class_docstr: Abstract base class for Camera models.
docstr: Initializes the Camera instance with given dimensions and device.
  
  Parameters:
      width: int - Width of the camera frame.
      height: int - Height of the camera frame.
      device: torch.device - The device where tensor computations will be performed.
docstr_tok: ["Initializes","the","Camera","instance","with","given","dimensions","and","device",".","Parameters",":","width",":","int","-","Width","of","the","camera","frame",".","height",":","int","-","Height","of","the","camera","frame",".","device",":","torch.device","-","The","device","where","tensor","computations","will","be","performed","."]
code: def __init__(
      self, width: int, height: int, device: torch.device = "cuda"
  ) -> None:
      """
      Initializes the Camera instance with given dimensions and device.
  
      Parameters:
          width: int - Width of the camera frame.
          height: int - Height of the camera frame.
          device: torch.device - The device where tensor computations will be performed.
      """
      self.width = width
      self.height = height
      self.device = device
  
imports: from abc import ABC, abstractmethod
  from typing import List
  import numpy
  import torch
label_desc: Use image node_id 1 to create a new Camera object from inherited base classes: ABC with example: obj = Camera(width, height, device)