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deskewing: add a 2nd stage for precision

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after selecting the optimum angle on the original
search range, narrow down around in the vicinity
with half the range (adding computational costs,
but gaining precision)
This commit is contained in:
Robert Sachunsky 2025-11-28 18:27:58 +01:00
parent adcea47bc0
commit 56e73bf72f
1 changed files with 3 additions and 0 deletions
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3
src/eynollah/utils/separate_lines.py
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@ -1564,6 +1564,9 @@ def return_deskew_slop(img_patch_org, sigma_des,n_tot_angles=100,
angle2, var2 = get_smallest_skew(img_resized, sigma_des, angles2, map=map, logger=logger, plotter=plotter) angle2, var2 = get_smallest_skew(img_resized, sigma_des, angles2, map=map, logger=logger, plotter=plotter)
if var2 > var: if var2 > var:
angle = angle2 angle = angle2
# precision stage:
angles = np.linspace(angle - 2.5, angle + 2.5, n_tot_angles // 2)
angle, _ = get_smallest_skew(img_resized, sigma_des, angles, map=map, logger=logger, plotter=plotter)
return angle return angle
def get_smallest_skew(img, sigma_des, angles, logger=None, plotter=None, map=map): def get_smallest_skew(img, sigma_des, angles, logger=None, plotter=None, map=map):