KaneAI - World’s First E2E Software Testing Agent.Book a Demo Join TestMu Conference

How to use enable_devices method in lisa

Best Python code snippet using lisa_python

tracking.py

Source:tracking.py

...8from dedect_markers import find_markers_all_cams, cluster_DBSCAN, cluster_KMEANS, calculate_center_3D9from visualise import visualise_marker101112def enable_devices():1314	# Constants for different camerastreams15	resolution_depth_width = 1280  # pixels16	resolution_depth_height = 720  # pixels17	depth_frame_rate = 30  # fps1819	resolution_color_width = 1280  # pixels20	resolution_color_height = 720  # pixels21	color_frame_rate = 30  # fps2223	try:24		# enable streams25		rs_config = rs.config()26		rs_config.enable_stream(rs.stream.depth, resolution_depth_width, resolution_depth_height, rs.format.z16,27								depth_frame_rate)28		rs_config.enable_stream(rs.stream.infrared, 1, resolution_depth_width, resolution_depth_height,29								rs.format.y8, depth_frame_rate)30		rs_config.enable_stream(rs.stream.color, resolution_color_width, resolution_color_height, rs.format.bgr8,31								color_frame_rate)3233		# Use the device manager class to enable the devices and get the frames34		device_manager = DeviceManager(rs.context(), rs_config)35		device_manager.enable_all_devices()36		device_manager.enable_emitter(True)3738		assert (len(device_manager._available_devices) > 0)3940		return device_manager4142	finally:43		device_manager.disable_streams()44454647def get_intrinsics(device_manager):48	frames = device_manager.poll_frames()49	device_intrinsics = device_manager.get_device_intrinsics(frames)50	return device_intrinsics51525354def track_markers(device_manager, device_transformation):55	#Speichern der Bewegungsvectoren des Markerpunktes (in Meter)56	movement_vectors = np.zeros(3)57	center_world = np.zeros(3)58	center_image = np.zeros(3)59	#pause zwischen Trackingframes 30 = 1sec60	frames_between_tracking = 561	#Richtige Konfig zum erkennen der Marker laden62	device_manager.load_settings_json('presets/preset_settings_marker_detection.json')63	devices_intrinsics = get_intrinsics(device_manager)6465	#Extrensics wird fÃ¼r darstellung benutzt66	frame = device_manager.poll_frames()67	devices_extrinsics = device_manager.get_depth_to_color_extrinsics(frame)6869	# Tracking i mal durchfÃ¼hren ; alternativ while True70	#for i in range(0,20):71	while True:72		frames = device_manager.poll_frames()73		markers_found, points_image, points_world  = find_markers_all_cams(frames, devices_intrinsics, device_transformation)74		#marker wurde nicht gefunden75		if not (markers_found):76			print("Marker nicht identifiziert")77			print("erneuter Versuch")78			#i = i-179		else:80			oldcenter = center_world81			center_world = calculate_center_3D(points_world)82			center_image = calculate_center_3D(points_image)83			movement_world = center_world - oldcenter84			movement_vectors = np.vstack((movement_vectors, movement_world))85			print("Markermittelpunkt:")86			print(center_world)8788			visualise_marker(frames, points_image, center_image, devices_extrinsics)89		#"sleeping"6990		for f in range(frames_between_tracking):91			device_manager.poll_frames()9293	return movement_vectors94959697if __name__ == "__main__":9899	device_manager = enable_devices()100101	device_transformation = calibrate_all_devices(device_manager)102	print("Kalibrierung abgeschlossen")103	#save_calibration(device_transformation)104105	#device_transformation = load_calibration()106	#print("Kalibrierung aus Datei geladen")107108	#track_markers(device_manager,device_transformation)109
...

waffrender.py

Source:waffrender.py

...18    waffcycles.preferences.get_devices()19    print(device['name'])20    device['use'] = 121    print(' - Enabled!')22def enable_devices(try_nvidia, device_type):23    waffcycles = bpy.context.preferences.addons['cycles']24    waffcycles.preferences.get_devices()25    # find and maybe filter devices for optix/cuda26    nvidia_dev_found = False27    if try_nvidia:28        for device in waffcycles.preferences.get_devices_for_type(device_type):29            if 'NVIDIA' in device['name']:30                enable_device(device)31                nvidia_dev_found = True32            elif 'Tesla' in device['name']:33                enable_device(device)34                nvidia_dev_found = True35    36    if nvidia_dev_found:37        bpy.context.scene.cycles.device = "GPU"38    # no nvidia devices found39    if not try_nvidia or not nvidia_dev_found:40        print("")41        print("No nvidia devices found or requested, enable everything else.")42        for device in waffcycles.preferences.devices:43            device['use'] = 144            print(device['name'], " - Enabled!" if device['use'] else " - Disabled!" )45def list_cameras():46    return [cam for cam in bpy.data.objects if cam.type == 'CAMERA']47def set_cam(new_camera):48    bpy.context.scene.camera = bpy.data.objects[new_camera]49def main():50    #do things51    noargs = False52    53    argv = sys.argv54    try:55        argv = argv[argv.index('--') + 1:]56    except (ValueError):57        noargs = True58    parser = argparse.ArgumentParser(description="Set options on waffrender")59    parser.add_argument('-c', '--cam', action="store", type=str, default="", dest='cam_new_name')60    parser.add_argument('-n', '--no-accel', action='store_true', default=False, dest='no_accel')61    parser.add_argument('-l', '--list', action='store_true', default=False, dest='list_accel')62    args = parser.parse_args(argv)63    if args.list_accel:64        for dev in list_devices():65            print( dev['name'] )66    67    #if we want accel:68    if not args.no_accel:69       optix_on = set_comp_device('OPTIX')70       #optix_on = False71       if optix_on:72            print("Optix Enabled!")73       if not optix_on:74           cuda_on = set_comp_device('CUDA')75           if cuda_on:76               print("CUDA Enabled!")77       # if neither, we got no special devices.78       if optix_on:79           enable_devices(True, "OPTIX")80       elif cuda_on:81           enable_devices(True, "CUDA")82       else:83           enable_devices(False)84    else:85        print("No acceleration requested, using default devices")86    # if set camera87    cam_name=args.cam_new_name88    if cam_name != "":89        blend_cams = list_cameras()90        if cam_name in [cam.name for cam in blend_cams]:91            print("New camera %s found and set!" % cam_name)92            set_cam(cam_name)93        else:94            print("Camera %s not found, using default cam from file" % cam_name)95if __name__ == '__main__':...

utils.py

Source:utils.py

1from math import radians2from config import INITIAL_VELOCITY, DISTANCE_THRESHOLD, MAX_ROTATION_SPEED3def enable_devices(devices, timestep):4    for device in devices:5        device.enable(timestep)6def initialize_devices(devices, motors, timestep):7    enable_devices(devices, timestep)8    # Disable motor PID control mode.9    for motor in motors:10        motor.setPosition(float('inf'))11        motor.setVelocity(INITIAL_VELOCITY)12def get_distance_sensors(robot):13    return {f"ps{i}": robot.getDevice(f"ps{i}") for i in range(8)}14def get_motors(robot):15    return (16        robot.getDevice("left wheel motor"),17        robot.getDevice("right wheel motor")18    )19def get_sensors_values(sensors):20    return {21        name: device.getValue()...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.