Merge pull request #16 from AiCure/ext_face_feature

Ext face feature
This commit is contained in:
vjbytes102
2020-12-15 16:42:48 -05:00
committed by GitHub
30 changed files with 111 additions and 59 deletions

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@@ -194,6 +194,9 @@ class ConfigRawReader(object):
self.neu_exp = config['raw_feature']['neu_exp']
self.cai_exp = config['raw_feature']['cai_exp']
self.com_exp = config['raw_feature']['com_exp']
self.com_lower_exp = config['raw_feature']['com_lower_exp']
self.com_upper_exp = config['raw_feature']['com_upper_exp']
self.pai_exp = config['raw_feature']['pai_exp']
self.hap_exp_full = config['raw_feature']['hap_exp_full']
self.sad_exp_full = config['raw_feature']['sad_exp_full']
self.sur_exp_full = config['raw_feature']['sur_exp_full']
@@ -206,6 +209,9 @@ class ConfigRawReader(object):
self.neu_exp_full = config['raw_feature']['neu_exp_full']
self.cai_exp_full = config['raw_feature']['cai_exp_full']
self.com_exp_full = config['raw_feature']['com_exp_full']
self.com_lower_exp_full = config['raw_feature']['com_lower_exp_full']
self.com_upper_exp_full = config['raw_feature']['com_upper_exp_full']
self.pai_exp_full = config['raw_feature']['pai_exp_full']
self.fac_AsymMaskMouth = config['raw_feature']['fac_AsymMaskMouth']
self.fac_AsymMaskEye = config['raw_feature']['fac_AsymMaskEye']
self.fac_AsymMaskEyebrow = config['raw_feature']['fac_AsymMaskEyebrow']

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@@ -152,13 +152,13 @@ def process_nlp(video_uri, out_dir, dbm_group, tran_tog, r_config, deep_path):
speech_features.run_speech_feature(video_uri, out_dir, r_config, tran_tog)
def remove_file(file_path):
def remove_file(file_path, file_ext = '.wav'):
"""
removing wav file
"""
file_dir = dirname(file_path)
file_name, _ = splitext(basename(file_path))
wav_file = glob.glob(join(file_dir, file_name + '.wav'))
wav_file = glob.glob(join(file_dir, file_name + file_ext))
if len(wav_file)> 0:
os.remove(wav_file[0])

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@@ -18,7 +18,7 @@ from dbm_lib.dbm_features.raw_features.util import util as ut
logging.basicConfig(level=logging.INFO)
logger=logging.getLogger()
formant_dir = 'audio/formant_freq'
formant_dir = 'acoustic/formant_freq'
csv_ext = '_formant.csv'
error_txt = 'error: length less than 0.064'

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@@ -19,8 +19,8 @@ from dbm_lib.dbm_features.raw_features.util import util as ut
logging.basicConfig(level=logging.INFO)
logger=logging.getLogger()
gne_dir = 'audio/glottal_noise'
ff_dir = 'audio/pitch'
gne_dir = 'acoustic/glottal_noise'
ff_dir = 'acoustic/pitch'
csv_ext = '_gne.csv'
def gne_ratio(sound):

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@@ -18,7 +18,7 @@ from dbm_lib.dbm_features.raw_features.util import util as ut
logging.basicConfig(level=logging.INFO)
logger=logging.getLogger()
hnr_dir = 'audio/harmonic_noise'
hnr_dir = 'acoustic/harmonic_noise'
csv_ext = '_hnr.csv'
error_txt = 'error: length less than 0.064'

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@@ -17,7 +17,7 @@ from dbm_lib.dbm_features.raw_features.util import util as ut
logging.basicConfig(level=logging.INFO)
logger=logging.getLogger()
intensity_dir = 'audio/intensity'
intensity_dir = 'acoustic/intensity'
csv_ext = '_intensity.csv'
error_txt = 'error: length less than 0.064'

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@@ -20,8 +20,8 @@ from dbm_lib.dbm_features.raw_features.util import util as ut
logging.basicConfig(level=logging.INFO)
logger=logging.getLogger()
jitter_dir = 'audio/jitter'
ff_dir = 'audio/pitch'
jitter_dir = 'acoustic/jitter'
ff_dir = 'acoustic/pitch'
csv_ext = '_jitter.csv'
def audio_jitter(sound):

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@@ -19,7 +19,7 @@ from dbm_lib.dbm_features.raw_features.util import util as ut
logging.basicConfig(level=logging.INFO)
logger=logging.getLogger()
mfcc_dir = 'audio/mfcc'
mfcc_dir = 'acoustic/mfcc'
csv_ext = '_mfcc.csv'
error_txt = 'error: length less than 0.064'

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@@ -20,7 +20,7 @@ from dbm_lib.dbm_features.raw_features.util import util as ut
logging.basicConfig(level=logging.INFO)
logger=logging.getLogger()
pause_seg_dir = 'audio/pause_segment'
pause_seg_dir = 'acoustic/pause_segment'
csv_ext = '_pausechar.csv'
def get_timing_cues(seg_starts_sec, seg_ends_sec, r_config):

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@@ -18,7 +18,7 @@ from dbm_lib.dbm_features.raw_features.util import util as ut
logging.basicConfig(level=logging.INFO)
logger=logging.getLogger()
ff_dir = 'audio/pitch'
ff_dir = 'acoustic/pitch'
csv_ext = '_pitch.csv'
error_txt = 'error: length less than 0.064'

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@@ -21,8 +21,8 @@ from dbm_lib.dbm_features.raw_features.util import util as ut
logging.basicConfig(level=logging.INFO)
logger=logging.getLogger()
shimmer_dir = 'audio/shimmer'
ff_dir = 'audio/pitch'
shimmer_dir = 'acoustic/shimmer'
ff_dir = 'acoustic/pitch'
csv_ext = '_shimmer.csv'
def audio_shimmer(sound):

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@@ -17,7 +17,7 @@ from dbm_lib.dbm_features.raw_features.util import util as ut
logging.basicConfig(level=logging.INFO)
logger=logging.getLogger()
vfs_dir = 'audio/voice_frame_score'
vfs_dir = 'acoustic/voice_frame_score'
csv_ext = '_voiceprev.csv'
error_txt = 'error: length less than 0.064'

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@@ -135,7 +135,7 @@ def run_eye_gaze(video_uri, out_dir, r_config):
#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'))
of_csv_path = glob.glob(join(out_loc, fl_name + '_openface/*.csv'))
if len(of_csv_path)>0:

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@@ -142,7 +142,7 @@ def fac_tremor_process(video_uri, out_dir, r_config, model_output=False):
# try:
input_loc, out_loc, fl_name = ut.filter_path(video_uri, out_dir)
of_csv_path = glob.glob(join(out_loc, fl_name + '_OF_video_features/*.csv'))
of_csv_path = glob.glob(join(out_loc, fl_name + '_openface_lmk/*.csv'))
if len(of_csv_path)>0:
of_csv = of_csv_path[0]

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@@ -182,7 +182,7 @@ def run_head_movement(video_uri, out_dir, r_config):
#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'))
of_csv_path = glob.glob(join(out_loc, fl_name + '_openface/*.csv'))
if len(of_csv_path)>0:

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@@ -18,9 +18,9 @@ from dbm_lib.dbm_features.raw_features.util import nlp_util as n_util
logging.basicConfig(level=logging.INFO)
logger=logging.getLogger()
speech_dir = 'nlp/speech_feature'
speech_dir = 'speech/speech_feature'
speech_ext = '_nlp.csv'
transcribe_ext = 'nlp/transcribe/*_transcribe.csv'
transcribe_ext = 'speech/deepspeech/*_transcribe.csv'
def run_speech_feature(video_uri, out_dir, r_config, tran_tog):
"""

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@@ -17,7 +17,7 @@ from dbm_lib.dbm_features.raw_features.util import nlp_util as n_util
logging.basicConfig(level=logging.INFO)
logger=logging.getLogger()
formant_dir = 'nlp/transcribe'
formant_dir = 'speech/deepspeech'
csv_ext = '_transcribe.csv'
error_txt = 'error: length less than 0.1'

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@@ -41,7 +41,7 @@ def deepspeech(AUDIO_FILE,deep_path):
stdout,stderr = out.communicate()
except:
return "error", "error"
print(stderr)
#print(stderr)
return stdout,stderr
def deep_speech_output_clean(result):
@@ -209,4 +209,4 @@ def process_speech(transcribe_df,r_config):
speech_dict['dbm_master_url'] = master_url
df_speech = pd.DataFrame([speech_dict])
return df_speech
return df_speech

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@@ -86,7 +86,7 @@ def compute_open_face_features(input_filepath,
bn, _ = os.path.splitext(os.path.basename(input_filepath))
if not output_directory:
output_directory = os.path.join(os.path.dirname(input_filepath), bn + '_OF_features')
output_directory = os.path.join(os.path.dirname(input_filepath), bn + '_openface')
output_csv = os.path.join(output_directory, bn + '.csv')
if not os.path.isfile(output_csv) or clobber:

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@@ -135,10 +135,11 @@ def calc_of_for_video(of,face_cfg,fe_cfg):
Creating dataframe for emotion expressivity
"""
new_cols = [fe_cfg.hap_exp,fe_cfg.sad_exp,fe_cfg.sur_exp,fe_cfg.fea_exp,fe_cfg.ang_exp,fe_cfg.dis_exp,fe_cfg.con_exp,
fe_cfg.neg_exp,fe_cfg.pos_exp,fe_cfg.neu_exp,fe_cfg.cai_exp,fe_cfg.com_exp,fe_cfg.happ_occ,fe_cfg.sad_occ,
fe_cfg.sur_occ,fe_cfg.fea_occ,fe_cfg.ang_occ,fe_cfg.dis_occ,fe_cfg.con_occ,fe_cfg.hap_exp_full,
fe_cfg.sad_exp_full,fe_cfg.sur_exp_full,fe_cfg.fea_exp_full,fe_cfg.ang_exp_full,fe_cfg.dis_exp_full,
fe_cfg.con_exp_full,fe_cfg.neg_exp_full,fe_cfg.pos_exp_full,fe_cfg.neu_exp_full,fe_cfg.cai_exp_full,
fe_cfg.pai_exp,fe_cfg.neg_exp,fe_cfg.pos_exp,fe_cfg.neu_exp,fe_cfg.com_lower_exp,fe_cfg.com_upper_exp,
fe_cfg.cai_exp,fe_cfg.com_exp,fe_cfg.happ_occ,fe_cfg.sad_occ,fe_cfg.sur_occ,fe_cfg.fea_occ,fe_cfg.ang_occ,
fe_cfg.dis_occ,fe_cfg.con_occ,fe_cfg.hap_exp_full,fe_cfg.sad_exp_full,fe_cfg.sur_exp_full,fe_cfg.fea_exp_full,
fe_cfg.ang_exp_full,fe_cfg.dis_exp_full,fe_cfg.con_exp_full,fe_cfg.pai_exp_full,fe_cfg.neg_exp_full,
fe_cfg.pos_exp_full,fe_cfg.neu_exp_full,fe_cfg.cai_exp_full,fe_cfg.com_lower_exp_full,fe_cfg.com_upper_exp_full,
fe_cfg.com_exp_full]
of[new_cols] = pd.DataFrame([[0] * len(new_cols)], index=of.index)
of[fe_cfg.err_reason] = 'Pass'
@@ -167,6 +168,12 @@ def calc_of_for_video(of,face_cfg,fe_cfg):
emotion_exp(face_cfg.cai,of,[fe_cfg.cai_exp,fe_cfg.cai_exp_full],fe_cfg.err_reason)
#Composite Expressivity
emotion_exp(face_cfg.ACTION_UNITS,of,[fe_cfg.com_exp,fe_cfg.com_exp_full],fe_cfg.err_reason)
#Composite lower face expressivity
emotion_exp(face_cfg.LOWER_ACTION_UNITS,of,[fe_cfg.com_lower_exp,fe_cfg.com_lower_exp_full],fe_cfg.err_reason)
#Composite upper face Expressivity
emotion_exp(face_cfg.UPPER_ACTION_UNITS,of,[fe_cfg.com_upper_exp,fe_cfg.com_upper_exp_full],fe_cfg.err_reason)
#Composite pain expressivity
emotion_exp(face_cfg.pain,of,[fe_cfg.pai_exp,fe_cfg.pai_exp_full],fe_cfg.err_reason)
#AU happiness presence
emotion_pres(face_cfg.happiness,of,fe_cfg.happ_occ,fe_cfg.err_reason)
#AU Sad presence

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@@ -25,7 +25,7 @@ from dbm_lib.dbm_features.raw_features.util import util as ut
logging.basicConfig(level=logging.INFO)
logger=logging.getLogger()
face_asym_dir = 'video/face_asymmetry'
face_asym_dir = 'facial/face_asymmetry'
csv_ext = '_facasym.csv'
cv2_color_purple = (254,19,188)
@@ -339,7 +339,7 @@ def run_face_asymmetry(video_uri, out_dir, f_cfg):
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'))
of_csv_path = glob.glob(join(out_loc, fl_name + '_openface/*.csv'))
if len(of_csv_path)>0:
of_csv = of_csv_path[0]

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@@ -19,7 +19,7 @@ from dbm_lib.dbm_features.raw_features.util import util as ut
logging.basicConfig(level=logging.INFO)
logger=logging.getLogger()
face_au_dir = 'video/face_au'
face_au_dir = 'facial/face_au'
csv_ext = '_facau.csv'
@@ -74,7 +74,7 @@ def run_face_au(video_uri, out_dir, f_cfg):
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'))
of_csv_path = glob.glob(join(out_loc, fl_name + '_openface/*.csv'))
if len(of_csv_path)>0:
df_of = pd.read_csv(of_csv_path[0], error_bad_lines=False)

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@@ -29,7 +29,9 @@ class ConfigFaceReader(object):
self.ACTION_UNITS = config['cdx_face_config']['ACTION_UNITS']
self.NEG_ACTION_UNITS = config['cdx_face_config']['NEG_ACTION_UNITS']
self.POS_ACTION_UNITS = config['cdx_face_config']['POS_ACTION_UNITS']
self.NET_ACTION_UNITS = config['cdx_face_config']['NET_ACTION_UNITS']
self.NET_ACTION_UNITS = config['cdx_face_config']['NET_ACTION_UNITS']
self.LOWER_ACTION_UNITS = config['cdx_face_config']['LOWER_ACTION_UNITS']
self.UPPER_ACTION_UNITS = config['cdx_face_config']['UPPER_ACTION_UNITS']
self.happiness = config['cdx_face_config']['happiness']
self.sadness = config['cdx_face_config']['sadness']
self.surprise = config['cdx_face_config']['surprise']
@@ -37,6 +39,7 @@ class ConfigFaceReader(object):
self.anger = config['cdx_face_config']['anger']
self.disgust = config['cdx_face_config']['disgust']
self.contempt = config['cdx_face_config']['contempt']
self.pain = config['cdx_face_config']['pain']
self.cai = config['cdx_face_config']['CAI']
self.SELECTED_FEATURES = config['cdx_face_config']['SELECTED_FEATURES'].split(',')
self.face_expr_dir = config['cdx_face_config']['face_expr_dir']

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@@ -19,7 +19,7 @@ from dbm_lib.dbm_features.raw_features.util import util as ut
logging.basicConfig(level=logging.INFO)
logger=logging.getLogger()
face_expr_dir = 'video/face_expressivity'
face_expr_dir = 'facial/face_expressivity'
csv_ext = '_facemo.csv'
#Openface feature extraction
@@ -69,7 +69,7 @@ def run_face_expressivity(video_uri, out_dir, f_cfg):
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'))
of_csv_path = glob.glob(join(out_loc, fl_name + '_openface/*.csv'))
if len(of_csv_path)>0:
df_of = pd.read_csv(of_csv_path[0], error_bad_lines=False)

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@@ -19,7 +19,7 @@ from dbm_lib.dbm_features.raw_features.util import util as ut
logging.basicConfig(level=logging.INFO)
logger=logging.getLogger()
face_lmk_dir = 'video/face_landmark'
face_lmk_dir = 'facial/face_landmark'
csv_ext = '_faclmk.csv'
def extract_col_nm_lmk(cols):
@@ -98,7 +98,7 @@ def run_face_landmark(video_uri, out_dir, f_cfg):
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'))
of_csv_path = glob.glob(join(out_loc, fl_name + '_openface/*.csv'))
if len(of_csv_path)>0:
df_of = pd.read_csv(of_csv_path[0], error_bad_lines=False)

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@@ -33,9 +33,9 @@ def batch_open_face(filepaths,video_url, input_dir, out_dir, of_path, video_trac
(itreable[str]) list of .csv files
"""
if video_tracking:
suffix = '_OF_video_features'
suffix = '_openface_lmk'
else:
suffix = '_OF_features'
suffix = '_openface'
csv_files = []

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@@ -101,7 +101,7 @@ def process_raw_video_dir(args, s_config, r_config):
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')
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.')
@@ -111,10 +111,12 @@ def process_raw_video_dir(args, s_config, r_config):
for vid_file in vid_loc:
try:
fname, file_ext = os.path.splitext(vid_file)
if file_ext == '.mov':
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)
@@ -128,7 +130,7 @@ def process_raw_audio_dir(args, s_config, r_config):
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')
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.')
@@ -138,31 +140,47 @@ def process_raw_audio_dir(args, s_config, r_config):
for audio in audio_loc:
try:
fname, file_ext = os.path.splitext(audio)
if file_ext == '.mp3':
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)
if file_ext == '.mp3':
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 == '.mov':
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]
subprocess.check_output(call)
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):
"""
@@ -201,13 +219,16 @@ if __name__=="__main__":
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:

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@@ -38,7 +38,7 @@ derive_feature:
FAC_EXP: ['hap_exp', 'sad_exp', 'sur_exp', 'fea_exp', 'ang_exp', 'dis_exp', 'con_exp', 'happ_occ', 'sad_occ',
'sur_occ', 'fea_occ', 'ang_occ', 'dis_occ', 'con_occ', 'pos_exp', 'neg_exp', 'com_exp', 'hap_exp_full',
'sad_exp_full', 'sur_exp_full','fea_exp_full', 'ang_exp_full', 'dis_exp_full', 'con_exp_full', 'pos_exp_full',
'neg_exp_full', 'com_exp_full']
'neg_exp_full', 'com_exp_full', 'com_lower_exp','com_upper_exp', 'pai_exp', 'pai_exp_full']
FAC_LMK: ['fac_LMK00disp', 'fac_LMK01disp', 'fac_LMK02disp', 'fac_LMK03disp', 'fac_LMK04disp',
'fac_LMK05disp', 'fac_LMK06disp', 'fac_LMK07disp', 'fac_LMK08disp', 'fac_LMK09disp', 'fac_LMK10disp',
'fac_LMK11disp', 'fac_LMK12disp', 'fac_LMK13disp', 'fac_LMK14disp', 'fac_LMK15disp', 'fac_LMK16disp',
@@ -134,17 +134,20 @@ derive_feature:
ang_exp: ['mean', 'std']
dis_exp: ['mean', 'std']
con_exp: ['mean', 'std']
happ_occ: ['mean', 'std', 'pct']
sad_occ: ['mean', 'std', 'pct']
sur_occ: ['mean', 'std', 'pct']
fea_occ: ['mean', 'std', 'pct']
ang_occ: ['mean', 'std', 'pct']
dis_occ: ['mean', 'std', 'pct']
con_occ: ['mean', 'std', 'pct']
happ_occ: ['pct']
sad_occ: ['pct']
sur_occ: ['pct']
fea_occ: ['pct']
ang_occ: ['pct']
dis_occ: ['pct']
con_occ: ['pct']
pos_exp: ['mean', 'std', 'pct']
neg_exp: ['mean', 'std', 'pct']
neu_exp: ['mean', 'std', 'pct']
com_exp: ['mean', 'std', 'pct']
com_lower_exp: ['mean','std','pct']
com_upper_exp: ['mean','std','pct']
pai_exp: ['mean','std','pct']
hap_exp_full: ['mean', 'std']
sad_exp_full: ['mean', 'std']
sur_exp_full: ['mean', 'std']
@@ -156,6 +159,9 @@ derive_feature:
neg_exp_full: ['mean', 'std']
neu_exp_full: ['mean', 'std']
com_exp_full: ['mean', 'std']
com_lower_exp_full: ['mean','std']
com_upper_exp_full: ['mean', 'std']
pai_exp_full: ['mean','std']
#Facial Landmarks
fac_LMK00disp: ['mean', 'std']

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@@ -26,6 +26,9 @@ raw_feature:
neu_exp: neu_exp
cai_exp: cai_exp
com_exp: fac_comintsoft
com_lower_exp: fac_comlowintsoft
com_upper_exp: fac_comuppintsoft
pai_exp: fac_paiintsoft
hap_exp_full: fac_hapinthard
sad_exp_full: fac_sadinthard
sur_exp_full: fac_surinthard
@@ -38,6 +41,9 @@ raw_feature:
neu_exp_full: neu_exp_full
cai_exp_full: cai_exp_full
com_exp_full: fac_cominthard
com_lower_exp_full: fac_comlowinthard
com_upper_exp_full: fac_comuppinthard
pai_exp_full: fac_paiinthard
#Facial asymmetry
fac_AsymMaskMouth: fac_asymmaskmouth

View File

@@ -1,5 +1,7 @@
cdx_face_config:
ACTION_UNITS: [[6, 12],[1, 4, 15],[1, 2, 5, 26],[1, 2, 4, 5, 7, 20, 26],[4, 5, 7, 23],[9, 15],[12, 14]]
LOWER_ACTION_UNITS: [[12], [15], [26], [20, 26], [23], [15], [12, 14]]
UPPER_ACTION_UNITS: [[6], [1, 4], [1, 2, 5], [1, 2, 4, 5, 7], [4, 5, 7], [9]]
NEG_ACTION_UNITS: [[1, 4, 15], [1, 2, 4, 5, 7, 20, 26], [4, 5, 7, 23], [9, 15], [12, 14]]
POS_ACTION_UNITS: [[6, 12]]
NET_ACTION_UNITS: [[1, 2, 5, 26]]
@@ -10,6 +12,7 @@ cdx_face_config:
anger: [[4, 5, 7, 23]]
disgust: [[9, 15]]
contempt: [[12, 14]]
pain: [[4, 6, 7, 9, 10, 12, 20, 26]]
CAI: [[6, 12],[1, 4, 15],[2, 5, 26],[7, 20, 26],[23],[9],[12, 14]]
SELECTED_FEATURES: AU,POSE
face_expr_dir: /video/face_expressivity