VIP v1.0.1

• [preproc] Addition of scale_fft, an FFT-based image scaling routine, which can be used in frame_px_resampling, cube_px_resampling, cube_rescaling_wavelengths and frame_rescaling by setting imlib='vip-fft'.
• [preproc] _frame_rescaling renamed into frame_rescaling (i.e. made callable from outside rescaling.py).
• Fix for opencv implicit dependencies in throughput, contrast curve, speckle noise estimation, cube recentering via speckles, STIM and inverse STIM map functions.
• Added dtype=object for ragged arrays to avoid deprecation warnings (in snr and utils_pca functions).
• Fix for 3D numpy arrays opened through vip_ds9.

VIP v1.0.0

Major update:

• requirements built with pip-compile (pinned versions of packages)
• New module: specfit
• imlib and interpolation now consistently provided to all ADI-related algorithms (used for rotation)
• [negfc] Added routine to estimate residual speckle noise uncertainty by injection of fake companions
• [negfc] New log-likelihood expression for MCMC-NEGFC
• [nmf] NMF full-frame compatible with masking of negative values
• [nmf] NMF annular
• [pca] New options for PCA routines
• [pca] Updated default behaviour for pca_annular with reference cube such that R+ADI can be performed depending on delta_rot value
• [preproc/derotation] added FFT-based rotation algorithm (Larkin et al. 1997)
• [preproc/rescaling] New automatic algorithm to determine optimal scaling factor between images at different wavelengths.
• [preproc/subsampling] NaN-compatible collapse functions (e.g. np.nanmedian instead of np.median)
• [var/filters] filters can now interpolate NaN values (a la astropy)
• minor bug fixes
• deprecation fixes

VIP v0.9.11

Changes since VIP v0.9.10:

• Improved compute_binary_map function
• Updated docstrings in several functions
• Fixed call to deprecated normpdf (matplotlib older version)
• Fixed bug in cube_detect_badfr_ellipticity (to match new photutils API)
• Fixed how delta_rot parameter was handled in xloci and pca_annular functions
• Fixed negfc.firstguess function

VIP v0.9.10

Changes since VIP v0.9.9 :

• New SVDecomposer class, svd module was cleaned up.
• Lots of improvements to vip.pca.pca function for ADI, ADI+RDI or AmSDI datasets. It allows the computation of a grid of results when ncomp is a tuple, the possibility to choose a desired CEVR, and incremental PCA for big arrays. Updated docstrings.
• Improvements to vip.pca.pca_annular function for ADI, ADI+RDI or AmSDI datasets. Updated docstrings.
• Improvements to vip.preproc.cube_recenter_dft_upsampling function.
• Defaults changed in vip.var.fit_2d module.
• Added test modules: test_pipeline_adi, test_pipeline_sdi, test_pipeline_rdi, test_metrics_detection and test_metrics_snr.
• Module vip.metrics.snr_source has been cleaned up. Function snr computed the STD of background apertures with the ddof=1 option.
• Other minor fixes and improvements.

VIP v0.9.9

Thanks to @r4lv, @VChristiaens, @jmilou, @ChrisDelaX who made some of the contributions below. Changes since VIP v0.9.8 :

• Dropped Python 2.7 compatibility.
• Removed plotting module. VIP now imports the package HCIplot.
• Improved test suite (pipeline for both ADI and ADI+mSDI).
• Improved detection function.
• New options for the S/N computation.
• Better handling of versions in requirements file.
• Bug-fix in PCA for 4D arrays.
• Bug-fix phase_function module.
• Bug-fix in get_eigenvectors when ncomp = None.
• Improved OOP interface (HCIDataset, HCIFrame and HCI).
• Improvements to the vip_hci.metrics.roc module.
• Coverage reports with codecov.io.
• Updated ANDROMEDA algorithm.
• Added the stim module (detection map) in metrics.
• Improved documentation in several functions/classes.

VIP v0.9.8

Changes since VIP v0.9.7:

• New class ScatteredLightDisk by @jmilou for generating synthetic discs. This code is based on a light version of the GRATER tool (GRenoble RAdiative TransfER, Augereau et al. 1999)
• New functions cube_inject_fakedisk and cube_inject_trace
• New function cube_shift
• Bug fixed in snrmap function
• Bug fixed in cube_detect_badfr_pxstats (due to Pandas API change)
• Improvements in HCIPostProcAlgo and HCIDataset classes (for new OOP API)
• Improvements in normalize_psf function
• Improvements in cube_rescaling_wavelengths and _find_indices_sdi functions
• Improvements in median_sub function
• Improvements in compute_binary_map function
• Redundant function in shapes module were removed. The signatures of several functions were unified
• Changed defaults for xloci least-square model PSF subtraction
• Updated ANDROMEDA algorithm
• Support for Python 3.7
• Improved pytest coverage
• Improved documentation

VIP v0.9.7

Changes since VIP v0.9.6:

• Several model PSF subtraction algorithms are now compatible with ASDI datasets.
• New metrics subpackage with a ROC class.
• Refactoring of multi-processing logic.
• Improvements on the ANDROMEDA implementation.
• Various bugs were fixed.
• Code cleanup.

VIP v0.9.6

This new version of VIP contains the following changes:

• Improved HCIDataset, HCIFrame and a couple of HCI classes. This is part of the new object oriented API to make the functionality of VIP more cohesive.
• A port of the IDL ANDROMEDA algorithm has been added (great job @r4lv).
• Improved centering routines and create_synth_psf function.
• Code cleanup in fits module.
• Improved docstrings of several functions/classes.

VIP v0.9.5

• Introducing new object oriented API (classes HCICube, HCIFrame). Work in progress, to be finished before VIP 1.0.0 release.
• Re-written full-frame PCA algorithm, with improved ADI+mSDI processing.
• Improved 2d fitting (Gaussian, Moffat and Airy disk models). New create_synth_psf function.
• Cube subsampling in 4d case.
• Improved normalize_psf function (psf_norm before)
• Code cleanup and various minor enhancements.
• Documentation cleanup.
• More homogenous plotting style.

VIP v0.9.4

• Updated the Jupyter notebook tutorial for ADI data processing with VIP v0.9.4. See the repo: https://github.com/carlgogo/vip-tutorial
• Code cleanup in several modules and small speed improvements (thanks @r4lv)
• Fix in cube_recenter_dft_upsampling and frame_center_satspots
• Automated testing for recentering functions (thanks @r4lv)
• Re-written mask_circle function for masking a centered circular aperture
• Fixed documentation webpage. Sphinx/autodoc is correctly generating the API documention
• Improvements in psf_norm, plot_surface, pp_subplots and cube_recenter_satspots
• Fixed small bugs in pca_adi_annular
• Improvements in mcmc_negfc_sampling and confidence