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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

Cross-Validation #17

Closed Borda closed 5 years ago

codecov[bot] commented 5 years ago

Codecov Report

Merging #17 into master will decrease coverage by <.01%. The diff coverage is 100%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master      #17      +/-   ##
==========================================
- Coverage   96.26%   96.25%   -0.01%     
==========================================
  Files          25       25              
  Lines        4547     4542       -5     
==========================================
- Hits         4377     4372       -5     
  Misses        170      170
Impacted Files Coverage Δ
imsegm/classification.py 96.53% <100%> (-0.04%) :arrow_down:

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 a6dad15...ef488ef. Read the comment docs.

codecov[bot] commented 5 years ago

Codecov Report

Merging #17 into master will increase coverage by 0.15%. The diff coverage is 100%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master      #17      +/-   ##
==========================================
+ Coverage   96.26%   96.41%   +0.15%     
==========================================
  Files          25       25              
  Lines        4547     4517      -30     
==========================================
- Hits         4377     4355      -22     
+ Misses        170      162       -8
Impacted Files Coverage Δ
imsegm/descriptors.py 96.36% <100%> (+0.99%) :arrow_up:
imsegm/region_growing.py 97.99% <100%> (ø) :arrow_up:
imsegm/classification.py 96.53% <100%> (-0.04%) :arrow_down:

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 a6dad15...a498385. Read the comment docs.