Hi,
I have a custom object detection deep learning model and a custom pose detection deep learning model. How can I implement the models in Isaac Sim? All I want is the camera feed from the robot and input that into the custom models. There is a lot of documentation about implementing deep reinforcement learning models but not other deep learning models. What should I do?
Hello,
This should be posted in the Omniverse section. I will move it over for you.
Would the Camera sensor help to feed its data to your model?
Here is an example snippet on accessing its data:
from omni.isaac.sensor import Camera
import omni.isaac.core.utils.numpy.rotations as rot_utils
import numpy as np
camera = Camera(
prim_path="/World/camera",
position=np.array([0.0, 0.0, 25.0]),
frequency=20,
resolution=(256, 256),
orientation=rot_utils.euler_angles_to_quats(np.array([0, 90, 0]), degrees=True),
)
camera.initialize()
rgba_data = camera.get_rgba()
print(rgba_data)
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