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