5b02cff5 both

selfdrive/modeld/models/dmonitoring_model.current

@@ -1,2 +1,2 @@
-b16cb60c-9eb5-4538-9375-24c2d1349f7f
-796077546d8bf72db947441973b94a39ce895dbc
+5b02cff5-2b29-431d-b186-372e9c6fd0c7
+bf33cc569076984626ac7e027f927aa593261fa7

selfdrive/modeld/models/dmonitoring_model.onnx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2ba42e1dc4ea800dc0ad75be0c8a8181aae334acf9889a5fd9b9e5059c8020e8
+oid sha256:aca1dd411b5f488bea605dc360656e631fc4301968a589ea072e2220c8092600
 size 9157561

selfdrive/modeld/models/dmonitoring_model_q.dlc

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:80702bf5fc2f2d2c748f6e12738827abfaafd286243699b9c0d3eca05897dfff
-size 2636901
+oid sha256:d146b1d1fd9d40d57d058e51d285f83676866e26d9e5aff9fa27623ce343b58a
+size 2636941

selfdrive/monitoring/driver_monitor.py

@@ -77,7 +77,7 @@ class DistractedType:
   DISTRACTED_BLINK = 2
   DISTRACTED_E2E = 4
 
-def face_orientation_from_net(angles_desc, pos_desc, rpy_calib, is_rhd):
+def face_orientation_from_net(angles_desc, pos_desc, rpy_calib):
   # the output of these angles are in device frame
   # so from driver's perspective, pitch is up and yaw is right
 
@@ -92,7 +92,7 @@ def face_orientation_from_net(angles_desc, pos_desc, rpy_calib, is_rhd):
 
   # no calib for roll
   pitch -= rpy_calib[1]
-  yaw -= rpy_calib[2] * (1 - 2 * int(is_rhd))
+  yaw -= rpy_calib[2]
   return roll_net, pitch, yaw
 
 class DriverPose():
@@ -232,14 +232,14 @@ class DriverStatus():
     #   self.wheel_on_right = self.wheelpos_learner.filtered_stat.M > self.settings._WHEELPOS_THRESHOLD
     # else:
     #   self.wheel_on_right = rhd_pred > self.settings._WHEELPOS_THRESHOLD
-    driver_data = driver_state.driverDataLH
+    driver_data = driver_state.driverDataRH if self.wheel_on_right else driver_state.driverDataLH
     if not all(len(x) > 0 for x in (driver_data.faceOrientation, driver_data.facePosition,
                                     driver_data.faceOrientationStd, driver_data.facePositionStd,
                                     driver_data.readyProb, driver_data.notReadyProb)):
       return
 
     self.face_detected = driver_data.faceProb > self.settings._FACE_THRESHOLD
-    self.pose.roll, self.pose.pitch, self.pose.yaw = face_orientation_from_net(driver_data.faceOrientation, driver_data.facePosition, cal_rpy, self.wheel_on_right)
+    self.pose.roll, self.pose.pitch, self.pose.yaw = face_orientation_from_net(driver_data.faceOrientation, driver_data.facePosition, cal_rpy)
     self.pose.pitch_std = driver_data.faceOrientationStd[0]
     self.pose.yaw_std = driver_data.faceOrientationStd[1]
     model_std_max = max(self.pose.pitch_std, self.pose.yaw_std)