{ "cells": [ { "cell_type": "markdown", "metadata": { "collapsed": true, "jupyter": { "outputs_hidden": true } }, "source": [ "# Machine Learning Tutorial \n", "\n", "Tutorial Created by: Haley Schuhl\n", "\n", "Date: Jul 24, 2023\n", "\n", "Tutorial Updated by: ZhakeYa D. Hawkins\n", "\n", "Date: July 16, 2025\n", "\n", "The Naive Bayes multiclass approach is an extension of the Naive Bayes approach. It can be trained to output binary images given an input color image. Unlike the Naive Bayes method, the Naive Bayes multiclass approach can be trained to classify two or more classes, defined by the user. Additionally, the Naive Bayes multiclass method is trained using colors sparsely sampled from a images rather than the need to label all pixels in a given image.\n", "\n", "To train the classifier, we need to build a table of red, green, and blue color values for pixels sampled evenly from each class. The idea here is to collect a relevant sample of pixel color data for each class. The size of the sample needed to build robust probability density functions for each class will depend on a number of factors, including the variability in class colors and imaging quality/reproducibility. To collect pixel color data we currently use the Pixel Inspection Tool in [ImageJ](https://imagej.net/ij/). Each column in the tab-delimited table is a feature class (in this example, plant, pustule, chlorosis, or background)\n", "and each cell is a comma-separated red, green, and blue triplet for a pixel.\n", "\n", "\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Once a satisfactory sample of pixels is collected, save the table as a tab-delimited text file. Use `plantcv-train` to use the pixel samples to output probability density functions (PDFs)\n", "for each class." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "plantcv-train naive_bayes_multiclass --file pixel_samples.txt --outfile naive_bayes_pdfs.txt --plots" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The output file from `plantcv-train` will contain one row for each color channel (hue, saturation, and value) for\n", "each class. The first and second column are the class and channel label, respectively. The\n", "remaining 256 columns contain the p-value from the PDFs for each intensity value observable in an 8-bit image (0-255).\n", "\n", "Once we have the `plantcv-train` output file, we can classify pixels in a color image in PlantCV. In the example image for this tutorial we have already collected pixels and created the probability density functions for each class. " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Import libraries\n", "%matplotlib inline\n", "import numpy as np\n", "from plantcv import plantcv as pcv\n", "from plantcv.parallel import WorkflowInputs" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Input/Output options\n", "args = WorkflowInputs(\n", " #images=[\"img/color_image.jpg\"], \n", " images=[\"./img/WheatRust_RGB_image.jpg\"], \n", " names=\"image1\",\n", " result=\"ml_tutorial_results.json\",\n", " outdir=\".\",\n", " writeimg=True,\n", " debug=\"plot\"\n", " )\n", "\n", "# Set debug as a global parameter \n", "pcv.params.debug = args.debug\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Read image in\n", "\n", "img, path, filename = pcv.readimage(filename=args.image1)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { 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", 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", "text/html": [ "\n", "
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The function below will \n", "# print out 4 masks (plant, pustule, chlorosis, background)\n", "\n", "# Inputs: \n", "# rgb_img - RGB image data \n", "# pdf_file - Output file containing PDFs from `plantcv-train.py`\n", "mask = pcv.naive_bayes_classifier(rgb_img=img, \n", " pdf_file=\"./img/machine_learning.txt\")\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# We can apply each mask over the original image to more accurately \n", "# see what got masked\n", "\n", "\n", "plant_img = pcv.apply_mask(mask=(mask['plant']), img=img, mask_color='black')\n", "pustule_img = pcv.apply_mask(mask=(mask['pustule']), img=img, mask_color='black')\n", "chlorosis_img = pcv.apply_mask(mask=(mask['chlorosis']), img=img, mask_color='black')\n", "background_img = pcv.apply_mask(mask=(mask['background']), img=img, mask_color='black')\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Write image and mask with the same name to the path \n", "# specified (creates two folders within the path if they do not exist).\n", "\n", "plant_maskpath, plant_analysis_images = pcv.output_mask(img=img, mask=mask['plant'], \n", " filename='plant.png', mask_only=True)\n", "pust_maskpath, pust_analysis_images = pcv.output_mask(img=img, mask=mask['pustule'], \n", " filename='pustule.png', mask_only=True)\n", "chlor_maskpath, chlor_analysis_images = pcv.output_mask(img=img, mask=mask['chlorosis'], \n", " filename='chlorosis.png', mask_only=True)\n", "bkgrd_maskpath, bkgrd_analysis_images = pcv.output_mask(img=img, mask=mask['background'], \n", " filename='background.png', mask_only=True)\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "af6396e2df5b4d688b7947df3917fa38", "version_major": 2, "version_minor": 0 }, "image/png": 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", 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\n", " " ], "text/plain": [ "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# To visually see all of these masks together we can plot them with plant set to green,\n", "# chlorosis set to gold, and pustule set to red.\n", "\n", "classified_img = pcv.visualize.colorize_masks(masks=[mask['plant'], mask['pustule'],\n", " mask['chlorosis'], mask['background']],\n", " colors=['dark green', 'red', 'gold', 'gray'])\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Calculate percentage of the plant found to be diseased \n", "\n", "sick_plant = np.count_nonzero(mask['pustule']) + np.count_nonzero(mask['chlorosis'])\n", "healthy_plant = np.count_nonzero(mask['plant'])\n", "percent_diseased = sick_plant / (sick_plant + healthy_plant)\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Create a new measurement (gets saved to the outputs class) \n", "\n", "pcv.outputs.add_observation(sample='default', variable='percent_diseased', \n", " trait='percent of plant detected to be diseased',\n", " method='ratio of pixels', scale='percent', datatype=float,\n", " value=percent_diseased, label='percent')\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.40697462114296146" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Data stored to the outputs class can be accessed using the variable name\n", "pcv.outputs.observations['default']['percent_diseased']['value']" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# save_results\n", "pcv.outputs.save_results(filename=args.result)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To view and/or download the text file output (saved in JSON format)...\n", "1) To see the text file with data that got saved out, click “File” tab in top left corner.\n", "2) Click “Open…”\n", "3) CLick on the file named “ml_tutorial_results.txt”\n", "\n", "Check out documentation on how to [convert JSON](https://plantcv.readthedocs.io/en/latest/tools/#convert-output-json-data-files-to-csv-tables) format output into table formatted output. Depending on the analysis steps a PlantCV user may have two CSV files (single value traits and multivalue traits). \n" ] } ], "metadata": { "kernelspec": { "display_name": "plantcv", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.13" } }, "nbformat": 4, "nbformat_minor": 4 }