import cv2 import numpy as np def paste_object(source, source_mask, target, target_coords, resize_scale=1): assert target_coords[0] < target.shape[1] and target_coords[1] < target.shape[0] # Find the bounding box of the source_mask x, y, w, h = cv2.boundingRect(source_mask) assert h < source.shape[0] and w < source.shape[1] obj = source[y:y+h, x:x+w] obj_msk = source_mask[y:y+h, x:x+w] if resize_scale != 1: obj = cv2.resize(obj, (0,0), fx=resize_scale, fy=resize_scale) obj_msk = cv2.resize(obj_msk, (0,0), fx=resize_scale, fy=resize_scale) _, _, w, h = cv2.boundingRect(obj_msk) xt = max(0, target_coords[0]-w//2) yt = max(0, target_coords[1]-h//2) if target_coords[0]-w//2 < 0: obj = obj[:, w//2-target_coords[0]:] obj_msk = obj_msk[:, w//2-target_coords[0]:] if target_coords[0]+w//2 > target.shape[1]: obj = obj[:, :target.shape[1]-target_coords[0]+w//2] obj_msk = obj_msk[:, :target.shape[1]-target_coords[0]+w//2] if target_coords[1]-h//2 < 0: obj = obj[h//2-target_coords[1]:, :] obj_msk = obj_msk[h//2-target_coords[1]:, :] if target_coords[1]+h//2 > target.shape[0]: obj = obj[:target.shape[0]-target_coords[1]+h//2, :] obj_msk = obj_msk[:target.shape[0]-target_coords[1]+h//2, :] _, _, w, h = cv2.boundingRect(obj_msk) target[yt:yt+h, xt:xt+w][obj_msk==255] = obj[obj_msk==255] target_mask = np.zeros_like(target) target_mask = cv2.cvtColor(target_mask, cv2.COLOR_BGR2GRAY) target_mask[yt:yt+h, xt:xt+w][obj_msk==255] = 255 return target, target_mask if __name__ == '__main__': source = cv2.imread('example/boat.jpg') source_mask = cv2.imread('example/boat_mask_1.png', 0) target = cv2.imread('example/hippopotamus.jpg') print(source.shape, source_mask.shape, target.shape) target_coords = (700, 400) # (x, y) resize_scale = 1 target, target_mask = paste_object(source, source_mask, target, target_coords, resize_scale) cv2.imwrite('target_pasted.png', target) cv2.imwrite('target_mask.png', target_mask) print(target.shape, target_mask.shape)