main.py

import json
import requests

from cloudmersive_image_api_client import Configuration, RecognizeApi, ApiClient
from cloudmersive_image_api_client.rest import ApiException

def main(req, res):
 # Input validation
 file_url = None
 try:
 payload = json.loads(req.payload)
 file_url = payload['url']
 except Exception as err:
 print(err)
 raise Exception('Payload is invalid.')

 if not file_url:
 raise Exception('Invalid search.')
 
 # Make sure we have envirnment variables required to execute
 if not req.variables.get('CLOUDMERSIVE_API_KEY', None):
 raise Exception('Please provide all required environment variables.')

 api_key = req.variables.get('CLOUDMERSIVE_API_KEY', None)

 # Download the file
 response = requests.get(file_url, stream=True)
 with open("temp.jpg", 'wb') as newFile:
 for chunk in response.iter_content(chunk_size=1024): 
 if chunk:
 newFile.write(chunk)
 newFile.flush()

 # Configure the detection client
 configuration = Configuration()
 configuration.api_key['Apikey'] = api_key

 # Create an instance of the API class
 api_client = RecognizeApi(ApiClient(configuration))

 # Detect objects including types and locations in an image
 api_response = api_client.recognize_detect_objects("temp.jpg")
 
 # Return object detection results
 results = list(map(lambda x: {
 "name": x.object_class_name,
 "confidence": x.score,
 "x": x.x,
 "y": x.y,
 "width": x.width,
 "height": x.height
 }, api_response.objects))

 if len(results) < 1:
 raise Exception('No objects found in the image.')

 return res.json(results[0])