def get_training_data(self):
fs = FeatureSet.image_set(self.image_set,
sequential_order=self.sequential_order,
shuffle=self.shuffle)
fs = fs.transform(MergeFeatureLabelImagePreprocessing())
fs = fs.transform(ImageFeatureToSample())
return fs
def get_validation_data(self):
if self.validation_image_set is not None:
fs = FeatureSet.image_set(self.validation_image_set,
sequential_order=self.sequential_order,
shuffle=self.shuffle)
fs = fs.transform(MergeFeatureLabelImagePreprocessing())
fs = fs.transform(ImageFeatureToSample())
fs = fs.transform(SampleToMiniBatch(self.batch_size))
return fs
return None
def get_validation_data(self):
if self.validation_image_set is not None:
fs = FeatureSet.image_set(
self.validation_image_set,
sequential_order=self.sequential_order,
shuffle=self.shuffle).transform([
MergeFeatureLabelImagePreprocessing(),
ImageFeatureToSample()
])
return fs
return None