[console_scripts]
avail_encoders=fractalai.classifier.model:available_encoders
check_csv=fractalai.sanity:check_csv
check_data_loader=fractalai.datasets.dataloader:make_data_loader
check_dataset=fractalai.datasets.dataset:run_dataset
check_metrics=fractalai.utils.metrics:check_metrics
check_transforms=fractalai.datasets.agu:understand_transforms
class_imbalance_plot=fractalai.datasets.dataloader:class_imbalance_plot
data_stat=fractalai.visual:get_data_statistic
extract_products_one_label=fractalai.labelme2folder:make_extract_products_one_label
get_mean_std=fractalai.datasets.dataset:get_mean_std
infer_folder=fractalai.engine.infer:infer_folder
infer_img=fractalai.engine.infer:infer_img_click
infer_val_f1score=fractalai.engine.infer:infer_val_f1score
infer_video=fractalai.engine.infer:infer_video_click
json_to_csv=fractalai.csv_utils:json_to_csv
labelme_counter=fractalai.labelme2folder:make_label_counter
make_csv_given_folders=fractalai.csv_utils:make_csv_given_folders
make_folders_from_csv=fractalai.engine.infer:make_folders_from_csv
make_model=fractalai.engine.utils:make_model
name_classes=fractalai.csv_utils:get_classes
seg_model_params=fractalai.engine.utils:seg_model_params
train=fractalai.engine.trainer:main
vis_random_example=fractalai.datasets.dataset:visualize_random_example

