Python读取温度矩阵数据

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import cv2, struct import numpy as np import matplotlib.pyplot as plt   class TempMatrix():     def __init__(self):         pass       def read_temp_matrix_img(self, file_path):         """         brief             读取温度矩阵图像         param  file_path  : 文件路径         return temp_matrix: 温度矩阵         """         # 读取温度矩阵         with open(file_path, 'rb') as f:             # 定位文件版本地址             f.seek(-20, 2)                                      # 定位文件版本地址             file_version_off = struct.unpack('I', f.read(4))[0] # 解析文件版本偏移               # 读取温度矩阵宽高             f.seek(file_version_off + 2)                                  # 定位温度矩阵宽高             temp_matrix_w, temp_matrix_h = struct.unpack('2H', f.read(4)) # 读取温度矩阵宽高               # 读取文件温度矩阵             f.seek(14, 1)                                                                      # 定位温度矩阵数据             temp_matrix_size = temp_matrix_h * temp_matrix_w                                   # 计算温度矩阵大小             temp_matrix_lens = temp_matrix_size * struct.calcsize('f')                         # 计算温度矩阵长度             temp_matrix_data = struct.unpack(f'{temp_matrix_size}f', f.read(temp_matrix_lens)) # 读取文件矩阵数据               # 转换温度矩阵形状             temp_matrix = np.reshape(np.array(temp_matrix_data, dtype=np.float32), (temp_matrix_h, temp_matrix_w))           # 设置温度矩阵         self.temp_matrix = temp_matrix           return temp_matrix       def save_temp_matrix_img(self, save_path):         """         brief             保存温度矩阵图像         param  save_path: 保存路径         return none     : 无返回值         """         # 转换数据格式         temp_matrix = self.temp_matrix         cv2.normalize(temp_matrix, temp_matrix, 0, 255, cv2.NORM_MINMAX)           # 保存温度矩阵         cv2.imwrite(save_path, temp_matrix)       def show_temp_matrix_img(self):         '''         brief             显示温度矩阵图像         param  none: 无参数值         return none: 无返回值         '''         # 转换数据格式         temp_matrix = self.temp_matrix         cv2.normalize(temp_matrix, temp_matrix, 0, 255, cv2.NORM_MINMAX)           # 显示温度矩阵         print('Temperature Matrix (h, w):', temp_matrix.shape)         plt.imshow(temp_matrix, interpolation='None',cmap=plt.cm.hot, origin='upper')         plt.colorbar()         plt.xticks(())         plt.yticks(())         plt.show()       def read_temp_matrix_raw(self, file_path, temp_matrix_w, temp_matrix_h):         """         brief             读取温度矩阵数据         param  file_path    : 文件路径         param  temp_matrix_w: 矩阵宽度         param  temp_matrix_h: 矩阵高度         return temp_matrix  : 温度矩阵         """         # 读取温度矩阵         temp_matrix = np.fromfile(file_path, dtype=np.float32)         temp_matrix.shape = temp_matrix_h, temp_matrix_w           # 设置温度矩阵         self.temp_matrix = temp_matrix           return temp_matrix           def save_temp_matrix_raw(self, save_path):         """         brief             保存温度矩阵数据         param  save_path: 保存路径         return none     : 无返回值         """         # 保存温度矩阵         self.temp_matrix.tofile(save_path)       def read_temp_matrix_txt(self, file_path):         """         brief             读取温度矩阵文件         param  file_path  : 文件路径         return temp_matrix: 温度矩阵         """         # 读取温度矩阵         self.temp_matrix = np.loadtxt(file_path, delimiter=',')           return self.temp_matrix       def save_temp_matrix_txt(self, save_path):         """         brief             保存温度矩阵文件         param  save_path: 保存路径         return none     : 无返回值         """         # 保存温度矩阵         np.savetxt(save_path, self.temp_matrix, delimiter=',', fmt='%f')   if __name__ == '__main__':     # 创建温度矩阵实例     # file_path = 'HeatMap_2023-02-03_09-38-11_HeatMap'     # file_path = 'HeatMap_2023-02-17_15-36-58_HeatMap'     file_path = 'HeatMap_2023-02-17_15-46-23_HeatMap'     temp_matrix = TempMatrix()       # 读取温度矩阵图像     temp_matrix.read_temp_matrix_img('./data/img/' + file_path + '.jpg')       # 保存温度矩阵图像     temp_matrix.save_temp_matrix_img('./output/temp_matrix.jpg')       # 读取温度矩阵数据     temp_matrix.read_temp_matrix_raw('./data/raw/' + file_path + '.raw', 256, 192)       # 保存温度矩阵数据     temp_matrix.save_temp_matrix_raw('./output/temp_matrix.raw')       # 读取温度矩阵文本     temp_matrix.read_temp_matrix_txt('./data/txt/' + file_path + '.txt')       # 保存温度矩阵文本     temp_matrix.save_temp_matrix_txt('./output/temp_matrix.txt')       # 显示温度矩阵图像     temp_matrix.show_temp_matrix_img()

 

参考地址：

https://blog.csdn.net/zsh501736479/article/details/117196324
https://www.zhihu.com/question/63686736?sort=created
https://www.zhangshilong.cn/work/110410.html
https://www.cnpython.com/qa/112252
https://www.jb51.cc/python/3568815.html
https://www.freesion.com/article/6196525797/
https://www.zkxjob.com/45940
https://blog.csdn.net/qq_42183962/article/details/121930356
https://blog.csdn.net/weixin_61057398/article/details/128314637
https://blog.csdn.net/weixin_42663139/article/details/124218934
https://www.xrvps.com/46269.html
https://www.jianshu.com/p/ebb041a4e104
https://blog.csdn.net/sinat_26472165/article/details/85342766
https://zhuanlan.zhihu.com/p/461880996
https://blog.csdn.net/weixin_39657978/article/details/120747469
https://www.cnblogs.com/ice-daigua/archive/2012/11/16/2772674.html
https://www.zhiu.cn/56147.html