Update app.py

app.py

@@ -35,19 +35,24 @@ def apply_filter(image, filter_type, intensity):
         enhanced_image = np.array(image_pil)
         return enhanced_image
     elif filter_type == "Warm Tone":
-        warm_image = cv2.applyColorMap(image, cv2.COLORMAP_AUTUMN)
+        # 강도를 30%로 설정
+        warm_image = cv2.addWeighted(image, 1.0, np.full(image.shape, (30, 10, 0), dtype=np.uint8), 0.3 * normalized_intensity, 0)
         return warm_image
     elif filter_type == "Cold Tone":
-        cold_image = cv2.applyColorMap(image, cv2.COLORMAP_WINTER)
+        # 강도를 30%로 설정
+        cold_image = cv2.addWeighted(image, 1.0, np.full(image.shape, (0, 0, 40), dtype=np.uint8), 0.3 * normalized_intensity, 0)
         return cold_image
     elif filter_type == "High-Key":
-        high_key = cv2.convertScaleAbs(image, alpha=1.0 + 0.8 * normalized_intensity, beta=30)
+        # 강도를 30%로 설정
+        high_key = cv2.convertScaleAbs(image, alpha=1.0 + 0.3 * normalized_intensity, beta=20)
         return high_key
     elif filter_type == "Low-Key":
-        low_key = cv2.convertScaleAbs(image, alpha=1.0 - 0.7 * normalized_intensity, beta=-30)
+        # 강도를 30%로 설정
+        low_key = cv2.convertScaleAbs(image, alpha=1.0 - 0.3 * normalized_intensity, beta=-20)
         return low_key
     elif filter_type == "Haze":
-        haze = cv2.addWeighted(image, 1.0 - 0.7 * normalized_intensity, np.full(image.shape, 255, dtype=np.uint8), 0.3 * normalized_intensity, 0)
+        # 강도를 30%로 설정
+        haze = cv2.addWeighted(image, 1.0, np.full(image.shape, 255, dtype=np.uint8), 0.3 * normalized_intensity, 0)
         return haze
     else:
         return image