Loading autocnet/matcher/subpixel.py +21 −22 Original line number Diff line number Diff line Loading @@ -451,33 +451,32 @@ def subpixel_template_classic(reference_roi, moving_roi, affine=tf.AffineTransfo compute an x and y offset from the search keypoint to the template keypoint and an associated strength. Parameters ---------- sx : Numeric Source X coordinate sy : Numeric Source y coordinate dx : Numeric The desintation x coordinate dy : Numeric The destination y coordinate s_img : GeoDataset The source image GeoDataset d_img : GeoDataset The destination image GeoDataset image_size : tuple (xsize, ysize) of the image that is searched within (this should be larger than the template size) template_size : tuple (xsize, ysize) of the template to iterate over the image in order to identify the area(s) of highest correlation. reference_roi : autocnet.roi.Roi Roi object representing the reference image moving_roi : autocnet.roi.Roi Roi object representing the moving image, this image is registered to the reference_roi affine : skimage.transform.AffineTransform scikit-image Affine transformation, used as a seed transform that func : callable Some subpixel template matching function kwargs : dict keyword args for func Returns ------- x_shift : float Shift in the x-dimension y_shift : float Shift in the y-dimension affine : skimage.transform.AffineTransform Affine transform containing new strength : float Strength of the correspondence in the range [-1, 1] corrmap : np.array See Also -------- autocnet.matcher.naive_template.pattern_match : for the kwargs that can be passed to the matcher Loading Loading
autocnet/matcher/subpixel.py +21 −22 Original line number Diff line number Diff line Loading @@ -451,33 +451,32 @@ def subpixel_template_classic(reference_roi, moving_roi, affine=tf.AffineTransfo compute an x and y offset from the search keypoint to the template keypoint and an associated strength. Parameters ---------- sx : Numeric Source X coordinate sy : Numeric Source y coordinate dx : Numeric The desintation x coordinate dy : Numeric The destination y coordinate s_img : GeoDataset The source image GeoDataset d_img : GeoDataset The destination image GeoDataset image_size : tuple (xsize, ysize) of the image that is searched within (this should be larger than the template size) template_size : tuple (xsize, ysize) of the template to iterate over the image in order to identify the area(s) of highest correlation. reference_roi : autocnet.roi.Roi Roi object representing the reference image moving_roi : autocnet.roi.Roi Roi object representing the moving image, this image is registered to the reference_roi affine : skimage.transform.AffineTransform scikit-image Affine transformation, used as a seed transform that func : callable Some subpixel template matching function kwargs : dict keyword args for func Returns ------- x_shift : float Shift in the x-dimension y_shift : float Shift in the y-dimension affine : skimage.transform.AffineTransform Affine transform containing new strength : float Strength of the correspondence in the range [-1, 1] corrmap : np.array See Also -------- autocnet.matcher.naive_template.pattern_match : for the kwargs that can be passed to the matcher Loading
