SO, it started quite nicely with a fully working program. However nearing the end… or at the end of my programming experience or asking it to program something for me, it wrote in some nasty nasty screen flickering shit. I couldn’t stop it and it quickly just froze my screen where the only option was to push the button. I tried it a second time to confirm, but this time I was able to quickly go to a different CLI window and kill that sonobabich. Here is what it came up with in case you want to try it. maybe it only screws up my computer:

import os
import cv2
import numpy as np
import time
import tkinter as tk
from tkinter import messagebox, filedialog

def threshold_to_black(image_path, duration):
    original_image = cv2.imread(image_path)
    
    if original_image is None:
        print("Error: Could not read the image.")
        return

    height, width, _ = original_image.shape
    gray_image = cv2.cvtColor(original_image, cv2.COLOR_BGR2GRAY)
    steps = duration * 10  # 10 frames per second

    for i in range(steps + 1):
        # Calculate the threshold value (0 to 255)
        threshold = int((i / steps) * 255)
        
        # Create the thresholded image
        thresholded_image = np.where(gray_image < threshold, 0, 255).astype(np.uint8)

        # Resize the thresholded image to fill the window
        resized_image = cv2.resize(thresholded_image, (window_width, window_height), interpolation=cv2.INTER_LINEAR)

        # Display the thresholded image
        cv2.imshow(window_name, resized_image)

        # Wait for a short period to create the effect
        time.sleep(0.1)

        if cv2.waitKey(1) & 0xFF == ord('q'):
            break

    # Display the final black image
    cv2.imshow(window_name, np.zeros_like(thresholded_image))
    
    while True:
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break
    
    cv2.destroyAllWindows()

def select_image():
    current_directory = os.getcwd()  # Get the current directory
    filetypes = (
        ('JPEG files', '*.jpg'),
        ('JPEG files', '*.jpeg'),
        ('All files', '*.*')
    )
    
    filename = filedialog.askopenfilename(
        title='Select an Image',
        initialdir=current_directory,  # Start in the current directory
        filetypes=filetypes
    )
    
    if filename:
        return filename
    else:
        messagebox.showerror("Error", "No image selected.")
        return None

def get_duration():
    def submit():
        nonlocal total_duration
        try:
            minutes = int(minutes_entry.get())
            seconds = int(seconds_entry.get())
            total_duration = minutes * 60 + seconds
            if total_duration > 0:
                duration_window.destroy()
            else:
                messagebox.showerror("Error", "Duration must be greater than zero.")
        except ValueError:
            messagebox.showerror("Error", "Please enter valid integers.")

    total_duration = None
    duration_window = tk.Toplevel()
    duration_window.title("Input Duration")
    
    tk.Label(duration_window, text="Enter duration:").grid(row=0, columnspan=2)
    
    tk.Label(duration_window, text="Minutes:").grid(row=1, column=0)
    minutes_entry = tk.Entry(duration_window)
    minutes_entry.grid(row=1, column=1)
    minutes_entry.insert(0, "12")  # Set default value for minutes
    
    tk.Label(duration_window, text="Seconds:").grid(row=2, column=0)
    seconds_entry = tk.Entry(duration_window)
    seconds_entry.grid(row=2, column=1)
    seconds_entry.insert(0, "2")  # Set default value for seconds
    
    tk.Button(duration_window, text="Submit", command=submit).grid(row=3, columnspan=2)
    
    # Center the duration window on the screen
    duration_window.update_idletasks()  # Update "requested size" from geometry manager
    width = duration_window.winfo_width()
    height = duration_window.winfo_height()
    x = (duration_window.winfo_screenwidth() // 2) - (width // 2)
    y = (duration_window.winfo_screenheight() // 2) - (height // 2)
    duration_window.geometry(f'{width}x{height}+{x}+{y}')

    duration_window.transient()  # Make the duration window modal
    duration_window.grab_set()    # Prevent interaction with the main window
    duration_window.wait_window()  # Wait for the duration window to close

    return total_duration

def wait_for_start(image_path):
    global window_name, window_width, window_height

    original_image = cv2.imread(image_path)
    height, width, _ = original_image.shape

    window_name = 'Threshold to Black'
    cv2.namedWindow(window_name, cv2.WINDOW_NORMAL)
    cv2.resizeWindow(window_name, width, height)
    cv2.imshow(window_name, np.zeros((height, width, 3), dtype=np.uint8))  # Black window
    print("Press 's' to start the threshold effect. Press 'F11' to toggle full screen.")
    
    while True:
        key = cv2.waitKey(1) & 0xFF
        if key == ord('s'):
            break
        elif key == 255:  # F11 key
            toggle_fullscreen()

def toggle_fullscreen():
    global window_name
    fullscreen = cv2.getWindowProperty(window_name, cv2.WND_PROP_FULLSCREEN)
    
    if fullscreen == cv2.WINDOW_FULLSCREEN:
        cv2.setWindowProperty(window_name, cv2.WND_PROP_FULLSCREEN, cv2.WINDOW_NORMAL)
    else:
        cv2.setWindowProperty(window_name, cv2.WND_PROP_FULLSCREEN, cv2.WINDOW_FULLSCREEN)

if __name__ == "__main__":
    current_directory = os.getcwd()
    jpeg_files = [f for f in os.listdir(current_directory) if f.lower().endswith(('.jpeg', '.jpg'))]
    
    if jpeg_files:
        image_path = select_image()
        if image_path is None:
            print("No image selected. Exiting.")
            exit()

        duration = get_duration()
        if duration is None:
            print("No valid duration entered. Exiting.")
            exit()

        wait_for_start(image_path)

        # Get the original
    • werefreeatlast@lemmy.worldOP
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      2 months ago

      You know, AI was able to lock up my computer in less than a minute! Do you know how long it would take for me to do the same?

      I know python, but the exploration here is about how AI is all hype and 0 shits given to quality. It doesn’t know it has made a little mistake or a big one. It doesn’t actually know anything. It just sort of meanders from the question to the answer and it writes what other people might have written if they had written the previous 10 lines too.