在做人工智能检测印章时遇到了问题

Question

在做人工智能检测印章时遇到了问题：我需要把该yolov5的处理结果转换成base64传给另一个模型进行识别，但是该代码的结果是一个列表，我该如何处理？
代码如下：

import torch
from PIL import Image


def yolo_model_load(model_path):
    model = torch.hub.load('D:/test11/yolov5',
                           'custom',
                           path=model_path,
                           source='local',
                           force_reload=True)  # local repo
    model.conf = 0.4
    model.eval()
    return model

if __name__ == '__main__':
    from PIL import Image

    model_path = 'D:/test11/yolov5/models/seal_detect_best.pt'

    image = Image.open('D:/test11/yolov5/8.png')
    model = yolo_model_load(model_path)
    yolo_res = model(image, size=640)
    yolo_res.show()
    yolo_res_list = yolo_res.pandas().xyxy[0].values.tolist()
    print(type(yolo_res_list))
    print('印章识别结果：', yolo_res_list)

结果如下：

D:\Anaconda3\envs\cj-env\python.exe D:\test11\yolov5\test1.py 
YOLOv5  v6.1-275-g29d79a6 Python-3.7.16 torch-1.13.1+cu117 CUDA:0 (NVIDIA GeForce RTX 3070 Ti Laptop GPU, 8192MiB)

Fusing layers... 
YOLOv5s summary: 213 layers, 7015519 parameters, 0 gradients
Adding AutoShape... 
<class 'list'>
印章识别结果： [[758.1011962890625, 1005.4564208984375, 1178.61376953125, 1428.8299560546875, 0.9835438132286072, 0, 'seal_y'], [2428.508056640625, 1034.09228515625, 2805.164306640625, 1410.1837158203125, 0.9834598302841187, 0, 'seal_y']]

Process finished with exit code 0

我要达成的目的：我需要把该yolov5的处理结果转换成base64传给另一个模型进行识别，该模型需要的参数格式是base64

Answer 1

编码成2进制后用base64转下

import json
import base64

#yolo_res_list = yolo_res.pandas().xyxy[0].values.tolist()
yolo_res_list=[[758.1011962890625, 1005.4564208984375, 1178.61376953125, 1428.8299560546875, 0.9835438132286072, 0, 'seal_y'], [2428.508056640625, 1034.09228515625, 2805.164306640625, 1410.1837158203125, 0.9834598302841187, 0, 'seal_y']]
yolo_res_liststr=json.dumps(yolo_res_list)#转json字符串
base64str=str(base64.b64encode(yolo_res_liststr.encode('utf-8')))
print(type(base64str))