add private module to create model object for library api

opendbm/api_lib/facial_activity/_expressivity.py

@@ -0,0 +1,89 @@
+import tempfile
+
+from opendbm.api_lib.model import VideoModel
+from opendbm.dbm_lib.dbm_features.raw_features.video import face_emotion_expressivity
+
+
+class Expressivity(VideoModel):
+    def __init__(self):
+        super().__init__()
+        self._params = [
+            " AU01_r",
+            " AU02_r",
+            " AU04_r",
+            " AU05_r",
+            " AU06_r",
+            " AU07_r",
+            " AU09_r",
+            " AU10_r",
+            " AU12_r",
+            " AU14_r",
+            " AU15_r",
+            " AU17_r",
+            " AU20_r",
+            " AU25_r",
+            " AU26_r",
+            " AU45_r",
+            " AU01_c",
+            " AU02_c",
+            " AU04_c",
+            " AU05_c",
+            " AU06_c",
+            " AU07_c",
+            " AU10_c",
+            " AU12_c",
+            " AU14_c",
+            " AU15_c",
+            " AU17_c",
+            " AU20_c",
+            " AU23_c",
+            " AU25_c",
+            " AU26_c",
+            " AU28_c",
+            " AU45_c",
+            " AU09_c",
+            " AU23_r",
+            "s_confidence",
+            "fac_hapintsoft",
+            "fac_sadintsoft",
+            "fac_surintsoft",
+            "fac_feaintsoft",
+            "fac_angintsoft",
+            "fac_disintsoft",
+            "fac_conintsoft",
+            "fac_paiintsoft",
+            "fac_negintsoft",
+            "fac_posintsoft",
+            "neu_exp",
+            "fac_comlowintsoft",
+            "fac_comuppintsoft",
+            "cai_exp",
+            "fac_comintsoft",
+            "fac_happres",
+            "fac_sadpres",
+            "fac_surpres",
+            "fac_feapres",
+            "fac_angpres",
+            "fac_dispres",
+            "fac_conpres",
+            "fac_hapinthard",
+            "fac_sadinthard",
+            "fac_surinthard",
+            "fac_feainthard",
+            "fac_anginthard",
+            "fac_disinthard",
+            "fac_coninthard",
+            "fac_paiinthard",
+            "fac_neginthard",
+            "fac_posinthard",
+            "neu_exp_full",
+            "cai_exp_full",
+            "fac_comlowinthard",
+            "fac_comuppinthard",
+            "fac_cominthard",
+        ]
+
+    def _fit_transform(self, path):
+        return face_emotion_expressivity.run_face_expressivity(
+            path, f"{tempfile.gettempdir()}/", self.r_config, save=False
+        )