import numpy as np
import matplotlib.pyplot as plt

def convert_binary_to_hex(binary_string):
    decimal_value = int(binary_string, 2)
    hex_string = format(decimal_value, '02X')
    return hex_string

def main():
    with open('Raine1.txt', 'r') as file1, open('Gideon1.txt', 'r') as file2, open('Beryl1.txt', 'r') as file3:
        binary1 = file1.read()
        binary2 = file2.read()
        binary3 = file3.read()

        hex_colors = []
        for i in range(0, len(binary1), 8):
            r = convert_binary_to_hex(binary1[i:i+8])
            g = convert_binary_to_hex(binary2[i:i+8])
            b = convert_binary_to_hex(binary3[i:i+8])
            hex_colors.append((r+g+b))
            #print(hex_colors)
            #这里可以打印出来一些RGB像素数据来判断进制转换是否正确
            
    # 将16进制颜色转换为RGB格式
    rgb_colors = [tuple(int(hex[i:i + 2], 16) for i in (0, 2, 4)) for hex in hex_colors]

    # 创建一个数组以存储像素值
    image_array = np.array([rgb_colors], dtype=np.uint8)

    # 调整数组形状以匹配图像尺寸
    #这里我发现的图片尺寸是384*576
    image_array = image_array.reshape(384, 576, 3)

    # 绘制图像
    plt.imshow(image_array)
    plt.axis('off')

    # 保存图像为文件
    plt.savefig('output_image.png')


if __name__ == "__main__":
    main()