模糊图像的特定部分 [英] Blur a specific part of an image

问题描述

我有一张图片.像这样:

I have an image. Like this:

我检测到一个主题(在这种情况下为人)&它会像这样屏蔽图像:

I detect a subject(which is a person in this case) & it masks the image like this:

我希望主体的背景模糊.像这样:

I want the background of the subject to be blurrred. Like this:

下面是我尝试过的代码.以下代码只会模糊

Below is the code I have tried. the following code only blurs

import cv2
import numpy as np
from matplotlib import pyplot as plt
import os


path = 'selfies\\'
selfImgs = os.listdir(path)


for image in selfImgs:

    img = cv2.imread(path+image)
    img=cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
    blur = cv2.blur(img,(10,10))
    #canny = cv2.Canny(blur, 10, 30)

    #plt.imshow(canny)
    plt.imshow(blur)

    j=cv2.cvtColor(blur, cv2.COLOR_BGR2RGB)
    print(image)
    cv2.imwrite('blurred\\'+image+".jpg",j)

有什么方法可以仅模糊图像的特定部分.

Is there any way by which I can blur only specific part/parts of the image.

该项目基于 https://github.com/matterport/Mask_RCNN

如果需要，我可以提供更多信息.

I can provide more information if required.

我在numpy中有一种方法:-

I have an approach in numpy :-

final_image = original * mask + blurred * (1-mask)

推荐答案

您可以使用np.where()方法选择想要模糊值的像素，然后将其替换为:

You may use np.where() method to select the pixels where you want blurred values and then replace them as:

import cv2
import numpy as np

img = cv2.imread("/home/user/Downloads/lena.png")
blurred_img = cv2.GaussianBlur(img, (21, 21), 0)

mask = np.zeros((512, 512, 3), dtype=np.uint8)
mask = cv2.circle(mask, (258, 258), 100, np.array([255, 255, 255]), -1)

out = np.where(mask==np.array([255, 255, 255]), img, blurred_img)

cv2.imwrite("./out.png", out)

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