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app.py

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+import cv2
+import numpy as np
+import gradio as gr
+
+# Mozaik Efekti
+def apply_mosaic_filter(frame, block_size=20):
+    (h, w) = frame.shape[:2]
+    y_blocks = h // block_size
+    x_blocks = w // block_size
+    
+
+    for y in range(y_blocks):
+        for x in range(x_blocks):
+            x_start, y_start = x * block_size, y * block_size
+            x_end, y_end = x_start + block_size, y_start + block_size
+            block = frame[y_start:y_end, x_start:x_end]
+            color = cv2.mean(block)[:3]
+            frame[y_start:y_end, x_start:x_end] = color
+    return frame
+
+def apply_color_change(frame, red_ratio=1.5, green_ratio=1.0, blue_ratio=0.5):
+    b, g, r = cv2.split(frame)
+    r = cv2.multiply(r, red_ratio)
+    g = cv2.multiply(g, green_ratio)
+    b = cv2.multiply(b, blue_ratio)
+    frame = cv2.merge((b, g, r))
+    return frame
+
+# Gradio arayüzü
+with gr.Blocks() as demo:
+    gr.Markdown("# Özgün Görüntü İşleme Projesi: Mozaik ve Renk Değiştirme")
+
+    # Filtre Seçimi
+    filter_type = gr.Dropdown(
+        label="Filtre Seçin",
+        choices=["Mozaik", "Renk Değiştirme"],
+        value="Mozaik"
+    )
+    
+
+    input_image = gr.Image(label="Görüntü Yükle", type="numpy", height=200, width=200)
+    output_image = gr.Image(label="Filtre Uygulandı", height=200, width=200)
+
+
+    def apply_filter(filter_type, input_image=None):
+        if input_image is not None:
+            if filter_type == "Mozaik":
+                return apply_mosaic_filter(input_image, block_size=20)
+            elif filter_type == "Renk Değiştirme":
+                return apply_color_change(input_image, red_ratio=1.5, green_ratio=0.5, blue_ratio=1.2)
+        return input_image
+    
+
+    input_image.change(fn=apply_filter, inputs=[filter_type, input_image], outputs=output_image)
+    filter_type.change(fn=apply_filter, inputs=[filter_type, input_image], outputs=output_image)
+
+demo.launch()

requirements.txt

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+opencv-python
+numpy
+gradio