Reputation: 1219
I am calling the 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, regardin 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.
Upvotes: 2
Views: 1235
Reputation: 222582
I guess you are looking for Batch Read File
public class BatchReadFileSample
{
public static async Task RunAsync(string endpoint, string key)
{
ComputerVisionClient computerVision = new ComputerVisionClient(new ApiKeyServiceClientCredentials(key))
{
Endpoint = endpoint
};
const int numberOfCharsInOperationId = 36;
string localImagePath = @"Images\handwritten_text.jpg"; // See this repo's readme.md for info on how to get these images. Alternatively, you can just set the path to any appropriate image on your machine.
string remoteImageUrl = "https://github.com/Azure-Samples/cognitive-services-sample-data-files/raw/master/ComputerVision/Images/printed_text.jpg";
Console.WriteLine("Text being batch read ...");
await BatchReadFileFromStreamAsync(computerVision, localImagePath, numberOfCharsInOperationId);
await BatchReadFileFromUrlAsync(computerVision, remoteImageUrl, numberOfCharsInOperationId);
}
// Read text from a remote image
private static async Task BatchReadFileFromUrlAsync(ComputerVisionClient computerVision, string imageUrl, int numberOfCharsInOperationId)
{
if (!Uri.IsWellFormedUriString(imageUrl, UriKind.Absolute))
{
Console.WriteLine("\nInvalid remote image url:\n{0} \n", imageUrl);
return;
}
// Start the async process to read the text
BatchReadFileHeaders textHeaders = await computerVision.BatchReadFileAsync(imageUrl);
await GetTextAsync(computerVision, textHeaders.OperationLocation, numberOfCharsInOperationId);
}
// Recognize text from a local image
private static async Task BatchReadFileFromStreamAsync(ComputerVisionClient computerVision, string imagePath, int numberOfCharsInOperationId)
{
if (!File.Exists(imagePath))
{
Console.WriteLine("\nUnable to open or read local image path:\n{0} \n", imagePath);
return;
}
using (Stream imageStream = File.OpenRead(imagePath))
{
// Start the async process to recognize the text
BatchReadFileInStreamHeaders textHeaders = await computerVision.BatchReadFileInStreamAsync(imageStream);
await GetTextAsync(computerVision, textHeaders.OperationLocation, numberOfCharsInOperationId);
}
}
Here is the Full Code
Upvotes: 2