使用python，将文件夹中所有的labelme标注生成的json文件转换为可以用于labelimg标注的yolo格式的yaml文件，且文件名与原文件名一致。

可以使用以下代码实现：

import os
import json
import yaml

# 设置标签类别
classes = ["object"]

# 待转换json文件所在的文件夹
json_folder = "/path/to/json/folder"

# 转换后yaml文件所在的文件夹
yaml_folder = "/path/to/yaml/folder"

# 遍历json文件
for filename in os.listdir(json_folder):
    if filename.endswith(".json"):
        with open(os.path.join(json_folder, filename), "r") as f:
            data = json.load(f)
            img_width = data["imageWidth"]
            img_height = data["imageHeight"]
            objects = []
            for shape in data["shapes"]:
                label = shape["label"]
                points = shape["points"]
                xmin = min([point[0] for point in points])
                ymin = min([point[1] for point in points])
                xmax = max([point[0] for point in points])
                ymax = max([point[1] for point in points])
                object_dict = {"name": label, "xmin": xmin, "ymin": ymin, "xmax": xmax, "ymax": ymax}
                objects.append(object_dict)
            # 写入yaml文件
            yaml_filename = os.path.splitext(filename)[0] + ".yaml"
            with open(os.path.join(yaml_folder, yaml_filename), "w") as f:
                yaml_dict = {"image": os.path.splitext(filename)[0] + ".jpg", "width": img_width, "height": img_height, "depth": 3, "objects": objects, "classes": classes}
                yaml.dump(yaml_dict, f)
            # 写入txt文件
            txt_filename = os.path.splitext(filename)[0] + ".txt"
            with open(os.path.join(yaml_folder, txt_filename), "w") as f:
                for obj in objects:
                    class_index = classes.index(obj["name"])
                    x_center = (obj["xmin"] + obj["xmax"]) / 2 / img_width
                    y_center = (obj["ymin"] + obj["ymax"]) / 2 / img_height
                    width = (obj["xmax"] - obj["xmin"]) / img_width
                    height = (obj["ymax"] - obj["ymin"]) / img_height
                    txt_line = "{} {:.6f} {:.6f} {:.6f} {:.6f}\n".format(class_index, x_center, y_center, width, height)
                    f.write(txt_line)

这段代码会遍历指定文件夹中所有的json文件，将每个文件中的标注信息转换为yolo格式的yaml文件和txt文件。其中，yaml文件用于在labelimg中显示标注信息，txt文件用于训练yolo模型。在此代码中，我们将标签类别统一设置为"object"，如果需要添加其他类别，可以修改`classes`列表。同时，这段代码会保持新文件与原文件名相同。