ValueError: With n_samples=0, test_size=0.15 and train_size=None, the resulting train set will be em

ValueError: With n_samples=0, test_size=0.15 and train_size=None, the resulting train set will be empty. Adjust any of the aforementioned parameters.

错误原因：

看报错信息及目标文件目录可知，是生成数量为空，其实是因为文件路径不对

#这两处更改为你指定的路径
#一定要注意是path的末尾是否带上/，路径是拼接出来的，如果没有调整好，仍然会报上面的错误
labelme_path = "C:/Users/Administrator/Desktop/sss/"              #原始labelme标注数据路径
saved_path = "C:/Users/Administrator/Desktop/ccc/"                #保存路径

注意： 通过阅读源码

json_filename = labelme_path + json_file_ + ".json"
height, width, channels = cv2.imread(labelme_path + json_file_ +".jpg").shape

可知，我们转换的jpg图片和.json文件要放在同一个目录下：

然后又报错

Traceback (most recent call last):

File “json_to_xml.py”, line 28, in

json_file = json.load(open(json_filename,“r”,encoding=“utf-8”))

FileNotFoundError: [Errno 2] No such file or directory: 'C:/Users/Administrator/Desktop/sss/sss\\000000.json'

从报错信息来看，本以为是\的问题，其实不然，而是多了一个层级的目录

阅读源码

files = [i.split("/")[-1].split(".json")[0] for i in files] #其分割的是"/"，而Windows返回路径为"\"

打印发现

for i in files:
    print(i.split("/")[-1])

故应该修改为

files = [i.split("\\")[-1].split(".json")[0] for i in files]

打印印证

for i in files:
    print(i.split("\\")[-1])

运行成功