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Statistics are most important
#percentage of pixels that are different (tolerance)
median, mean, min, max
Perhaps write diff to a png -- Issue with dimensionality (per timestamp, per band) max 10 files.
Location of differences
Which timestamp(s) failed
Which band(s) failed
bbox of differences as geojson (so you can crop)
it happens that changes are very concentrated
Extras
Numpy has something similar. We have unit tests that already print more informative messages.
Pipeline for cdse staging might not be configured yet for writing to s3 bucket. Ask @JeroenVerstraelen.
The text was updated successfully, but these errors were encountered:
Statistics are most important
#percentage of pixels that are different (tolerance)
median, mean, min, max
Perhaps write diff to a png -- Issue with dimensionality (per timestamp, per band) max 10 files.
Location of differences
Which timestamp(s) failed
Which band(s) failed
bbox of differences as geojson (so you can crop)
Extras
Numpy has something similar. We have unit tests that already print more informative messages.
Pipeline for cdse staging might not be configured yet for writing to s3 bucket. Ask @JeroenVerstraelen.
The text was updated successfully, but these errors were encountered: