import numpy as np
import matplotlib.pyplot as plt


def simple_cmfd_decoder(busterNetModel, rgb):
    """A simple BusterNet CMFD decoder"""
    # 1. expand an image to a single sample batch
    single_sample_batch = np.expand_dims(rgb, axis=0)
    # 2. perform busterNet CMFD
    pred = busterNetModel.predict(single_sample_batch)[0]
    return pred


def visualize_result(rgb, gt, pred, figsize=(12, 4), title=None):
    """Visualize raw input, ground truth, and BusterNet result"""
    fig = plt.figure(figsize=figsize)

    plt.subplot(1, 3, 1)
    plt.imshow(rgb)
    plt.title("input image")
    plt.subplot(1, 3, 2)
    plt.title("ground truth")
    plt.imshow(gt)
    plt.subplot(1, 3, 3)
    plt.imshow(pred)
    plt.title("busterNet pred")
    return fig