Color_clustering_alhorithm

[SethPolydore]

contains the scripts for the functionsto automatically segment images by color. There are two scripts: color_cluster_train (in the learn subpackage) which trains the model that does the segmentation and color_cluster_segmentation which does the actual segmenting.

Purpose Adds new functionalities.

[nfahlgren]

Hi @SethPolydore, I suggest refactoring the line causing the error in the tests.py file to:

spmask = pcv.color_clustering_segmentation(img=img, project_name=os.path.join(TEST_DATA, "temp_testing_multi"))

os.path.join will use the appropriate OS-specific file path separators.

[codecov[bot]]

Codecov Report

Merging #592 (56c21cb) into master (260aa20) will decrease coverage by 0.35%. The diff coverage is 92.20%.

@@             Coverage Diff             @@
##            master     #592      +/-   ##
===========================================
- Coverage   100.00%   99.64%   -0.36%     
===========================================
  Files          142      144       +2     
  Lines         6482     6790     +308     
===========================================
+ Hits          6482     6766     +284     
- Misses           0       24      +24     

Flag	Coverage Δ
unittests	99.64% <92.20%> (-0.36%)	:arrow_down:

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
plantcv/plantcv/__init__.py	100.00% <ø> (ø)
plantcv/plantcv/color_clustering_segmentation.py	89.38% <89.38%> (ø)
plantcv/learn/color_clustering_train.py	93.78% <93.78%> (ø)
plantcv/learn/__init__.py	100.00% <100.00%> (ø)
plantcv/__init__.py	100.00% <0.00%> (ø)

[HaleySchuhl]

Hmm I added another two tests to try to cover L53 in gmm.py and L47 in gmm_classifier.py but when I try to test them locally they get hung up on the case where remove is empty. I think I need to do more testing in Jupyter to see why it freezes up under these additional tests.

[HaleySchuhl]

Archiving