def get_color_ration(pixels_statistic):
"""计算图中最主要的四种颜色的分布 / Get the 4 main colors' ratio in image
一幅4字的彩色验证码中，我们把占图片比例最多的四种颜色，根据面积由大到小排列为：first, second, third, fourth
考虑到噪点和干扰线，四个字颜色分布可能为
Type_A - 4个字分为4种不同颜色：first : second ∈ [1, 1.5) && second : third ∈ [1,1.5)
Type_B - 4个字分为3种不同颜色，其中2个字颜色一样： first : second ∈ [1.5, 2.5) && second : third ∈ [1, 1.5)
Type_C - 4个字分为2种不同颜色，每种颜色2个字： first:second ∈ [1, 1.5) && second : third ∈ [3.5, ∞)
Type_D - 4个字分为2种不同颜色，其中1种颜色3个字，1种颜色1个字： first : second ∈ [2.5, 3.5)
Type_E - 4个字颜色相同： first : second ∈ [3.5, ∞)
:param
pixels_statistic: 像数统计结果 / The result of the statistic of pixel
:return:
string color_ratio_type:
"""
if isinstance(pixels_statistic, dict):
pixels_statistic_temp = pixels_statistic.copy()
first = CustomDataStructureUtil.get_max(pixels_statistic_temp)
pixels_statistic_temp.pop(first[0])
second = CustomDataStructureUtil.get_max(pixels_statistic_temp)
pixels_statistic_temp.pop(second[0])
rotia_first_second = first[1] / second[1]
if 1 <= rotia_first_second < 1.5:
third = CustomDataStructureUtil.get_max(pixels_statistic_temp)
pixels_statistic_temp.pop(third[0])
rotia_second_third = second[1] / third[1]
if 1 <= rotia_second_third < 1.5:
return ColorRatioType.__TYPE_A__
elif rotia_second_third > 3.5:
return ColorRatioType.__TYPE_C__
elif 1.5 <= rotia_first_second < 2.5:
return ColorRatioType.__TYPE_B__
elif 2.5 <= rotia_first_second < 3.5:
return ColorRatioType.__TYPE_D__
elif 3.5 <= rotia_first_second:
return ColorRatioType.__TYPE_E__
