Source code for sym.ops.linear_camera_cal.camera_ops

# -----------------------------------------------------------------------------
# This file was autogenerated by symforce from template:
#     cam_package/ops/CLASS/camera_ops.py.jinja
# Do NOT modify by hand.
# -----------------------------------------------------------------------------

# ruff: noqa: PLR0915, F401, PLW0211, PLR0914

import math
import typing as T

import numpy

import sym


[docs]class CameraOps(object): """ Python CameraOps implementation for :py:class:`symforce.cam.linear_camera_cal.LinearCameraCal`. """
[docs] @staticmethod def focal_length(self): # type: (sym.LinearCameraCal) -> numpy.ndarray """ Return the focal length. """ # Total ops: 0 # Input arrays _self = self.data # Intermediate terms (0) # Output terms _focal_length = numpy.zeros(2) _focal_length[0] = _self[0] _focal_length[1] = _self[1] return _focal_length
[docs] @staticmethod def principal_point(self): # type: (sym.LinearCameraCal) -> numpy.ndarray """ Return the principal point. """ # Total ops: 0 # Input arrays _self = self.data # Intermediate terms (0) # Output terms _principal_point = numpy.zeros(2) _principal_point[0] = _self[2] _principal_point[1] = _self[3] return _principal_point
[docs] @staticmethod def pixel_from_camera_point(self, point, epsilon): # type: (sym.LinearCameraCal, numpy.ndarray, float) -> T.Tuple[numpy.ndarray, float] """ Project a 3D point in the camera frame into 2D pixel coordinates. Returns: pixel: (x, y) coordinate in pixels if valid is_valid: 1 if the operation is within bounds else 0 """ # Total ops: 10 # Input arrays _self = self.data if point.shape == (3,): point = point.reshape((3, 1)) elif point.shape != (3, 1): raise IndexError( "point is expected to have shape (3, 1) or (3,); instead had shape {}".format( point.shape ) ) # Intermediate terms (1) _tmp0 = 1 / max(epsilon, point[2, 0]) # Output terms _pixel = numpy.zeros(2) _pixel[0] = _self[0] * _tmp0 * point[0, 0] + _self[2] _pixel[1] = _self[1] * _tmp0 * point[1, 0] + _self[3] _is_valid = max(0, (0.0 if point[2, 0] == 0 else math.copysign(1, point[2, 0]))) return _pixel, _is_valid
[docs] @staticmethod def pixel_from_camera_point_with_jacobians(self, point, epsilon): # type: (sym.LinearCameraCal, numpy.ndarray, float) -> T.Tuple[numpy.ndarray, float, numpy.ndarray, numpy.ndarray] """ Project a 3D point in the camera frame into 2D pixel coordinates. Returns: pixel: (x, y) coordinate in pixels if valid is_valid: 1 if the operation is within bounds else 0 pixel_D_cal: Derivative of pixel with respect to intrinsic calibration parameters pixel_D_point: Derivative of pixel with respect to point """ # Total ops: 24 # Input arrays _self = self.data if point.shape == (3,): point = point.reshape((3, 1)) elif point.shape != (3, 1): raise IndexError( "point is expected to have shape (3, 1) or (3,); instead had shape {}".format( point.shape ) ) # Intermediate terms (5) _tmp0 = max(epsilon, point[2, 0]) _tmp1 = 1 / _tmp0 _tmp2 = _tmp1 * point[0, 0] _tmp3 = _tmp1 * point[1, 0] _tmp4 = ( (1.0 / 2.0) * ( (0.0 if -epsilon + point[2, 0] == 0 else math.copysign(1, -epsilon + point[2, 0])) + 1 ) / _tmp0**2 ) # Output terms _pixel = numpy.zeros(2) _pixel[0] = _self[0] * _tmp2 + _self[2] _pixel[1] = _self[1] * _tmp3 + _self[3] _is_valid = max(0, (0.0 if point[2, 0] == 0 else math.copysign(1, point[2, 0]))) _pixel_D_cal = numpy.zeros((2, 4)) _pixel_D_cal[0, 0] = _tmp2 _pixel_D_cal[1, 0] = 0 _pixel_D_cal[0, 1] = 0 _pixel_D_cal[1, 1] = _tmp3 _pixel_D_cal[0, 2] = 1 _pixel_D_cal[1, 2] = 0 _pixel_D_cal[0, 3] = 0 _pixel_D_cal[1, 3] = 1 _pixel_D_point = numpy.zeros((2, 3)) _pixel_D_point[0, 0] = _self[0] * _tmp1 _pixel_D_point[1, 0] = 0 _pixel_D_point[0, 1] = 0 _pixel_D_point[1, 1] = _self[1] * _tmp1 _pixel_D_point[0, 2] = -_self[0] * _tmp4 * point[0, 0] _pixel_D_point[1, 2] = -_self[1] * _tmp4 * point[1, 0] return _pixel, _is_valid, _pixel_D_cal, _pixel_D_point
[docs] @staticmethod def camera_ray_from_pixel(self, pixel, epsilon): # type: (sym.LinearCameraCal, numpy.ndarray, float) -> T.Tuple[numpy.ndarray, float] """ Backproject a 2D pixel coordinate into a 3D ray in the camera frame. Returns: camera_ray: The ray in the camera frame (NOT normalized) is_valid: 1 if the operation is within bounds else 0 """ # Total ops: 4 # Input arrays _self = self.data if pixel.shape == (2,): pixel = pixel.reshape((2, 1)) elif pixel.shape != (2, 1): raise IndexError( "pixel is expected to have shape (2, 1) or (2,); instead had shape {}".format( pixel.shape ) ) # Intermediate terms (0) # Output terms _camera_ray = numpy.zeros(3) _camera_ray[0] = (-_self[2] + pixel[0, 0]) / _self[0] _camera_ray[1] = (-_self[3] + pixel[1, 0]) / _self[1] _camera_ray[2] = 1 _is_valid = 1 return _camera_ray, _is_valid
[docs] @staticmethod def camera_ray_from_pixel_with_jacobians(self, pixel, epsilon): # type: (sym.LinearCameraCal, numpy.ndarray, float) -> T.Tuple[numpy.ndarray, float, numpy.ndarray, numpy.ndarray] """ Backproject a 2D pixel coordinate into a 3D ray in the camera frame. Returns: camera_ray: The ray in the camera frame (NOT normalized) is_valid: 1 if the operation is within bounds else 0 point_D_cal: Derivative of point with respect to intrinsic calibration parameters point_D_pixel: Derivation of point with respect to pixel """ # Total ops: 14 # Input arrays _self = self.data if pixel.shape == (2,): pixel = pixel.reshape((2, 1)) elif pixel.shape != (2, 1): raise IndexError( "pixel is expected to have shape (2, 1) or (2,); instead had shape {}".format( pixel.shape ) ) # Intermediate terms (4) _tmp0 = -_self[2] + pixel[0, 0] _tmp1 = 1 / _self[0] _tmp2 = -_self[3] + pixel[1, 0] _tmp3 = 1 / _self[1] # Output terms _camera_ray = numpy.zeros(3) _camera_ray[0] = _tmp0 * _tmp1 _camera_ray[1] = _tmp2 * _tmp3 _camera_ray[2] = 1 _is_valid = 1 _point_D_cal = numpy.zeros((3, 4)) _point_D_cal[0, 0] = -_tmp0 / _self[0] ** 2 _point_D_cal[1, 0] = 0 _point_D_cal[2, 0] = 0 _point_D_cal[0, 1] = 0 _point_D_cal[1, 1] = -_tmp2 / _self[1] ** 2 _point_D_cal[2, 1] = 0 _point_D_cal[0, 2] = -_tmp1 _point_D_cal[1, 2] = 0 _point_D_cal[2, 2] = 0 _point_D_cal[0, 3] = 0 _point_D_cal[1, 3] = -_tmp3 _point_D_cal[2, 3] = 0 _point_D_pixel = numpy.zeros((3, 2)) _point_D_pixel[0, 0] = _tmp1 _point_D_pixel[1, 0] = 0 _point_D_pixel[2, 0] = 0 _point_D_pixel[0, 1] = 0 _point_D_pixel[1, 1] = _tmp3 _point_D_pixel[2, 1] = 0 return _camera_ray, _is_valid, _point_D_cal, _point_D_pixel