读取txt文件的数据，并将其转换为矩阵

import numpy as np
path_txt_data = 'C:/Users/51102/Desktop/my_yolo/data/box/train.txt'
def input_data(path_txt_data):  # 读取文件，其中文件格式为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)     # 将所有box变成二维矩阵，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_wh
input=input_data(path_txt_data)
print(input)