
    operating on DataLab's native objects (SignalObj and ImageObj) from a
    function operating on NumPy arrays
  • This simplifies DataLab's internals and makes it easier to create new computing
    features inside plugins
  • See the cdl_custom_func.py example plugin for a practical use case
• Added "Radial profile extraction" feature to image panel's "Operation" menu:
  • This feature allows to extract a radially averaged profile from an image
  • The profile is extracted around a user-defined center (x0, y0)
  • The center may also be computed (centroid or image center)
• Automated test suite:
  • Since version 0.10, DataLab's proxy object has a toggle_auto_refresh method
    to toggle the "Auto-refresh" feature. This feature may be useful to improve
    performance during the execution of test scripts
  • Test scenarios on signals and images are now using this feature to improve
    performance
• Signal and image metadata:
  • Added "source" entry to the metadata dictionary, to store the source file path
    when importing a signal or an image from a file
  • This field is kept while processing the signal/image, in order to keep track of
    the source file path

📚 Documentation:

• New Tutorial section in the documentation: this section provides a set of tutorials to learn how to use DataLab
• New API section in the documentation:
  • This section explains how to use DataLab as a Python library, by covering the
    following topics:
    • How to use DataLab algorithms on NumPy arrays
    • How to use DataLab computation features on DataLab objects (signals and images)
    • How to use DataLab I/O features
    • How to use proxy objects to control DataLab remotely
  • This section also provides a complete API reference for DataLab objects and
    features
  • This fixes Issue #19 - Add API documentation (data model, functions on arrays or signal/image objects, ...)

🛠️ Bug fixes:

• Fixed Issue #29 - Polynomial fit error: QDialog [...] argument 1 has an unexpected type 'SignalProcessor'
• Image ROI extraction feature:
  • Before this release, when extracting a single circular ROI from an image with the
    "Extract all regions of interest into a single image object" option enabled, the
    result was a single image without the ROI mask (the ROI mask was only available
    when extracting ROI with the option disabled)
  • This was leading to an unexpected behavior, because one could interpret the result
    (a square image without the ROI mask) as the result of a single rectangular ROI
  • Now, when extracting a single circular ROI from an image with the "Extract all
    regions of interest into a single image object" option enabled, the result is a
    single image with the ROI mask (as if the option was disabled)
  • This fixes Issue #31 - Single circular ROI extraction: automatically switch to extract_single_roi function
• Computing on circular ROI:
  • Before this release, when running computations on a circular ROI,
    the results were unexpected in terms of coordinates (results seemed to be computed
    in a region located above the actual ROI).
  • This was due to a regression introduced in an earlier release.
  • Now, when defining a circular ROI and running computations on it, the results are
    computed on the actual ROI
  • This fixes Issue #33 - Computing on circular ROI: unexpected results
• Contour detection on ROI:
  • Before this release, when running contour detection on a ROI, some
    contours were detected outside the ROI (it may be due to a limitation of the
    s...