How to obtain the BGR value of picture pixels and generate a solid color map by Python

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Dependent installation

You need to use opencv and numpy. The installation commands are as follows:

Pip install opencv-python-I https://pypi.douban.com/simplepip install numpy-I https://pypi.douban.com/simple code

No nonsense, go to the code.

#! / user/bin/env python# coding=utf-8 "" @ project: csdn@author: swordsman A Liang _ ALiang@file: make_pic_tool.py@ide: PyCharm@time: 2022-01-11 08:34:31 "import cv2import osimport numpy as npimport uuid # gets the image coordinate bgr value def get_pix_bgr (image_path: str, x: int Y: int): ext = os.path.basename (image_path). Strip (). Split ('.') [- 1] if ext not in ['png',' jpg']: raise Exception ('format error') img = cv2.imread (image_path) px = img [x, y] blue = img [x, y, 0] green = img [x, y, 1] red = img [x, y, 2] return blue, green Red # build a solid color map def make_one_color_pic (output_dir: str, image_path: str, coordinates: tuple, resolution: tuple): blue, green, red = get_pix_bgr (image_path, coordinates [0], coordinates [1]) img = np.zeros ((resolution [1], resolution [0], 3), np.uint8) # create BGR solid color diagram img [:] = [blue, green Red] result_image = os.path.join (output_dir,'{} .jpg '.format (uuid.uuid1 () hex)) cv2.imwrite (result_image, img) return result_image if _ _ name__ =' _ _ main__': print (make_one_color_pic (ritual C:\ Users\ huyi\ Desktop', ritual C:\ Users\ huyi\ Desktop\ 2054146.jpg, (300,300), (1080, 1920)

Code description:

1. The input parameters of the get_pix_bgr method are the image address and coordinate location, respectively, to obtain the BGR value.

2. The make_one_color_pic method is the final method to generate a solid color graph. The parameters include the output directory address, picture address, coordinate location, final picture resolution, and output final image path.

3. Use uuid for the final picture name to avoid repetition.

4. Do a simple file suffix check. If you need to modify it, you can add it yourself.

Verify it.

Prepared picture

Execution result

The final picture

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