Update app.py

app.py

@@ -69,6 +69,8 @@ def apply_filter(filter_type, input_image=None):
         return apply_fall_filter(frame)
     elif filter_type == "Mehmet":
         return apply_multiple_color_filters(frame)
+    elif filter_type == "Picasso":
+        return picasso_effect(frame)
 
 
 
@@ -90,6 +92,33 @@ def apply_multiple_color_filters(image):
     filtered_image = cv2.bitwise_and(image, image, mask=combined_mask)
     return filtered_image 
 
+def picasso_effect(image_array):
+    # Convert the RGB array to an image
+    image = cv2.cvtColor(image_array, cv2.COLOR_RGB2BGR)
+
+    # Apply bilateral filter to smooth the image while keeping edges sharp
+    filtered_image = cv2.bilateralFilter(image, d=9, sigmaColor=75, sigmaSpace=75)
+
+    # Convert to grayscale
+    gray_image = cv2.cvtColor(filtered_image, cv2.COLOR_BGR2GRAY)
+
+    # Apply edge detection
+    edges = cv2.Canny(gray_image, threshold1=100, threshold2=200)
+
+    # Dilate the edges to make them more pronounced
+    dilated_edges = cv2.dilate(edges, kernel=np.ones((3, 3), np.uint8), iterations=1)
+
+    # Invert the edges
+    inverted_edges = cv2.bitwise_not(dilated_edges)
+
+    # Convert edges to 3 channels
+    edges_colored = cv2.cvtColor(inverted_edges, cv2.COLOR_GRAY2BGR)
+
+    # Blend the edges with the original image
+    abstract_image = cv2.addWeighted(filtered_image, 0.7, edges_colored, 0.3, 0)
+
+    return abstract_image
+
      
 
 # Gradio arayüzü
@@ -99,8 +128,8 @@ with gr.Blocks() as demo:
     # Filtre seçenekleri
     filter_type = gr.Dropdown(
         label="Filtre Seçin",
-        choices=["Gaussian Blur", "Sharpen", "Edge Detection", "Invert", "Brightness", "Grayscale", "Sepia", "Sonbahar","Mehmet"],
-        value="Gaussian Blur"
+        choices=["Picasso","Gaussian Blur", "Sharpen", "Edge Detection", "Invert", "Brightness", "Grayscale", "Sepia", "Sonbahar","Mehmet"],
+        value="Picasso"
     )
 
     # Görüntü yükleme alanı