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- import numpy as np
- import cv2
- import copy
- def get_image_blending(image,face,face_box,mask_array,crop_box):
- body = image
- x, y, x1, y1 = face_box
- x_s, y_s, x_e, y_e = crop_box
- face_large = copy.deepcopy(body[y_s:y_e, x_s:x_e])
- face_large[y-y_s:y1-y_s, x-x_s:x1-x_s]=face
- mask_image = cv2.cvtColor(mask_array,cv2.COLOR_BGR2GRAY)
- mask_image = (mask_image/255).astype(np.float32)
- # mask_not = cv2.bitwise_not(mask_array)
- # prospect_tmp = cv2.bitwise_and(face_large, face_large, mask=mask_array)
- # background_img = body[y_s:y_e, x_s:x_e]
- # background_img = cv2.bitwise_and(background_img, background_img, mask=mask_not)
- # body[y_s:y_e, x_s:x_e] = prospect_tmp + background_img
- #print(mask_image.shape)
- #print(cv2.minMaxLoc(mask_image))
- body[y_s:y_e, x_s:x_e] = cv2.blendLinear(face_large,body[y_s:y_e, x_s:x_e],mask_image,1-mask_image)
- #body.paste(face_large, crop_box[:2], mask_image)
- return body
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