I/O Plugin Infrastructure
  • References/Python/scikit-image/Guide

I/O Plugin Infrastructure A plugin consists of two files, the source and the descriptor .ini. Let’s say we’d like to provide a plugin for imshow using matplotlib

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orb
  • References/Python/scikit-image/API Reference/feature

ORB class skimage.feature.ORB(downscale=1.2, n_scales=8, n_keypoints=500, fast_n=9, fast_threshold=0.08, harris_k=0.04)

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compare-psnr
  • References/Python/scikit-image/API Reference/measure

compare_psnr skimage.measure.compare_psnr(im_true, im_test, dynamic_range=None)

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ellipsoid-stats
  • References/Python/scikit-image/API Reference/draw

ellipsoid_stats skimage.draw.ellipsoid_stats(a, b, c)

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pop-bilateral
  • References/Python/scikit-image/API Reference/filters.rank

pop_bilateral skimage.filters.rank.pop_bilateral(image, selem, out=None, mask=None, shift_x=False, shift_y=False, s0=10

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rectangle
  • References/Python/scikit-image/API Reference/morphology

rectangle skimage.morphology.rectangle(width, height, dtype=)

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daisy
  • References/Python/scikit-image/API Reference/feature

daisy skimage.feature.daisy(img, step=4, radius=15, rings=3, histograms=8, orientations=8, normalization='l1', sigmas=None, ring_radii=None

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module-skimage.transform
  • References/Python/scikit-image/API Reference/transform

Module: transform

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painttool
  • References/Python/scikit-image/API Reference/viewer.canvastools

PaintTool class skimage.viewer.canvastools.PaintTool(manager, overlay_shape, radius=5, alpha=0.3, on_move=None, on_release=None

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sum-percentile
  • References/Python/scikit-image/API Reference/filters.rank

sum_percentile skimage.filters.rank.sum_percentile(image, selem, out=None, mask=None, shift_x=False, shift_y=False, p0=0

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