PaddleClas/deploy/paddleserving/recognition/pipeline_http_client.py

22 lines
560 B
Python

import requests
import json
import base64
import os
imgpath = "../../drink_dataset_v1.0/test_images/001.jpeg"
def cv2_to_base64(image):
return base64.b64encode(image).decode('utf8')
if __name__ == "__main__":
url = "http://127.0.0.1:18081/recognition/prediction"
with open(os.path.join(".", imgpath), 'rb') as file:
image_data1 = file.read()
image = cv2_to_base64(image_data1)
data = {"key": ["image"], "value": [image]}
for i in range(1):
r = requests.post(url=url, data=json.dumps(data))
print(r.json())