Source code for simba.outlier_tools.skip_outlier_correction

__author__ = "Simon Nilsson"

import os

from simba.mixins.config_reader import ConfigReader
from simba.utils.checks import check_if_filepath_list_is_empty
from simba.utils.printing import SimbaTimer, stdout_success
from simba.utils.read_write import get_fn_ext, read_df, write_df


[docs]class OutlierCorrectionSkipper(ConfigReader): """ Skip outlier correction in SimBA projects. :parameter str config_path: path to SimBA project config file in Configparser format Examples ---------- >>> _ = OutlierCorrectionSkipper(config_path='MyProjectConfig').run() """ def __init__(self, config_path: str): ConfigReader.__init__(self, config_path=config_path, read_video_info=False) if not os.path.exists(self.outlier_corrected_dir): os.makedirs(self.outlier_corrected_dir) check_if_filepath_list_is_empty( filepaths=self.input_csv_paths, error_msg=f"No files found in {self.input_csv_dir}.", ) print(f"Processing {len(self.input_csv_paths)} file(s)...")
[docs] def run(self): """ Standardizes pose-estimation data (i.e., headers) from different pose-estimation packages. Results are stored in the project_folder/csv/outlier_corrected_movement_location` directory of the SimBA project """ for file_cnt, file_path in enumerate(self.input_csv_paths): video_timer = SimbaTimer(start=True) _, video_name, ext = get_fn_ext(file_path) data_df = read_df( file_path=file_path, file_type=self.file_type, check_multiindex=True ) if "scorer" in data_df.columns: data_df = data_df.set_index("scorer") data_df = self.insert_column_headers_for_outlier_correction( data_df=data_df, new_headers=self.bp_headers, filepath=file_path ) data_df.index.name = None save_path = os.path.join( self.outlier_corrected_dir, video_name + "." + self.file_type ) write_df(df=data_df, file_type=self.file_type, save_path=save_path) video_timer.stop_timer() print( f"Skipped outlier correction for video {video_name} (elapsed time {video_timer.elapsed_time_str}s)..." ) self.timer.stop_timer() stdout_success( msg=f"Skipped outlier correction for {len(self.input_csv_paths)} files", elapsed_time=self.timer.elapsed_time_str, )
# test = OutlierCorrectionSkipper(config_path='/Users/simon/Desktop/envs/troubleshooting/naresh/project_folder/project_config.ini') # test.run()