31100ce1a4e4ce730cc17d43c6cc5a295d746d57,deepplantphenomics/deepplantpheno.py,DPPModel,load_dataset_from_directory_with_auto_labels,#DPPModel#Any#,1045

Before Change

            train_images, train_labels, test_images, test_labels = loaders.split_raw_data(image_files, labels, self.__train_test_split)

        // create batches of input data and labels for training
        with self.__graph.as_default():
            self.__parse_dataset(train_images, train_labels, test_images, test_labels)

    def load_lemnatec_images_from_directory(self, dirname):
        
        Loads the RGB (VIS) images from a Lemnatec plant scanner image dataset. Unless you only want to do
        preprocessing, regression or classification labels MUST be loaded first.

After Change

        // split data
        with self.__graph.as_default():
            if self.__has_moderation:
                train_images, train_labels, test_images, test_labels, train_mf, test_mf = \
                    loaders.split_raw_data(image_files, labels, self.__train_test_split, moderation_features=self.__all_moderation_features)
                self.__parse_dataset(train_images, train_labels, test_images, test_labels, train_mf=train_mf, test_mf=test_mf)
            else:
                train_images, train_labels, test_images, test_labels = loaders.split_raw_data(image_files, labels, self.__train_test_split)
                self.__parse_dataset(train_images, train_labels, test_images, test_labels)

    def load_lemnatec_images_from_directory(self, dirname):
        
        Loads the RGB (VIS) images from a Lemnatec plant scanner image dataset. Unless you only want to do
        preprocessing, regression or classification labels MUST be loaded first.

Instances