base64

可以用 在线网站转 http://tool.chinaz.com/tools/imgtobase

  1. import json
  2. import requests
  3. # 读取图片
  4. image_base64 = None
  5. img_save_path = "./imgs/bird/test_35.jpg"
  6. label = "bird"
  7. with open(img_save_path, 'rb') as f:
  8. test_35 = base64.b64encode(f.read())
  9. # 在线网站转的,test_35 = 'data:image/jpg;base64,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'
  10. # 本地读取得到的 test_35 = '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'
  11. header = {"Content-Type": "application/json"}
  12. s_dict = {"image": test_35.decode(), "image_type": "BASE64"}
  13. ## test_35 是 byte, 转换需要 .decode()
  14. s = json.dumps(s_dict)
  15. url = "http://10.240.208.132:27200/internal_api/service/"
  16. r = requests.post(url, data=s, headers=header)
  17. print(r.text)
  18. print(r.status_code)
  19. """
  20. PS C:\image_classification_example\dataset_dir\validation> python .\test.py
  21. {"data": [{"label": "004", "probability": 0.9505}], "duration": 495}
  22. 200
  23. """