from PIL import Image
import cv2

# Open the image
img = cv2.imread('/Users/rajacsp/datasets/barcode_images/orange.jpg')


# save image with lower compression—bigger file size but faster decoding
#cv2.imwrite('/Users/str-kwml0011/datasets/random_images/tv.jpg', img, [cv2.IMWRITE_PNG_COMPRESSION, 0])

# check that image saved and loaded again image is the same as original one
#saved_img = cv2.imread(params.out_png)
#assert saved_img.all() == img.all()

# save image with lower quality—smaller file size
cv2.imwrite('/Users/rajacsp/datasets/barcode_images/orange_1.jpg', img, [cv2.IMWRITE_JPEG_QUALITY, 0])

True