У меня есть рабочий код , когда я обслуживаю модель обнаружения объектов в tf-Обслуживание и обращаюсь к ней через HTTP-запрос. Код для того же:
import requests
import base64
import json
URL = "http://10.10.1.38:8501/v1/models/test_model:predict"
headers = {"content-type": "application/json"}
image = "test111.jpg"
image_content = base64.b64encode(open(image,'rb').read())
encodedStr = str(image_content, "utf-8")
body = {"signature_name": "predict_images","inputs": [{"b64":encodedStr}]}
response = requests.post(URL, data=json.dumps(body), headers = headers)
Я хочу сделать то же самое, но используя gRP C код клиента .
Код для этого:
import grpc
from tensorflow_serving.apis import predict_pb2
from tensorflow_serving.apis import prediction_service_pb2_grpc
image = "test111.jpg"
image_content = base64.b64encode(open(image,'rb').read())
encodedStr = str(image_content, "utf-8")
server = 'localhost:8500'
channel = grpc.insecure_channel(server)
stub = prediction_service_pb2_grpc.PredictionServiceStub(channel)
request = predict_pb2.PredictRequest()
request.model_spec.name = 'test_model'
request.model_spec.signature_name = 'predict_images'
request.inputs['inputs'].CopyFrom(tf.contrib.util.make_tensor_proto(encodedStr, shape=[1]))
result_future = stub.Predict(request,40.)
Но это выдает ошибку:
_Rendezvous: <_Rendezvous of RPC that terminated with:
status = StatusCode.INVALID_ARGUMENT
details = "assertion failed: [Unable to decode bytes as JPEG, PNG, GIF, or BMP]
[[{{node map/while/decode_image/cond_jpeg/cond_png/cond_gif/Assert_1/Assert}}]]"
debug_error_string = "{"created":"@1579785768.913000000","description":"Error received from peer","file":"src/core/lib/surface/call.cc","file_line":1017,"grpc_message":"assertion failed: [Unable to decode bytes as JPEG, PNG, GIF, or BMP]\n\t [[{{node map/while/decode_image/cond_jpeg/cond_png/cond_gif/Assert_1/Assert}}]]","grpc_status":3}"
>