trifinger_object_tracking.py_tricamera_types module¶
- class trifinger_object_tracking.py_tricamera_types.BaseData¶
Bases:
pybind11_object
- class trifinger_object_tracking.py_tricamera_types.CubeVisualizer¶
Bases:
pybind11_object
- draw_circle(self: trifinger_object_tracking.py_tricamera_types.CubeVisualizer, images: List[numpy.ndarray[3]], object_pose: trifinger_object_tracking.py_object_tracker.ObjectPose, fill: bool = True, opacity: float = 0.5, scale: float = 1.0) List[numpy.ndarray[3]] ¶
- draw_cube(self: trifinger_object_tracking.py_tricamera_types.CubeVisualizer, images: List[numpy.ndarray[3]], object_pose: trifinger_object_tracking.py_object_tracker.ObjectPose, fill: bool = True, opacity: float = 0.5) List[numpy.ndarray[3]] ¶
- class trifinger_object_tracking.py_tricamera_types.Driver¶
Bases:
pybind11_object
- class trifinger_object_tracking.py_tricamera_types.Frontend¶
Bases:
pybind11_object
- get_current_timeindex()¶
- get_latest_observation()¶
- get_observation()¶
- get_sensor_info()¶
- get_timestamp_ms()¶
- class trifinger_object_tracking.py_tricamera_types.LogReader(filename: str)¶
Bases:
pybind11_object
See
read_file()
- property data¶
List of camera observations from the log file.
- read_file(filename: str)¶
Read data from the specified camera log file.
The data is stored in
data
andtimestamps
.- Parameters:
filename (str) – Path to the camera log file.
- property timestamps¶
List of timestamps of the camera observations.
- class trifinger_object_tracking.py_tricamera_types.Logger¶
Bases:
pybind11_object
- reset()¶
- start()¶
- stop()¶
- stop_and_save()¶
- class trifinger_object_tracking.py_tricamera_types.None¶
Bases:
pybind11_object
- class trifinger_object_tracking.py_tricamera_types.PyBulletTriCameraObjectTrackerDriver¶
Bases:
Driver
- class trifinger_object_tracking.py_tricamera_types.TriCameraObjectObservation¶
Bases:
TriCameraObservation
Observation from the three cameras, including the estimated object pose provided by the integrated object tracker.
- property cameras¶
List of observations from cameras ‘camera60’, ‘camera180’ and ‘camera300’ (in this order)
- Type:
List[CameraObservation]
- property filtered_object_pose¶
Filtered estimated object pose.
- Type:
- property object_pose¶
Estimated object pose.
- Type:
- class trifinger_object_tracking.py_tricamera_types.TriCameraObjectTrackerDriver¶
Bases:
Driver
- get_debug_image(self: trifinger_object_tracking.py_tricamera_types.TriCameraObjectTrackerDriver, fill_faces: bool = False) numpy.ndarray ¶
Fetch an observation from the cameras and create a debug image.
- get_observation(self: trifinger_object_tracking.py_tricamera_types.TriCameraObjectTrackerDriver) trifinger_object_tracking.py_tricamera_types.TriCameraObjectObservation ¶
Get the latest observation from the three cameras.