add private module to create model object for library api

opendbm/api_lib/facial_activity/_landmark.py

@@ -0,0 +1,24 @@
+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
+        )