Input

Supported content types: image/jpeg, image/png, application/x-image

Output

Content type: application/json Sample output:

{
   "output":[
      {
         "class_id":[
            2
],
         "class_label":"Half empty"
}
]
}

Invoking endpoint

AWS CLI Command

You can invoke endpoint using AWS CLI:

aws sagemaker-runtime invoke-endpoint --endpoint-name "endpoint-name" --body fileb://input.jpg --content-type image/jpeg --accept application/json out.json

Substitute the following parameters:

• "endpoint-name" - name of the inference endpoint where the model is deployed
• input.jpg - input image to do the inference on
• image/jpeg - MIME type of the given input image (above)
• out.json - filename where the inference results are written to

Python

Real-time inference snippet (more detailed example can be found in sample notebook):

runtime = boto3.Session().client(service_name='runtime.sagemaker')
bytes_image = open('path-to-img', 'rb').read()
response = runtime.invoke_endpoint(EndpointName='endpoint-name',      
ContentType='image/jpeg', Body=bytes_image)
response = response['Body'].read()
results = json.loads(response)

Resources

• Sample input images
• Sample Notebook

If you have any questions feel free to contact us info@agmis.eu or fill our https://agmis.lt/contacts/