CODEWITHSUNDEEP
pythonimageopencvsave
Curious G.
Curious G.

Reputation: 877

Save an image with the same name after editing in python opencv module

I'm trying to save an image with the same name after editing on opencv. I can save with the same name. But I can't save in different file. So, this is my code:

import cv2
import numpy as np
import glob

filename = [img for img in glob.glob("./mypath_1/*.jpg")]
flist=sorted(filename)
images = []
path='./mypath_2/'

for image in flist:
    img= cv2.imread(image)
    alpha=2
    beta=-420

    img2=cv2.addWeighted(img,alpha,np.zeros(img.shape,img.dtype),0,beta)
    hsv = cv2.cvtColor(img2, cv2.COLOR_BGR2HSV)
    cv2.imwrite( path+image, hsv)

Additionally, I tried this: cv2.imwrite( './mypath_2/'+image, hsv).

I do not save the image and I do not have a message error in this code.

Some suggestion?

Upvotes: 3

Views: 2076

Answers (2)

Harshith J Poojary
Harshith J Poojary

Reputation: 331

You can do it using 3 lines of code using nipath

import ntpath
filename = ntpath.basename("D:\coding\python\Sample Photos\1.jpg")
cv2.imwrite("D:\coding\python\Sample Photos\"+filename, img)

Upvotes: 1

Operator77
Operator77

Reputation: 424

import numpy as np
import cv2
import os
import sys
from pathlib import Path

if __name__ == "__main__":
    #get alpha and beta values
    alpha, beta =2, -420
    # get directory path where the images are stored
    image_dir = "/path/to/image read directory/"
    # get directory path where you want to save the images
    output_dir = "/path/to/image write directory/"
    #iterate through all the files in the image directory
    for _, _, image_names in os.walk(image_dir):
        #iterate through all the files in the image_dir
        for image_name in image_names:
            # check for extension .jpg
            if '.jpg' in image_name:
                # get image read path(path should not contain spaces in them)
                filepath = os.path.join(image_dir, image_name)
                # get image write path
                dstpath = os.path.join(output_dir, image_name)
                print(filepath, dstpath)
                # read the image
                image = cv2.imread(filepath)
                # do your processing
                image2 = cv2.addWeighted(image, alpha,np.zeros_like(image),0,beta)
                hsv = cv2.cvtColor(image2, cv2.COLOR_BGR2HSV)
                # write the image in a different path with the same name
                cv2.imwrite(dstpath, hsv)
                print(image.shape, image2.shape, hsv.shape)

Upvotes: 2

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