0b4ac4b760ca1edce1dae8b1f481a46f9a38126d,ludwig/data/dataset_synthesizer.py,,generate_image,#Any#,249

Before Change

        sys.exit(-1)

    // Read num_channels, width, height
    num_channels = feature["preprocessing"]["num_channels"]
    width = feature["preprocessing"]["width"]
    height = feature["preprocessing"]["height"]
    image_dest_folder = feature["destination_folder"]

After Change

    // Read num_channels, width, height
    destination_folder = feature.get("destination_folder", "image_files")
    if PREPROCESSING in feature:
        height = feature[PREPROCESSING].get("height", 28)
        width = feature[PREPROCESSING].get("width", 28)
        num_channels = feature[PREPROCESSING].get("num_channels", 1)
    else:
        height = feature.get("height", 28)
        width = feature.get("width", 28)
        num_channels = feature.get("num_channels", 1)

    if width <= 0 or height <= 0 or num_channels < 1:
        raise ValueError("Invalid arguments for generating images")

    // Create a Random Image

Instances