foldername update

dbm_lib/dbm_features/raw_features/audio/formant_freq.py

@@ -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'
 

dbm_lib/dbm_features/raw_features/audio/gne.py

@@ -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'
+gne_dir = 'acoustic/glottal_noise'
-ff_dir =  'audio/pitch'
+ff_dir =  'acoustic/pitch'
 csv_ext = '_gne.csv'
 
 def gne_ratio(sound):

dbm_lib/dbm_features/raw_features/audio/hnr.py

@@ -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'
 

dbm_lib/dbm_features/raw_features/audio/intensity.py

@@ -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'
 

dbm_lib/dbm_features/raw_features/audio/jitter.py

@@ -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'
+jitter_dir = 'acoustic/jitter'
-ff_dir =  'audio/pitch'
+ff_dir =  'acoustic/pitch'
 csv_ext = '_jitter.csv'
 
 def audio_jitter(sound):

dbm_lib/dbm_features/raw_features/audio/mfcc.py

@@ -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'
 

dbm_lib/dbm_features/raw_features/audio/pause_segment.py

@@ -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):

dbm_lib/dbm_features/raw_features/audio/pitch_freq.py

@@ -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'
 

dbm_lib/dbm_features/raw_features/audio/shimmer.py

@@ -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'
+shimmer_dir = 'acoustic/shimmer'
-ff_dir = 'audio/pitch'
+ff_dir = 'acoustic/pitch'
 csv_ext = '_shimmer.csv'
 
 def audio_shimmer(sound):

dbm_lib/dbm_features/raw_features/audio/voice_frame_score.py

@@ -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'
 

dbm_lib/dbm_features/raw_features/movement/eye_gaze.py

@@ -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:
 

dbm_lib/dbm_features/raw_features/movement/facial_tremor.py

@@ -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]

dbm_lib/dbm_features/raw_features/movement/head_motion.py

@@ -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:

dbm_lib/dbm_features/raw_features/nlp/speech_features.py

@@ -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):
     """

dbm_lib/dbm_features/raw_features/nlp/transcribe.py

@@ -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'
 

dbm_lib/dbm_features/raw_features/util/util.py

@@ -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:

dbm_lib/dbm_features/raw_features/video/face_asymmetry.py

@@ -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]

dbm_lib/dbm_features/raw_features/video/face_au.py

@@ -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)

dbm_lib/dbm_features/raw_features/video/face_emotion_expressivity.py

@@ -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)

dbm_lib/dbm_features/raw_features/video/face_landmark.py

@@ -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)

dbm_lib/dbm_features/raw_features/video/open_face_process.py

@@ -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 = []
     

resources/features/derived_feature.yml

@@ -134,13 +134,13 @@ derive_feature:
     ang_exp: ['mean', 'std']
     dis_exp: ['mean', 'std']
     con_exp: ['mean', 'std']
-    happ_occ: ['mean', 'std', 'pct']
+    happ_occ: ['pct']
-    sad_occ: ['mean', 'std', 'pct']
+    sad_occ: ['pct']
-    sur_occ: ['mean', 'std', 'pct']
+    sur_occ: ['pct']
-    fea_occ: ['mean', 'std', 'pct']
+    fea_occ: ['pct']
-    ang_occ: ['mean', 'std', 'pct']
+    ang_occ: ['pct']
-    dis_occ: ['mean', 'std', 'pct']
+    dis_occ: ['pct']
-    con_occ: ['mean', 'std', 'pct']
+    con_occ: ['pct']
     pos_exp: ['mean', 'std', 'pct']
     neg_exp: ['mean', 'std', 'pct']
     neu_exp: ['mean', 'std', 'pct']