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Sending Batch request to azure cognitive API for TEXT-OCR

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
15/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
azure, python
Domain
api

Research direction

Start by reviewing the Azure Cognitive API endpoint used in recognise_text, especially the recognizeText request and its Operation-Location polling flow. The issue does not name a repository file or test, and completion is undefined because it asks whether multiple images can be submitted in one request.

Written by the indexing model from the issue text.

Description

I am calling azure cognitive API for OCR text-recognization and I am passing 10-images at the same time simultaneously (as the code below only accepts one image at a time-- that is 10-independent requests in parallel) which is not efficient to me, from processing point of view, as I need to use extra modules i.e: Celery and multiprocessing.

So, is there a way to send all the 10-images in a single request and get the output at once then do post processing?

import time
from io import BytesIO

import cv2
import requests
from PIL import Image as PILImage
from PIL import Image
file_list = []

headers = {
    "Ocp-Apim-Subscription-Key": "<API-KEY>",
    'Content-Type': 'application/octet-stream'}

p = "symbol_sample.jpg"
print(p,"p")

def recognise_text(p):
    p = cv2.imread(p)
    cropped_image = PILImage.fromarray(p)
    buffer = BytesIO()
    cropped_image.save(buffer, format="JPEG")
    image_bytes = buffer.getvalue()
    try:
        response = requests.post(
            "https://centralindia.api.cognitive.microsoft.com/vision/v2.0/recognizeText?mode=Printed",
            headers=headers,
            data=image_bytes
        )
        header_link = str(response.headers['Operation-Location'])
        while (True):
            headers_get = {
                "Ocp-Apim-Subscription-Key": "<API-KEY>"",
                'Content-Type': 'application/json'
            }
            result = requests.get(
                url=header_link,
                headers=headers_get
            )
            response_r = result.json()
            if response_r["status"] == "Succeeded":
                return response_r
            else:
                time.sleep(4)
    except Exception as e:
        print(e)
        return ""
    
image1="symbol_sample.jpg"
o = recognise_text(image1)
print(o)

Any help would be really appreciated.

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