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When performing a contour detection on a ROI (which is a NumPy masked array in DataLab's model), some results still appear outside the ROI and should be ignored:
Now, thanks a workaround, the erroneous contours are filtered out.
A new test module cdl.tests.features.images.contour_fabryperot_app has been added to test the contour detection feature on a Fabry-Perot image (thanks to @emarin2642 for the contribution)
In DataLab, the "Computing > Contour detection" feature is based on scikit-image
skimage.measure.find_contours
as described in this tutorial.When performing a contour detection on a ROI (which is a NumPy masked array in DataLab's model), some results still appear outside the ROI and should be ignored:
This issue is related to Issue #32.
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