Panoramic Image (JPEG) to panning video (MP4) converter

pano_image_to_panning_video.py

# Made with ChatGPT
# Required packages:
# - Pillow
# - imageio
# - imageio-ffmpeg
# - numpy
# Usage example:
# create_panning_video('My_Pano_image.jpg', 'My_Pano_video.mp4', 90, 60)
from PIL import Image
import imageio
import numpy as np

def create_panning_video(input_image_path, output_video_path, duration_in_seconds, fps):
    # Load the image using Pillow
    image = Image.open(input_image_path)
    image.load()  # Load pixel data into memory

    # Calculate new width while maintaining the aspect ratio
    aspect_ratio = image.width / image.height
    new_width = int(1080 * aspect_ratio)

    # Resize the image using the LANCZOS filter (equivalent to older ANTIALIAS)
    image = image.resize((new_width, 1080), Image.Resampling.LANCZOS)

    # Image dimensions after resizing
    width, height = image.size

    # Define panning speed
    total_frames = duration_in_seconds * fps
    frames_per_direction = total_frames // 2
    total_distance = width - 1920
    pan_speed = total_distance / frames_per_direction

    # Open video writer using imageio
    with imageio.get_writer(output_video_path, fps=fps) as writer:

        # Panning from left to right
        for frame_num in range(frames_per_direction):
            x_offset = int(frame_num * pan_speed)
            frame = image.crop((x_offset, 0, x_offset + 1920, 1080))
            writer.append_data(np.asarray(frame))

        # Panning from right to left
        for frame_num in range(frames_per_direction):
            x_offset = int((frames_per_direction - frame_num) * pan_speed)
            frame = image.crop((x_offset, 0, x_offset + 1920, 1080))
            writer.append_data(np.asarray(frame))

    print("Video creation completed!")