from grid.model.navigation.visualservoing import VisualServoingcar = AirGenCar()# We will be capturing an image from the AirGen simulator # and run model inference on it.img = car.getImage("front_center","rgb").datamodel = VisualServoing(use_local =True)delta_yaw, velocity = model.run((100,100),{"width":640,"height":480,"fov":90,"camera_orientation_euler_pry":(0,0,0),},)print(f"delta_yaw: {delta_yaw}, velocity: {velocity}")
The VisualServoing class provides core functionality for this module.
This code is licensed under the Apache 2.0 License.
This code is licensed under the Apache 2.0 License.
from grid.model.navigation.visualservoing import VisualServoingcar = AirGenCar()# We will be capturing an image from the AirGen simulator # and run model inference on it.img = car.getImage("front_center","rgb").datamodel = VisualServoing(use_local =True)delta_yaw, velocity = model.run((100,100),{"width":640,"height":480,"fov":90,"camera_orientation_euler_pry":(0,0,0),},)print(f"delta_yaw: {delta_yaw}, velocity: {velocity}")
from grid.model.navigation.visualservoing import VisualServoingcar = AirGenCar()# We will be capturing an image from the AirGen simulator # and run model inference on it.img = car.getImage("front_center","rgb").datamodel = VisualServoing(use_local =True)delta_yaw, velocity = model.run((100,100),{"width":640,"height":480,"fov":90,"camera_orientation_euler_pry":(0,0,0),},)print(f"delta_yaw: {delta_yaw}, velocity: {velocity}")
