Azure Computer Vision
An Azure artificial intelligence service that analyzes content in images and video.
326 questions
Inquiry Regarding 404 Error in Shelf Product Recognition API
![](data:image/svg+xml, %3Csvg xmlns='http://www.w3.org/2000/svg' height='64' class='font-weight-bold' style='font: 600 30.11764705882353px "SegoeUI", Arial' width='64'%3E%3Ccircle fill='hsl(16, 34%, 11%)' cx='32' cy='32' r='32' /%3E%3Ctext x='50%25' y='55%25' dominant-baseline='middle' text-anchor='middle' fill='%23FFF' %3EAB%3C/text%3E%3C/svg%3E)
Anuja Baby
0
Reputation points
I received a 404 error from the Shelf Product Recognition using the pretrained model.
Upon initiating a POST request using the following command:
curl.exe -H "Ocp-Apim-Subscription-Key: XXXXX" -H "Content-Type: application/json" "XXXXX/computervision/productrecognition/ms-pretrained-product-detection/runs/test1?api-version=2023-04-01-preview" -d "{ 'url':'image_url' }"
I encountered a 404 error status.
Upon further investigation, observed that the PUT request creates a queue using the run_name.
PUT request
curl.exe -X PUT -H "Ocp-Apim-Subscription-Key: XXXXX" -H "Content-Type: application/json" "XXXX/computervision/productrecognition/ms-pretrained-product-detection/runs/test1?api-version=2023-04-01-preview" -d "{'url':'imageurl'}"
Then when I called the same API with a GET method(with the same run_name), it provided the expected results.
GET request
curl.exe -H "Ocp-Apim-Subscription-Key: XXXX" -H "Content-Type: application/json" "XXXX/computervision/productrecognition/ms-pretrained-product-detection/runs/test1?api-version=2023-04-01-preview"
I think is this behavior due to the asynchronous nature of the operation. Where can I find documentation detailing this asynchronous behavior and providing information on the expected status codes in the subsequent GET request (e.g., success, running, etc.)?
Is there anything wrong with my understanding, as I couldn't find specific documentation for this async behavior?
Azure Computer Vision
Azure
Azure
A cloud computing platform and infrastructure for building, deploying and managing applications and services through a worldwide network of Microsoft-managed datacenters.
1,007 questions
{count} votes
-
![](data:image/svg+xml, %3Csvg xmlns='http://www.w3.org/2000/svg' height='64' class='font-weight-bold' style='font: 600 30.11764705882353px "SegoeUI", Arial' width='64'%3E%3Ccircle fill='hsl(278.4, 1%, 36%)' cx='32' cy='32' r='32' /%3E%3Ctext x='50%25' y='55%25' dominant-baseline='middle' text-anchor='middle' fill='%23FFF' %3EYM%3C/text%3E%3C/svg%3E)
YutongTie-MSFT 46,996 Reputation points2023-12-03T04:44:42.8533333+00:00 Hello, thanks for reaching out to us.
It seems that you are encountering a 404 error when using the Shelf Product Recognition API with a pretrained model. Based on your investigation, it appears that the issue may be related to the asynchronous nature of the operation.
In general, when using an API that performs an asynchronous operation, it is common to receive a status code indicating that the operation has been accepted and is being processed, rather than an immediate result. This is because the operation may take some time to complete, and the API may need to perform additional processing or analysis before returning a result.
To learn more about the expected behavior of the Shelf Product Recognition API and the status codes that may be returned, you may want to review the API documentation or reach out to the support team for the API. They may be able to provide additional guidance or help you troubleshoot the issue.
Additionally, you may want to consider using a different API or approach if you require immediate results or if the asynchronous nature of the operation is causing issues for your use case.
Sign in to comment