Merge branch 'main' into deleteZone

backend/src/main/java/pdl/backend/Algorithm.java

@@ -1,56 +0,0 @@
-package pdl.backend;
-
-import java.util.ArrayList;
-
-import org.springframework.http.HttpStatus;
-import org.springframework.web.server.ResponseStatusException;
-
-public class Algorithm {
-	private final String name;
-	private final String path;
-	private final ArrayList<Parameter> parameters;
-
-	public Algorithm(String name, String path) {
-		this.name = name;
-		this.path = path;
-		this.parameters = new ArrayList<>();
-		switch (path) {
-			case "changeLuminosity":
-				Parameter param1 = new Parameter("delta", "delta", -255, 255, 1);
-				this.parameters.add(param1);
-				break;
-			case "histogram":
-				break;
-			case "colorFilter":
-				Parameter param2 = new Parameter("hue", "Teinte", 0, 359, 1);
-				this.parameters.add(param2);
-				break;
-			case "meanFilter":
-				Parameter param3 = new Parameter("size", "Taille du filtre", 1, 101, 2);
-				this.parameters.add(param3);
-				break;
-			case "gaussienFilter":
-				// TODO
-				// Parameter param4 = new Parameter("size", "Taille du filtre", 1, 101, 2);
-				// this.parameters.add(param4);
-				break;
-			case "contours":
-				break;
-			default:
-				throw new ResponseStatusException(HttpStatus.BAD_REQUEST, "Invalid path");
-
-		}
-	}
-
-	public String getName() {
-		return this.name;
-	}
-
-	public String getPath() {
-		return this.path;
-	}
-
-	public ArrayList<Parameter> getParameters() {
-		return this.parameters;
-	}
-}

backend/src/main/java/pdl/backend/Algorithm/Algorithm.java

@@ -0,0 +1,59 @@
+package pdl.backend.Algorithm;
+
+import java.util.List;
+
+import com.fasterxml.jackson.databind.ObjectMapper;
+import com.fasterxml.jackson.databind.node.ArrayNode;
+import com.fasterxml.jackson.databind.node.ObjectNode;
+
+import boofcv.struct.image.GrayU8;
+import boofcv.struct.image.Planar;
+import pdl.backend.Algorithm.Parameters.Parameter;
+import pdl.backend.Algorithm.Parameters.ParameterNullPointerException;
+
+public class Algorithm {
+	private final String name;
+	private final String path;
+	private final List<Parameter> parameters;
+	private final AlgorithmFunctionInterface function;
+
+	public Algorithm(String name, String path, List<Parameter> parameters, AlgorithmFunctionInterface function) {
+		this.name = name;
+		this.path = path;
+		this.parameters = parameters;
+		this.function = function;
+	}
+
+	public void apply(Planar<GrayU8> image) {
+		List<Object> para = this.parameters.stream().map(p -> p.getValue()).toList();
+		for (Object p : para) {
+			if (p == null) {
+				throw new ParameterNullPointerException("Parameter not set");
+			}
+		}
+		this.function.apply(image, para);
+	}
+
+	public String getName() {
+		return this.name;
+	}
+
+	public String getPath() {
+		return this.path;
+	}
+
+	public List<Parameter> getParameters() {
+		return this.parameters;
+	}
+
+	public ObjectNode getNode(ObjectMapper mapper) {
+		ObjectNode node = mapper.createObjectNode();
+		node.put("name", this.getName());
+		node.put("path", this.getPath());
+		ArrayNode parameters = node.putArray("parameters");
+		for (Parameter p : this.getParameters()) {
+			parameters.add(p.getNode(mapper));
+		}
+		return node;
+	}
+}

backend/src/main/java/pdl/backend/Algorithm/AlgorithmFunctionInterface.java

@@ -0,0 +1,10 @@
+package pdl.backend.Algorithm;
+
+import java.util.List;
+
+import boofcv.struct.image.GrayU8;
+import boofcv.struct.image.Planar;
+
+public interface AlgorithmFunctionInterface {
+	void apply(Planar<GrayU8> image, List<Object> parameters);
+}

backend/src/main/java/pdl/backend/Algorithm/Parameters/DoubleParameter.java

@@ -0,0 +1,42 @@
+package pdl.backend.Algorithm.Parameters;
+
+import com.fasterxml.jackson.databind.ObjectMapper;
+import com.fasterxml.jackson.databind.node.ObjectNode;
+
+public class DoubleParameter extends Parameter {
+	private final double min;
+	private final double max;
+	private final double step;
+
+	public DoubleParameter(String name, String displayName, double min, double max, double step) {
+		super(name, displayName, "range");
+		this.max = max;
+		this.min = min;
+		this.step = step;
+	}
+
+	public double getMin() {
+		return this.min;
+	}
+
+	public double getMax() {
+		return this.max;
+	}
+
+	public double getStep() {
+		return this.step;
+	}
+
+	@Override
+	public void setValue(String value) {
+		super.setValueObject(Double.parseDouble(value));
+	}
+
+	public ObjectNode getNode(ObjectMapper mapper) {
+		ObjectNode node = super.getNode(mapper);
+		node.put("min", this.min);
+		node.put("max", this.max);
+		node.put("step", this.step);
+		return node;
+	}
+}

backend/src/main/java/pdl/backend/Algorithm/Parameters/IntegerParameter.java

@@ -0,0 +1,42 @@
+package pdl.backend.Algorithm.Parameters;
+
+import com.fasterxml.jackson.databind.ObjectMapper;
+import com.fasterxml.jackson.databind.node.ObjectNode;
+
+public class IntegerParameter extends Parameter {
+	private final int min;
+	private final int max;
+	private final int step;
+
+	public IntegerParameter(String name, String displayName, int min, int max, int step) {
+		super(name, displayName, "range");
+		this.max = max;
+		this.min = min;
+		this.step = step;
+	}
+
+	public int getMin() {
+		return this.min;
+	}
+
+	public int getMax() {
+		return this.max;
+	}
+
+	public int getStep() {
+		return this.step;
+	}
+
+	@Override
+	public void setValue(String value) {
+		super.setValueObject(Integer.parseInt(value));
+	}
+
+	public ObjectNode getNode(ObjectMapper mapper) {
+		ObjectNode node = super.getNode(mapper);
+		node.put("min", this.min);
+		node.put("max", this.max);
+		node.put("step", this.step);
+		return node;
+	}
+}

backend/src/main/java/pdl/backend/Algorithm/Parameters/Parameter.java

@@ -0,0 +1,49 @@
+package pdl.backend.Algorithm.Parameters;
+
+import com.fasterxml.jackson.databind.ObjectMapper;
+import com.fasterxml.jackson.databind.node.ObjectNode;
+
+public abstract class Parameter {
+	private final String name;
+	private final String displayName;
+	private final String type;
+	private Object value;
+
+	public Parameter(String name, String displayName, String type) {
+		this.name = name;
+		this.displayName = displayName;
+		this.type = type;
+	}
+
+	public String getName() {
+		return this.name;
+	}
+
+	public String getDisplayName() {
+		return this.displayName;
+	}
+
+	public String getType() {
+		return this.type;
+	}
+
+	public ObjectNode getNode(ObjectMapper mapper) {
+		ObjectNode node = mapper.createObjectNode();
+		node.put("name", this.name);
+		node.put("displayName", this.displayName);
+		node.put("type", this.type);
+		return node;
+	}
+
+	public void setValueObject(Object value) {
+		this.value = value;
+	}
+
+	public void setValue(String value) {
+		this.value = value;
+	}
+
+	public Object getValue() {
+		return this.value;
+	}
+}

backend/src/main/java/pdl/backend/Algorithm/Parameters/ParameterNullPointerException.java

@@ -0,0 +1,7 @@
+package pdl.backend.Algorithm.Parameters;
+
+public class ParameterNullPointerException extends NullPointerException {
+	public ParameterNullPointerException(String message) {
+		super(message);
+	}
+}

backend/src/main/java/pdl/backend/Algorithm/Parameters/SelectParameter.java

@@ -0,0 +1,33 @@
+package pdl.backend.Algorithm.Parameters;
+
+import com.fasterxml.jackson.databind.ObjectMapper;
+import com.fasterxml.jackson.databind.node.ArrayNode;
+import com.fasterxml.jackson.databind.node.ObjectNode;
+
+public class SelectParameter extends Parameter {
+	private final String[] options;
+
+	public SelectParameter(String name, String displayName, String[] options) {
+		super(name, displayName, "select");
+		this.options = options;
+	}
+
+	public String[] getOptions() {
+		return this.options;
+	}
+
+	@Override
+	public void setValue(String value) {
+		super.setValueObject(value);
+	}
+
+	public ObjectNode getNode(ObjectMapper mapper) {
+		ObjectNode node = super.getNode(mapper);
+		ArrayNode optionsNode = mapper.createArrayNode();
+		for (String option : this.options) {
+			optionsNode.add(option);
+		}
+		node.set("options", optionsNode);
+		return node;
+	}
+}

backend/src/main/java/pdl/backend/AlgorithmController.java

@@ -1,57 +0,0 @@
-package pdl.backend;
-
-import java.util.ArrayList;
-
-import com.fasterxml.jackson.databind.ObjectMapper;
-import com.fasterxml.jackson.databind.node.ArrayNode;
-import com.fasterxml.jackson.databind.node.ObjectNode;
-
-import org.springframework.beans.factory.annotation.Autowired;
-import org.springframework.web.bind.annotation.GetMapping;
-import org.springframework.web.bind.annotation.ResponseBody;
-import org.springframework.web.bind.annotation.RestController;
-
-@RestController
-public class AlgorithmController {
-
-	@Autowired
-	private ObjectMapper mapper;
-
-	@GetMapping(value = "/algorithms", produces = "application/json")
-	@ResponseBody
-	public ArrayNode getAlgorithmList() {
-		ArrayList<Algorithm> algorithms = new ArrayList<Algorithm>();
-		Algorithm algo = new Algorithm("Changement de luminosité", "changeLuminosity");
-		algorithms.add(algo);
-		algo = new Algorithm("Changement de teinte", "colorFilter");
-		algorithms.add(algo);
-		algo = new Algorithm("Filtre Moyenneur", "meanFilter");
-		algorithms.add(algo);
-		algo = new Algorithm("Filtre Gaussien", "gaussienFilter");
-		algorithms.add(algo);
-		algo = new Algorithm("Détection de contours", "contours");
-		algorithms.add(algo);
-		algo = new Algorithm("Égalisation d'histogramme", "histogram");
-		algorithms.add(algo);
-
-		ArrayNode nodes = mapper.createArrayNode();
-		for (Algorithm a : algorithms) {
-			ObjectNode objectNode = mapper.createObjectNode();
-			objectNode.put("name", a.getName());
-			objectNode.put("path", a.getPath());
-			ArrayNode parameters = objectNode.putArray("parameters");
-			for (Parameter p : a.getParameters()) {
-				ObjectNode paramNode = mapper.createObjectNode();
-				paramNode.put("name", p.getName());
-				paramNode.put("displayName", p.getDisplayName());
-				paramNode.put("min", p.getMin());
-				paramNode.put("max", p.getMax());
-				paramNode.put("step", p.getStep());
-				parameters.add(paramNode);
-			}
-			nodes.add(objectNode);
-		}
-		return nodes;
-	}
-
-}

backend/src/main/java/pdl/backend/Controller/AlgorithmController.java

@@ -0,0 +1,87 @@
+package pdl.backend.Controller;
+
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+
+import com.fasterxml.jackson.databind.ObjectMapper;
+import com.fasterxml.jackson.databind.node.ArrayNode;
+
+import boofcv.struct.border.BorderType;
+import boofcv.struct.image.GrayU8;
+import boofcv.struct.image.Planar;
+import pdl.backend.Algorithm.Algorithm;
+import pdl.backend.Algorithm.Parameters.DoubleParameter;
+import pdl.backend.Algorithm.Parameters.IntegerParameter;
+import pdl.backend.Algorithm.Parameters.SelectParameter;
+import pdl.backend.Image.ImageProcessing;
+import pdl.backend.Algorithm.Parameters.Parameter;
+
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.web.bind.annotation.GetMapping;
+import org.springframework.web.bind.annotation.ResponseBody;
+import org.springframework.web.bind.annotation.RestController;
+
+@RestController
+public class AlgorithmController {
+
+	@Autowired
+	private ObjectMapper mapper;
+
+	public static List<Algorithm> algorithmList() {
+		final String[] borderTypes = { "SKIP", "ZERO", "NORMALIZED", "REFLECT", "EXTENDED", "WRAP" };
+		ArrayList<Algorithm> algorithms = new ArrayList<Algorithm>();
+		algorithms.add(new Algorithm("Changement de luminosité", "changeLuminosity",
+				Arrays.asList(new IntegerParameter("delta", "delta", -255, 255, 1)),
+				(Planar<GrayU8> input, List<Object> para) -> {
+					ImageProcessing.changeLuminosity(input, (int) para.get(0));
+				}));
+		algorithms.add(new Algorithm("Changement de teinte", "colorFilter",
+				Arrays.asList(new IntegerParameter("hue", "Teinte", 0, 359, 1)),
+				(Planar<GrayU8> input, List<Object> para) -> {
+					ImageProcessing.colorFilter(input, (int) para.get(0));
+				}));
+
+		// TODO: TESTS
+		algorithms.add(new Algorithm("Filtre Moyenneur", "meanFilter", Arrays.asList(
+				new IntegerParameter("size", "Taille du filtre", 1, 21, 2),
+				new SelectParameter("borderType", "Type de bordure", borderTypes)),
+				(Planar<GrayU8> input, List<Object> para) -> {
+					ImageProcessing.meanFilter(input, (int) para.get(0), BorderType.valueOf((String) para.get(1)));
+				}));
+
+		// TODO: TESTS
+		algorithms.add(new Algorithm("Filtre Gaussien", "gaussienFilter", Arrays.asList(
+				new IntegerParameter("size", "Taille du filtre", 1, 21, 2),
+				new DoubleParameter("sigma", "Sigma", 0.1, 2, 0.1),
+				new SelectParameter("borderType", "Type de bordure", borderTypes)),
+				(Planar<GrayU8> input, List<Object> para) -> {
+					ImageProcessing.gaussienFilter(input, (int) para.get(0), (double) para.get(1),
+							BorderType.valueOf((String) para.get(2)));
+				}));
+
+		algorithms.add(new Algorithm("Détection de contours", "contours", new ArrayList<Parameter>(),
+				(Planar<GrayU8> input, List<Object> para) -> {
+					ImageProcessing.gradientImageSobel(input);
+				}));
+
+		algorithms.add(new Algorithm("Égalisation d'histogramme", "histogram", new ArrayList<Parameter>(),
+				(Planar<GrayU8> input, List<Object> para) -> {
+					ImageProcessing.histogram(input);
+				}));
+
+		return algorithms;
+	}
+
+	@GetMapping(value = "/algorithms", produces = "application/json")
+	@ResponseBody
+	public ArrayNode getAlgorithmList() {
+		List<Algorithm> algorithms = AlgorithmController.algorithmList();
+		ArrayNode nodes = mapper.createArrayNode();
+		for (Algorithm a : algorithms) {
+			nodes.add(a.getNode(mapper));
+		}
+		return nodes;
+	}
+
+}

backend/src/main/java/pdl/backend/Controller/ImageController.java

@@ -1,4 +1,4 @@
-package pdl.backend;
+package pdl.backend.Controller;
 
 import java.io.ByteArrayInputStream;
 import java.io.ByteArrayOutputStream;
@@ -16,8 +16,13 @@ import com.fasterxml.jackson.databind.node.ArrayNode;
 import com.fasterxml.jackson.databind.node.ObjectNode;
 
 import boofcv.io.image.ConvertBufferedImage;
+import boofcv.struct.border.BorderType;
 import boofcv.struct.image.GrayU8;
 import boofcv.struct.image.Planar;
+import pdl.backend.Algorithm.Algorithm;
+import pdl.backend.Algorithm.Parameters.Parameter;
+import pdl.backend.Image.Image;
+import pdl.backend.Image.ImageDao;
 
 import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.core.io.InputStreamResource;
@@ -135,6 +140,23 @@ public class ImageController {
 		return nodes;
 	}
 
+	public BorderType getBorderType(String borderType) {
+		switch (borderType) {
+			case "EXTENDED":
+				return BorderType.EXTENDED;
+			case "REFLECT":
+				return BorderType.REFLECT;
+			case "REFLECT_101":
+				return BorderType.NORMALIZED;
+			case "WRAP":
+				return BorderType.WRAP;
+			case "ZERO":
+				return BorderType.ZERO;
+			default:
+				return null;
+		}
+	}
+
 	/**
 	 * récupère une image et la modifie si un algorithme est renseigné
 	 *
@@ -159,6 +181,7 @@ public class ImageController {
 			return ResponseEntity.ok().contentType(image.getMediaType())
 					.body(new InputStreamResource(inputStream));
 		}
+		final List<Algorithm> algos = AlgorithmController.algorithmList();
 		// Vérifie la présence du paramètre "algorithm"
 		if (!parameters.containsKey("algorithm")) {
 			return JSONError("First parameter should be 'algorithm'", HttpStatus.BAD_REQUEST);
@@ -173,82 +196,25 @@ public class ImageController {
 		}
 		Planar<GrayU8> input = ConvertBufferedImage.convertFromPlanar(bufImg, null, true, GrayU8.class);
 
-		// applique l'algo a l'image en fonction des parametres et verifie la validite
-		// des parametres
-		switch (algo) {
-			case "changeLuminosity":
-				if (!parameters.containsKey("delta") || parameters.size() != 2)
-					return JSONError("Algorithm 'changeLuminosity' requires one parameter 'delta'(integer)",
-							HttpStatus.BAD_REQUEST);
+		for (Algorithm a : algos) {
+			if (a.getPath().equals(algo)) {
+				for (Parameter p : a.getParameters()) {
+					if (!parameters.containsKey(p.getName())) {
+						return JSONError("Parameter '" + p.getName() + "' is missing", HttpStatus.BAD_REQUEST);
+					}
 					try {
-					int i = Integer.parseInt(parameters.get("delta"));
-					ImageProcessing.changeLuminosity(input, i);
-				} catch (NumberFormatException e) {
-					return JSONError("Parameter 'delta' should be an integer", HttpStatus.BAD_REQUEST);
+						p.setValue(parameters.get(p.getName()));
+					} catch (Exception e) {
+						return JSONError("Parameter '" + p.getName() + "' is invalid", HttpStatus.BAD_REQUEST);
+					}
 				}
-				break;
-			case "histogram":
-				if (parameters.size() != 1)
-					return JSONError("Algorithm 'histogram' doesn't require any parameters", HttpStatus.BAD_REQUEST);
-				ImageProcessing.histogram(input);
-				break;
-			case "colorFilter":
-				if (!parameters.containsKey("hue") || parameters.size() != 2)
-					return JSONError("Algorithm 'colorFilter' requires one parameter 'hue'(integer)",
-							HttpStatus.BAD_REQUEST);
 				try {
-					int i = Integer.parseInt(parameters.get("hue"));
-					if (i < 0) {
-						return JSONError("Parameter 'hue' should be an integer between 0 and 360",
-								HttpStatus.BAD_REQUEST);
-					}
-					ImageProcessing.colorFilter(i, input);
-					// hue entre 0 et 360?
-				} catch (NumberFormatException e) {
-					return JSONError("Parameter 'hue' should be an integer between 0 and 360",
-							HttpStatus.BAD_REQUEST);
+					a.apply(input);
+				} catch (Exception e) {
+					return JSONError("There was an internal server error", HttpStatus.INTERNAL_SERVER_ERROR);
 				}
 				break;
-			case "meanFilter":
-				if (!parameters.containsKey("size") || parameters.size() != 2)
-					return JSONError("Algorithm 'meanFilter' requires one parameter 'size'(positive odd integer)",
-							HttpStatus.BAD_REQUEST);
-				try {
-					int i = Integer.parseInt(parameters.get("size"));
-					if (i % 2 == 0)
-						return JSONError("Parameter 'size' should be a positive odd integer",
-								HttpStatus.BAD_REQUEST);
-					Planar<GrayU8> clone = input.clone();
-					ImageProcessing.meanFilter(clone, input, i);
-				} catch (NumberFormatException e) {
-					return JSONError("Parameter 'size' should be a positive odd integer",
-							HttpStatus.BAD_REQUEST);
 			}
-				break;
-			case "gaussienFilter":
-				if (/* !parameters.containsKey("size") || */ parameters.size() != 1)
-					return JSONError("Algorithm 'gaussienFilter' requires no parameters", HttpStatus.BAD_REQUEST);
-				try {
-					// int i = Integer.parseInt(parameters.get("size"));
-					// if (i % 2 == 0)
-					// return JSONError("Parameter 'size' should be a positive odd integer",
-					// HttpStatus.BAD_REQUEST);
-					Planar<GrayU8> clone = input.clone();
-					ImageProcessing.gaussienFilter(clone, input, 5);
-				} catch (NumberFormatException e) {
-					return JSONError("Parameter 'size' should be a positive odd integer",
-							HttpStatus.BAD_REQUEST);
-				}
-				break;
-			case "contours":
-				if (parameters.size() != 1)
-					return JSONError("Algorithm 'contours' doesn't require any parameters", HttpStatus.BAD_REQUEST);
-				Planar<GrayU8> clone = input.clone();
-				ImageProcessing.gradientImageSobel(clone, input);
-				break;
-			default:
-				return JSONError("Requested algorithm doesn't exist", HttpStatus.BAD_REQUEST);
-
 		}
 
 		// transforme l'image en quelque chose que le navigateur puisse lire

backend/src/main/java/pdl/backend/Image/Image.java

@@ -1,4 +1,4 @@
-package pdl.backend;
+package pdl.backend.Image;
 
 import java.awt.image.BufferedImage;
 import java.io.ByteArrayInputStream;

backend/src/main/java/pdl/backend/Image/ImageDao.java

@@ -1,4 +1,4 @@
-package pdl.backend;
+package pdl.backend.Image;
 
 import java.io.File;
 import java.io.IOException;
@@ -13,6 +13,8 @@ import java.util.Optional;
 import org.springframework.core.io.ClassPathResource;
 import org.springframework.stereotype.Repository;
 
+import pdl.backend.Dao;
+
 @Repository
 public class ImageDao implements Dao<Image> {
 
@@ -21,7 +23,7 @@ public class ImageDao implements Dao<Image> {
 	private final Map<Long, Image> images = new HashMap<>();
 
 	public ImageDao() throws IOException {
-		this("images");
+		this("/images");
 	}
 
 	public ImageDao(final String folderPathStr) throws IOException {

backend/src/main/java/pdl/backend/Image/ImageProcessing.java

@@ -1,5 +1,6 @@
-package pdl.backend;
+package pdl.backend.Image;
 
+import boofcv.struct.border.BorderType;
 import boofcv.struct.image.GrayU8;
 import boofcv.struct.image.Planar;
 
@@ -9,7 +10,10 @@ import java.util.Random;
 
 import boofcv.concurrency.BoofConcurrency;
 
-public class ImageProcessing {
+public final class ImageProcessing {
+
+	private ImageProcessing() {
+	}
 
 	/**
 	 * 
@@ -47,14 +51,13 @@ public class ImageProcessing {
 	 * Convertit une image en couleur en une image en niveaux de gris
 	 * 
 	 * @param input l'image d'entrée en couleur
-	 * @param output l'image de sortie en niveaux de gris
 	 */
-	public static void convertColorToGray(Planar<GrayU8> input, Planar<GrayU8> output) {
+	public static void convertColorToGray(Planar<GrayU8> input) {
 		BoofConcurrency.loopFor(0, input.height, y -> {
 			for (int x = 0; x < input.width; x++) {
 				int[] rgb = getRGBValue(input, x, y);
 				int gray = (int) (0.3 * rgb[0] + 0.59 * rgb[1] + 0.11 * rgb[2]);
-				setRGBValue(output, x, y, new int[] { gray, gray, gray });
+				setRGBValue(input, x, y, new int[] { gray, gray, gray });
 			}
 		});
 	}
@@ -93,8 +96,8 @@ public class ImageProcessing {
 	 */
 	public static void histogram(Planar<GrayU8> input) {
 		int h[] = new int[256];
-		Planar<GrayU8> grayInput = input.createSameShape();
-		convertColorToGray(input, grayInput);
+		Planar<GrayU8> grayInput = input.clone();
+		convertColorToGray(grayInput);
 		// On remplit le tableau avec le nombre de pixels pour chaque niveau de
 		// gris
 		BoofConcurrency.loopFor(0, input.height, y -> {
@@ -218,7 +221,7 @@ public class ImageProcessing {
 	 * @param hue   La valeur de la teinte à appliquer
 	 * @param input L'image à modifier
 	 */
-	public static void colorFilter(int hue, Planar<GrayU8> input) {
+	public static void colorFilter(Planar<GrayU8> input, int hue) {
 		if (hue < 0 || hue > 360) {
 			throw new IllegalArgumentException("Hue doit être compris entre 0 et 360");
 		}
@@ -241,14 +244,14 @@ public class ImageProcessing {
 	 * calculé sur input par convolution avec les filtres de Sobel.
 	 * 
 	 * @param input L'image d'entrée en niveaux de gris.
-	 * @param output L'image de sortie en niveaux de gris.
 	 */
-	public static void gradientImageSobel(Planar<GrayU8> input, Planar<GrayU8> output) {
+	public static void gradientImageSobel(Planar<GrayU8> input) {
+		Planar<GrayU8> output = input.createSameShape();
 		int h1[][] = { { -1, -2, -1 }, { 0, 0, 0 }, { 1, 2, 1 } };
 		int h2[][] = { { -1, 0, 1 }, { -2, 0, 2 }, { -1, 0, 1 } };
 		int half = h1.length / 2;
-		Planar<GrayU8> inputGray = input.createSameShape();
-		convertColorToGray(input, inputGray);
+		Planar<GrayU8> inputGray = input.clone();
+		convertColorToGray(inputGray);
 		BoofConcurrency.loopFor(0, input.height, y -> {
 			for (int x = 0; x < input.width; x++) {
 				if (y < half || x < half || y >= input.height - half || x >= input.width - half) {
@@ -279,78 +282,84 @@ public class ImageProcessing {
 				setRGBValue(output, x, y, rgb);
 			}
 		});
+		for (int i = 0; i < input.width; i++) {
+			for (int j = 0; j < input.height; j++) {
+				int[] rgb = getRGBValue(output, i, j);
+				setRGBValue(input, i, j, rgb);
+			}
+		}
 	}
 
 	/**
 	 * Applique un filtre moyenneur de taille indiquée à l'image
-	 * passée en paramètre (le bord de l'image n'est pas modifié)
+	 * passée en paramètre et stocke le résultat dans l'image de sortie.
 	 * 
 	 * @param input      image d'entrée
-	 * @param output image de sortie
 	 * @param size       taille du filtre à appliquer (doit être impaire)
+	 * @param borderType type de bord à utiliser pour la convolution
 	 */
-	public static void meanFilter(Planar<GrayU8> input, Planar<GrayU8> output, int size) {
+	public static void meanFilter(Planar<GrayU8> input, int size, BorderType borderType) {
 		// Vérification que la taille est impaire
-		if (size % 2 == 0) {
-			throw new IllegalArgumentException("La taille doit être impaire");
+		if (size % 2 == 0 || size < 0) {
+			throw new IllegalArgumentException(
+					"La taille doit être impaire et positive");
 		}
-		// Boucle pour parcourir tous les pixels de l'image d'entrée
-		BoofConcurrency.loopFor(0, input.height, y -> {
-			for (int x = 0; x < input.width; x++) {
-				if (y < size / 2 || x < size / 2 || y >= input.height - size / 2
-						|| x >= input.width - size / 2) {
-					setRGBValue(output, x, y, getRGBValue(input, x, y));
-					continue;
-				}
-				int totalValue[] = new int[3];
-				// Boucle pour parcourir le carré size x size autour du pixel actuel
-				for (int j = y - size / 2; j < y + size / 2 + 1; j++) {
-					for (int i = x - size / 2; i < x + size / 2 + 1; i++) {
-						for (int k = 0; k < totalValue.length; k++) {
-							totalValue[k] += input.getBand(k).get(i, j);
+		int[][] kernel = new int[size][size];
+		for (int i = 0; i < size; i++) {
+			for (int j = 0; j < size; j++) {
+				kernel[i][j] = 1;
 			}
 		}
-				}
-				// Calcule la moyenne des pixels du carré et l'applique au pixel actuel dans
-				// l'image de
-				// sortie
-				for (int k = 0; k < totalValue.length; k++) {
-					totalValue[k] /= size * size;
-				}
-				setRGBValue(output, x, y, totalValue);
-			}
-		});
-
+		convolution(input, kernel, borderType);
 	}
 
 	/**
-	 * TODO
-	 * Calcule le noyau gaussien de taille demandée
 	 * 
-	 * @param size taille du noyau gaussien
-	 * @return noyau gaussien
+	 * Applique un filtre gaussien de taille et de valeur données sur une image et
+	 * stocke le résultat dans l'image de sortie.
+	 * 
+	 * @param input      L'image d'entrée
+	 * @param size       La taille du filtre à appliquer (doit être impaire)
+	 * @param sigma      La valeur du sigma à utiliser pour le filtre gaussien.
+	 * @param borderType Le type de bord à utiliser pour la convolution
 	 */
-	public static int[][] createGaussienKernel(int size) {
-		// Vérification que la taille est impaire
-		if (size % 2 == 0 || size < 0) {
-			throw new IllegalArgumentException("La taille doit être impaire et positive");
+	public static void gaussienFilter(Planar<GrayU8> input, int size, double sigma, BorderType borderType) {
+		if (size % 2 == 0 || size < 0 || sigma <= 0) {
+			throw new IllegalArgumentException(
+					"La taille doit être impaire et positive et sigma doit être strictement positif");
 		}
 		double[][] kernel = new double[size][size];
-		double sigma = 4 / 3;
-		double sum = 0.0; // For accumulating the kernel values
-		for (int x = 0; x < size; ++x)
-			for (int y = 0; y < size; ++y) {
-				kernel[x][y] = 1 / (2 * Math.PI * sigma * sigma) * Math.exp(-(x * x + y * y) / (2 * sigma * sigma));
-
+		int half = size / 2;
+		double sum = 0;
+		for (int x = -half; x <= half; ++x) {
+			for (int y = -half; y <= half; ++y) {
+				double gaussianValue = 1 / (2 * Math.PI * sigma * sigma)
+						* Math.exp(-(x * x + y * y) / (2 * sigma * sigma));
+				kernel[x + half][y + half] = gaussianValue;
+				sum += gaussianValue;
+			}
+		}
+		// On récupère le pourcentage de chaque valeur par rapport à la somme
+		for (int x = -half; x <= half; ++x) {
+			for (int y = -half; y <= half; ++y) {
+				kernel[x + half][y + half] = kernel[x + half][y + half] / sum;
+			}
 		}
 
-		// Normalize the kernel
-		int[][] kernelk = new int[size][size];
-		for (int x = 0; x < size; ++x)
-			for (int y = 0; y < size; ++y)
-				kernelk[x][y] = (int) (kernel[x][y] / sum);
-
-		return kernelk;
+		int[][] kernelInt = new int[size][size];
+		double factor = 1 / kernel[0][0];
+		// Si le facteur est trop grand (la valeur du coin est très très petite par
+		// rapport au reste), on le fixe à 1 million
+		if (factor > 1000000) {
+			factor = 1000000;
+		}
+		// normalisation
+		for (int x = 0; x < size; ++x) {
+			for (int y = 0; y < size; ++y) {
+				kernelInt[x][y] = (int) (kernel[x][y] * factor);
+			}
+		}
+		convolution(input, kernelInt, borderType);
 	}
 
 	public static int[][] createGaussienKernel(int size, double sigma) {
@@ -398,14 +407,13 @@ public class ImageProcessing {
 	 * donné et stocke le résultat dans l'image de sortie.
 	 * 
 	 * @param input      L'image d'entrée
-	 * @param output L'image de sortie
 	 * @param kernel     Le noyau de convolution à utiliser.
+	 * @param borderType Le type de bord à utiliser pour la convolution
 	 */
-	public static void gaussienFilter(Planar<GrayU8> input, Planar<GrayU8> output,
-			int size) {
-		int[][] kernel = { { 1, 2, 3, 2, 1 }, { 2, 6, 8, 6, 2 }, { 3, 8, 10, 8, 3 }, { 2, 6, 8, 6, 2 },
-				{ 1, 2, 3, 2, 1 } };
-		int half = size / 2;
+	public static void convolution(Planar<GrayU8> input, int[][] kernel, BorderType borderType) {
+		Planar<GrayU8> copy = input.clone();
+		int size = kernel.length;
+		int half = kernel.length / 2;
 		int coefs = 0;
 		// Calcul du nombre total de coefficients dans le noyau
 		for (int i = 0; i < kernel.length; i++) {
@@ -417,10 +425,54 @@ public class ImageProcessing {
 		// Parcours de l'image d'entrée et application de la convolution
 		BoofConcurrency.loopFor(0, input.height, y -> {
 			for (int x = 0; x < input.width; x++) {
-				// Vérification si le carré sera à l'intérieur de l'image
+				// On traite d'abord les bords
 				if (y < half || x < half || y >= input.height - half || x >= input.width -
 						half) {
-					setRGBValue(output, x, y, getRGBValue(input, x, y));
+					if (borderType == BorderType.SKIP) {
+						setRGBValue(input, x, y, getRGBValue(copy, x, y));
+					} else if (borderType == BorderType.ZERO) {
+						setRGBValue(input, x, y, new int[] { 0, 0, 0 });
+					} else {
+						int totalValue[] = new int[3];
+						int coefsUsed = 0;
+						for (int j = y - half; j < y + half + 1; j++) {
+							int tmpj = j;
+							if (j < 0 || j >= input.height) {
+								if (borderType == BorderType.EXTENDED) {
+									tmpj = j < 0 ? 0 : input.height - 1;
+								} else if (borderType == BorderType.NORMALIZED) {
+									continue;
+								} else if (borderType == BorderType.REFLECT) {
+									tmpj = j < 0 ? -j : (input.height - 1) - (j - (input.height - 1));
+								} else if (borderType == BorderType.WRAP) {
+									tmpj = j < 0 ? j + (input.height - 1) : (j - (input.height - 1));
+								}
+							}
+							for (int i = x - size / 2; i < x + size / 2 + 1; i++) {
+								int tmpi = i;
+								if (i < 0 || i >= input.width) {
+									if (borderType == BorderType.EXTENDED) {
+										tmpi = i < 0 ? 0 : input.width - 1;
+									} else if (borderType == BorderType.NORMALIZED) {
+										continue;
+									} else if (borderType == BorderType.REFLECT) {
+										tmpi = i < 0 ? -i : (input.width - 1) - (i - (input.width - 1));
+									} else if (borderType == BorderType.WRAP) {
+										tmpi = i < 0 ? i + (input.width - 1) : (i - (input.width - 1));
+									}
+								}
+								for (int k = 0; k < totalValue.length; k++) {
+									totalValue[k] += copy.getBand(k).get(tmpi, tmpj)
+											* kernel[i + (-x + half)][j + (-y + half)];
+								}
+								coefsUsed += kernel[i + (-x + half)][j + (-y + half)];
+							}
+						}
+						for (int k = 0; k < totalValue.length; k++) {
+							totalValue[k] /= coefsUsed;
+						}
+						setRGBValue(input, x, y, totalValue);
+					}
 					continue;
 				}
 				int currentJ = 0;
@@ -430,7 +482,7 @@ public class ImageProcessing {
 				for (int j = y - half; j <= y + half; j++) {
 					for (int i = x - half; i <= x + half; i++) {
 						for (int k = 0; k < totalValue.length; k++) {
-							totalValue[k] += input.getBand(k).get(i, j) * kernel[currentJ][currentI];
+							totalValue[k] += copy.getBand(k).get(i, j) * kernel[currentJ][currentI];
 						}
 						currentI++;
 					}
@@ -440,7 +492,7 @@ public class ImageProcessing {
 				for (int k = 0; k < totalValue.length; k++) {
 					totalValue[k] /= totalCoefs;
 				}
-				setRGBValue(output, x, y, totalValue);
+				setRGBValue(input, x, y, totalValue);
 			}
 		});
 	}

backend/src/main/java/pdl/backend/Image/ImageResourceMissingException.java

@@ -1,4 +1,4 @@
-package pdl.backend;
+package pdl.backend.Image;
 
 import java.io.FileNotFoundException;
 

backend/src/main/java/pdl/backend/Parameter.java

@@ -1,37 +0,0 @@
-package pdl.backend;
-
-public class Parameter {
-	private final String name;
-	private final String displayName;
-	private final int min;
-	private final int max;
-	private final int step;
-
-	public Parameter(String name, String displayName, int min, int max, int step) {
-		this.name = name;
-		this.displayName = displayName;
-		this.max = max;
-		this.min = min;
-		this.step = step;
-	}
-
-	public String getName() {
-		return this.name;
-	}
-
-	public String getDisplayName() {
-		return this.displayName;
-	}
-
-	public int getMin() {
-		return this.min;
-	}
-
-	public int getMax() {
-		return this.max;
-	}
-
-	public int getStep() {
-		return this.step;
-	}
-}

backend/src/test/java/pdl/backend/ImageControllerTests.java

@@ -22,6 +22,9 @@ import org.springframework.test.util.ReflectionTestUtils;
 import org.springframework.test.web.servlet.MockMvc;
 import org.springframework.test.web.servlet.request.MockMvcRequestBuilders;
 
+import pdl.backend.Image.Image;
+import pdl.backend.Image.ImageDao;
+
 @SpringBootTest
 @AutoConfigureMockMvc
 @TestMethodOrder(OrderAnnotation.class)

backend/src/test/java/pdl/backend/ImageDaoTests.java

@@ -7,6 +7,8 @@ import java.io.IOException;
 import org.junit.jupiter.api.DisplayName;
 import org.junit.jupiter.api.Test;
 
+import pdl.backend.Image.ImageDao;
+
 public class ImageDaoTests {
 
 	@Test

frontend/src/App.vue

@@ -3,6 +3,7 @@ import Home from './components/Home.vue'
 import Gallery from './components/Gallery.vue';
 import NotFound from './components/NotFound.vue'
 import Upload from './components/Upload.vue'
+import StableDiff from './components/StableDiff.vue';
 import { defineComponent } from 'vue'
 import { api } from '@/http-api'
 import { ImageType, ImageClass } from './image';
@@ -48,6 +49,7 @@ export default defineComponent({
 					<li><router-link :to="{ name: 'home' }">Home</router-link></li>
 					<li><router-link :to="{ name: 'gallery' }">Gallery</router-link></li>
 					<li><router-link :to="{ name: 'upload' }">Upload</router-link></li>
+					<li><router-link :to="{ name: 'generate' }">Generate Images</router-link></li>
 				</ul>
 			</nav>
 		</div>
@@ -55,12 +57,7 @@ export default defineComponent({
 	<RouterView :images="images" @delete="deleteFile" @updateImageList="updateImageList()" />
 </template>
 <style scoped>
-.navi {
-	/* reduce size of children */
-	display: flex;
-	flex-direction: row-reverse;
-	pointer-events: none;
-}
+@import url("@/navi.css");
 
 header {
 	display: block;
@@ -72,17 +69,6 @@ header {
 	pointer-events: none;
 }
 
-ul>li+li {
-	margin-left: 30px;
-}
-
-ul>li {
-	position: relative;
-	display: flex;
-	align-items: center;
-	justify-content: center;
-}
-
 .router-link-active {
 	background-color: #646cff;
 }
@@ -90,31 +76,4 @@ ul>li {
 .router-link-active>a {
 	color: rgb(205, 201, 194);
 }
-
-a {
-	padding: 5px 15px;
-	border-radius: 60px;
-	color: rgb(172, 165, 154);
-	text-decoration: none;
-	font-family: "Aeonik", sans-serif;
-}
-
-nav {
-	display: flex;
-	justify-content: center;
-	padding-left: 20px;
-	height: 60px;
-	padding-right: 20px;
-	border-radius: 60px;
-	background-color: rgb(24, 26, 27);
-	margin-right: 20px;
-	pointer-events: auto;
-}
-
-
-ul {
-	display: flex;
-	list-style: none;
-	padding-inline-start: 0;
-}
 </style>

frontend/src/components/CustomSelector.vue

@@ -1,3 +1,47 @@
+<template>
+	<div class="custom-select" @blur="open = false">
+		<div class="selected" :class="{ open: open }" @click="open = !open">
+			<span>{{ list[selected] }}</span>
+		</div>
+		<div class="items" :class="{ selectHide: !open }">
+			<div v-for="(name, index) in list" @click="open = false; $emit('updateSelected', index)">
+				<span>{{ name }}</span>
+			</div>
+		</div>
+	</div>
+</template>
+
+<script setup lang="ts">
+import { defineComponent } from 'vue'
+</script>
+<script lang="ts">
+
+export default defineComponent({
+	props: {
+		list: {
+			type: Array as () => string[],
+			required: true,
+		},
+		selected: {
+			type: Number,
+			required: true,
+		},
+	},
+	emits: {
+		updateSelected(id: number) {
+			return id >= 0;
+		}
+	},
+	data() {
+		return {
+			open: false,
+		}
+	},
+})
+
+</script>
+
+<style scoped>
 .custom-select {
 	width: 100%;
 	text-align: left;
@@ -69,3 +113,4 @@
 .selectHide {
 	display: none;
 }
+</style>

frontend/src/components/Gallery.vue

@@ -19,7 +19,7 @@ export default defineComponent({
 	<div class="flex" v-if="images.size > 0">
 		<div v-for="[id, image] in images" :key="id" class="image">
 			<label>{{ image.name }}</label>
-			<Image class="gallery" :id="id" :images="images" redirect="home" />
+			<Image :id="id" :images="images" redirect="home" />
 		</div>
 	</div>
 	<h1 v-else>Aucune image trouvée</h1>
@@ -59,9 +59,8 @@ label {
 	font-size: 1.5em;
 	color: white;
 }
-</style>
-<style>
-.gallery.imageContainer {
+
+:deep(.imageContainer) {
 	margin: 2vw;
 	max-height: min(33vh, 33vw);
 	max-width: min(33vw, 33vh);

frontend/src/components/Home.vue

@@ -22,7 +22,6 @@ export default defineComponent({
 	data() {
 		return {
 			imageSelectedId: -1,
-			timer: null as ReturnType<typeof setTimeout> | null,
 			editor: false,
 			filter: undefined as Filter | undefined,
 		}
@@ -38,6 +37,9 @@ export default defineComponent({
 		'images.size': {
 			handler() { this.updateImageSelectedId(); },
 		},
+		imageSelectedId() {
+			this.filter = undefined;
+		}
 	},
 	methods: {
 		updateImageSelectedId(id: number = -1) {
@@ -47,35 +49,29 @@ export default defineComponent({
 				this.imageSelectedId = id;
 			else
 				this.imageSelectedId = this.images.keys().next().value;
-		},
-		startTimer() {
-			if (this.timer !== null)
-				clearTimeout(this.timer);
-			this.timer = setTimeout(() => {
-				this.editor = !this.editor;
-			}, 1900);
-		},
-		clearTimer() {
-			if (this.timer !== null) {
-				clearTimeout(this.timer);
-				this.timer = null;
-			}
 		}
 	}
 })
 </script>
 <template>
 	<div class="flex" v-if="images.size > 0">
-		<h1 v-if="!editor">MODE SÉLECTION</h1>
-		<h1 v-else>MODE ÉDITEUR</h1>
+		<div class="navi">
+			<nav>
+				<ul>
+					<li>
+						<h3 :class="{ active: !editor }" @click="editor = false">Mode sélection</h3>
+					</li>
+					<li>
+						<h3 :class="{ active: editor }" @click="editor = true">Mode éditeur</h3>
+					</li>
+				</ul>
+			</nav>
+		</div>
 		<HomeSelect v-if="!editor" :images="images" :image-selected-id="imageSelectedId" @delete="id => $emit('delete', id)"
 			@updateImageSelectedId="id => updateImageSelectedId(id)"></HomeSelect>
 		<HomeEditor v-else @apply-filter="(newFilter) => filter = newFilter"></HomeEditor>
-		<h5 v-if="!editor">Restez sur l'image pour passer en mode éditeur</h5>
-		<h5 v-else>Restez sur l'image pour passer en mode selection</h5>
-		<Image @mouseleave="clearTimer()" @mouseenter="startTimer()" class="home"
-			v-if="imageSelectedId !== undefined && imageSelectedId !== -1" :id="imageSelectedId" :images="images"
-			:filter="filter">
+		<Image class="home" v-if="imageSelectedId !== undefined && imageSelectedId !== -1" :id="imageSelectedId"
+			:images="images" :filter="filter">
 		</Image>
 		<a class="button" :href="images.get(imageSelectedId)?.data"
 			:download="images.get(imageSelectedId)?.name">Télécharger {{ images.get(imageSelectedId)?.name }}</a>
@@ -83,16 +79,13 @@ export default defineComponent({
 	<h1 v-else>Aucune image trouvée</h1>
 </template>
 <style scoped>
+@import url("@/navi.css");
+
 h1 {
 	color: white;
 	margin: 0;
 }
 
-h5 {
-	color: white;
-	margin: 1vw 0 0 0;
-}
-
 a {
 	text-decoration: none;
 }
@@ -106,37 +99,24 @@ html {
 	display: flex;
 	flex-direction: column;
 	align-items: center;
-}
-</style>
-<style>
-.home.imageContainer {
-	max-width: 60%;
-	width: auto;
-	height: auto;
-	max-height: 60vh;
-	margin: 0 0 2vw 0;
+	gap: 4vh;
 }
 
-div.home.imageContainer:hover {
-	animation: zoom-in-zoom-out 2s cubic-bezier(1, 0, 0.51, 1.01);
+.active {
+	background-color: #646cff;
+}
+
+.active a {
+	color: rgb(205, 201, 194);
+}
+
+.navi h3 {
+	cursor: pointer;
+}
+
+:deep(.imageContainer) {
+	max-width: min(60vh, 60vw);
+	max-height: min(60vh, 60vw);
 	transform: none;
 }
-
-@keyframes zoom-in-zoom-out {
-	0% {
-		transform: scale(1);
-	}
-
-	60% {
-		transform: scale(1.5);
-	}
-
-	75% {
-		transform: scale(10);
-	}
-
-	100% {
-		transform: none;
-	}
-}
 </style>

frontend/src/components/HomeEditor.vue

@@ -1,8 +1,9 @@
 <script setup lang="ts">
 
 import { defineComponent } from 'vue'
-import { Filter, clone } from '@/filter'
+import { Filter, clone, FilterType, RangeParameters, SelectParameters } from '@/filter'
 import { api } from "@/http-api";
+import CustomSelector from './CustomSelector.vue';
 
 </script>
 <script lang="ts">
@@ -15,73 +16,120 @@ export default defineComponent({
 	data() {
 		return {
 			filterSelectId: 0,
-			open: false,
 			filters: [] as Filter[],
-			error: false,
-		}
+			error: "",
+			filterApplied: false,
+		};
 	},
 	created() {
 		api.getAlgorithmList().then((filters) => {
 			this.filters = filters;
+			// fill value attribute
+			for (const filter of this.filters) {
+				for (const arg of filter.parameters) {
+					if (arg.type === FilterType.range) {
+						const range = arg as RangeParameters;
+						range.value = range.min;
+					}
+					else if (arg.type === FilterType.select) {
+						const select = arg as SelectParameters;
+						select.value = select.options[0];
+					}
+				}
+			}
+			this.error = this.areInputValid();
 		});
 	},
 	methods: {
 		applyFilter() {
-			if (this.filterSelectId === 0) {
-				this.$emit("applyFilter", undefined);
+			if (this.error !== "")
 				return;
-			}
-			const filter = clone(this.filters[this.filterSelectId - 1]);
+			const filter = clone(this.filters[this.filterSelectId]);
 			for (const arg of filter.parameters) {
 				if (arg.value === undefined) {
-					this.error = true;
+					this.error = "";
 					return;
 				}
 			}
+			this.filterApplied = true;
 			this.$emit("applyFilter", filter);
+		},
+		areInputValid() {
+			for (const p of this.filters[this.filterSelectId].parameters) {
+				const input = document.getElementById(p.name) as HTMLInputElement;
+				if (input === null)
+					return "";
+				if (!input.checkValidity())
+					return "Paramètre(s) du filtre invalide(s)";
 			}
+			return "";
 		}
+	},
+	watch: {
+		filterSelectId() {
+			this.error = this.areInputValid();
+		},
+		filters: {
+			handler() {
+				this.error = this.areInputValid();
+			},
+			deep: true
+		}
+	},
+	components: { CustomSelector }
 })
 
 </script>
 <template>
 	<div class="editor">
 		<label>Sélectionner un filtre: </label>
-		<div class="custom-select" @blur="open = false">
-			<div class="selected" :class="{ open: open }" @click="open = !open">
-				<span>{{ filterSelectId === 0 ? "Aucun filtre" : filters[filterSelectId - 1].name }}</span>
+		<CustomSelector :list="filters.map((f) => { return f.name })" :selected="filterSelectId"
+			@update-selected="filterSelectId = $event" />
+		<!-- Filter parameters -->
+		<div v-if="filters.length !== 0" v-for="parameter in filters[filterSelectId].parameters" class="rangeInput">
+			<div v-if="parameter.type === FilterType.range">
+				<div class="labelInput">
+					<label>{{ parameter.name }}: </label>
+					<input type="number" :min="(parameter as RangeParameters).min" :max="(parameter as RangeParameters).max"
+						:step="(parameter as RangeParameters).step" v-model.number="parameter.value" :id="parameter.name" />
 				</div>
-			<div class="items" :class="{ selectHide: !open }">
-				<div @click="open = false; filterSelectId = 0">
-					<span>Aucun filtre</span>
+				<input type="range" :min="(parameter as RangeParameters).min" :max="(parameter as RangeParameters).max"
+					:step="(parameter as RangeParameters).step" v-model.number="(parameter as RangeParameters).value" />
 			</div>
-				<div v-for="(filter, index) in filters" @click="open = false; filterSelectId = index + 1">
-					<span>{{ filter.name }}</span>
+			<div v-else-if="parameter.type === FilterType.select" class="selectParam">
+				<label>{{ parameter.name }}: </label>
+				<CustomSelector :list="(parameter as SelectParameters).options"
+					:selected="(parameter as SelectParameters).options.findIndex((o) => o === (parameter as SelectParameters).value)"
+					@update-selected="parameter.value = (parameter as SelectParameters).options[$event]" />
 			</div>
 		</div>
-		</div>
-		<div v-if="filters.length != 0 && filterSelectId !== 0" v-for="parameter in filters[filterSelectId - 1].parameters"
-			class="rangeInput">
-			<label>{{ parameter.name }}: ({{ parameter.value }}) </label>
-			<input type="range" :min="parameter.min" :max="parameter.max" :step="parameter.step"
-				v-model.number="parameter.value" />
-		</div>
-		<button @mouseleave="error = false" class="button" :class="{ erreurClass: error }" @click="applyFilter()">
-			{{ error ? "Erreur" : "Appliquer le filtre" }}</button>
+		<button @mouseenter="error = areInputValid()" @mouseleave="error = areInputValid()" class="button"
+			:class="{ errorClass: error !== '' }" @click="applyFilter()">
+			{{ error !== "" ? error : "Appliquer le filtre" }}</button>
+		<button v-if="filterApplied" class="button"
+			@click="$emit('applyFilter', undefined); filterApplied = false">Supprimer le filtre</button>
 	</div>
 </template>
 
 <style scoped>
-@import url("@/customSelect.css");
-
 label {
 	color: white;
-	display: flex;
-	align-items: center;
-	justify-content: center;
 	flex-shrink: 0;
 }
 
+.labelInput {
+	display: flex;
+	flex-direction: row;
+	align-items: center;
+	justify-content: space-between;
+}
+
+.labelInput input {
+	width: min-content;
+	height: 1em;
+	font-size: 0.8em;
+}
+
 .editor {
 	display: flex;
 	flex-direction: row;
@@ -90,8 +138,19 @@ label {
 	gap: 10px;
 }
 
-.erreurClass {
+.errorClass {
 	background-color: red;
 	color: white;
 }
+
+input:invalid {
+	background-color: red;
+}
+
+.selectParam {
+	display: flex;
+	flex-direction: row;
+	align-items: center;
+	gap: 10px;
+}
 </style>

frontend/src/components/HomeSelect.vue

@@ -2,7 +2,7 @@
 
 import { defineComponent } from 'vue'
 import { ImageType } from '@/image'
-
+import CustomSelector from './CustomSelector.vue';
 </script>
 <script lang="ts">
 
@@ -28,7 +28,6 @@ export default defineComponent({
 	data() {
 		return {
 			sure: false,
-			open: false,
 		}
 	},
 	watch: {
@@ -52,25 +51,14 @@ export default defineComponent({
 <template>
 	<div class="selector">
 		<label>Sélectionner une image: </label>
-		<div class="custom-select" @blur="open = false">
-			<div class="selected" :class="{ open: open }" @click="open = !open">
-				<span>{{ images.get(imageSelectedId)?.name }}</span>
-			</div>
-			<div class="items" :class="{ selectHide: !open }">
-				<div v-for="[id, image] of images" :key="id"
-					@click="$emit('updateImageSelectedId', image.id); open = false;">
-					<span>{{ image.name }}</span>
-				</div>
-			</div>
-		</div>
+		<CustomSelector :list="Array.from(images.values()).map((i) => { return i.name })" :selected="imageSelectedId"
+			@update-selected="$emit('updateImageSelectedId', $event)" />
 		<button class="button" @mouseleave="sure = false" @click="confirmDelete()" :class="{ confirm: sure }">
 			{{ sure ? "Confirmer" : "Supprimer" }}</button>
 	</div>
 </template>
 
 <style scoped>
-@import url(@/customSelect.css);
-
 .selector {
 	display: flex;
 	flex-direction: row;

frontend/src/components/Image.vue

@@ -73,9 +73,7 @@ export default defineComponent({
 <style>
 .imageContainer img {
 	max-width: 100%;
-	max-height: 100vh;
-	height: auto;
-	width: auto;
+	max-height: 100%;
 	object-fit: contain;
 }
 

frontend/src/components/StableDiff.vue

@@ -0,0 +1,248 @@
+<template>
+	<div>
+		<div class="preview">
+			<div v-if="started" class="loadingbar">
+				<div class="loadedbar" :style="{ width: progress + '%' }">
+					<span>ETA: {{ eta }}s</span>
+				</div>
+			</div>
+			<img :src="generatedImage" />
+		</div>
+		<div class="dl" v-if="generatedImage != ''">
+			<a :href="generatedImage" download="generated.png" class="button">Download</a>
+			<button class="button" @click="sendImage()" :class="{ sent: sent }">{{ sent ? "Envoyé" : "Upload to server"
+			}}</button>
+		</div>
+		<div class="form">
+			<label for="promptImage">Prompt Image</label>
+			<textarea v-model="promptImage" />
+			<label for="negativePromptImage">Negative Prompt Image</label>
+			<textarea v-model="negativePromptImage" />
+			<div class="labelInput">
+				<label for="height">Height</label>
+				<input type="number" v-model.number="height" />
+			</div>
+			<input type="range" :min="minmaxHeight.min" :max="minmaxHeight.max" v-model.number="height" />
+			<div class="labelInput">
+				<label for="width">Width</label>
+				<input type="number" v-model.number="width" />
+			</div>
+			<input type="range" :min="minmaxWidth.min" :max="minmaxWidth.max" v-model.number="width" />
+			<div class="labelInput">
+				<label for="steps">Steps</label>
+				<input type="number" v-model.number="steps" />
+			</div>
+			<input type="range" :min="minmaxSteps.min" :max="minmaxSteps.max" v-model.number="steps" />
+			<div class="labelInput">
+				<label for="cfgScale">Cfg Scale</label>
+				<input type="number" v-model.number="cfgScale" />
+			</div>
+			<input type="range" :min="minmaxCfgScale.min" :max="minmaxCfgScale.max" v-model.number="cfgScale" />
+			<button :disabled="started" class="button" @click="generate">{{ started ? "Generation en cours" :
+				"Generate" }}</button>
+		</div>
+	</div>
+</template>
+
+<script setup lang="ts">
+import { defineComponent } from 'vue';
+import { api } from '@/http-api';
+</script>
+<script lang="ts">
+
+const minmaxHeight = {
+	min: 400,
+	max: 512
+}
+
+const minmaxWidth = {
+	min: 400,
+	max: 512
+}
+
+const minmaxSteps = {
+	min: 10,
+	max: 40
+}
+
+const minmaxCfgScale = {
+	min: 0,
+	max: 30
+}
+
+export default defineComponent({
+	emits: ['updateImageList'],
+	data() {
+		return {
+			promptImage: '',
+			negativePromptImage: '',
+			height: 512,
+			width: 512,
+			steps: 20,
+			cfgScale: 7,
+			generatedImage: '',
+			started: false,
+			progress: 0,
+			eta: 0,
+			sent: false,
+		}
+	},
+	methods: {
+		async generate() {
+			api.generateImage(this.promptImage, this.negativePromptImage, this.height, this.width, this.steps, this.cfgScale).then((data) => {
+				this.generatedImage = "data:image/png;base64," + data.images[0];
+				this.started = false;
+			});
+			this.sent = false;
+			this.generatedImage = '';
+			this.started = true;
+		},
+		urltoFile(url: string, filename: string, mimeType: string) {
+			return (fetch(url)
+				.then(function (res) { return res.arrayBuffer(); })
+				.then(function (buf) { return new File([buf], filename, { type: mimeType }); })
+			);
+		},
+		async sendImage() {
+			if (!this.sent) {
+				this.sent = true;
+				const file = await this.urltoFile(this.generatedImage, "generated" + Date.now() + ".png", "image/png");
+				const formData = new FormData();
+				formData.append("file", file);
+				api.createImage(formData).then((data) => {
+					console.log(data);
+					this.$emit('updateImageList');
+				});
+			}
+		}
+	},
+	watch: {
+		height() {
+			if (this.height < minmaxHeight.min)
+				this.height = minmaxHeight.min;
+			else if (this.height > minmaxHeight.max)
+				this.height = minmaxHeight.max;
+		},
+		width() {
+			if (this.width < minmaxWidth.min)
+				this.width = minmaxWidth.min;
+			else if (this.width > minmaxWidth.max)
+				this.width = minmaxWidth.max;
+		},
+		steps() {
+			if (this.steps < minmaxSteps.min)
+				this.steps = minmaxSteps.min;
+			else if (this.steps > minmaxSteps.max)
+				this.steps = minmaxSteps.max;
+		},
+		cfgScale() {
+			if (this.cfgScale < minmaxCfgScale.min)
+				this.cfgScale = minmaxCfgScale.min;
+			else if (this.cfgScale > minmaxCfgScale.max)
+				this.cfgScale = minmaxCfgScale.max;
+		},
+		started() {
+			if (this.started) {
+				const interval = setInterval(() => {
+					api.progress().then((data) => {
+						this.progress = data.progress * 100;
+						this.eta = Math.floor(data.eta_relative);
+						if (data.current_image !== null) {
+							this.generatedImage = "data:image/png;base64," + data.current_image;
+						}
+						if (data.state.job_count === 0) {
+							clearInterval(interval);
+						}
+						if (!this.started) {
+							clearInterval(interval);
+						}
+					});
+				}, 1000);
+			}
+		},
+	}
+
+})
+</script>
+<style scoped>
+.form {
+	display: flex;
+	flex-direction: column;
+	align-items: center;
+}
+
+label {
+	color: white;
+}
+
+.sent {
+	color: green;
+}
+
+.form textarea {
+	width: 100%;
+	margin: 0;
+	margin-bottom: 1vh;
+}
+
+.form input {
+	width: 100%;
+	margin: 0;
+	margin-bottom: 1vh;
+}
+
+a.button {
+	text-decoration: none;
+	height: 1.5em;
+	width: min-content;
+}
+
+.dl {
+	display: flex;
+	flex-direction: row;
+	align-items: center;
+	justify-content: center;
+	padding: 10px;
+	gap: 1vw;
+}
+
+.labelInput {
+	display: flex;
+	flex-direction: row;
+	align-items: center;
+	justify-content: space-between;
+	width: 100%;
+}
+
+.labelInput input {
+	width: 37px;
+}
+
+.loadingbar {
+	width: 100%;
+	height: 25px;
+	background-color: #c9c9c9;
+	margin-bottom: 25px;
+}
+
+.loadedbar {
+	height: 100%;
+	background-color: #4caf50;
+	display: flex;
+	align-items: center;
+	justify-content: center;
+	flex-direction: row;
+	white-space: nowrap;
+}
+
+
+.preview {
+	display: flex;
+	flex-direction: column;
+	align-items: center;
+}
+
+.preview img {
+	width: 100%;
+}
+</style>

frontend/src/components/Upload.vue

@@ -13,7 +13,7 @@ interface InputFileEvent extends Event {
 }
 
 export default defineComponent({
-	emits: ['updateImageList', 'delete'],
+	emits: ['updateImageList'],
 	data() {
 		return {
 			file: null as FileList | null,
@@ -27,8 +27,15 @@ export default defineComponent({
 		images: {
 			type: Map<number, ImageType>,
 			required: true
+		},
+		fileDefault: {
+			type: FileList,
+			default: null
 		}
 	},
+	created() {
+		this.file = this.fileDefault;
+	},
 	methods: {
 		async submitImage() {
 			if (this.classSendButton === "sent") {

frontend/src/filter.ts

@@ -1,21 +1,47 @@
-export class Parameters {
+export enum FilterType {
+	"range" = "range",
+	"select" = "select",
+}
+
+
+export abstract class Parameters {
 	name: string
 	displayName: string
+	type: FilterType
+	value: any
+
+	constructor(name: string, displayName: string, type: FilterType) {
+		this.name = name
+		this.displayName = displayName
+		this.type = type
+	}
+
+}
+
+export class RangeParameters extends Parameters {
 	min: number
 	max: number
 	step: number
-	value: number | undefined
-
-	constructor(name: string, displayName: string, min: number, max: number, step: number = 1, value: number | undefined = undefined) {
-		this.name = name
-		this.displayName = displayName
+	value: number
+	constructor(name: string, displayName: string, min: number, max: number, step: number, value: number = min) {
+		super(name, displayName, FilterType.range)
+		this.value = value;
 		this.min = min
 		this.max = max
 		this.step = step
-		this.value = value
+	}
 }
 
+export class SelectParameters extends Parameters {
+	options: string[]
+	value: string
+	constructor(name: string, displayName: string, options: string[], value = options[0]) {
+		super(name, displayName, FilterType.select)
+		this.value = value;
+		this.options = options
 	}
+}
+
 
 export class Filter {
 	name: string
@@ -31,9 +57,28 @@ export class Filter {
 }
 
 export function getParameters(f: Filter): string {
-	return '&' + f.parameters.map((param) => param.name + "=" + param.value).join("&");
+	return '&' + f.parameters.map((param) => {
+		switch (param.type) {
+			case FilterType.range:
+				const paramCastRange = param as RangeParameters
+				return paramCastRange.name + "=" + paramCastRange.value
+			case FilterType.select:
+				const paramCastSelect = param as SelectParameters
+				return paramCastSelect.name + "=" + paramCastSelect.value
+		}
+	}
+	).join("&")
 }
 
 export function clone(f: Filter): Filter {
-	return new Filter(f.name, f.path, f.parameters.map((arg) => new Parameters(arg.name, arg.displayName, arg.min, arg.max, arg.step, arg.value)))
+	return new Filter(f.name, f.path, f.parameters.map((param) => {
+		switch (param.type) {
+			case FilterType.range:
+				const paramCastRange = param as RangeParameters
+				return new RangeParameters(param.name, param.displayName, paramCastRange.min, paramCastRange.max, paramCastRange.step, paramCastRange.value)
+			case FilterType.select:
+				const paramCastSelect = param as SelectParameters
+				return new SelectParameters(param.name, param.displayName, paramCastSelect.options, paramCastSelect.value)
+		}
+	}))
 }

frontend/src/http-api.ts

@@ -2,9 +2,44 @@ import axios, { AxiosResponse, AxiosError, HttpStatusCode } from 'axios';
 import { ImageType } from '@/image';
 import { Filter, getParameters } from './filter';
 
+interface stateInterface {
+	skipped: boolean;
+	interrupted: boolean;
+	job: string;
+	job_count: number;
+	job_timestamp: string;
+	job_no: number;
+	sampling_step: number;
+	sampling_steps: number;
+}
+
+interface progressInterface {
+	progress: number;
+	eta_relative: number;
+	state: stateInterface;
+	current_image: string | null;
+	text_info: string | null;
+}
+
+interface generateImageInterface {
+	images: string[];
+	parameters: {};
+	info: string;
+}
+
+
+export const cancelRequest = axios.CancelToken.source();
+
 const instance = axios.create({
 	baseURL: "/",
-	timeout: 15000,
+	timeout: 0,
+	cancelToken: cancelRequest.token
+});
+
+const stableDiffInstance = axios.create({
+	baseURL: "http://stable.nessar.fr/",
+	timeout: 0,
+	cancelToken: cancelRequest.token
 });
 
 const responseBody = (response: AxiosResponse) => response.data;
@@ -14,7 +49,12 @@ const requests = {
 	get: (url: string, param: {}) => instance.get(url, param).then(responseBody),
 	post: (url: string, body: {}) => instance.post(url, body, { headers: { "Content-Type": "multipart/form-data" }, }).then(responseStatus),
 	put: (url: string, body: {}) => instance.put(url, body).then(responseBody),
-	delete: (url: string) => instance.delete(url).then(responseBody)
+	delete: (url: string) => instance.delete(url).then(responseBody),
+};
+
+const stableDiffRequests = {
+	get: (url: string, param: {}) => stableDiffInstance.get(url, param).then(responseBody),
+	post: (url: string, body: {}) => stableDiffInstance.post(url, body, { headers: { "Content-Type": "application/json" }, }).then(responseBody),
 };
 
 export const api = {
@@ -23,4 +63,18 @@ export const api = {
 	getImage: (id: number, filter: Filter | undefined): Promise<Blob> => requests.get(`images/${id}${filter !== undefined ? "?algorithm=" + filter.path + getParameters(filter) : ""}`, { responseType: "blob" }),
 	createImage: (form: FormData): Promise<HttpStatusCode> => requests.post('images', form),
 	deleteImage: (id: number): Promise<void> => requests.delete(`images/${id}`),
+	generateImage: (prompt: string, negativePrompt: string, height: number, width: number, steps: number, cfgScale: number): Promise<generateImageInterface> => stableDiffRequests.post('sdapi/v1/txt2img', {
+		"prompt": prompt,
+		"negative_prompt": negativePrompt,
+		"height": height,
+		"width": width,
+		"steps": steps,
+		"cfg_scale": cfgScale,
+		"do_not_save_samples": true,
+		"do_not_save_grid": true,
+		"sampler_index": "Euler a",
+		"send_images": true,
+		"save_images": false,
+	}),
+	progress: (): Promise<progressInterface> => stableDiffRequests.get('sdapi/v1/progress', {}),
 };

frontend/src/navi.css

@@ -0,0 +1,43 @@
+.navi {
+	/* reduce size of children */
+	display: flex;
+	flex-direction: row-reverse;
+	pointer-events: none;
+	gap: 3vw;
+}
+
+.navi ul>li {
+	position: relative;
+	display: flex;
+	align-items: center;
+	justify-content: center;
+}
+
+.navi h3,
+.navi a {
+	min-width: 90px;
+	padding: 5px 15px;
+	border-radius: 60px;
+	color: rgb(172, 165, 154);
+	text-decoration: none;
+	font-family: "Aeonik", sans-serif;
+}
+
+.navi nav {
+	display: flex;
+	justify-content: center;
+	padding-left: 20px;
+	height: 60px;
+	padding-right: 20px;
+	border-radius: 60px;
+	background-color: rgb(24, 26, 27);
+	margin-right: 20px;
+	pointer-events: auto;
+}
+
+
+.navi ul {
+	display: flex;
+	list-style: none;
+	padding-inline-start: 0;
+}

frontend/src/router/index.ts

@@ -18,6 +18,11 @@ const router = createRouter({
 			name: "upload",
 			component: () => import('../components/Upload.vue')
 		},
+		{
+			path: '/generateImages',
+			name: "generate",
+			component: () => import('../components/StableDiff.vue')
+		},
 		{
 			path: '/:pathMatch(.*)*',
 			name: 'not-found',