0.0.1

Deep-Image-Matching v0.
This is an old and simple, but working, version of DIM for internal use.
Unless you have a very good reason to use this release, use a more recent version of DIM.

1.2.4

• First release on PyPi
• Updated imports of all modules inside DIM
• Update Config management to run DIM from notebooks
• Updated function export_to_db and export_to_openmvg to read the cameras config file within the function (note that the function's arguments are changed as the file path now is passed instead of the configuration dictionary)
• Added demo notebook
• Added notebook to perform dense matching and triangulation from known cameras poses
• Added notebook to perform georeferencing of the dense reconstruction based on GCP (experimental)
• Improved dense matching with RoMa
• Added tile preselection with RoMa
• Updated tests: now the main.py script is not required anymore to run the tests
• Updated COLMAPdatabase class with new methods for reading data inside the database and using context manager.
• Various small improvements

1.0.0

New features:

• Release version 1.0.0
• Export the solution to OpenMVG
• Export the solution to MICMAC
• Possibility to define different camera models in a yaml file for all or subsets of images
• Graph visualization (thanks @gperda)
• Docker installation (thanks @kauevestena)
• Exapanded documentation with "usage DIM with" section, examples and modules API.
• Re-implemented Se2-LOFTR for full image processing (not for matching by tiles).
• Update CLI parser
• Added export of images with keypoints and matches in debug mode (-V option in CLI)
• Weights of the models are automatically downloaded from original repos.
• Added scripts for advanced processing
• Updated unit tests and Github actions
• Several bugfixes and small improvements

First contributions:

• @gperda
• @kauevestena
• @nneilsutherland
• @elliestath

0.1.0

This is the first stable release of Deep-Image-Matching.