Create Car_Transperance_bg.py

Car_Transperance_bg.py

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+import cv2
+import numpy as np
+import os
+
+# Paths (change these to your actual file paths)
+image_path = "car.jpg"  # Original car image
+mask_path = "car_mask.png"  # Segmented mask image
+output_path = "car_transparent.png"  # Output image
+
+# Load images
+car_image = cv2.imread(image_path, cv2.IMREAD_UNCHANGED)  # Read original image
+mask = cv2.imread(mask_path, cv2.IMREAD_GRAYSCALE)  # Read mask in grayscale
+
+# Ensure both images are the same size
+if car_image.shape[:2] != mask.shape[:2]:
+    mask = cv2.resize(mask, (car_image.shape[1], car_image.shape[0]))
+
+# Normalize mask to be binary (0 for background, 255 for car)
+_, binary_mask = cv2.threshold(mask, 128, 255, cv2.THRESH_BINARY)
+
+# Create an alpha channel where car is visible (255) and background is transparent (0)
+alpha_channel = binary_mask.copy()
+
+# Convert original image to RGBA (add alpha channel)
+rgba_image = cv2.cvtColor(car_image, cv2.COLOR_BGR2BGRA)
+rgba_image[:, :, 3] = alpha_channel  # Assign alpha channel
+
+# Save the output as a transparent PNG
+cv2.imwrite(output_path, rgba_image)
+
+print(f"✅ Transparent image saved at: {output_path}")