import cv2
import numpy as np
import os 

def is_bgr(image):
    """
    Heuristic check to see if an image is in BGR format.
    This function checks if the values at a specific pixel match the expected BGR to RGB order.
    """
    # Choose a pixel to check (e.g., the top-left corner)
    pixel = image[0, 0]
    
    # Check if the pixel values match BGR order
    # This is a heuristic; it assumes the color channels have distinct values.
    return pixel[0] > pixel[1] and pixel[1] > pixel[2]

def convert_bgr_to_rgb(image):
    return cv2.cvtColor(image, cv2.COLOR_BGR2RGB)

def convert_rgb_to_bgr(image):
    return cv2.cvtColor(image, cv2.COLOR_RGB2BGR)


def crop_video(input_path, output_path, x, y, width, height):
    # Open the input video
    cap = cv2.VideoCapture(input_path)

    if not cap.isOpened():
        print("Error: Could not open video.")
        return

    # Get the width and height of the frames
    original_width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
    original_height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
    fps = cap.get(cv2.CAP_PROP_FPS)

    # Define the codec and create VideoWriter object
    fourcc = cv2.VideoWriter_fourcc(*'mp4v')  # You can also use other codecs
    out = cv2.VideoWriter(output_path, fourcc, fps, (width, height))

    while cap.isOpened():
        ret, frame = cap.read()
        if not ret:
            break

        # Crop the frame
        cropped_frame = frame[y:y+height, x:x+width]

        # Write the cropped frame to the output video file
        out.write(cropped_frame)

    # Release everything if job is finished
    cap.release()
    out.release()
    cv2.destroyAllWindows()

    print(f"Cropping completed. Saved to {output_path}")