6d68dca2aec44c5b1a73e6c9db5c5fbf6f731fd0,keras_retinanet/bin/train.py,,main,#Any#,454
 
Before Change
    elif args.snapshot:
        //search the anchors parameters configure beside models
        anchors_path = os.path.join(args.snapshot,"anchors.yaml")
        anchors_path = anchors_path if os.path.exists(anchors_path) else None
        anchors_dict = get_anchors_params(anchors_path)
    else:
        //default anchors params
        anchors_dict = get_anchors_params(None)
After Change
        print("Loading model, this may take a second...")
        model            = models.load_model(args.snapshot, backbone_name=args.backbone)
        training_model   = model
        if args.config and "anchor_parameters" in args.config:
            anchor_params = parse_anchor_parameters(args.config)
            prediction_model = retinanet_bbox(model=model, anchor_params=anchor_params)
        else:
            prediction_model = retinanet_bbox(model=model)
    else:
        weights = args.weights
        // default to imagenet if nothing else is specified
        if weights is None and args.imagenet_weights:

In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 6
Instances
 Project Name: fizyr/keras-retinanet
 Commit Name: 6d68dca2aec44c5b1a73e6c9db5c5fbf6f731fd0
 Time: 2018-09-11
 Author: e.liscio@fizyr.com
 File Name: keras_retinanet/bin/train.py
 Class Name: 
 Method Name: main
 Project Name: fizyr/keras-retinanet
 Commit Name: 6d68dca2aec44c5b1a73e6c9db5c5fbf6f731fd0
 Time: 2018-09-11
 Author: e.liscio@fizyr.com
 File Name: keras_retinanet/bin/evaluate.py
 Class Name: 
 Method Name: main
 Project Name: googledatalab/pydatalab
 Commit Name: 0ac8733a4aa7f6fd9845c2746d9c8346ab794510
 Time: 2017-10-27
 Author: 4618540+rajivpb@users.noreply.github.com
 File Name: google/datalab/contrib/bigquery/operators/_bq_load_operator.py
 Class Name: LoadOperator
 Method Name: execute