讀取txt文件的數據，並將其轉換爲矩陣

import numpy as nppath_txt_data = 'C:/Users/51102/Desktop/my_yolo/data/box/train.txt'def input_data(path_txt_data):  # 讀取文件，其中文件格式爲2.bmp 69,172,270,330,2 150,141,229,284,2 285,201,327,331,3 258,198,297,329,1    input_X_all = []    with open(path_txt_data, 'r') as f:        box_txt = f.readlines()        read_data_txt = [line.strip() for line in box_txt if len(line.strip().split()[1:]) != 0]    box_len = len(read_data_txt)    for j in range(box_len):        box_txt_one = read_data_txt[j].split()        box_txt_one = box_txt_one[1:]        box_txt_one_len = len(box_txt_one)        for i in range(box_txt_one_len):            box_txt_one_temp = np.array(list(map(int, box_txt_one[i].split(','))))[:4]            input_X_all.append(box_txt_one_temp)    input_X_all = np.array(input_X_all)     # 將全部box變成二維矩陣，number * [x1，y1，x2，y2]    number_X, _ = input_X_all.shape    input_X_wh = np.zeros((number_X, 2))    input_X_wh[:, 0] = abs(input_X_all[:,0]-input_X_all[:, 2])    input_X_wh[:, 1] = abs(input_X_all[:, 1] - input_X_all[:, 3])    return input_X_whinput=input_data(path_txt_data)print(input)