Borda / pyImSegm

Image segmentation - general superpixel segmentation & center detection & region growing
https://borda.github.io/pyImSegm
BSD 3-Clause "New" or "Revised" License
373 stars 73 forks source link

cython & label hist. #19

Closed Borda closed 5 years ago

Borda commented 5 years ago
codecov[bot] commented 5 years ago

Codecov Report

Merging #19 into master will decrease coverage by 0.03%. The diff coverage is 97.67%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master      #19      +/-   ##
==========================================
- Coverage   96.68%   96.65%   -0.04%     
==========================================
  Files          26       26              
  Lines        4528     4512      -16     
==========================================
- Hits         4378     4361      -17     
- Misses        150      151       +1
Impacted Files Coverage Δ
imsegm/superpixels.py 97.67% <ø> (ø) :arrow_up:
imsegm/annotation.py 97.77% <ø> (ø) :arrow_up:
imsegm/utilities/experiments.py 95.06% <100%> (ø) :arrow_up:
imsegm/ellipse_fitting.py 96.33% <100%> (+0.01%) :arrow_up:
imsegm/graph_cuts.py 98.46% <100%> (ø) :arrow_up:
imsegm/tests/test_region-growing.py 97.67% <100%> (-0.06%) :arrow_down:
imsegm/utilities/drawing.py 95.44% <100%> (-0.11%) :arrow_down:
imsegm/region_growing.py 97.99% <100%> (ø) :arrow_up:
imsegm/labeling.py 96.72% <100%> (ø) :arrow_up:
imsegm/utilities/data_io.py 95.97% <100%> (ø) :arrow_up:
... and 2 more

Continue to review full report at Codecov.

Legend - Click here to learn more Δ = absolute <relative> (impact), ø = not affected, ? = missing data Powered by Codecov. Last update 3a9daaa...b25cf35. Read the comment docs.