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Last active October 21, 2021 16:29
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Save icebeam7/66dee3a4ef04ba2e64437f4ee65d40f6 to your computer and use it in GitHub Desktop.
import logging
import onnxruntime as nxrun
import numpy as np
import PIL
from PIL import Image
import requests
from io import BytesIO
import azure.functions as func
def main(req: func.HttpRequest) -> func.HttpResponse:
## Obtén la imagen y cambia su tamaño a 244x244 píxeles
url = req.params.get('url')
response = requests.get(url)
image =[224,224])
## Carga el modelo y puntúa la imagen
model_path = "model/model.onnx"
sess = nxrun.InferenceSession(model_path)
input_array = np.array(image, dtype=np.float32)[np.newaxis, :, :, :]
input_array = input_array.transpose((0, 3, 1, 2))[:, (2, 1, 0), :, :]
input_name = sess.get_inputs()[0].name
outputs =, {input_name: input_array.astype(np.float32)})
## Encuentra la etiqueta con la puntuación más alta
label = outputs[0][0][0]
score = (outputs[1][0][outputs[0][0][0]]*100)
## Devuelve y registra la respuesta
response = f"I'm {score:.2f}% sure I see: {label}"
return func.HttpResponse(response)
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