242 lines
8.9 KiB
Python
242 lines
8.9 KiB
Python
"""
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file_name: process_file
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project_name: DBM
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created: 2020-20-07
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"""
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from dbm_lib.config import config_reader, config_raw_feature, config_derive_feature
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from dbm_lib.controller import process_feature as pf
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from dbm_lib.dbm_features.raw_features.video import open_face_process as of
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from dbm_lib.dbm_features.derived_features import derive as der
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import pandas as pd
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import os
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import argparse
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import logging
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import glob
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import time
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import subprocess
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from os.path import splitext
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logging.basicConfig(level=logging.INFO)
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logger=logging.getLogger()
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OPENFACE_PATH_VIDEO = 'pkg/open_dbm/OpenFace/build/bin/FaceLandmarkVid'
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OPENFACE_PATH = 'pkg/open_dbm/OpenFace/build/bin/FeatureExtraction'
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DEEP_SPEECH = 'pkg/DeepSpeech'
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DLIB_SHAPE_MODEL = 'pkg/shape_detector/shape_predictor_68_face_landmarks.dat'
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def common_video(video_file, args, r_config):
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"""
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Common function for video feature processing
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Args:
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video_file: video file path
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args: user supplied arguments
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r_config: raw feature config object
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"""
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out_path = os.path.join(args.output_path, 'raw_variables')
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pf.audio_to_wav(video_file)
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of.process_open_face(video_file, os.path.dirname(video_file), out_path, OPENFACE_PATH, args.dbm_group,video_tracking=False)
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pf.process_facial(video_file, out_path, args.dbm_group, r_config)
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pf.process_acoustic(video_file, out_path, args.dbm_group, r_config)
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pf.process_nlp(video_file, out_path, args.dbm_group, args.tr, r_config, DEEP_SPEECH)
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if args.dbm_group == None or len(args.dbm_group)>0 and 'movement' in args.dbm_group:
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of.process_open_face(video_file, os.path.dirname(video_file), out_path, OPENFACE_PATH_VIDEO, args.dbm_group, video_tracking=True)
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pf.process_movement(video_file, out_path, args.dbm_group, r_config, DLIB_SHAPE_MODEL)
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pf.remove_file(video_file)
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def process_raw_video_file(args, s_config, r_config):
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"""
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Processing video file
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Args:
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args: user supplied arguments
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s_config: service config object
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r_config: raw feature config object
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"""
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try:
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if args.output_path != None:
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video_file = glob.glob(args.input_path)
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if len(video_file)>0:
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logger.info('Calculating raw variables...')
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common_video(video_file[0], args, r_config)
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else:
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logger.info('Enter correct video(*.mp4) file path.')
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except Exception as e:
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logger.error('Failed to process mp4 file.')
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pf.remove_file(video_file[0])
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def process_raw_audio_file(args, s_config, r_config):
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"""
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Processing audio file
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Args:
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args: user supplied arguments
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s_config: service config object
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r_config: raw feature config object
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"""
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try:
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if args.output_path != None:
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audio_file = glob.glob(args.input_path)
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if len(audio_file)>0:
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logger.info('Calculating raw variables...')
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out_path = os.path.join(args.output_path, 'raw_variables')
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pf.process_acoustic(audio_file[0], out_path, args.dbm_group, r_config)
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pf.process_nlp(audio_file[0], out_path, args.dbm_group, args.tr, r_config, DEEP_SPEECH)
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else:
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logger.info('Enter correct audio(*.wav) file path.')
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except Exception as e:
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logger.error('Failed to process wav file.')
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def process_raw_video_dir(args, s_config, r_config):
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"""
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Processing video file
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Args:
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args: user supplied arguments
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s_config: service config object
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r_config: raw feature config object
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"""
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if args.output_path != None:
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vid_loc = glob.glob(args.input_path + '/*.mp4') + glob.glob(args.input_path + '/*.mov') + glob.glob(args.input_path + '/*.MOV')
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if len(vid_loc) == 0:
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logger.info('Directory does not have any MP4 files.')
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return
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logger.info('Calculating raw variables...')
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for vid_file in vid_loc:
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try:
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fname, file_ext = os.path.splitext(vid_file)
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if file_ext.lower() == '.mov':
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convert_file(vid_file)
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common_video(fname+'.mp4', args, r_config)
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remove_convert(vid_file, '.mp4') #removing files(ffmpeg converted ) after processing
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except Exception as e:
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logger.error('Failed to process mp4 file.')
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pf.remove_file(vid_file)
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def process_raw_audio_dir(args, s_config, r_config):
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"""
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Processing audio file
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Args:
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args: user supplied arguments
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s_config: service config object
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r_config: raw feature config object
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"""
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if args.output_path != None:
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audio_loc = glob.glob(args.input_path + '/*.wav') + glob.glob(args.input_path + '/*.mp3') + glob.glob(args.input_path + '/*.MP3')
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if len(audio_loc) == 0:
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logger.info('Directory does not have any WAV files.')
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return
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logger.info('Calculating raw variables...')
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for audio in audio_loc:
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try:
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fname, file_ext = os.path.splitext(audio)
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if file_ext.lower() == '.mp3':
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convert_file(audio)
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out_path = os.path.join(args.output_path, 'raw_variables')
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pf.process_acoustic(fname+'.wav', out_path, args.dbm_group, r_config)
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pf.process_nlp(fname +'.wav', out_path, args.dbm_group, args.tr, r_config, DEEP_SPEECH)
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remove_convert(audio, '.wav') #removing files(ffmpeg converted) after processing
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except Exception as e:
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logger.error('Failed to process wav file.')
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def convert_file(input_filepath):
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"""
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Converting mp3/mov to wav/mp4 files
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"""
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_, file_ext = os.path.splitext(os.path.basename(input_filepath))
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fname, _ = splitext(input_filepath)
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call = []
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if file_ext.lower() == '.mp3':
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output_filepath = fname + '.wav'
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logger.info('Converting audio from {} to wav'.format(input_filepath))
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call = ['ffmpeg', '-i', input_filepath, output_filepath]
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if file_ext.lower() == '.mov':
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output_filepath = fname + '.mp4'
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logger.info('Converting video from {} to mp4'.format(input_filepath))
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call = ['ffmpeg', '-i', input_filepath, '-vcodec', 'h264','-acodec','aac', '-strict', '-2', output_filepath]
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if len(call)>0:
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subprocess.check_output(call)
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def remove_convert(input_filepath, file_ext):
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"""
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removing converted files after processing
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"""
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expected_ext = ['.mp3', '.mov']
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input_loc, inp_ext = os.path.splitext(input_filepath)
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if inp_ext.lower() in expected_ext:
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pf.remove_file(input_loc + file_ext, file_ext)
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def process_derive(args, r_config, d_config, input_type):
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"""
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Processing dbm derived variables
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"""
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if input_type == 'file':
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input_file = glob.glob(args.input_path)
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else:
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input_file = glob.glob(args.input_path + '/*')
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out_raw_path = os.path.join(args.output_path, 'raw_variables')
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out_derive_path = os.path.join(args.output_path, 'derived_variables')
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logger.info('Calculating derived variables...')
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feature_df = der.run_derive(input_file, out_raw_path, out_derive_path, r_config, d_config)
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if __name__=="__main__":
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start_time = time.time()
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parser = argparse.ArgumentParser(description="Process video/audio......")
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parser.add_argument("--input_path", help="path to the input files", required=True)
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parser.add_argument("--output_path", help="path to the raw and derived variable output", required=True)
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parser.add_argument("--dbm_group", help="list of feature groups", nargs='+')
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parser.add_argument("--tr", help="speech transcription toogle")
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args = parser.parse_args()
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s_config = config_reader.ConfigReader()
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r_config = config_raw_feature.ConfigRawReader()
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d_config = config_derive_feature.ConfigDeriveReader()
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_, file_ext = os.path.splitext(os.path.basename(args.input_path))
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if file_ext:
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input_type = 'file'
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if file_ext.lower() in ['.mp4','.mov']:
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if file_ext.lower() == '.mov':
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convert_file(args.input_path)
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process_raw_video_file(args, s_config, r_config)
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remove_convert(args.input_path, '.mp4')
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elif file_ext.lower() in ['.wav','.mp3']:
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if file_ext.lower() == '.mp3':
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convert_file(args.input_path)
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process_raw_audio_file(args, s_config, r_config)
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remove_convert(args.input_path, '.wav')
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else:
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logger.error('No WAV/MP3 or MOV/MP4 files detected in input path')
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else:
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input_type = 'dir'
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process_raw_video_dir(args, s_config, r_config)
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process_raw_audio_dir(args, s_config, r_config)
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process_derive(args, r_config, d_config, input_type)
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exec_time = time.time() - start_time
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logger.info('Done! Processing time: {} seconds'.format(exec_time))
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