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)

image_file  = 'ovms/lib/python3.8/site-packages/skimage/data/rocket.jpg'
img = cv2.imread(image_file)                # Read an image
res = model.single_image_infer(img)         # Infer
result = res[model.outputs[0]['name']]

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

sudo apt update && sudo apt install -y python3-venv
python -m pip install tensorflow tensorflow-serving-api

python3 -m venv ovms
. ovms/bin/activate
python -m pip install openvino-dev
omz_downloader --name resnet-50-tf
omz_converter --name resnet-50-tf --precisions FP16
deactivate

docker run -d --rm \
  -v $PWD/public/resnet-50-tf/FP16:/models/resnet50/1 \
  -p 9000:9000 \
  openvino/model_server:latest \
  --model_path /models/resnet50 \
  --model_name resnet_50 \
  --port 9000