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{
'compression': {
'algorithms': [
{
'name': 'AccuracyAwareQuantization',
'params': {
'drop_type': 'relative',
'max_iter_num': 20,
'maximal_drop': 0.01,
'metric_subset_ratio': 0.2,
'preset': 'performance',
'stat_subset_size': 300,
'tune_hyperparams': true
}
}
],
'dump_intermediate_model': true,
'target_device': 'CPU'
},
'engine': {
'models': [
{
'name': 'age-gender-recognition-retail-0013',
'launchers': [
{
'framework': 'dlsdk',
'adapter': {
'type': 'age_gender',
'gender_out': 'prob',
'age_out': 'age_conv3'
},
'device': 'CPU'
}
],
'datasets': [
{
'name': 'age_gender',
'data_source': 'PATH',
'annotation_conversion': {
'converter': 'age_gender',
'data_dir': 'PATH'
},
'annotation': 'age_gender.pickle',
'dataset_meta': 'age_gender.json',
'preprocessing': [
{
'type': 'crop_rect'
},
{
'type': 'resize',
'size': 62
}
],
'metrics': [
{
'name': 'accuracy@gender',
'type': 'accuracy',
'annotation_source': 'gender_annotation',
'prediction_source': 'gender'
},
{
'name': 'accuracy@age',
'type': 'accuracy_per_class',
'presenter': 'print_vector',
'label_map': 'age_label_map',
'annotation_source': 'age_class_annotation',
'prediction_source': 'age_classification'
},
{
'type': 'mae'
}
]
}
]
}
],
'stat_requests_number': null,
'eval_requests_number': null,
'type': 'accuracy_checker'
}
}