Python implements changing the background color of photos (with code)

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Nowadays, there are many web-based tools for changing the background color online. How do they do this? In fact, it can be achieved using Python.

Environmental requirements

Python3
numpy function library
opencv library

Installation

Download the appropriate version of numpy function library, my computer is WIN10 64-bit, the installed function library is
numpy-1.13.1 mkl-cp36-cp36m-win_amd64.whl

Download the appropriate version of the numpy function library, my computer is WIN10 64-bit, the installed function The library is
opencv_python-3.3.1-cp36-cp36m-win_amd64.whl

Install the above two libraries, WIN R->CMD->CD to the folder where the current two libraries are located, Enter the following commands to install step by step

pip install numpy-1.13.1+mkl-cp36-cp36m-win_amd64.whl
pip install opencv_python-3.3.1-cp36-cp36m-win_amd64.whl

Download address of the above two files: https://download.csdn.net/dow...

Code

Create a new opencv.py in the current folder and copy the following code

import cv2
import  numpy as np

img=cv2.imread('timg.jpg')
#缩放
rows,cols,channels = img.shape
img=cv2.resize(img,None,fx=0.5,fy=0.5)
rows,cols,channels = img.shape
cv2.imshow('img',img)

#转换hsv
hsv=cv2.cvtColor(img,cv2.COLOR_BGR2HSV)
lower_blue=np.array([90,70,70])
upper_blue=np.array([110,255,255])
mask = cv2.inRange(hsv, lower_blue, upper_blue)
cv2.imshow('Mask', mask)

#腐蚀膨胀
erode=cv2.erode(mask,None,iterations=1)
cv2.imshow('erode',erode)
dilate=cv2.dilate(erode,None,iterations=1)
cv2.imshow('dilate',dilate)

#遍历替换
for i in range(rows):
    for j in range(cols):
        if dilate[i,j]==255:
            img[i,j]=(0,0,255)#此处替换颜色，为BGR通道
cv2.imshow('res',img)

cv2.waitKey(0)
cv2.destroyAllWindows()

Explanation

The fourth line of timg.jpg is The three values ​​​​in the original image path
lower_blue=np.array([90,70,70]) can control the processed effect and noise

WIN R->CMD->CD to opencv.py folder, run

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