python之压缩字符数据读取解析

#!/usr/bin/python3
# -*- coding: UTF-8 -*-

import struct
import os
# noinspection PyUnresolvedReferences
import zlib
# noinspection PyUnresolvedReferences
import io
# noinspection PyUnresolvedReferences
from io import BytesIO
# noinspection PyUnresolvedReferences
import binascii
# noinspection PyUnresolvedReferences
import json
# noinspection PyUnresolvedReferences
import numpy
# noinspection PyUnresolvedReferences
#import cv2

if __name__ == '__main__':
    filepath='map_source.bin'
    binfile = open(filepath, 'rb') #打开二进制文件
    size = os.path.getsize(filepath) #获得文件大小
    print(size)
    data = binfile.read(4) #每次输出4个字节
    length = struct.unpack("<i", data)[0]
    print(length)

    binfile.seek(4)
    data2 = binfile.read(length)  # 输出39字节

    data3 = zlib.decompress(data2)
    print("data3 size:", len(data3))
    print("data3:", data3)

    data4 = json.loads(data3)            #字符串转字典   通过字典获取 键值
    print("data4: width ", data4['width'])
    print("data4: height ", data4['height'])
    width = data4['width']
    height = data4['height']

    binfile.seek(4+length)
    data_final = binfile.read(size-4-length)
    data_final_1 = zlib.decompress(data_final)

    print("data_final_1 ", len(data_final_1))
    #保存原始数据 到文本txt
    with open("map_source.txt", "w") as f:
        f.write(str(width))
        f.write(' ' + str(height) +'\n')
        for value in data_final_1:
            f.write(str(value)+" ")      # 这句话自带文件关闭功能，不需要再写f.close()

    # 保存原始数据 到image
    # 图片I大小为3*3，灰度值全为0，也就是黑色图像
    '''
    Image = numpy.zeros((height, width), dtype=numpy.uint8)
    for row in height:
        for col in width:
            value = row * width + col
            Image[row, col] = data_final_1[value]

    cv2.imwrite("map_source.jpg", Image)
'''
    binfile.close()