test and readme
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8
pom.xml
8
pom.xml
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<version>3.3.3</version>
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<classifier>natives-windows</classifier>
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</dependency>
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<!-- https://mvnrepository.com/artifact/org.junit.jupiter/junit-jupiter-api -->
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<dependency>
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<groupId>org.junit.jupiter</groupId>
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<artifactId>junit-jupiter-api</artifactId>
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<version>6.1.0-M1</version>
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<scope>test</scope>
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</dependency>
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</dependencies>
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</project>
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17
readme.md
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17
readme.md
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# SWT-CCTV
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A rather simple CCTV software which operates with Java.
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If you want to build this project on yourself, you will need IntelliJ (or any other IDE) and Maven!
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## Dependencies:
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- Webcam by Sarxos
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- SWT
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- _lwjgl (with opengl)_ → This is important for our goals of rendering on the GPU.
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- junit for testing stuff
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### Future Plans:
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They arent too big, i want one thing more and that is some more utilities in the camera window.
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Also some Network streaming but i am too lazy to do that
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### Author(s):
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- rattatwinko
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85
src/test/java/AutoGainProcessorTest.java
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85
src/test/java/AutoGainProcessorTest.java
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import io.swtc.proccessing.AutoGainProcessor;
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import org.junit.jupiter.api.BeforeEach;
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import org.junit.jupiter.api.DisplayName;
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import org.junit.jupiter.api.Test;
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import java.util.Arrays;
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import static org.junit.jupiter.api.Assertions.assertArrayEquals;
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import static org.junit.jupiter.api.Assertions.assertTrue;
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/*
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* This is a pure logic class so testing this will be fine, all other classes arent really logic classes, they handle more
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* of displaying stuff.
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* */
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class AutoGainProcessorTest {
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private AutoGainProcessor processor;
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@BeforeEach
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void setUp() {
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processor = new AutoGainProcessor();
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}
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@Test
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@DisplayName("Return 1.0 gain for a gray image")
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void testNeutralGray() {
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// Create an array of 16 pixels, all middle gray (128, 128, 128)
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// Hex: 0xFF808080 ; We ignore Alpha all together in our code. so yeah
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int grayPixel = (255 << 24) | (128 << 16) | (128 << 8) | 128;
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int[] pixels = new int[16];
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Arrays.fill(pixels, grayPixel);
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float[] gains = processor.calculateAutoGains(pixels);
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// R, G, B should all be 1.0 because they are already equal to the average
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assertArrayEquals(new float[]{1.0f, 1.0f, 1.0f}, gains, 0.001f);
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}
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@Test
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@DisplayName("Should boost a weak color channel")
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void testColorCorrection() {
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/*
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Create an image that is "too red"
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Red = 200, Green = 100, Blue = 100
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grayAvg = (200 + 100 + 100) / 3 = 133.33
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Red gain = 133.33 / 200 = 0.66
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Green gain = 133.33 / 100 = 1.33
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*/
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int reddishPixel = (200 << 16) | (100 << 8) | 100;
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int[] pixels = {reddishPixel, reddishPixel, reddishPixel, reddishPixel};
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float[] gains = processor.calculateAutoGains(pixels);
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assertTrue(gains[0] < 1.0f, "Red gain should decrease");
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assertTrue(gains[1] > 1.0f, "Green gain should increase");
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assertTrue(gains[2] > 1.0f, "Blue gain should increase");
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}
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@Test
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@DisplayName("Cap max gain at 2.0")
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void testGainCapping() {
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// Extreme case, very little blue
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// Red=100, Green=100, Blue=10
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// grayAvg = 70. Blue gain would be 70/10 = 7.0, but should be capped at 2.0
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int lowBluePixel = (100 << 16) | (100 << 8) | 10;
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int[] pixels = new int[8];
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for (int i = 0; i < 8; i++) pixels[i] = lowBluePixel;
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float[] gains = processor.calculateAutoGains(pixels);
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assertArrayEquals(new float[]{0.7f, 0.7f, 2.0f}, gains, 0.001f);
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}
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@Test
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@DisplayName("Handle a empty / black image safely")
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void testEmptyAndBlack() {
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// Test empty array
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assertArrayEquals(new float[]{1f, 1f, 1f}, processor.calculateAutoGains(new int[0]));
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// Test total black (grayAvg will be 0)
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int[] blackPixels = {0, 0, 0, 0};
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assertArrayEquals(new float[]{1f, 1f, 1f}, processor.calculateAutoGains(blackPixels));
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}
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}
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