Yolov5进行目标检测流程在下文中已做说明：
Python——一文详解使用yolov5进行目标检测全流程（无需gpu）_yolo不用gpu-CSDN博客
在Yolov5使用中中，标签数据里类别的中文名，需要转换成类别编号。相关代码如下：
## 将标签中的英文名转化为对应的类别编号
import ospath = r'./datasets/labels/test1/' # 转换前txt保存的文件夹
save = r'./datasets/labels/test/' # 转换后txt保存的文件夹for item in os.listdir(path): # 遍历文件夹里的文件path_item = os.path.join(path, item)path_item2 = os.path.join(save, item) # 保存的路径a = []with open(path_item, 'r') as f1, open(path_item2, "a") as f2:for line in f1:a.append(line)print(a)for i in a:if ' ' in str(i): # 遍历每一行b = str(i) # 提取第i行m = b.split(' ') # 以空格为分隔符，进行切分dic = {'airplane': "0", # 字典对类型进行转换'airport': "1",'baseballfield': "2",'basketballcourt': "3",'bridge': "4",'chimney': "5",'dam': "6",'Expressway-Service-area': "7",'Expressway-toll-station': "8",'golffield': "9",'groundtrackfield': "10",'harbor': "11",'overpass': "12",'ship': "13",'stadium': "14",'storagetank': "15",'tenniscourt': "16",'trainstation': "17",'vehicle': "18",'windmill': "19",}m[0] = dic.get(m[0]) # 对每行的第一个变量（即类别），将其替换成相应的值b = ' '.join(m) # 将列表m重新拼接成一个字符串print(b)f2.write("%s" % (b))print('替换完成')
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