pysdic.Image.evaluate_image_jacobian_dx_at_image_points

Image.evaluate_image_jacobian_dx_at_image_points(image_points)

Evaluate the Jacobian of the image at given image points along the \(x\)-axis (columns).

This is a convenience method that converts image points to pixel points and then evaluates the Jacobian of the image at those pixel points along the \(x\)-axis.

See also

• evaluate_image_jacobian_dx_at_pixel_points() for evaluating the Jacobian of the image at pixel points along the \(x\)-axis.

• image_points_to_pixel_points() for converting image points to pixel points.

Note

The image_points will be converted to numpy.float64 type.

Parameters:

image_points (ArrayLike) – The image points at which to evaluate the Jacobian. The shape should be (\(N_p\), 2) where \(N_p\) is the number of points and each point is represented by its \((x, y)\) coordinates.

Returns:

The evaluated Jacobian values with shape (\(N_p\),) or (\(N_p\), \(C\)) if color image in float64 dtype. If a pixel point is out of bounds, the corresponding value will be set to numpy.nan.

Return type:

numpy.ndarray