add private module to create model object for library api

opendbm/api_lib/facial_activity/__init__.py

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+from opendbm.api_lib.facial_activity.api import FacialActivity

opendbm/api_lib/facial_activity/_action_unit.py

@@ -0,0 +1,49 @@
+import tempfile
+
+from opendbm.api_lib.model import VideoModel
+from opendbm.dbm_lib.dbm_features.raw_features.video.face_au import run_face_au
+
+
+class ActionUnit(VideoModel):
+    def __init__(self):
+        super().__init__()
+        self._params = [
+            "fac_AU01int",
+            "fac_AU02int",
+            "fac_AU04int",
+            "fac_AU05int",
+            "fac_AU06int",
+            "fac_AU07int",
+            "fac_AU09int",
+            "fac_AU10int",
+            "fac_AU12int",
+            "fac_AU14int",
+            "fac_AU15int",
+            "fac_AU17int",
+            "fac_AU20int",
+            "fac_AU23int",
+            "fac_AU25int",
+            "fac_AU26int",
+            "fac_AU45int",
+            "fac_AU01pres",
+            "fac_AU02pres",
+            "fac_AU04pres",
+            "fac_AU05pres",
+            "fac_AU06pres",
+            "fac_AU07pres",
+            "fac_AU09pres",
+            "fac_AU10pres",
+            "fac_AU12pres",
+            "fac_AU14pres",
+            "fac_AU15pres",
+            "fac_AU17pres",
+            "fac_AU20pres",
+            "fac_AU23pres",
+            "fac_AU25pres",
+            "fac_AU26pres",
+            "fac_AU28pres",
+            "fac_AU45pres",
+        ]
+
+    def _fit_transform(self, path):
+        return run_face_au(path, f"{tempfile.gettempdir()}/", self.r_config, save=False)

opendbm/api_lib/facial_activity/_asymmetry.py

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+import tempfile
+
+from opendbm.api_lib.model import VideoModel
+from opendbm.dbm_lib import run_face_asymmetry
+
+
+class Asymmetry(VideoModel):
+    def __init__(self):
+        super().__init__()
+        self._params = [
+            "fac_asymmaskmouth",
+            "fac_asymmaskeye",
+            "fac_asymmaskeyebrow",
+            "fac_asymmaskcom",
+        ]
+
+    def _fit_transform(self, path):
+        return run_face_asymmetry(
+            path, f"{tempfile.gettempdir()}/", self.r_config, save=False
+        )

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
+        )

opendbm/api_lib/facial_activity/_landmark.py

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+import tempfile
+
+from opendbm.api_lib.model import VideoModel
+from opendbm.dbm_lib import run_face_landmark
+
+
+def r_num_fmt(fmt, rnum):
+    return list(map(lambda x: fmt.format(i="%02d" % x), rnum))
+
+
+lcols = []
+for vr in ["r", "c", "X", "Y", "Z"]:
+    lcols += r_num_fmt(f"fac_LMK{{i}}{vr}", range(68))
+
+
+class Landmark(VideoModel):
+    def __init__(self):
+        super().__init__()
+        self._params = lcols
+
+    def _fit_transform(self, path):
+        return run_face_landmark(
+            path, f"{tempfile.gettempdir()}/", self.r_config, save=False
+        )