Change Log#
v0.3#
v0.3.10 (2024-04-04)#
Fixed
Documentation build errors
v0.3.9 (2024-04-04)#
Added
Instructions for installation via PyPI and on Google Colab
Changed
Updated minimal example notebook
Fixed
Windows’ PyPI wheels
v0.3.8 (2024-03-28)#
Added
PyPI badge to README
Precompiled wheels to PyPI
v0.3.7 (2024-03-28)#
Fixed
Changed wheel creation trigger behavior
v0.3.6 (2024-03-28)#
Fixed
Explicitly set author-email in pyproject.toml to avoid display issues on PyPI
v0.3.5 (2024-03-28)#
Fixed
Due to PyPI maintainance,
v0.3.4
was not published to the package index. It should happen now.
v0.3.4 (2024-03-28)#
Added
Source distribution released to PyPI
Add instructions to build sdist to documentation
v0.3.3 (2024-03-28)#
Added
Optional dependencies can be used during installation
Instructions for Conda environment
Prepare project for release to PyPI
Changed
Code style for C++/CUDA source
Build instructions have been updated
Fixed
Installation in conda environments and on systems with multiple compilers and Python versions
Small correction to example in docs landing page
v0.3.2 (2024-03-07)#
Added
Build and test badge to documentation
Azimuthal average test
Fixed
Resolved bug where list input in
azimuthal_average
was throwing an error
v0.3.1 (2024-03-05)#
Added
Documentation is now hosted on ReadtheDocs
Build and tests (currently, only Python and C++; CUDA not possible on GitHub actions)
Changed
README file
Updates to developers documentation
v0.3.0 (2024-03-01)#
Added
Image windowing function can now be used as an input for ddm function.
Documentation (developer guidelines for contributors, installation, doc-strings, etc.)
Noise estimators
Intermediate scattering function
Logo
support for fixed expression in fit_multik
general function azimuthal_average_array to perform an azimuthal average on a 3D ndarray
Changed
fit_multik also returns the standard error of the parameters
refactored functions for C++ & CUDA
improved azimuthal average (changed behaviour of input bins variable)
Fixed
mergesort & resample bugs with different dtypes
initial fit at reference k value in fit_multik was not done properly
CUDA compilation works well on various systems
v0.2#
v0.2.0 (2023-04-20)#
Added
ImageStructureFunction
provides methods to retrieve the full plane representation from half-plane.SINGLE_PRECISION
option at install time.Errors evaluated in
AzimuthalAverage
can be used infit_multik
In
fit_multik
, the user can now fix q-dependent parameter values viafixed_params
.In
fit_multik
, the user can now fix q-dependent parameters range viafixed_params_min
andfixed_params_max
.Results from
fit_multik
also include thek
parameter for convenience.
Changed
Now
ImageStructureFunction
data and err are stored using half-plane representation.Fit models are not saved to file due to incompatibilities with
dill
package.Updated pytest.
Fixed
Passed parameters in
fit_multik
are not changed by the function.
Removed
Removed unused functions and modules.
v0.1#
v0.1.3 (2023-04-04)#
Added
Reader function for raw image metadata (supports
.tif
and.nd2
)basic pytest routines
chunkify
function for time analysis (for non-stationary processes)variance in python backend
uncertainty in azimuthal average (selectable via flag in
azimuthal_average
function)fit function to fit a model for multiple k/q values at once
copyright information
script to generate fit models for the intermediate scattering function and image structure function
formatted (custom) binary file outputs (and readers/parsers) for the
ImageStructureFunction
and theAzimuthalAverage
classes
Changed
Now
save
method inImageStructureFunction
andAzimuthalAverage
allow the usage of the filename without the argument keyword.read_images
and related functions allow for the selection of color channels when reading image files.Improved speed in cuda fft2 step.
moved from static to dynamic library compilation
sped up the azimuthal average computation
Fixed
fixed a bug in azimuthal average
resample
methodfixed scaling issue in python backend fft mode
fixed bug in variance calculation in cuda backend
computing lag=0 in ddm python backend was causing an error due to faulty array slicing, this was fixed.
v0.1.2 (2023-01-24)#
Added
New
power_spec
andvar
properties inImageStructureFunction
andAzimuthalAverage
classes, containing the average power spectrum of the input images and the variance of the temporal fluctuations of the 2D Fourier transformed images.len()
method inImageStructureFunction
class, which returns the length of the underlyingdata
.
Fixed
Fixed memory leak.
Fixed evaluation of RAM memory in
cuda
core functions.
v0.1.1 (2023-01-20)#
Added
New
shape
property inAzimuthalAverage
class.Unified
read_images
function with support for Nikon .nd2 files.
Changed
azimuthal_average
method now works only withImageStructureFunction
objects. The generic method was moved to_azimuthal_average
.pixel_size
anddelta_t
properties ofImageStructureFunction
class can now be set by simple assignment and work as previousset_pixel_size
andset_delta_t
methods.Improved performance of
azimuthal_average
whenweights
are not set.Improved speed of optimization step in cuda functions.
Fixed
Fixed bug in image sequence reader.
Fixed fatal error on import in macOS systems when using conda environment.
Removed
set_pixel_size
andset_delta_t
methods ofImageStructureFunction
class have been substituted with simple assignment.Removed unused dependencies.
v0.1.0 (2023-01-16)#
Added
Image reading functions.
Image structure function calculation on CPU (python and C++) and GPU.
Azimuthal average calculation on CPU (python only).
Basic windowing functions for image preprocessing.
Basic central cross mask for azimuthal average computation.
Basic weights (sector average) functions for azimuthal average.
Objects loading and saving.
Lag selection functions.
Fit interface with
lmfit
.