manual_blur_image.py

# author: Asmaa Mirkhan ~ 2019

import os
import argparse
import cv2


def blurBoxes(image, boxes):
    """
    Argument:
    image -- the image that will be edited as a matrix
    boxes -- list of boxes that will be blurred, each box must be int the format (x_top_left, y_top_left, width, height)

    Returns:
    image -- the blurred image as a matrix
    """

    for box in boxes:
        # unpack each box
        x, y, w, h = [d for d in box]

        # crop the image due to the current box
        sub = image[y:y+h, x:x+w]

        # apply GaussianBlur on cropped area
        blur = cv2.GaussianBlur(sub, (23, 23), 30)

        # paste blurred image on the original image
        image[y:y+h, x:x+w] = blur

    return image


def main(args):
    # open the image
    image = cv2.imread(args.input_image)

    # create a copy and do temp operations without affecting the original image
    temp_image = image.copy()

    # an array to store selected regions coordinates
    ROIs = []

    # keep getting ROIs until pressing 'q'
    while True:
        # get ROI cv2.selectROI(window_name, image_matrix, selecting_start_point)
        box = cv2.selectROI('blur', temp_image, fromCenter=False)

        # add selected box to box list
        ROIs.append(box)

        # draw a rectangle on selected ROI
        cv2.rectangle(temp_image, (box[0], box[1]),
                      (box[0]+box[2], box[1]+box[3]), (0, 255, 0), 3)
        print('ROI is saved, press q to stop capturing, press any other key to select other ROI')

        # if 'q' is pressed then break
        key = cv2.waitKey(0)
        if key & 0xFF == ord('q'):
            break

    # apply blurring
    image = blurBoxes(image, ROIs)

    # if image will be saved then save it
    if args.output_image:
        cv2.imwrite(args.output_image, image)
    cv2.imshow('blurred', image)
    cv2.waitKey(0)


if __name__ == "__main__":
    # creating argument parser
    parser = argparse.ArgumentParser(description='Image blurring parameters')

    # adding arguments
    parser.add_argument('-i', '--input_image',
                        help='Path to your image', type=str, required=True)
    parser.add_argument('-o', '--output_image',
                        help='Output file path', type=str)
    args = parser.parse_args()

    # if input image path is invalid then stop
    assert os.path.isfile(args.input_image), 'Invalid input file'

    # if output directory is invalid then stop
    if args.output_image:
        assert os.path.isdir(os.path.dirname(
            args.output_image)), 'No such directory'

    main(args)