python numpy + opencv + overlay image
import cv2 background = cv2.imread('field.jpg') overlay = cv2.imread('dice.png') added_image = cv2.addWeighted(background,0.4,overlay,0.1,0) cv2.imwrite('combined.png', added_image)
python numpy + opencv + overlay image
import cv2 background = cv2.imread('field.jpg') overlay = cv2.imread('dice.png') added_image = cv2.addWeighted(background,0.4,overlay,0.1,0) cv2.imwrite('combined.png', added_image)
python numpy + opencv + overlay image
import cv2 import numpy as np def overlay_transparent(background, overlay, x, y): background_width = background.shape[1] background_height = background.shape[0] if x >= background_width or y >= background_height: return background h, w = overlay.shape[0], overlay.shape[1] if x + w > background_width: w = background_width - x overlay = overlay[:, :w] if y + h > background_height: h = background_height - y overlay = overlay[:h] if overlay.shape[2] < 4: overlay = np.concatenate( [ overlay, np.ones((overlay.shape[0], overlay.shape[1], 1), dtype = overlay.dtype) * 255 ], axis = 2, ) overlay_image = overlay[..., :3] mask = overlay[..., 3:] / 255.0 background[y:y+h, x:x+w] = (1.0 - mask) * background[y:y+h, x:x+w] + mask * overlay_image return background
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