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example 4
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‎processing-mode/example4/data/moon.jpg‎

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‎processing-mode/example4/example4.py‎

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# Edge Detection Example
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#
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# Canny edge detection algorithm adapted from:
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# https://pyimagesearch.com/2015/04/06/zero-parameter-automatic-canny-edge-detection-with-python-and-opencv/
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#
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# Press 't', 'w', or any other key to set the edge detection mode.
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import traceback
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import numpy as np
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import cv2
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from jpype import JClass
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import py5_tools
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import py5
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def filter_image(img: py5.Py5Image, img_filtered: py5.Py5Image, mode: str):
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try:
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img.load_np_pixels()
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if mode == 'auto':
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sigma = 0.33
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median = np.median(img.np_pixels)
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lower_limit = int(max(0, (1 - sigma) * median))
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upper_limit = int(min(255, (1 + sigma) * median))
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elif mode == 'tight':
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lower_limit, upper_limit = 225, 250
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elif mode == 'wide':
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lower_limit, upper_limit = 10, 200
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img_array_gray = cv2.cvtColor(img.np_pixels, cv2.COLOR_BGR2GRAY)
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img_array_blurred = cv2.GaussianBlur(img_array_gray, (5, 5), 0)
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img_array_edges = cv2.Canny(
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img_array_blurred, lower_limit, upper_limit)
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img_filtered.set_np_pixels(img_array_edges, bands='L')
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except Exception as e:
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traceback.print_exc()
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return JClass('java.lang.RuntimeException')(str(e))
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py5_tools.register_processing_mode_key("filter_image", filter_image)
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# run the sketch in processing mode, specifying the Java class to instantiate
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py5.run_sketch(jclassname='test.Example4Sketch')

‎processing-mode/example4/java/pom.xml‎

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<?xml version="1.0" encoding="UTF-8"?>
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<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
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xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
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<modelVersion>4.0.0</modelVersion>
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<groupId>py5</groupId>
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<artifactId>py5-processing-mode-example4</artifactId>
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<version>0.1</version>
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<name>py5-processing-mode-example4</name>
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<url>https://py5coding.org/</url>
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<properties>
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<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
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<maven.compiler.source>17</maven.compiler.source>
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<maven.compiler.target>17</maven.compiler.target>
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<jarlocation>${env.CONDA_PREFIX}/lib/python3.10/site-packages/py5/jars</jarlocation>
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</properties>
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<dependencies>
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<dependency>
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<groupId>py5</groupId>
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<artifactId>py5-processing4</artifactId>
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<version>0.9.0.dev0</version>
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<scope>system</scope>
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<systemPath>${jarlocation}/core.jar</systemPath>
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</dependency>
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<dependency>
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<groupId>py5</groupId>
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<artifactId>py5-jogl</artifactId>
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<version>0.9.0.dev0</version>
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<scope>system</scope>
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<systemPath>${jarlocation}/jogl-all.jar</systemPath>
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</dependency>
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<dependency>
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<groupId>py5</groupId>
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<artifactId>py5</artifactId>
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<version>0.9.0.dev0</version>
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<scope>system</scope>
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<systemPath>${jarlocation}/py5.jar</systemPath>
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</dependency>
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</dependencies>
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<build>
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<plugins>
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<plugin>
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<groupId>org.apache.maven.plugins</groupId>
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<artifactId>maven-dependency-plugin</artifactId>
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<version>3.2.0</version>
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<executions>
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<execution>
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<id>copy</id>
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<phase>package</phase>
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<goals>
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<goal>copy</goal>
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</goals>
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</execution>
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</executions>
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<configuration>
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<artifactItems>
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<artifactItem>
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<groupId>py5</groupId>
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<artifactId>py5-processing-mode-example4</artifactId>
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<version>0.1</version>
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<type>jar</type>
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<overWrite>true</overWrite>
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<outputDirectory>${project.basedir}/../jars</outputDirectory>
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<destFileName>py5-processing-mode-example4.jar</destFileName>
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</artifactItem>
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</artifactItems>
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</configuration>
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</plugin>
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</plugins>
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</build>
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</project>

‎processing-mode/example4/java/src/main/java/test/Example4Sketch.java‎

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/**
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* Edge Detection Example
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*
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* Canny edge detection algorithm adapted from:
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* https://pyimagesearch.com/2015/04/06/zero-parameter-automatic-canny-edge-detection-with-python-and-opencv/
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*
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* Press 't', 'w', or any other key to set the edge detection mode.
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*/
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package test;
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import processing.core.PImage;
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import py5.core.SketchBase;
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public class Example4Sketch extends SketchBase {
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protected PImage img;
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protected PImage imgFiltered;
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protected String mode;
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public void settings() {
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size(640, 360);
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}
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public void setup() {
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mode = "auto";
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img = loadImage("moon.jpg");
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imgFiltered = createImage(img.width, img.height, RGB);
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py5Println("Press 't' for tight edge detection");
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py5Println("Press 'w' for wide edge detection");
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py5Println("Press any other key for auto edge detection");
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callPython("filter_image", img, imgFiltered, mode);
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}
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public void draw() {
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image(img, 0, 0);
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image(imgFiltered, width/2, 0);
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}
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public void keyPressed() {
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if (key == 't') {
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mode = "tight";
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} else if (key == 'w') {
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mode = "wide";
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} else {
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mode = "auto";
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}
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py5Println("Edge Detection Mode set to: " + mode);
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callPython("filter_image", img, imgFiltered, mode);
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}
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}

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