Python+OpenCV怎么实现多张png透明图像叠加在jpg图像上？？

Question

Python+OpenCV怎么实现多张png透明图像叠加在jpg图像上？？ 就和这张图片一样 多张png叠加在jpg图片上

Answer 1

使用opencv将png图片放到png或者jpg图片任意位置_东方佑-CSDN博客 图像处理 https://dongfangyou.blog.csdn.net/article/details/123031231

import cv2
import numpy as np
def gen_png_to_jpg(png_path,jpg_path,png_size=(),jpg_size=(),png_in_jpg_p=(0,0),out_path="",show=True):
    png_image = cv2.imread(png_path, cv2.IMREAD_UNCHANGED)
    jpg_image = cv2.imread(jpg_path, cv2.IMREAD_UNCHANGED)
    if jpg_size:
        jpg_image=cv2.resize(jpg_image,jpg_size)
    a_mask = png_image[:, :, -1]
    x, y = np.where(a_mask == 255)
    x_min = min(x)
    x_max = max(x)
    y_min = min(y)
    y_max = max(y)
    # 裁剪到最小
    new_png = png_image[x_min:x_max, y_min:y_max, :3].copy()
    new_mask = png_image[x_min:x_max, y_min:y_max, -1:].copy()
    if png_size:
        new_png=cv2.resize(new_png, png_size)
        new_mask=cv2.resize(new_mask,png_size)
        new_mask=new_mask.reshape(new_mask.shape[0],new_mask.shape[1],1)
    re_mask = (~new_mask == 255)
    if png_in_jpg_p[0]+re_mask.shape[1]<jpg_image.shape[1] or png_in_jpg_p[1]+re_mask.shape[0]<jpg_image.shape[0]:


        jpg_image[png_in_jpg_p[1]:re_mask.shape[0]+png_in_jpg_p[1], png_in_jpg_p[0]:re_mask.shape[1]+png_in_jpg_p[0], :] *= re_mask
        jpg_image[png_in_jpg_p[1]:re_mask.shape[0]+png_in_jpg_p[1], png_in_jpg_p[0]:re_mask.shape[1]+png_in_jpg_p[0], :] += new_png
        if out_path:
            cv2.imwrite(out_path,jpg_image)
        if show:
            cv2.imshow("",jpg_image )
            cv2.waitKey()

def gen_png_to_jpg_p(png_path,jpg_path,png_size=(),jpg_size=(),png_in_jpg_p=(0,0),out_path="",show=True):
    png_image = cv2.imread(png_path, cv2.IMREAD_UNCHANGED)
    if type(jpg_path)==type(""):
        jpg_image = cv2.imread(jpg_path, cv2.IMREAD_UNCHANGED)
    else:
        jpg_image=jpg_path
    if jpg_size:
        jpg_image=cv2.resize(jpg_image,jpg_size)
    a_mask = png_image[:, :, -1]
    x, y = np.where(a_mask == 255)
    x_min = min(x)
    x_max = max(x)
    y_min = min(y)
    y_max = max(y)
    # 裁剪到最小
    new_png = png_image[x_min:x_max, y_min:y_max, :3].copy()
    new_mask = png_image[x_min:x_max, y_min:y_max, -1:].copy()
    if png_size:
        new_png=cv2.resize(new_png, png_size)
        new_mask=cv2.resize(new_mask,png_size)
        new_mask=new_mask.reshape(new_mask.shape[0],new_mask.shape[1],1)
    re_mask = (~new_mask == 255)
    if png_in_jpg_p[0]+re_mask.shape[1]<jpg_image.shape[1] or png_in_jpg_p[1]+re_mask.shape[0]<jpg_image.shape[0]:


        jpg_image[png_in_jpg_p[1]:re_mask.shape[0]+png_in_jpg_p[1], png_in_jpg_p[0]:re_mask.shape[1]+png_in_jpg_p[0], :] *= re_mask
        jpg_image[png_in_jpg_p[1]:re_mask.shape[0]+png_in_jpg_p[1], png_in_jpg_p[0]:re_mask.shape[1]+png_in_jpg_p[0], :] += new_png
        if out_path:
            cv2.imwrite(out_path,jpg_image)
        if show:
            cv2.imshow("",jpg_image )
            cv2.waitKey()
    return jpg_image
def gen_pngs_to_jpg(jpg_path,png_path_list,png_size_list=None,jpg_size=(),png_in_jpg_p_list=None,out_path="",show=True):

    for i,png_path in enumerate(png_path_list):
        jpg_path=gen_png_to_jpg_p(png_path=png_path,jpg_path=jpg_path,jpg_size=jpg_size,png_size=png_size_list[i], png_in_jpg_p=png_in_jpg_p_list[i],out_path="",show=False)
        if show:
            cv2.imshow("",jpg_path)
            cv2.waitKeyEx()
    if out_path:
        cv2.imwrite(out_path,jpg_path)




if __name__ == '__main__':
    # gen_png_to_jpg("457788647446175.png","837709647446145.jpg",png_in_jpg_p=(1,50))
    gen_pngs_to_jpg("837709647446145.jpg",png_path_list=["457788647446175.png","457788647446175.png"],jpg_size=(),png_size_list=[(100,50),(100,50)],png_in_jpg_p_list=[(1,50),(103,50)])