Function save_combined_frames

train_single.py:99–126

(batch_output, validation_images, validation_control_images, output_folder)

def save_combined_frames(batch_output, validation_images, validation_control_images, output_folder):
    # Flatten batch_output, which is a list of lists of PIL Images
    flattened_batch_output = [img for sublist in batch_output for img in sublist]

    # Combine frames into a list without converting (since they are already PIL Images)
    combined_frames = validation_images + validation_control_images + flattened_batch_output

    # Calculate rows and columns for the grid
    num_images = len(combined_frames)
    cols = 3  # adjust number of columns as needed
    rows = (num_images + cols - 1) // cols
    timestamp = datetime.datetime.now().strftime("%Y%m%d-%H%M%S")

    filename = f"combined_frames_{timestamp}.png"
    # Create and save the grid image
    grid = create_image_grid(combined_frames, rows, cols)
    output_folder = os.path.join(output_folder, "validation_images")
    os.makedirs(output_folder, exist_ok=True)

    # Now define the full path for the file
    timestamp = datetime.datetime.now().strftime("%Y%m%d-%H%M%S")
    filename = f"combined_frames_{timestamp}.png"
    output_loc = os.path.join(output_folder, filename)

    if grid is not None:
        grid.save(output_loc)
    else:
        print("Failed to create image grid")


# def load_images_from_folder(folder):