From 3e62be31e0be06cbbcd30f1e7adb0aa4572f8af7 Mon Sep 17 00:00:00 2001 From: atashnezhad Date: Tue, 20 Jun 2023 22:03:24 -0500 Subject: [PATCH 1/2] change info to debug --- neural_network_model/process_data.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/neural_network_model/process_data.py b/neural_network_model/process_data.py index 73eac68..fcdb9af 100644 --- a/neural_network_model/process_data.py +++ b/neural_network_model/process_data.py @@ -347,7 +347,7 @@ def _copy_images( dataset_augmented_dir_address / categ / image, train_test_val_split_dir_address / dest_folder / categ / image, ) - logger.info( + logger.debug( f"copied {len(images)} images for category {categ} to {dest_folder}" ) From dcc48393884ac86919e2c2ddc6a4daef787d8488 Mon Sep 17 00:00:00 2001 From: atashnezhad Date: Tue, 20 Jun 2023 22:06:51 -0500 Subject: [PATCH 2/2] change info to debug 2 --- neural_network_model/process_data.py | 22 +++++++++++----------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/neural_network_model/process_data.py b/neural_network_model/process_data.py index fcdb9af..67cb5d2 100644 --- a/neural_network_model/process_data.py +++ b/neural_network_model/process_data.py @@ -76,7 +76,7 @@ def download_images(self, category_list=None, from_s3=False, limit=None) -> None s3.download_files_from_subfolders( bucket_name, subfolders, download_location_address ) - logger.info("Downloaded images from S3 bucket") + logger.debug("Downloaded images from S3 bucket") return if category_list is None: @@ -91,7 +91,7 @@ def download_images(self, category_list=None, from_s3=False, limit=None) -> None force_replace=False, timeout=120, ) - logger.info("Downloaded images") + logger.debug("Downloaded images") @property def categorie_name(self) -> List[str]: @@ -104,8 +104,8 @@ def categorie_name(self) -> List[str]: self.categories_name_folders = [ x for x in self.categories_name_folders if x not in list_to_ignore ] - logger.info(self.categories_name_folders) - logger.info(f"Categories name: {self.categories_name_folders}") + logger.debug(self.categories_name_folders) + logger.debug(f"Categories name: {self.categories_name_folders}") # for images in each category dir, check if the image is in list_to_ignore, if yes remove from dir for category_folder in self.categories_name_folders: @@ -119,7 +119,7 @@ def categorie_name(self) -> List[str]: for file in os.listdir(data_address): if file in list_to_ignore: os.remove(data_address / file) - logger.info(f"Removed {file} from {category_folder}") + logger.debug(f"Removed {file} from {category_folder}") return self.categories_name_folders @@ -202,13 +202,13 @@ def augment_data( ] for case in SETTING.IGNORE_SETTING.IGNORE_LIST: if case == img_address.name: - logger.info(f"Found {case} in {image_category} folder") + logger.debug(f"Found {case} in {image_category} folder") continue # check if the image name is in the ignore list, if so continue if img_address in SETTING.IGNORE_SETTING.IGNORE_LIST: continue - logger.info(f"Image address: {img_address}") + logger.debug(f"Image address: {img_address}") img = load_img(img_address) @@ -244,7 +244,7 @@ def train_test_split(self, *args, **kwargs): ) # get the list of dirs in the AUGMENTED_IMAGES_DIR_ADDRESS augmented_images_dir_list = os.listdir(augmented_data_address) - logger.info(f"Augmented images dir list: {augmented_images_dir_list}") + logger.debug(f"Augmented images dir list: {augmented_images_dir_list}") # make a new dir for train and test and validation data if not os.path.exists(train_test_val_split_dir_address): @@ -253,7 +253,7 @@ def train_test_split(self, *args, **kwargs): for dir_name in SETTING.PREPROCESSING_SETTING.TRAIN_TEST_SPLIT_DIR_NAMES: if not os.path.exists(train_test_val_split_dir_address / dir_name): os.makedirs(train_test_val_split_dir_address / dir_name) - logger.info(f"Created train, test and validation dirs") + logger.debug(f"Created train, test and validation dirs") # under each train, test and validation dir make a dir for each category for dir_name in SETTING.PREPROCESSING_SETTING.TRAIN_TEST_SPLIT_DIR_NAMES: @@ -262,7 +262,7 @@ def train_test_split(self, *args, **kwargs): train_test_val_split_dir_address / dir_name / category ): os.makedirs(train_test_val_split_dir_address / dir_name / category) - logger.info(f"Created category dirs under train, test and validation dirs") + logger.debug(f"Created category dirs under train, test and validation dirs") self._populated_augmented_images_into_train_test_val_dirs( augmented_data_address, train_test_val_split_dir_address @@ -334,7 +334,7 @@ def _copy_images( # check if the dir is empty, if not delete all the files if os.listdir(train_test_val_split_dir_address / dest_folder / categ): - logger.info( + logger.debug( f"Deleting all the files in {train_test_val_split_dir_address / dest_folder / categ}" ) for file in os.listdir(