This Python script is designed to convert negative images into positive ones. It uses the OpenCV and NumPy libraries to perform image processing tasks.

The script contains several functions that work together to process the image:

1. invert_colors(image): This function inverts the colors of the image. It subtracts the color values of the image from 255, effectively creating a negative of the image.

2. find_darkest_brightest_neutral_gray_pixels(image): This function finds the darkest, brightest, and a neutral gray pixel in the image. These values are used later to adjust the color balance of the image.

3. apply_curves_adjustment(image, darkest_rgb, brightest_rgb, neutral_gray_rgb): This function adjusts the color balance of the image based on the darkest, brightest, and a neutral gray points found earlier.

4. process_image(image_path): This is the main function that brings everything together. It loads an image, inverts its colors, finds the darkest, brightest, and a neutral gray pixels, applies color balance adjustments, and finally displays the adjusted image.

To use this script, simply call the process_image(image_path) function with the path to your negative image as the argument.