Simplify code wording
This commit is contained in:
@@ -115,7 +115,7 @@ class Simulation:
|
||||
self.poses[:,2] += rot2
|
||||
self.poses[:,2] = np.array([float(theta % 360) for theta in self.poses[:,2]])
|
||||
|
||||
def apply_randomness_to_motion(self, rot1, trans, rot2):
|
||||
def randomise_motion(self, rot1, trans, rot2):
|
||||
rot1_scale = self.alpha_rot * abs(rot1) + self.alpha_rot_trans * abs(trans)
|
||||
trans_scale = self.alpha_trans * abs(trans) + self.alpha_trans_rot * (abs(rot1) + abs(rot2))
|
||||
rot2_scale = self.alpha_rot * abs(rot2) + self.alpha_rot_trans * abs(trans)
|
||||
@@ -135,7 +135,7 @@ class Simulation:
|
||||
self.last_encoder_left = new_encoder_left
|
||||
self.last_encoder_right = new_encoder_right
|
||||
|
||||
rot1_model, trans_model, rot2_model = self.apply_randomness_to_motion(rot1, trans, rot2)
|
||||
rot1_model, trans_model, rot2_model = self.randomise_motion(rot1, trans, rot2)
|
||||
self.apply_motion_to_poses(rot1_model, trans_model, rot2_model)
|
||||
|
||||
print(
|
||||
|
||||
@@ -133,7 +133,7 @@ class Simulation:
|
||||
self.poses[:,2] += rot2
|
||||
self.poses[:,2] = np.array([float(theta % 360) for theta in self.poses[:,2]])
|
||||
|
||||
def apply_randomness_to_motion(self, rot1, trans, rot2):
|
||||
def randomise_motion(self, rot1, trans, rot2):
|
||||
rot1_scale = self.alpha_rot * abs(rot1) + self.alpha_rot_trans * abs(trans)
|
||||
trans_scale = self.alpha_trans * abs(trans) + self.alpha_trans_rot * (abs(rot1) + abs(rot2))
|
||||
rot2_scale = self.alpha_rot * abs(rot2) + self.alpha_rot_trans * abs(trans)
|
||||
@@ -153,7 +153,7 @@ class Simulation:
|
||||
self.last_encoder_left = new_encoder_left
|
||||
self.last_encoder_right = new_encoder_right
|
||||
|
||||
rot1_model, trans_model, rot2_model = self.apply_randomness_to_motion(rot1, trans, rot2)
|
||||
rot1_model, trans_model, rot2_model = self.randomise_motion(rot1, trans, rot2)
|
||||
self.apply_motion_to_poses(rot1_model, trans_model, rot2_model)
|
||||
|
||||
print(
|
||||
|
||||
@@ -133,7 +133,7 @@ class Simulation:
|
||||
self.poses[:,2] += rot2
|
||||
self.poses[:,2] = np.array([float(theta % 360) for theta in self.poses[:,2]])
|
||||
|
||||
def apply_randomness_to_motion(self, rot1, trans, rot2):
|
||||
def randomise_motion(self, rot1, trans, rot2):
|
||||
rot1_scale = self.alpha_rot * abs(rot1) + self.alpha_rot_trans * abs(trans)
|
||||
trans_scale = self.alpha_trans * abs(trans) + self.alpha_trans_rot * (abs(rot1) + abs(rot2))
|
||||
rot2_scale = self.alpha_rot * abs(rot2) + self.alpha_rot_trans * abs(trans)
|
||||
@@ -153,7 +153,7 @@ class Simulation:
|
||||
self.last_encoder_left = new_encoder_left
|
||||
self.last_encoder_right = new_encoder_right
|
||||
|
||||
rot1_model, trans_model, rot2_model = self.apply_randomness_to_motion(rot1, trans, rot2)
|
||||
rot1_model, trans_model, rot2_model = self.randomise_motion(rot1, trans, rot2)
|
||||
self.apply_motion_to_poses(rot1_model, trans_model, rot2_model)
|
||||
|
||||
print(
|
||||
|
||||
Reference in New Issue
Block a user