AWS Documentation » AWS DeepLens » Developer Guide » AWS DeepLens Device Library » awscam Module for Inference » Model Object » model.doInference Method

model.doInference Method

Runs inference on a video frame (image file) by applying the loaded model. The method returns the result of the inference.

Request Syntax

import awscam
model = awscam.Model(model_topology_file, loading_config)
result = model.doInference(video_frame)

Parameters

• video_frame—Required. A video frame from the AWS DeepLens video feeds.

Return Type

• dict list — The inference result, as a dictionary, based on the loaded model.

Returns

Returns a dict with a single key-value pair. The key is the name of the model's output layer, which is defined by the model you use. The value is a list of dicts in which each element is an object that the model identified and its associated probability. The user who applies the model should know how to parse the result.

Sample output:

{
   'SoftMax_67': array(
       [  
          2.41881448e-08, 
          3.57339691e-09, 
          1.00263861e-07, 
          5.40415579e-09, 
          4.37702547e-04, 
          6.16787545e-08
       ], 
   dtype=float32)
}