ovms_wrapper_test_raw_infer.py

from ovms_wrapper.ovms_wrapper import OpenVINO_Model_Server

import cv2
import numpy as np

ovms = OpenVINO_Model_Server()
ovms.connect('127.0.0.1', 9000)
#print(ovms.get_model_status('resnet_50'))
model = ovms.open_model('resnet_50')
print(model.inputs, model.outputs)
inblob = model.inputs[0]

# curl -O https://raw.githubusercontent.com/intel-iot-devkit/smart-video-workshop/master/Labs/daisy.jpg
image_file  = 'daisy.jpg'
img = cv2.imread(image_file)                    # Read an image
tensor = model.image_preprocess(inblob, img)
# model.image_preprocess() equivalent
#  tensor = cv2.resize(img, inblob.shape[2:])
#  tensor = tensor.transpose((2,0,1))
#  tensor = tensor.reshape(inblob.shape).astype(inblob.dtype_npy)

model.raw_infer({ inblob.name:tensor })       # Raw Infer
res = model.parse_results()                     # Parse (decode) inference result
result = res[model.outputs[0].name]

# display result
nu = np.array(result)
ma = np.argmax(nu)
print("Result:", ma)