MoonDream

The MoonDream class provides a wrapper for the MoonDream v3 model, which answers questions about visual media (images).

boolean

default:"False"

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

np.ndarray

required

The input RGB image of shape

(M,N,3)

str

required

The question to answer about the media.

str

The response to the prompt.

from grid.model.perception.vlm.moondream import MoonDream
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 = MoonDream(use_local = False)
result = model.run(rgbimage=img, prompt=<prompt>)
print(result)

License
Source

This code is licensed under the Apache 2.0 License.

⌘I

from grid.model.perception.vlm.moondream import MoonDream
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 = MoonDream(use_local = False)
result = model.run(rgbimage=img, prompt=<prompt>)
print(result)

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