Get Inferences from Cisco Meraki Camera

Once a model has been trained and deployed, images can be sent to the Plainsight Image API endpoint to get inferences. 
For information on how to create a model using a Cisco Meraki Camera see: Get Snapshot from Cisco Meraki Camera​
Required:
​Plainsight API Key​
Trained Model with an active Plainsight Image API Endpoint URL​
To send new images to a model, see Predictions API.
Below is a Python Example of how to get inferences from snapshots from a Cisco Meraki Camera.
To get images from the camera to send to the model API endpoint, see Get Snapshot from Cisco Meraki Camera​
Once images have been acquired, they are ready to be sent to the model to get inferences.
Get Inferences
Before sending images to the Predictions API, a Plainsight API Key, and the Plainsight Image API Endpoint URL are needed.
Note: All examples below are in Python. 
Required imports include:
import io
import json
import requests
import base64
1.Create a header that contains the API key.
Example:
headers = {
    "Authorization" : "Bearer [API KEY]",
    "Content-Type": "application/json"
}
2.Encode image as base64.
Example:
with open("/[PATH TO FILE]/[IMAGE NAME]", "rb") as f:
    im_bytes = f.read()       
im_b64 = base64.b64encode(im_bytes).decode("utf8")
3.Set data to send to endpoint.
Example:
data = json.dumps({"image": im_b64})
4.Send a POST API request.
Example:
requests.request('POST', [IMAGE API URL], headers=headers, data=data)
5.Parse the response to JSON format.
Example:
payload = response.json()
6.Display response.
Example:
print(payload)
​
Get Snapshot from Cisco Meraki Camera
Last modified 1yr ago