import cv2
from matplotlib import pyplot as plt


def show_mpl(image):

    fig, ax = plt.subplots(1, 1)
    fig.set_size_inches(20, 20)
    ax.imshow(image)
    plt.show()


def show_cv2(image):

    cv2.imshow("", image)
    cv2.waitKey(0)


def copy_and_normalize_channels(image):

    image = image.copy()
    try:
        image = cv2.cvtColor(image, cv2.COLOR_GRAY2BGR)
    except cv2.error:
        pass

    return image


def draw_contours(image, contours):

    image = copy_and_normalize_channels(image)

    for cont in contours:
        cv2.drawContours(image, cont, -1, (0, 255, 0), 4)

    return image


def draw_rectangles(image, rectangles, color=None):

    image = copy_and_normalize_channels(image)

    if not color:
        color = (0, 255, 0)

    for rect in rectangles:
        x, y, w, h = rect
        cv2.rectangle(image, (x, y), (x + w, y + h), color, 2)

    return image


def draw_stats(image, stats, annotate=False):

    image = copy_and_normalize_channels(image)

    keys = ["x", "y", "w", "h"]

    def annotate_stat(x, y, w, h):

        for i, (s, v) in enumerate(zip(keys, [x, y, w, h])):
            anno = f"{s} = {v}"
            xann = int(x + 5)
            yann = int(y + h - (20 * (i + 1)))
            cv2.putText(image, anno, (xann, yann), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 255, 0), 2)

    def draw_stat(stat):

        x, y, w, h, area = stat

        cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 2)

        if annotate:
            annotate_stat(x, y, w, h)

    for stat in stats[2:]:
        draw_stat(stat)

    return image