MCPcopy Create free account
hub / github.com/deepdrive/deepdrive / act

Method act

tensorflow_agent/agent.py:62–95  ·  view source on GitHub ↗
(self, obz, reward, done)

Source from the content-addressed store, hash-verified

60 self.sess = None
61
62 def act(self, obz, reward, done):
63 if obz is not None:
64 log.debug('steering %r', obz['steering'])
65 log.debug('throttle %r', obz['throttle'])
66 obz = self.preprocess_obz(obz)
67
68 if self.should_record_recovery_from_random_actions:
69 action = self.toggle_random_action()
70 self.action_count += 1
71 elif self.net is not None:
72 if obz is None or not obz['cameras']:
73 y = None
74 else:
75 image = obz['cameras'][0]['image']
76 y = self.get_net_out(image)
77 action = self.get_next_action(obz, y)
78 else:
79 action = Action(has_control=(not self.path_follower_mode))
80
81 self.previous_action = action
82 self.step += 1
83
84 if obz and obz['is_game_driving'] == 1 and self.should_record:
85 self.obz_recording.append(obz)
86 # utils.save_camera(obz['cameras'][0]['image'], obz['cameras'][0]['depth'],
87 # os.path.join(self.sess_dir, str(self.total_obz).zfill(10)))
88 self.recorded_obz_count += 1
89 else:
90 log.debug('Not recording frame')
91
92 self.maybe_save()
93
94 action = action.as_gym()
95 return action
96
97 def get_next_action(self, obz, y):
98 log.debug('getting next action')

Callers 1

runFunction · 0.95

Calls 7

preprocess_obzMethod · 0.95
toggle_random_actionMethod · 0.95
get_net_outMethod · 0.95
get_next_actionMethod · 0.95
maybe_saveMethod · 0.95
as_gymMethod · 0.95
ActionClass · 0.90

Tested by

no test coverage detected