Description

This PR adds a sv.Detections.from_azure_analyze_image() data loader. This allows someone to load detections from the Azure Image Analysis 4.0 API.

Type of change

Please delete options that are not relevant.

• New feature (non-breaking change which adds functionality)

How has this change been tested, please provide a testcase or example of how you tested the change?

You will need to create an Azure account. Once you have an Azure account, create a "Computer vision" deployment in the "Azure AI services" dashboard in Azure.

This deployment will give you two API keys and an endpoint URL.

Set your API key and endpoint URL in your environment:

export AZURE_VISION_SUBSCRIPTION_KEY=<your api key>
export AZURE_VISION_ENDPOINT=<your endpoint>

Use the following example to run inference:

import supervision as sv
import requests
image = open(input, "rb").read()

endpoint = "https://.cognitiveservices.azure.com/"

headers = {
   "Content-Type": "application/octet-stream",
   "Ocp-Apim-Subscription-Key": "key"
}

response = requests.post(endpoint, headers=headers, data=image).json()

detections = sv.Detections.from_azure_analyze_image(response)

Any specific deployment considerations

N/A

Docs

I will add documentation to this PR.