This tool is capable of orthorectifying individual images (or all images) from an existing ODM reconstruction.
Use the build scripts build_release and build_debug to compile natively.
Otherwise you can build the docker image:
docker build -t digipa/orthorectify . After running a reconstruction using ODM:
Orthorectify /dataset-path With docker
docker run -it -v /dataset-path:/dataset digipa/orthorectify /dataset This will start the orthorectification process for all images in the dataset. See additional flags you can pass at the end of the command above:
This tool is capable of orthorectifying individual images (or all images) from an existing ODM reconstruction. Usage: Orthorectify [OPTION...] positional parameters -e, --dem arg Absolute path to DEM to use to orthorectify images (default: odm_dem/dsm.tif) --no-alpha Don't output an alpha channel -i, --interpolation arg Type of interpolation to use to sample pixel values (nearest, bilinear) (default: bilinear) -o, --outdir arg Output directory where to store results (default: orthorectified) -l, --image-list arg Path to file that contains the list of image filenames to orthorectify. By default all images in a dataset are processed (default: img_list.txt) --images arg Comma-separated list of filenames to rectify. Use as an alternative to --image-list -s, --skip-visibility-test Skip visibility testing (faster but leaves artifacts due to relief displacement) -t, --threads arg Number of threads to use (-1 = all) (default: -1) -v, --verbose Verbose logging -h, --help Print usage Help us improve this module! We could add:
- Merging of multiple orthorectified images (blending, filtering, seam leveling)
- Faster visibility test
- Different methods for orthorectification (direct)
- GPU Support