🔒 Adding overlap behavior to randomly generated circles using cv2

[balmy wagon]

@fast inlet

Python help channel opened

Remember to:

• Ask your Python question, not if you can ask or if there's an expert who can help.
• Show a code sample as text (rather than a screenshot) and the error message, if you've got one.
• Explain what you expect to happen and what actually happens.

:warning: Do not pip install anything that isn't related to your question, especially if asked to over DMs.

Closes after a period of inactivity, or when you send !close.

[fast inlet]

def draw_circles(img, height, width, r_mean, r_std_dev, n, color, thickness=-1, exclude=[]):
    # Draw a group of non-overlapping circles with statistical inputs
    # Defaul thickness of -1 results in filled-in circles
    circle_list = make_circle_list(height, width, r_mean, r_std_dev, n, exclude)

    if circle_list is None:
        return

    for circle in circle_list:
        x, y, radius = circle
        center = (x, y)
        cv2.circle(img, center, radius, color, thickness)
    return circle_list

def create_background(height, width, color):
    # Create background image of specified size and color
    blank_image = np.ones((height, width, 3), np.uint8)
    blank_image[:] = color
    return blank_image


def save_image(img, name, directory):
    ksize = [9,9] # Gaussian blur kernal size
    img_blur = cv2.GaussianBlur(img, ksize, 0)

    name = name + '.png'
    name_blur = name + '_blur.png'

    os.chdir(directory)
    cv2.imwrite(name, img)
    cv2.imwrite(name_blur, img_blur)


def main():
    width = 1000
    height = 1000
    background_color = [0,0,0]

    img = create_background(height, width, background_color)

    # Generate AP particles
    r_mean = 35
    r_std_dev = 5
    n = 100
    color = [201, 27, 18] # [b, g, r]
    AP_list = draw_circles(img, height, width, r_mean, r_std_dev, n, color)

    # Generate void particles
    r_mean = 15
    r_std_dev = 10
    n = 75
    color = [53, 26, 232] # [b, g, r]
    draw_circles(img, height, width, r_mean, r_std_dev, n, color, -1, AP_list)

    save_dir = './output'
    image_name = 'circles'

    save_image(img, image_name, save_dir)

Some particularly relevant functions above

[solar coral]

I don't know much about CV2

But, there are quite a few ways you could go about it

if you access individual pixels

you can run a specialized loop for the pixels sitting inside a circle and check for overlap

[fast inlet]

!close

[balmy wagon]

Python help channel closed

This help channel has been closed and it's no longer possible to send messages here. If your question wasn't answered, feel free to create a new post in #1035199133436354600. To maximize your chances of getting a response, check out this guide on asking good questions.