first commit

imageGen.py

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+from PIL import Image, ImageDraw, ImageFont
+
+
+

main.py

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+from PIL import Image, ImageDraw, ImageFont
+import numpy as np
+import os
+
+def imageToAsciiText(path, cell_size=(8, 8)):
+    image = Image.open(path)
+    image = image.convert('L')  # Convert to grayscale
+    width, height = image.size
+    pixels = np.array(image)
+    ascii_characters = "@%#*+=-:. "  # From darkest to lightest
+    result = ""
+
+    for i in range(0, height, cell_size[1]):
+        for j in range(0, width, cell_size[0]):
+            cell = pixels[i:i+cell_size[1], j:j+cell_size[0]]
+            if cell.size == 0:
+                continue
+            average_brightness = np.mean(cell)
+            character_index = int(average_brightness * (len(ascii_characters) - 1) / 255)
+            result += ascii_characters[character_index]
+        result += '\n'
+
+    print(result)
+    return result
+
+def asciiTextToImage(asciiText, outputPath, fontPath, fontSize):
+    # Split the ASCII art into lines
+    lines = asciiText.split('\n')
+    
+    # Calculate the image size needed
+    font = ImageFont.truetype(os.path.join(currentDir, fontPath), fontSize)
+    max_width = max([len(line) for line in lines])
+    image_width = max_width * fontSize
+    image_height = len(lines) * fontSize
+    
+    # Create a new blank image
+    image = Image.new('RGB', (image_width, image_height), 'black')
+    draw = ImageDraw.Draw(image)
+    
+    # Draw each line of ASCII art
+    y = 0
+    for line in lines:
+        draw.text((0, y), line, fill='white', font=font, spacing=0)
+        y += fontSize
+
+    return image
+
+
+# Example usage
+# Get the current directory
+currentDir = os.path.dirname(os.path.abspath(__file__))
+
+# Create the export directory if it doesn't exist
+exportDir = os.path.join(currentDir, "output")
+os.makedirs(exportDir, exist_ok=True)
+
+# Edit params
+cellSize = (8, 8)
+fontPath = 'fonts/couri.ttf'  # Specify the path to your font file
+fontSize = 12  # Adjust font size as needed
+
+# Process all images in the current directory
+for filename in os.listdir(currentDir):
+    if filename.endswith(".jpg") or filename.endswith(".png"):
+        # Construct the full path of the image
+        imagePath = os.path.join(currentDir, filename)
+
+        # Generate the output file name
+        outputFilename = os.path.splitext(filename)[0] + "_asciiart.jpg"
+        outputPath = os.path.join(exportDir, outputFilename)
+
+        # Call the  imageToAsciiText function and save the result to the output file
+        asciiText = imageToAsciiText(imagePath, cellSize)
+        asciiImage = asciiTextToImage(asciiText, outputPath, fontPath, int(cellSize[0]))
+
+        asciiImage.save(outputPath)
+
+        # Print the output file path
+        print(f"Processed image: {outputPath}")
+
+

temp.py

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+from PIL import Image, ImageDraw, ImageFont
+import numpy as np
+
+def generer_images_ascii(taille_cellule, font_path="arial.ttf", font_size=14):
+    caracteres_ascii = "@%#*+=-:. "
+    images_ascii = {}
+    font = ImageFont.truetype(font_path, font_size)
+
+    for caractere in caracteres_ascii:
+        image = Image.new('L', taille_cellule, "black")
+        draw = ImageDraw.Draw(image)
+        w, h = draw.textsize(caractere, font=font)
+        draw.text(((taille_cellule[0]-w)/2, (taille_cellule[1]-h)/2), caractere, fill="white", font=font)
+        images_ascii[caractere] = np.array(image)
+
+    return images_ascii
+
+def comparer_cellule_avec_ascii(cellule, images_ascii):
+    scores = {}
+    for caractere, image_ascii in images_ascii.items():
+        difference = np.abs(cellule - image_ascii)
+        score = np.mean(difference)
+        scores[caractere] = score
+    return min(scores, key=scores.get)
+
+def charger_image_et_convertir_ascii(chemin, taille_cellule=(8, 8), font_path="arial.ttf", font_size=14):
+    image = Image.open(chemin)
+    image = image.convert('L')
+    largeur, hauteur = image.size
+    pixels = np.array(image)
+    images_ascii = generer_images_ascii(taille_cellule, font_path, font_size)
+    resultat = ""
+
+    for i in range(0, hauteur, taille_cellule[1]):
+        for j in range(0, largeur, taille_cellule[0]):
+            cellule = pixels[i:i+taille_cellule[1], j:j+taille_cellule[0]]
+            if cellule.shape[0] != taille_cellule[1] or cellule.shape[1] != taille_cellule[0]:
+                continue
+            caractere = comparer_cellule_avec_ascii(cellule, images_ascii)
+            resultat += caractere
+        resultat += '\n'
+
+    return resultat
+
+# Exemple d'utilisation
+chemin_image = "chemin/vers/votre/image.jpg"
+taille_cellule = (8, 8)  # Ajustez selon les besoins
+font_path = "arial.ttf"  # Ajustez le chemin vers la police si nécessaire
+font_size = 14  # Ajustez la taille de la police si nécessaire
+resultat_ascii = charger_image_et_convertir_ascii(chemin_image, taille_cellule, font_path, font_size)
+print(resultat_ascii)