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CHANGELOG.md

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Changelog

0.4.0 (October 2024)

Added

  • Add unit tests for optical flows. [#114]
  • Subpix taken into account in the dichotomy. [#148]
  • Adding requirement numbers to the test docstring. [#143]
  • Add requirement on html-report test. [#167]
  • Variable initial disparity added to the configuration file. [#76]
  • Adding cardinal sine module in interpolation filter. [#146]
  • Mask added to the configuration file. [#157]
  • Variable disparity taken into account in matching cost step. [#152]
  • Add constant.py and criteria.py files for masks. [#159]
  • Add right-disparity-outside criterion. [#162]
  • Variable disparity taken into account in dichotomy. [#154]
  • Add accuracy tests for dichotomy. [#126]
  • Variable disparity taken into account in optical flow. [#158]
  • Add first resource tests. [#174]
  • Setting up disparity grids at inputs. [#165]
  • Add left_nodata and right_nodata criteria. [#160]
  • Add left_invalid and right_invalid criteria. [#161]
  • Add criteria dataarray. [#163]
  • Add profiling. [#175]

Fixed

  • Fix the use of a step with the optical flow method in the refinement step. [#119]
  • Fix ROI coordinates when the first point is within the margin. [#142]
  • Fix sphinx errors. [#168]
  • Remove np.inf on cost volume. [#170]

Changed

  • State machine callback changed from after to before. [#144]
  • Update pylint version. [#153]
  • Documentation updated with new parameters for variable initial disparity. [#150]
  • Update numpy version. [#145]
  • Removal of disparity grids in the state machine. [#171]
  • Removal of the disparity condition with the interpolation step. [#169]
  • Update dichotomy documentation. [#166]
  • Pixel size output updated as a function of step size. [#164]

0.3.0 (June 2024)

Added

  • Adding configuration file with dichotomy step. [#132]
  • Add warning documentation about stored disparity maps when step is different from 1. [#140]
  • Add warning documentation about pandora2d maturity. [#129]

Fixed

  • Fix estimation check_conf method. [#115]
  • Fix plot disparity maps with correct dataset on the notebook. [#139]
  • Fix update image path on README.md file. [#135]

Changed

  • Add ROI in test_dichotomy_execution. [#134]
  • Update version copyright. [#133]
  • Update README.md file. [#136]

0.3.0a1 (June 2024)

Added

  • Adding the dichotomy module in refinement step. [#64]
  • Adding margins in the dichotomy module. [#70]
  • Adding optical flow and phase cross correlation. [#52]
  • Adding the validation plan. [#45]
  • Adding ROI coordinates in the disparity maps datasets. [#98]
  • Adding note about odd window size in documentation. [#100]
  • Adding matching cost score in disparity maps. [#77]
  • Adding shift image method for subpix. [#109]
  • Adding MCCNN similarity measure. [#2]
  • Adding dichotomy refinement method. [#65]
  • Adding tests about ROI in check_configuration (validation plan). [#91]
  • Adding subpix parameter in matching_cost step. [#84]
  • Adding disparity margins in cost volumes. [#103]
  • Adding interpolation filter module. [#101]
  • Adding configuration tests (validation plan). [#89]
  • Adding bicubic module in interpolation filter. [#104]
  • Adding georeferencing to disparity maps. [#110]
  • Adding missing tests detected with coverage. [#121]
  • Addind documentation for dichotomy. [#68]

Fixed

  • Fix the github CI by adding the pytest_monitor dependency.
  • Fix interpolation error message when the disparity interval is smaller than 5. [#96]
  • Remove ROI margins in resulting disparity maps. [#97]
  • Update notebooks after evolution of run and run_prepare methods. [#93]
  • Fix notebook tests and clean-doc in Makefile.
  • Fix ROI margins in configuration. [#106]
  • Inverse row and column invalid disparity in optical flow.
  • Fix FAQ and before coding documentation. [#112]
  • Transmission of ROI in Pandora cost volume allocation. [#107]
  • Fix cost volume coordinates when using a ROI and a step different from 1. [#108]
  • Add ValueError message when disparity range is out of the image. [#111]
  • Remove get_global_margins method. [#117]
  • Fix window size equal to one with optical flow. [#118]
  • Fix correlation score and georeferencing with ROI. [#122]

Changed

  • Update matching cost check_conf. [#125]
  • Update dichotomy refinement method. [#105]

0.2.0 (February 2024)

Added

  • Adding roi in user configuration file. [#23]
  • Adding step in uset configuration file. [#22]
  • Added margin calculation for the treatment chain with ROI image. [#27]
  • Added a notebook to demonstrate the use of the roi and the step. [#24]
  • Added create_datasets_from_inputs method to read image. [#34]
  • Added check_datasets to finish checking everything after reading the images. [#37]
  • Added row step and col step in matching_cost. [#26]

Fixed

  • Force python version >= 3.7. [#7]
  • Fix the code development tools. [#39]
  • Adaptation to new pandora compute_cost_volume method API. [#42]
  • Fix with new pandora check_dataset method. [#43]
  • Fix with new pandora check_disparities method. [#44]
  • Lighter interfaces containing disparities. [#35]
  • Correction doc. [#47]
  • Adapt with disparity_source attribute in xarray dataset. [#49]
  • Rename doc sources to docs source. [#51]
  • Replacing sys.exit by raises (pandora changes). [#58]
  • Fix readthedocs. [#50]
  • Fix warning for xarray.Dataset.dims. [#60]
  • Update with new validity_mask from pandora. [#62]

Changed

  • Adapt to setuptools 67. [#10]
  • Adapt to pandora version 1.5.0 . [#11]
  • Rename check_json to check_configuration. [#29]
  • Update pandora image read method call, read_img to create_dataset_from_inputs. [#31]
  • New format for disparity in the user configuration file. [#28]
  • Update user configuration file with new keys : "left" & "right". [#33]
  • Move allocate_cost_volume. [#56]
  • Replacing sys.exit by raises. [#59]
  • Update of the minimal version for python. [#61]
  • Alignment of margins with those of pandora. [#67]

0.1.0 (February 2022)

Added

  • First version of Pandora2D tools