from .classifier import Classifier try: from .weka_classifiers import WekaClassifiers except Exception as e: WekaClassifiers = None print e.message try: from .cnn_caffe import CNNCaffe except Exception as e: CNNCaffe = None print e.message try: from .cnn_keras import CNNKeras except Exception as e: CNNKeras = None print e.message try: from .segnet_keras import SEGNETKeras except Exception as e: SEGNETKeras = None print e.message __all__ = ["classifier", "cnn_caffe", "cnn_keras", "segnet_keras", "weka_classifiers" ] from collections import OrderedDict from util.config import Config _classifier_list = OrderedDict( [ ["cnn_caffe", Config("Invalid" if CNNCaffe is None else CNNCaffe.__name__, WekaClassifiers is None and CNNCaffe is not None, bool, meta=CNNCaffe, hidden=CNNCaffe is None)], ["cnn_keras", Config("Invalid" if CNNKeras is None else CNNKeras.__name__, CNNKeras is not None, bool, meta=CNNKeras, hidden=CNNKeras is None)], ["segnet_keras", Config("Invalid" if SEGNETKeras is None else SEGNETKeras.__name__, SEGNETKeras is not None, bool, meta=SEGNETKeras, hidden=SEGNETKeras is None)], ["weka_classifiers", Config("Invalid" if WekaClassifiers is None else WekaClassifiers.__name__, WekaClassifiers is not None, bool, meta=WekaClassifiers, hidden=WekaClassifiers is None)] ] ) def get_classifier_config(): return _classifier_list def set_classifier_config(configs): _classifier_list["cnn_caffe"] = Config.nvl_config(configs["cnn_caffe"], _classifier_list["cnn_caffe"]) _classifier_list["cnn_keras"] = Config.nvl_config(configs["cnn_keras"], _classifier_list["cnn_keras"]) _classifier_list["segnet_keras"] = Config.nvl_config(configs["segnet_keras"], _classifier_list["segnet_keras"]) _classifier_list["weka_classifiers"] = Config.nvl_config(configs["weka_classifiers"], _classifier_list["weka_classifiers"])