from grid.model.navigation.objectinspection import ObjectInspect
car = AirGenCar()

# We will be capturing an image from the AirGen simulator 
# and run model inference on it.

img =  car.getImage("front_center", "rgb").data

model = ObjectInspect(use_local = True)
result = model.run(rgbimage=img)
print(result.shape)

The ObjectInspect class provides core functionality for this module.

This code is licensed under the Apache 2.0 License.

​
class ObjectInspect()
​
use_local
boolean
default:true

If True, inference call is run on the local VM, else offloaded onto GRID-Cortex. Defaults to True.

​
def run()
​
rgbimage
np.ndarray
required

None

​
Returns
np.ndarray

The predicted output.

from grid.model.navigation.objectinspection import ObjectInspect
car = AirGenCar()

# We will be capturing an image from the AirGen simulator 
# and run model inference on it.

img =  car.getImage("front_center", "rgb").data

model = ObjectInspect(use_local = True)
result = model.run(rgbimage=img)
print(result.shape)

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