Python
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Introduction
When a script performs a "batch process" it does so by either: |
denoise --crossframe -v variance -f default.filter.json FULLPATH_TO_IMAGES_DIR/IMAGE_NAME_variance.{0001,0002,0003}.exr
The command consists of five parts, |
The purpose of the "run_denoiser" script is to reference a sequence of openexr image files so
that Disney's utility program named H:/maya/projects/images/test/v001_t01/test__shotCam_beauty_variance.0001.exr H:/maya/projects/images/test/v001_t01/test__shotCam_beauty_variance.0002.exr H:/maya/projects/images/test/v001_t01/test__shotCam_beauty_variance.0003.exr H:/maya/projects/images/test/v001_t01/test__shotCam_beauty_variance.0004.exr H:/maya/projects/images/test/v001_t01/test__shotCam_beauty_variance.0005.exr After the "run_denoiser" script has finished filtering the following images would be created. H:/maya/projects/images/test/v001_t01/test__shotCam_beauty_filtered.0001.exr H:/maya/projects/images/test/v001_t01/test__shotCam_beauty_filtered.0002.exr H:/maya/projects/images/test/v001_t01/test__shotCam_beauty_filtered.0003.exr H:/maya/projects/images/test/v001_t01/test__shotCam_beauty_filtered.0004.exr H:/maya/projects/images/test/v001_t01/test__shotCam_beauty_filtered.0005.exr Algorithm
The following algorithm, operating recipe, assumes the "make_denoiser.py" script has been
saved in the same directory as the unfiltered (varience) openexr images. |