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derived logic update

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This commit is contained in:
Vijay Yadev
2020-08-05 16:00:21 -04:00
parent c389fc2c47
commit 7bdf6b891a
19 changed files with 319 additions and 245 deletions
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10
dbm_lib/dbm_features/derived_features/derive.py
View File

@@ -9,6 +9,7 @@ import numpy as np
import glob
import os
import logging
from datetime import datetime
logging.basicConfig(level=logging.INFO)
logger=logging.getLogger()
@@ -34,7 +35,10 @@ def save_derive_output(df_list, feature, out_loc):
df = pd.concat(df_list, ignore_index=True)
feature_dir = 'derive_' + feature
out_dir = os.path.join(out_loc, feature)
now = datetime.now()
dt_string = now.strftime("%d_%m_%YT%H:%M:%S")
out_dir = '{}_{}'.format(out_loc, dt_string)
file_name = os.path.join(out_dir, feature_dir + '.csv')
if not os.path.exists(out_dir):
@@ -146,6 +150,4 @@ def run_derive(input_file, input_dir, output_dir, r_config, d_config):
calc_derive(input_file, input_dir, output_dir, r_cfg_Obj, d_cfg_Obj, feature)
except Exception as e:
logger.error('Failed to process derived variables.')

26
dbm_lib/dbm_features/raw_features/audio/formant_freq.py
View File

@@ -109,17 +109,21 @@ def run_formant(video_uri, out_dir, r_config):
video_uri: video path; r_config: raw variable config object
out_dir: (str) Output directory for processed output
"""
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
aud_filter = glob.glob(join(input_loc, fl_name + '.wav'))
if len(aud_filter)>0:
try:
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
aud_filter = glob.glob(join(input_loc, fl_name + '.wav'))
if len(aud_filter)>0:
audio_file = aud_filter[0]
aud_dur = librosa.get_duration(filename=audio_file)
audio_file = aud_filter[0]
aud_dur = librosa.get_duration(filename=audio_file)
if float(aud_dur) < 0.064:
logger.info('Output file {} size is less than 0.064sec'.format(audio_file))
empty_fm(video_uri, out_loc, fl_name, r_config)
return
if float(aud_dur) < 0.064:
logger.info('Output file {} size is less than 0.064sec'.format(audio_file))
calc_formant(video_uri, audio_file, out_loc, fl_name, r_config)
empty_fm(video_uri, out_loc, fl_name, r_config)
return
calc_formant(video_uri, audio_file, out_loc, fl_name, r_config)
except Exception as e:
logger.error('Failed to process audio file')

28
dbm_lib/dbm_features/raw_features/audio/gne.py
View File

@@ -140,18 +140,22 @@ def run_gne(video_uri, out_dir, r_config):
video_uri: video path; r_config: raw variable config object
out_dir: (str) Output directory for processed output
"""
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
aud_filter = glob.glob(join(input_loc, fl_name + '.wav'))
if len(aud_filter)>0:
try:
audio_file = aud_filter[0]
aud_dur = librosa.get_duration(filename=audio_file)
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
aud_filter = glob.glob(join(input_loc, fl_name + '.wav'))
if len(aud_filter)>0:
if float(aud_dur) < 0.064:
logger.info('Output file {} size is less than 0.064sec'.format(audio_file))
error_txt = 'error: length less than 0.064'
empty_gne(video_uri, out_loc, fl_name, r_config, error_txt)
return
audio_file = aud_filter[0]
aud_dur = librosa.get_duration(filename=audio_file)
calc_gne(video_uri, audio_file, out_loc, fl_name, r_config)
if float(aud_dur) < 0.064:
logger.info('Output file {} size is less than 0.064sec'.format(audio_file))
error_txt = 'error: length less than 0.064'
empty_gne(video_uri, out_loc, fl_name, r_config, error_txt)
return
calc_gne(video_uri, audio_file, out_loc, fl_name, r_config)
except Exception as e:
logger.error('Failed to process audio file')

26
dbm_lib/dbm_features/raw_features/audio/hnr.py
View File

@@ -76,17 +76,21 @@ def run_hnr(video_uri, out_dir, r_config):
video_uri: video path; r_config: raw variable config object
out_dir: (str) Output directory for processed output
"""
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
aud_filter = glob.glob(join(input_loc, fl_name + '.wav'))
if len(aud_filter)>0:
try:
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
aud_filter = glob.glob(join(input_loc, fl_name + '.wav'))
if len(aud_filter)>0:
audio_file = aud_filter[0]
aud_dur = librosa.get_duration(filename=audio_file)
audio_file = aud_filter[0]
aud_dur = librosa.get_duration(filename=audio_file)
if float(aud_dur) < 0.064:
logger.info('Output file {} size is less than 0.064sec'.format(audio_file))
empty_hnr(video_uri, out_loc, fl_name, r_config)
return
if float(aud_dur) < 0.064:
logger.info('Output file {} size is less than 0.064sec'.format(audio_file))
calc_hnr(video_uri, audio_file, out_loc, fl_name, r_config)
empty_hnr(video_uri, out_loc, fl_name, r_config)
return
calc_hnr(video_uri, audio_file, out_loc, fl_name, r_config)
except Exception as e:
logger.error('Failed to process audio file')

26
dbm_lib/dbm_features/raw_features/audio/intensity.py
View File

@@ -72,17 +72,21 @@ def run_intensity(video_uri, out_dir, r_config):
video_uri: video path; r_config: raw variable config object
out_dir: (str) Output directory for processed output
"""
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
aud_filter = glob.glob(join(input_loc, fl_name + '.wav'))
if len(aud_filter)>0:
try:
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
aud_filter = glob.glob(join(input_loc, fl_name + '.wav'))
if len(aud_filter)>0:
audio_file = aud_filter[0]
aud_dur = librosa.get_duration(filename=audio_file)
audio_file = aud_filter[0]
aud_dur = librosa.get_duration(filename=audio_file)
if float(aud_dur) < 0.064:
logger.info('Output file {} size is less than 0.064sec'.format(audio_file))
empty_intensity(video_uri, out_loc, fl_name, r_config)
return
if float(aud_dur) < 0.064:
logger.info('Output file {} size is less than 0.064sec'.format(audio_file))
calc_intensity(video_uri, audio_file, out_loc, fl_name, r_config)
empty_intensity(video_uri, out_loc, fl_name, r_config)
return
calc_intensity(video_uri, audio_file, out_loc, fl_name, r_config)
except Exception as e:
logger.error('Failed to process audio file')

26
dbm_lib/dbm_features/raw_features/audio/jitter.py
View File

@@ -138,18 +138,22 @@ def run_jitter(video_uri, out_dir, r_config):
video_uri: video path; r_config: raw variable config object
out_dir: (str) Output directory for processed output
"""
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
aud_filter = glob.glob(join(input_loc, fl_name + '.wav'))
if len(aud_filter)>0:
try:
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
aud_filter = glob.glob(join(input_loc, fl_name + '.wav'))
if len(aud_filter)>0:
audio_file = aud_filter[0]
aud_dur = librosa.get_duration(filename=audio_file)
audio_file = aud_filter[0]
aud_dur = librosa.get_duration(filename=audio_file)
if float(aud_dur) < 0.064:
logger.info('Output file {} size is less than 0.064sec'.format(audio_file))
if float(aud_dur) < 0.064:
logger.info('Output file {} size is less than 0.064sec'.format(audio_file))
error_txt = 'error: length less than 0.064'
empty_jitter(video_uri, out_loc, fl_name, r_config, error_txt)
return
error_txt = 'error: length less than 0.064'
empty_jitter(video_uri, out_loc, fl_name, r_config, error_txt)
return
calc_jitter(video_uri, audio_file, out_loc, fl_name, r_config)
calc_jitter(video_uri, audio_file, out_loc, fl_name, r_config)
except Exception as e:
logger.error('Failed to process audio file')

31
dbm_lib/dbm_features/raw_features/audio/mfcc.py
View File

@@ -85,18 +85,21 @@ def run_mfcc(video_uri, out_dir, r_config):
video_uri: video path; r_config: raw variable config object
out_dir: (str) Output directory for processed output
"""
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
aud_filter = glob.glob(join(input_loc, fl_name + '.wav'))
if len(aud_filter)>0:
try:
audio_file = aud_filter[0]
aud_dur = librosa.get_duration(filename=audio_file)
if float(aud_dur) < 0.064:
logger.info('Output file {} size is less than 0.064sec'.format(audio_file))
empty_mfcc(video_uri, out_loc, fl_name, r_config)
return
calc_mfcc(video_uri, audio_file, out_loc, fl_name, r_config)
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
aud_filter = glob.glob(join(input_loc, fl_name + '.wav'))
if len(aud_filter)>0:
audio_file = aud_filter[0]
aud_dur = librosa.get_duration(filename=audio_file)
if float(aud_dur) < 0.064:
logger.info('Output file {} size is less than 0.064sec'.format(audio_file))
empty_mfcc(video_uri, out_loc, fl_name, r_config)
return
calc_mfcc(video_uri, audio_file, out_loc, fl_name, r_config)
except Exception as e:
logger.error('Failed to process audio file')

71
dbm_lib/dbm_features/raw_features/audio/pause_segment.py
View File

@@ -131,37 +131,42 @@ def run_pause_segment(video_uri, out_dir, r_config):
video_uri: video path; r_config: raw variable config object
out_dir: (str) Output directory for processed output
"""
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
aud_filter = glob.glob(join(input_loc, fl_name + '.wav'))
if len(aud_filter)>0:
audio_file = aud_filter[0]
aud_dur = librosa.get_duration(filename=audio_file)
if float(aud_dur) < 0.064:
logger.info('Output file {} size is less than 0.064sec'.format(audio_file))
error_txt = 'error: length less than 0.064'
empty_pause_segment(video_uri, out_loc, fl_name, r_config, error_txt)
return
logger.info('Converting stereo sound to mono-lD')
sound_mono = AudioSegment.from_wav(audio_file)
sound_mono = sound_mono.set_channels(1)
sound_mono = sound_mono.set_frame_rate(48000)
mono_wav = os.path.join(input_loc, fl_name + '_mono.wav')
sound_mono.export(mono_wav, format="wav")
df_pause_seg = process_silence(mono_wav, r_config)
os.remove(mono_wav)#removing mono wav file
try:
if isinstance(df_pause_seg, pd.DataFrame) and len(df_pause_seg)>0:
logger.info('Processing Output file {} '.format(out_loc))
df_pause_seg['dbm_master_url'] = video_uri
ut.save_output(df_pause_seg, out_loc, fl_name, pause_seg_dir, csv_ext)
else:
error_txt = 'error: webrtcvad returns no segment'
empty_pause_segment(video_uri, out_loc, fl_name, r_config, error_txt)
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
aud_filter = glob.glob(join(input_loc, fl_name + '.wav'))
if len(aud_filter)>0:
audio_file = aud_filter[0]
aud_dur = librosa.get_duration(filename=audio_file)
if float(aud_dur) < 0.064:
logger.info('Output file {} size is less than 0.064sec'.format(audio_file))
error_txt = 'error: length less than 0.064'
empty_pause_segment(video_uri, out_loc, fl_name, r_config, error_txt)
return
logger.info('Converting stereo sound to mono-lD')
sound_mono = AudioSegment.from_wav(audio_file)
sound_mono = sound_mono.set_channels(1)
sound_mono = sound_mono.set_frame_rate(48000)
mono_wav = os.path.join(input_loc, fl_name + '_mono.wav')
sound_mono.export(mono_wav, format="wav")
df_pause_seg = process_silence(mono_wav, r_config)
os.remove(mono_wav)#removing mono wav file
if isinstance(df_pause_seg, pd.DataFrame) and len(df_pause_seg)>0:
logger.info('Processing Output file {} '.format(out_loc))
df_pause_seg['dbm_master_url'] = video_uri
ut.save_output(df_pause_seg, out_loc, fl_name, pause_seg_dir, csv_ext)
else:
error_txt = 'error: webrtcvad returns no segment'
empty_pause_segment(video_uri, out_loc, fl_name, r_config, error_txt)
except Exception as e:
logger.error('Failed to process audio file')

26
dbm_lib/dbm_features/raw_features/audio/pitch_freq.py
View File

@@ -93,17 +93,21 @@ def run_pitch(video_uri, out_dir, r_config):
video_uri: video path; r_config: raw variable config object
out_dir: (str) Output directory for processed output
"""
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
aud_filter = glob.glob(join(input_loc, fl_name + '.wav'))
if len(aud_filter)>0:
try:
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
aud_filter = glob.glob(join(input_loc, fl_name + '.wav'))
if len(aud_filter)>0:
audio_file = aud_filter[0]
aud_dur = librosa.get_duration(filename=audio_file)
audio_file = aud_filter[0]
aud_dur = librosa.get_duration(filename=audio_file)
if float(aud_dur) < 0.064:
logger.info('Output file {} size is less than 0.064sec'.format(audio_file))
empty_pitch(video_uri, out_loc, fl_name, r_config)
return
if float(aud_dur) < 0.064:
logger.info('Output file {} size is less than 0.064sec'.format(audio_file))
calc_pitch(video_uri, audio_file, out_loc, fl_name, r_config)
empty_pitch(video_uri, out_loc, fl_name, r_config)
return
calc_pitch(video_uri, audio_file, out_loc, fl_name, r_config)
except Exception as e:
logger.error('Failed to process audio file')

29
dbm_lib/dbm_features/raw_features/audio/shimmer.py
View File

@@ -139,19 +139,22 @@ def run_shimmer(video_uri, out_dir, r_config):
video_uri: video path; r_config: raw variable config object
out_dir: (str) Output directory for processed output
"""
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
aud_filter = glob.glob(join(input_loc, fl_name + '.wav'))
if len(aud_filter)>0:
try:
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
aud_filter = glob.glob(join(input_loc, fl_name + '.wav'))
if len(aud_filter)>0:
audio_file = aud_filter[0]
aud_dur = librosa.get_duration(filename=audio_file)
audio_file = aud_filter[0]
aud_dur = librosa.get_duration(filename=audio_file)
if float(aud_dur) < 0.064:
logger.info('Output file {} size is less than 0.064sec'.format(audio_file))
if float(aud_dur) < 0.064:
logger.info('Output file {} size is less than 0.064sec'.format(audio_file))
error_txt = 'error: length less than 0.064'
empty_shimmer(video_uri, out_loc, fl_name, r_config, error_txt)
return
calc_shimmer(video_uri, audio_file, out_loc, fl_name, r_config)
error_txt = 'error: length less than 0.064'
empty_shimmer(video_uri, out_loc, fl_name, r_config, error_txt)
return
calc_shimmer(video_uri, audio_file, out_loc, fl_name, r_config)
except Exception as e:
logger.error('Failed to process audio file')

26
dbm_lib/dbm_features/raw_features/audio/voice_frame_score.py
View File

@@ -91,17 +91,21 @@ def run_vfs(video_uri, out_dir, r_config):
video_uri: video path; r_config: raw variable config object
out_dir: (str) Output directory for processed output
"""
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
aud_filter = glob.glob(join(input_loc, fl_name + '.wav'))
if len(aud_filter)>0:
try:
audio_file = aud_filter[0]
aud_dur = librosa.get_duration(filename=audio_file)
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
aud_filter = glob.glob(join(input_loc, fl_name + '.wav'))
if len(aud_filter)>0:
if float(aud_dur) < 0.064:
logger.info('Output file {} size is less than 0.064sec'.format(audio_file))
empty_vfs(video_uri, out_loc, fl_name, r_config)
return
audio_file = aud_filter[0]
aud_dur = librosa.get_duration(filename=audio_file)
calc_vfs(video_uri, audio_file, out_loc, fl_name, r_config)
if float(aud_dur) < 0.064:
logger.info('Output file {} size is less than 0.064sec'.format(audio_file))
empty_vfs(video_uri, out_loc, fl_name, r_config)
return
calc_vfs(video_uri, audio_file, out_loc, fl_name, r_config)
except Exception as e:
logger.error('Failed to process audio file')

18
dbm_lib/dbm_features/raw_features/movement/eye_blink.py
View File

@@ -145,12 +145,16 @@ def run_eye_blink(video_uri, out_dir, r_config, facial_landmarks):
out_dir: (str) Output directory for processed output; r_config: raw variable config object;
facial_landmarks: landmark model path
"""
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
vid_file_path = os.path.exists(video_uri)
if vid_file_path==True:
logger.info('Processing Output file {} '.format(os.path.join(out_loc, fl_name)))
df_blink = blink_detection(video_uri, facial_landmarks, r_config)
ut.save_output(df_blink, out_loc, fl_name, movement_expr_dir, csv_ext)
try:
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
vid_file_path = os.path.exists(video_uri)
if vid_file_path==True:
logger.info('Processing Output file {} '.format(os.path.join(out_loc, fl_name)))
df_blink = blink_detection(video_uri, facial_landmarks, r_config)
ut.save_output(df_blink, out_loc, fl_name, movement_expr_dir, csv_ext)
except Exception as e:
logger.error('Failed to process video file')

22
dbm_lib/dbm_features/raw_features/movement/head_motion.py
View File

@@ -178,16 +178,18 @@ def run_head_movement(video_uri, out_dir, r_config):
video_uri: video path; input_dir : input directory for video's
out_dir: (str) Output directory for processed output; r_config: raw variable config object
"""
try:
#filtering path to generate input & output path
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
of_csv_path = glob.glob(join(out_loc, fl_name + '_OF_features/*.csv'))
#filtering path to generate input & output path
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
of_csv_path = glob.glob(join(out_loc, fl_name + '_OF_features/*.csv'))
if len(of_csv_path)>0:
if len(of_csv_path)>0:
of_csv = of_csv_path[0]
df_of = pd.read_csv(of_csv, error_bad_lines=False)
logger.info('Processing Output file {} '.format(os.path.join(out_loc, fl_name)))
calc_head_mov(video_uri, df_of, out_loc, fl_name, r_config)
of_csv = of_csv_path[0]
df_of = pd.read_csv(of_csv, error_bad_lines=False)
logger.info('Processing Output file {} '.format(os.path.join(out_loc, fl_name)))
calc_head_mov(video_uri, df_of, out_loc, fl_name, r_config)
except Exception as e:
logger.error('Failed to process video file')

32
dbm_lib/dbm_features/raw_features/video/face_asymmetry.py
View File

@@ -333,19 +333,23 @@ def run_face_asymmetry(video_uri, out_dir, f_cfg):
video_uri: video path; f_cfg: face config object
out_dir: (str) Output directory for processed output
"""
#Baseline logic
cfr = ConfigFaceReader()
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
of_csv_path = glob.glob(join(out_loc, fl_name + '_OF_features/*.csv'))
if len(of_csv_path)>0:
try:
of_csv = of_csv_path[0]
asym_df_list = calc_asym_feature(of_csv, f_cfg)
asym_final_df = pd.concat(asym_df_list, ignore_index=True)
asym_final_df['dbm_master_url'] = video_uri
logger.info('Processing Output file {} '.format(os.path.join(out_loc, fl_name)))
ut.save_output(asym_final_df, out_loc, fl_name, face_asym_dir, csv_ext)
#Baseline logic
cfr = ConfigFaceReader()
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
of_csv_path = glob.glob(join(out_loc, fl_name + '_OF_features/*.csv'))
if len(of_csv_path)>0:
of_csv = of_csv_path[0]
asym_df_list = calc_asym_feature(of_csv, f_cfg)
asym_final_df = pd.concat(asym_df_list, ignore_index=True)
asym_final_df['dbm_master_url'] = video_uri
logger.info('Processing Output file {} '.format(os.path.join(out_loc, fl_name)))
ut.save_output(asym_final_df, out_loc, fl_name, face_asym_dir, csv_ext)
except Exception as e:
logger.error('Failed to process video file')

46
dbm_lib/dbm_features/raw_features/video/face_au.py
View File

@@ -68,27 +68,31 @@ def run_face_au(video_uri, out_dir, f_cfg):
video_uri: video path; f_cfg: face config object
out_dir: (str) Output directory for processed output
"""
#Baseline logic
cfr = ConfigFaceReader()
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
of_csv_path = glob.glob(join(out_loc, fl_name + '_OF_features/*.csv'))
if len(of_csv_path)>0:
try:
df_of = pd.read_csv(of_csv_path[0], error_bad_lines=False)
df_au = df_of[extract_col_nm_au(df_of)]
df_au = df_au.copy()
df_au['frame'] = df_of['frame']
df_au['face_id'] = df_of[' face_id']
df_au['timestamp'] = df_of[' timestamp']
df_au['confidence'] = df_of[' confidence']
df_au['success'] = df_of[' success']
#Baseline logic
cfr = ConfigFaceReader()
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
df_au = au_col_nm_map(df_au)
df_au['dbm_master_url'] = video_uri
logger.info('Processing Output file {} '.format(os.path.join(out_loc, fl_name)))
ut.save_output(df_au, out_loc, fl_name, face_au_dir, csv_ext)
of_csv_path = glob.glob(join(out_loc, fl_name + '_OF_features/*.csv'))
if len(of_csv_path)>0:
df_of = pd.read_csv(of_csv_path[0], error_bad_lines=False)
df_au = df_of[extract_col_nm_au(df_of)]
df_au = df_au.copy()
df_au['frame'] = df_of['frame']
df_au['face_id'] = df_of[' face_id']
df_au['timestamp'] = df_of[' timestamp']
df_au['confidence'] = df_of[' confidence']
df_au['success'] = df_of[' success']
df_au = au_col_nm_map(df_au)
df_au['dbm_master_url'] = video_uri
logger.info('Processing Output file {} '.format(os.path.join(out_loc, fl_name)))
ut.save_output(df_au, out_loc, fl_name, face_au_dir, csv_ext)
except Exception as e:
logger.error('Failed to process video file')

35
dbm_lib/dbm_features/raw_features/video/face_emotion_expressivity.py
View File

@@ -60,19 +60,24 @@ def run_face_expressivity(video_uri, out_dir, f_cfg):
video_uri: video path; f_cfg: raw variable config object
out_dir: (str) Output directory for processed output
"""
#Baseline logic
cfr = ConfigFaceReader()
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
of_csv_path = glob.glob(join(out_loc, fl_name + '_OF_features/*.csv'))
if len(of_csv_path)>0:
try:
df_of = pd.read_csv(of_csv_path[0], error_bad_lines=False)
df_of = df_of[cfr.AU_fl]
expr_df_list = of_feature(df_of, cfr, f_cfg)
exp_final_df = pd.concat(expr_df_list, ignore_index=True)
exp_final_df['dbm_master_url'] = video_uri
logger.info('Processing Output file {} '.format(os.path.join(out_loc, fl_name)))
ut.save_output(exp_final_df, out_loc, fl_name, face_expr_dir, csv_ext)
#Baseline logic
cfr = ConfigFaceReader()
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
of_csv_path = glob.glob(join(out_loc, fl_name + '_OF_features/*.csv'))
if len(of_csv_path)>0:
df_of = pd.read_csv(of_csv_path[0], error_bad_lines=False)
df_of = df_of[cfr.AU_fl]
expr_df_list = of_feature(df_of, cfr, f_cfg)
exp_final_df = pd.concat(expr_df_list, ignore_index=True)
exp_final_df['dbm_master_url'] = video_uri
logger.info('Processing Output file {} '.format(os.path.join(out_loc, fl_name)))
ut.save_output(exp_final_df, out_loc, fl_name, face_expr_dir, csv_ext)
except Exception as e:
logger.error('Failed to process video file')

46
dbm_lib/dbm_features/raw_features/video/face_landmark.py
View File

@@ -92,27 +92,31 @@ def run_face_landmark(video_uri, out_dir, f_cfg):
video_uri: video path; f_cfg: raw variable config object
out_dir: (str) Output directory for processed output
"""
#Baseline logic
cfr = ConfigFaceReader()
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
of_csv_path = glob.glob(join(out_loc, fl_name + '_OF_features/*.csv'))
if len(of_csv_path)>0:
try:
df_of = pd.read_csv(of_csv_path[0], error_bad_lines=False)
df_lmk = df_of[extract_col_nm_lmk(df_of)]
df_lmk = df_lmk.copy()
df_lmk['frame'] = df_of['frame']
df_lmk['face_id'] = df_of[' face_id']
df_lmk['timestamp'] = df_of[' timestamp']
df_lmk['confidence'] = df_of[' confidence']
df_lmk['success'] = df_of[' success']
#Baseline logic
cfr = ConfigFaceReader()
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
df_lmk = lmk_col_nm_map(df_lmk)
df_lmk = add_disp_3D(df_lmk)
df_lmk['dbm_master_url'] = video_uri
logger.info('Processing Output file {} '.format(join(out_loc, fl_name)))
ut.save_output(df_lmk, out_loc, fl_name, face_lmk_dir, csv_ext)
of_csv_path = glob.glob(join(out_loc, fl_name + '_OF_features/*.csv'))
if len(of_csv_path)>0:
df_of = pd.read_csv(of_csv_path[0], error_bad_lines=False)
df_lmk = df_of[extract_col_nm_lmk(df_of)]
df_lmk = df_lmk.copy()
df_lmk['frame'] = df_of['frame']
df_lmk['face_id'] = df_of[' face_id']
df_lmk['timestamp'] = df_of[' timestamp']
df_lmk['confidence'] = df_of[' confidence']
df_lmk['success'] = df_of[' success']
df_lmk = lmk_col_nm_map(df_lmk)
df_lmk = add_disp_3D(df_lmk)
df_lmk['dbm_master_url'] = video_uri
logger.info('Processing Output file {} '.format(join(out_loc, fl_name)))
ut.save_output(df_lmk, out_loc, fl_name, face_lmk_dir, csv_ext)
except Exception as e:
logger.error('Failed to process video file')

15
dbm_lib/dbm_features/raw_features/video/open_face_process.py
View File

@@ -60,8 +60,13 @@ def process_open_face(video_uri, input_dir, out_dir, of_path, dbm_group):
out_dir: (str) Output directory for processed output; of_path: OpenFace source code path
"""
if dbm_group != None and len(dbm_group) == 1 and 'acoustic' in dbm_group:
return
filepaths = [video_uri]
csv_filepaths = batch_open_face(filepaths, video_uri, input_dir, out_dir, of_path)
try:
if dbm_group != None and len(dbm_group) == 1 and 'acoustic' in dbm_group:
return
filepaths = [video_uri]
csv_filepaths = batch_open_face(filepaths, video_uri, input_dir, out_dir, of_path)
except Exception as e:
logger.error('Failed to process video file')