Merge branch 'release-4.0' into rename_to_ksize

docs/tools.md

@@ -65,6 +65,36 @@ where it is created by running `plantcv.parallel.process_results` on a directory
 [hierarchical data structure](output_measurements.md) is convenient for flexible data processing but not for downstream
 analysis. The tool creates an output CSV file. The format of this table is one row per value/label (i.e. R long format). 
 
+#### Tabulate Naive Bayes Classes
+
+`plantcv-utils tabulate_bayes_classes` is a command-line tool for organizing pixel RGB values into a table for naive Bayes
+training with the command. 
+
+```
+usage: plantcv-utils tabulate_bayes_classes [-h] -i INFILE -o OUTFILE
+
+options:
+  -h, --help            show this help message and exit
+  -i INFILE, --infile INFILE
+                        Input text file.
+  -o OUTFILE, --outfile OUTFILE
+                        Output tab-delimited table file.
+
+```
+
+The input file should have class names preceded by the "#" character. RGB values can be pasted directly from ImageJ without
+reformatting. E.g.:
+
+```
+#plant
+96,154,72	95,153,72	91,155,71	91,160,70	90,155,67	92,152,66	92,157,70
+54,104,39	56,104,38	59,106,41	57,105,43	54,104,40	54,103,35	56,101,39	58,99,41	59,99,41
+#background
+114,127,121	117,135,125	120,137,131	132,145,138	142,154,148	151,166,158	160,182,172
+115,125,121	118,131,123	122,132,135	133,142,144	141,151,152	150,166,158	159,179,172
+
+```
+
 **Source Code:** [Here](https://github.com/danforthcenter/plantcv/blob/main/plantcv/utils/converters.py)
 
 
@@ -101,4 +131,3 @@ process metadata and execute custom workflows on each image in a dataset. More d
 [Workflow Parallelization Tutorial](pipeline_parallel.md).
 
 **Source Code:** [Here](https://github.com/danforthcenter/plantcv/blob/main/plantcv/parallel/cli.py)
-