From 12f0c5ae93b97ec9ce72a1bea1c961f50cb3acb4 Mon Sep 17 00:00:00 2001
From: Achille <achille.toupin@gadz.org>
Date: Fri, 5 Jul 2024 16:38:56 +0200
Subject: [PATCH] various

---
 .../cuantas-calorias-tiene-un-tomate.jpg      | Bin
 main.py                                       |  44 ++++++++++++------
 2 files changed, 31 insertions(+), 13 deletions(-)
 rename cuantas-calorias-tiene-un-tomate.jpg => input/cuantas-calorias-tiene-un-tomate.jpg (100%)

diff --git a/cuantas-calorias-tiene-un-tomate.jpg b/input/cuantas-calorias-tiene-un-tomate.jpg
similarity index 100%
rename from cuantas-calorias-tiene-un-tomate.jpg
rename to input/cuantas-calorias-tiene-un-tomate.jpg
diff --git a/main.py b/main.py
index a317292..9fce907 100644
--- a/main.py
+++ b/main.py
@@ -1,10 +1,9 @@
-from PIL import Image, ImageDraw, ImageFont
+from PIL import Image, ImageDraw, ImageFont, ImageFilter, ImageChops
 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)
     asciiCharacters = "@%#*+=-:. "  # From darkest to lightest
@@ -49,36 +48,55 @@ def asciiTextToImage(asciiText, fontPath, cellSize, fontSize, clarityFactor):
 
     return image
 
+def applySobelFilter(image):
+    # Convert the image to grayscale
+    grayImage = image.convert('L')
+
+    # Apply the Sobel filter
+    sobelX = grayImage.filter(ImageFilter.FIND_EDGES)
+    sobelY = grayImage.filter(ImageFilter.FIND_EDGES).rotate(90)
+
+    # Combine the horizontal and vertical edges
+    sobelImage = ImageChops.add(sobelX, sobelY)
+
+    return sobelImage
 
 # 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)
+outputDir = os.path.join(currentDir, "output")
+os.makedirs(outputDir, exist_ok=True)
 
-# Edit params
-cellSize = (8, 8)
+# Parameters
+cellSize = (32, 32)
 fontPath = 'fonts/courbd.ttf'  # Specify the path to your font file
-fontSize = 10  # font size in points
+fontSize = cellSize[0] * 1.2  # font size in points
 clarityFactor = 8  # Increase this value to improve the clarity of the ASCII art
 
 # Process all images in the current directory
-for filename in os.listdir(currentDir):
+inputDir = os.path.join(currentDir, "input")
+
+for filename in os.listdir(inputDir):
     if filename.endswith(".jpg") or filename.endswith(".png"):
         # Construct the full path of the image
-        imagePath = os.path.join(currentDir, filename)
+        imagePath = os.path.join(inputDir, filename)
 
         # Generate the output file name
         outputFilename = os.path.splitext(filename)[0] + "_asciiart.jpg"
-        outputPath = os.path.join(exportDir, outputFilename)
+        outputPath = os.path.join(outputDir, outputFilename)
+
+
+        # Load the image into a PIL image object and apply filters
+        image = Image.open(imagePath)
+        image = image.convert('L')  # Convert to grayscale
 
         # Call the  imageToAsciiText function and save the result to the output file
-        asciiText = imageToAsciiText(imagePath, cellSize)
+        asciiText = imageToAsciiText(image, cellSize)
         asciiImage = asciiTextToImage(asciiText, fontPath, int(cellSize[0]), fontSize, clarityFactor)
-
         asciiImage.save(outputPath)
 
+
         # Print the output file path
         print(f"Processed image: {outputPath}")