Add benchmarks for scikit-image functions introduced in 22.08 #378
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omit functions only taking binary input from floating point tests in run-nv-bench-morphology.sh
refactor LabelBench and LabelAndImageBench to generate more realistic labels (previously 3D was not being handled properly)
grlee77
added
improvement
|
no need to immediately review this for the 22.08 release since we don't ship the benchmark scripts |
gigony
approved these changes
Oct 4, 2022
|
@gpucibot merge |
jakirkham
approved these changes
Oct 5, 2022
|
@gpucibot merge |
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This PR adds benchmarks for a few of the recently introduced functions.
It also uses more realistic nD label object generation for the segmentation benchmarks.