{
  "model": {
    "model_name": "inceptionv3",
    "model": "./inference_graph.xml",
    "weights": "./inference_graph.bin"
  },
  "engine": {
    "datasets": [
      {
        "name": "catsvsdogs",
        "data_source": "C:/Users/ashwi/Downloads/imagenet_format",
        "annotation_conversion": {
          "annotation_file": "C:/Users/ashwi/Downloads/imagenet_format/annotation.txt",
          "has_background": true,
          "converter": "imagenet"
        },
        "preprocessing": [
          // {
          //   "type": "crop",
          //   "central_fraction": 0.875
          // },
          {
            "type": "resize",
            "size": 299
          }
        ],
        "metrics": [
          {
            "type": "accuracy",
            "name": "accuracy@top1",
            "top_k": 1
          }
        ]
      }
    ],
    "launchers": [
      {
        "framework": "dlsdk",
        "device": "CPU",
        "adapter": "classification"
      }
    ]
  },
  "compression": {
    "target_device": "CPU",
    "algorithms": [
      {
        "name": "AccuracyAwareQuantization",
        "params": {
          "preset": "performance",
          "metrics": [
            // An optional list of metrics that are taken into account during optimization
            // If not specified, all metrics defined in engine config are used
            {
              "name": "accuracy", // Metric name to optimize
              "baseline_value": 0.887 // Baseline metric value of the original model
            }
          ],
          "metric_subset_ratio": 0.8
        }
      }
    ]
  }
}