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Changelog

1.6.0 (January 2023)

Added

  • Using new check_datasets function and modification to the check_band_names API. [#338]
  • Added margin calculation for the treatment chain with ROI image. [#341]
  • Addition of a method that estimates the grid to be calculated. [#342]
  • Add calculations for criteria 0,1,2,6,7 to the previously allocated cost_volume. [#325]
  • Add a new confidence mesure, interval_confidence.
  • Added an additional check not to use sgm with a step other than 1. [#378]

Fixed

  • Fix memory_consumption_estimation method with disparity grids. [#367]
  • Fix step in matching cost zncc method.
  • Fix disparity_source word.
  • Fix readthedocs. [#373]
  • Fix warning for xarray.Dataset.dims. [#375]
  • Fix margins for filter step. [#374]
  • Fix error in compute_mean_raster method. [#379]
  • Fix criteria computation ordre. [#382]
  • Correction of mistakes in the documentation. [#381]

Changed

  • Update user configuration file with new keys : "left" & "right". [#314]
  • Updating information in the various xarrays. [#368]
  • Parametrization of numba parallelization.
  • Replacing sys.exit by raises. [#370]
  • Xarray coordinates updated if a ROI is used in the create_dataset_from_inputs function. [#371]
  • Move allocate_cost_volume. [#343]
  • Change pkg_resources to importlib.metadata. [#349]
  • Update of the minimal version for python. [#377]
  • Update of the minimal version for python for CI github. [#365]

1.6.0a1 (November 2023)

Added

  • Addition of a step for matching_cost (only usable with Pandora2d). [#337]
  • Adding roi in create_dataset_from_inputs. [#346]
  • Adding disparity in dataset image. [#331]
  • Check inter dataset. [#334]
  • Adding check_datasets function. [#335]

Fixed

  • Rationalisation of the allocate_costvolume function. [#320]
  • Remove right_disp_map. [#324]
  • Fix step use. [#353]
  • Fix disparities for Pandora2d. [#359]
  • Update get_metadata with classification and segmentation. [#361]
  • Update check_disparities. [#363]
  • Correction of notebooks. [#362]

Changed

  • Change dmin_dmax name function to get_min_max_from_grid. [#347]
  • New disparity storage in the dataset containing the disparity map. [#339]
  • Moving some "pipeline" checks to abstract classes. [#313]
  • New format for disparity in the user configuration file. [#330]
  • Change read_img function to create_dataset_from_inputs. [#345]
  • Move get_metadata function in img_tools file. [#328]
  • Update and move check_dataset function. [#333]

1.5.0 (April 2023)

Added

  • Documentation plugin_arnn [#261]
  • Multiband input image classification. [#256]

Fixed

  • Deletion of the pip install codecov of githubAction CI [#305].

Changed

  • Reformatting check conf [#299]

1.4.0 (March 2023)

Added

  • Check that both segmentations/classifications are present if 3SGM and validation are intended. [#259]
  • Multiband images compatibility. [#251]
  • Add semantic_segmentation pipeline step. [#257]
  • Add a control margin size. [#285]
  • Allows the choice to normalize ambiguity. [#284]

Fixed

  • Correct Binder's notebooks dependency. [#292]
  • Correct statistical_and_visual_analysis notebook test. [#287]

1.3.0 (January 2023)

Added

  • Add indicator to distinguish different cost volume confidence maps. [#243]
  • Add Makefile. [#248]
  • Add confidence method naming according to the selected confidence method. [#268]
  • Add compatibility to plugin_libsgm's 3SGM method. [#255]

Changed

  • Remove dependance to ipyvolume. [#250]
  • Adapt confidence method naming to snake case style. [#278]

Fixed

  • Remove warnings from transition. [#252]

1.2.1 (December 2021)

Fixed

  • Functions get_margins works now with missing parameters (refinement, filter) [#235]
  • Enable inf value as a nodata. [#238]
  • Modify exception handling with machine state. [#239]

Added

  • Add band names on confidence measure output. [#234]

Changed

  • Force python version >= 3.7. [#241]
  • Update python packaging. [#197]

1.2.0 (September 2021)

  • Add a risk measure. [#228]
  • Subpixel processing with any even value. [#225]

Fixed

  • Correction on sampled_ambiguity when all costs are NaN. [#230]

1.1.1 (July 2021)

Fixed

  • Correct refinement bug when using subpixel. [#223]
  • Corrections to bug after new xarray version. [#224]

Added

  • Memory consumption estimation. [#222]
  • Add extra requirements making mccnn plugin available.

1.1.0 (June 2021)

Added

  • Binder for Pandora's notebooks. [#215]
  • Version handling with setuptools_scm. [#212]
  • Set dataset's transform to None if it is the identity matrix. [#211]
  • Handling of np.inf values on input images. [#210]
  • Remove copy from check_dataset and doesn't return dataset anymore. [#219]
  • Doc for confidence and piecewise optimization.
  • Do not force omp layer on numba and silence its warning.

Fixed

  • Correction on multi scale processing to allocate the confidence measure. [#217]
  • Correct non-masked nan values on validity mask. [#218]
  • Margin computation without optimisation step. [#220]

1.0.0 (March 2021)

Added

  • Implementation of the ambiguity confidence measure. [#162]
  • Implementation of the bilateral filter to suppress OpenCV dependency. [#148]
  • Checker to check if an image dataset is valid. [#196]
  • Creation of Jupyter notebooks for Pandora.[#153]

Fixed

  • Correct Nan propagation of the bilateral filter. [#159]

BREAKING CHANGE

  • GeoRef is now supported and both crs & transform ought to be set as attributes of images dataset provided to Pandora [#158]

0.5.1 (January 2021)

Fixed

  • Call to interpolation functions. [#175]
  • Check right disparities. [#177]
  • Disparity refinement after disparity map filtering step. [#154]

0.5.0 (January 2021)

Added

  • Implementation of multi scale processing for the disparity map computation. [#80]
  • A ./data_sample/ directory with images and configuration files for user's first steps with Pandora [#168]
  • Add extra requirements making sgm plugin available [#183]

Changed

  • Semantic change: stereo becomes matching_cost (transition name, module, files and class name). [#170]
  • Merge image on input configuration section. [#169]
  • Enable the use of GraphMachine if graphviz avalaible to generate machine states diagram. [#149]
  • Move find_valid_neighbors function to img_tools. [#184]
  • Renamed json_cheker to check_json. [#182]

Fixed

  • Confidence measure that computes the distance LR / RL in cross checking method. [#155]

0.4.0 (November 2020)

Added

  • Classification and segmentation maps as input. [#126]

Changed

  • Non truncation of the cost volume and the disparity map, which have the input image's size. [#152]
  • Input masks convention and creation of masks dataset.

0.3.0 (October 2020)

Added

  • Implementation of a state machine for Pandora's sequencing management. [#107]
  • Disparity grids as input to define dmin and dmax values for each pixel. [#91]
  • A changelog file. [#115]

Changed

  • "Image configuration (no data of image, no data and invalid pixel of input mask ) is now implemented as attributes of xarray image dataset and must no longer be provided separately to the run method. [#131]
  • The reference/secondary naming convention becomes left/right naming. [#135]
  • Functions which can modify input arguments passed by reference does not return these references anymore. [#109]

Fixed

  • Creation of mask dataset in read_img function of the img_tools module. [#133]
  • Management of no data in cbca method. [#125]
  • Detection between false matches and occlusions. [#132]