Python code to call ML Object Detection API

Former Member — Sun, 04 Feb 2024 06:52:52 GMT

Could someone please share an python example of how can we call the Object Detection API? It would help me a lot!

Re: Python code to call ML Object Detection API

AndreasForster — Fri, 18 Oct 2019 11:15:05 GMT

Hello Renan, Here is some Python code that uses the face feature extractor of MLF. It shows how to create and use the Bearer token and how to pass a file and the header to MLF. So this might give you a start for object detection.

Greetings, Andreas

## Get logon credentials from service key

# Path to service key

service_key_location = "./Service Keys/Servicekey_beta.txt"

file_read = open(service_key_location, "r")

jsonRead = json.loads(file_read.read())

username = jsonRead["clientid"]

password = jsonRead["clientsecret"]

## Get Bearer token

import json

import requests

api_url = 'https://[yoururl].authentication.us10.hana.ondemand.com/oauth/token?grant_type=client_credentials'

auth_values = (username, password)

response = requests.get(api_url, auth=auth_values)

# Extract token from response

json_response = response.json()

api_token = "Bearer " + json_response["access_token"]

print(api_token)

## Identify face on image

# Obtain feature vector of face

nugget_file = "./image.jpg"

api_url = 'https://mlfproduction-face-feature-extractor.cfapps.us10.hana.ondemand.com/api/v2alpha1/image/face-feature-extraction'

files = {'files': open(nugget_file, 'rb')}

headers = {'Authorization': api_token}

response_nugget = requests.post(api_url, files=files, headers=headers)

jsonRead = json.loads(response_nugget.content.decode('utf-8'))

# Extract the detected face and display

bottom = jsonRead['predictions'][0]['faces'][0]['face_location']['bottom']

left = jsonRead['predictions'][0]['faces'][0]['face_location']['left']

right = jsonRead['predictions'][0]['faces'][0]['face_location']['right']

top = jsonRead['predictions'][0]['faces'][0]['face_location']['top']

from PIL import Image

img = Image.open(nugget_file)

area = (left, top, right, bottom)

cropped_img = img.crop(area)

cropped_img.show()

Re: Python code to call ML Object Detection API

Former Member — Fri, 18 Oct 2019 18:49:37 GMT

Thank you for the quick answer, Andreas. You've been very helpful!

topic Python code to call ML Object Detection API in Artificial Intelligence Forum

Python code to call ML Object Detection API

Re: Python code to call ML Object Detection API

Re: Python code to call ML Object Detection API