def img_color(card_imgs):

    colors = []

    for card_index, card_img in enumerate(card_imgs):

        green = yello = blue = black = white = 0

        card_img_hsv = cv2.cvtColor(card_img, cv2.COLOR_BGR2HSV)

        # 有转换失败的可能，原因来自于上面矫正矩形出错

        if card_img_hsv is None:

            continue

        row_num, col_num = card_img_hsv.shape[:2]

        card_img_count = row_num * col_num

        for i in range(row_num):

            for j in range(col_num):

                H = card_img_hsv.item(i, j, 0)

                S = card_img_hsv.item(i, j, 1)

                V = card_img_hsv.item(i, j, 2)

                if 11 < H <= 34 and S > 34:

                    yello += 1

                elif 35 < H <= 99 and S > 34:

                    green += 1

                elif 99 < H <= 124 and S > 34:

                    blue += 1

                if 0 < H < 180 and 0 < S < 255 and 0 < V < 46:

                    black += 1

                elif 0 < H < 180 and 0 < S < 43 and 221 < V < 225:

                    white += 1

        color = "no"

        limit1 = limit2 = 0

        if yello * 2 >= card_img_count:

            color = "yello"

            limit1 = 11

            limit2 = 34  # 有的图片有色偏偏绿

        elif green * 2 >= card_img_count:

            color = "green"

            limit1 = 35

            limit2 = 99

        elif blue * 2 >= card_img_count:

            color = "blue"

            limit1 = 100

            limit2 = 124  # 有的图片有色偏偏紫

        elif black + white >= card_img_count * 0.7:

            color = "bw"

        colors.append(color)

        card_imgs[card_index] = card_img

        if limit1 == 0:

            continue

        xl, xr, yh, yl = accurate_place(card_img_hsv, limit1, limit2, color)

        if yl == yh and xl == xr:

            continue

        need_accurate = False

        if yl >= yh:

            yl = 0

            yh = row_num

            need_accurate = True

        if xl >= xr:

            xl = 0

            xr = col_num

            need_accurate = True

        if color =="green":

            card_imgs[card_index] = card_img

        else:

            card_imgs[card_index] = card_img[yl:yh, xl:xr] if color != "green" or yl < (yh - yl) // 4 else card_img[

                                                                                                            yl - (

                                                                                                                        yh - yl) // 4:yh,

                                                                                                            xl:xr]

        if need_accurate:

            card_img = card_imgs[card_index]

            card_img_hsv = cv2.cvtColor(card_img, cv2.COLOR_BGR2HSV)

            xl, xr, yh, yl = accurate_place(card_img_hsv, limit1, limit2, color)

            if yl == yh and xl == xr:

                continue

            if yl >= yh:

                yl = 0

                yh = row_num

            if xl >= xr:

                xl = 0

                xr = col_num

        if color =="green":

            card_imgs[card_index] = card_img

        else:

            card_imgs[card_index] = card_img[yl:yh, xl:xr] if color != "green" or yl < (yh - yl) // 4 else card_img[

                                                                                                            yl - (

                                                                                                                        yh - yl) // 4:yh,

                                                                                                            xl:xr]

    return  colors,card_imgs

def accurate_place(card_img_hsv, limit1, limit2, color):

    row_num, col_num = card_img_hsv.shape[:2]

    xl = col_num

    xr = 0

    yh = 0

    yl = row_num

    row_num_limit = 21

    col_num_limit = col_num * 0.8 if color != "green" else col_num * 0.5  # 绿色有渐变

    for i in range(row_num):

        count = 0

        for j in range(col_num):

            H = card_img_hsv.item(i, j, 0)

            S = card_img_hsv.item(i, j, 1)

            V = card_img_hsv.item(i, j, 2)

            if limit1 < H <= limit2 and 34 < S and 46 < V:

                count += 1

        if count > col_num_limit:

            if yl > i:

                yl = i

            if yh < i:

                yh = i

    for j in range(col_num):

        count = 0

        for i in range(row_num):

            H = card_img_hsv.item(i, j, 0)

            S = card_img_hsv.item(i, j, 1)

            V = card_img_hsv.item(i, j, 2)

            if limit1 < H <= limit2 and 34 < S and 46 < V:

                count += 1

        if count > row_num - row_num_limit:

            if xl > j:

                xl = j

            if xr < j:

                xr = j

    return xl, xr, yh, yl