Update README.md

README.md

@@ -40,25 +40,19 @@ def generate_noisy_images(num_images, image_size=(28, 28), output_dir='NoisyImag
         
     for i in range(num_images):
         variation_scale = abs(np.random.normal(30, 15))
-        # Generate random noise with reduced strength
+
         noise = np.random.rand(image_size[0], image_size[1]) * 0.05
         noise = (noise * 255).astype(np.uint8)
         
-        # Create a PIL image from the noise
-        image = Image.fromarray(noise, mode='L')  # 'L' for grayscale
+        image = Image.fromarray(noise, mode='L')
         
-        # Invert the image
         inverted_image = ImageOps.invert(image)
         
-        # Enhance the contrast with increased amplitude
         enhancer = ImageEnhance.Contrast(inverted_image)
-        contrast_enhanced_image = enhancer.enhance(variation_scale)  # Increased amplitude (e.g., 3.0)
+        contrast_enhanced_image = enhancer.enhance(variation_scale) 
         
-        # Save the image
         contrast_enhanced_image.save(os.path.join(output_dir, f'{i}.jpg'), format=image_format)
 
-# Generate 5000 noisy images
-generate_noisy_images(5000)
 ```
 
 ## ASCII Table
@@ -157,6 +151,4 @@ generate_noisy_images(5000)
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