def _load_version(cls, state, version):
"""
A function to load a previously saved ImageClassifier
instance.
"""
_tkutl._model_version_check(version,
cls._PYTHON_IMAGE_CLASSIFIER_VERSION)
from turicreate.toolkits.classifier.logistic_classifier import LogisticClassifier
state['classifier'] = LogisticClassifier(state['classifier'])
state['classes'] = state['classifier'].classes
# Correct models saved with a previous typo
if state['model'] == "VisionFeaturePrint_Screen":
state['model'] = "VisionFeaturePrint_Scene"
# Load pre-trained model & feature extractor
model_name = state['model']
if model_name == "VisionFeaturePrint_Scene" and _mac_ver() < (10, 14):
raise ToolkitError(
"Can not load model on this operating system. This model uses VisionFeaturePrint_Scene, "
"which is only supported on macOS 10.14 and higher.")
state[
'feature_extractor'] = _image_feature_extractor._create_feature_extractor(
model_name)
state['input_image_shape'] = tuple(
[int(i) for i in state['input_image_shape']])
return ImageClassifier(state)
def _load_version(self, state, version):
from turicreate.toolkits.classifier.logistic_classifier import (
LogisticClassifier, )
state["classifier"] = LogisticClassifier(state["classifier"])
state = _PythonProxy(state)
return TextClassifier(state)
def _load_version(cls, state, version):
"""
A function to load a previously saved ImageClassifier
instance.
"""
_tkutl._model_version_check(version, cls._PYTHON_IMAGE_CLASSIFIER_VERSION)
from turicreate.toolkits.classifier.logistic_classifier import LogisticClassifier
state['classifier'] = LogisticClassifier(state['classifier'])
state['classes'] = state['classifier'].classes
# Load pre-trained model & feature extractor
ptModel = _pre_trained_models.MODELS[state['model']]()
feature_extractor = _image_feature_extractor.MXFeatureExtractor(ptModel)
state['feature_extractor'] = feature_extractor
state['input_image_shape'] = tuple([int(i) for i in state['input_image_shape']])
return ImageClassifier(state)
def _load_version(self, state, version):
from turicreate.toolkits.classifier.logistic_classifier import LogisticClassifier
state['classifier'] = LogisticClassifier(state['classifier'])
state = _PythonProxy(state)
return SentenceClassifier(state)