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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.
Member
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Hi @SethPolydore, I suggest refactoring the line causing the error in the spmask = pcv.color_clustering_segmentation(img=img, project_name=os.path.join(TEST_DATA, "temp_testing_multi"))
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Codecov Report
@@ Coverage Diff @@
## master #592 +/- ##
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- Coverage 100.00% 99.64% -0.36%
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Files 142 144 +2
Lines 6482 6790 +308
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+ Hits 6482 6766 +284
- Misses 0 24 +24
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add internal documentation, remove unused import statements
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Hmm I added another two tests to try to cover L53 in |
--------------Changes---------------- This is the update of the Color Clustering Train and the Color Clustering Segmentation functions. The functions can now use both gmm and Mini-Batch-Kmeans to segment images into different groups based on color. I changed the names of the function from "gmm" in the Learn subpackage and "gmm_segmentation" back to "Color_Clustering_Train" and "Color_Clustering_Segmentation." Color_Clustering_train can now output sample pixel values for each binary mask. Color_Clustering_Segmentation can now use inputs of sample pixels in order to get only certain binary masks. In both functions, using removing "gray" pixels is no longer automatic. It's also far faster than before. Type of update: New feature or feature enhancement
Fixed to remove unneeded python script.
…ter/plantcv into Add-Color-Clustering
Updated test and formatted scripts to PEP8 standards.
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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.