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JuliaImages / ImageBinarization.jl

A Julia package of algorithms for analyzing images and automatically binarizing them into background and foreground.
MIT License
35 stars 8 forks source link

Restructured Repository #2

Closed TheCosmicStorm closed 5 years ago

TheCosmicStorm commented 5 years ago

Copied all changes across from old repository so that I could restructure a mew repository. Changes include

codecov[bot] commented 5 years ago

Codecov Report

Merging #2 into master will decrease coverage by 43.8%. The diff coverage is 5.88%.

Impacted file tree graph

@@             Coverage Diff             @@
##           master       #2       +/-   ##
===========================================
- Coverage   82.14%   38.33%   -43.81%     
===========================================
  Files           5        7        +2     
  Lines          28       60       +32     
===========================================
  Hits           23       23               
- Misses          5       37       +32
Impacted Files Coverage Δ
src/adaptive_threshold.jl 0% <0%> (ø)
src/util.jl 0% <0%> (ø)
src/ImageBinarization.jl 100% <100%> (ø) :arrow_up:

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 f72ef81...4c4eb1a. Read the comment docs.

codecov[bot] commented 5 years ago

Codecov Report

Merging #2 into master will decrease coverage by 43.8%. The diff coverage is 0%.

Impacted file tree graph

@@             Coverage Diff             @@
##           master       #2       +/-   ##
===========================================
- Coverage   82.14%   38.33%   -43.81%     
===========================================
  Files           5        7        +2     
  Lines          28       60       +32     
===========================================
  Hits           23       23               
- Misses          5       37       +32
Impacted Files Coverage Δ
src/adaptive_threshold.jl 0% <0%> (ø)
src/util.jl 0% <0%> (ø)

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 f72ef81...81c59f2. Read the comment docs.