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authorDavid Plowman <david.plowman@raspberrypi.com>2025-04-28 11:36:03 +0100
committerKieran Bingham <kieran.bingham@ideasonboard.com>2025-04-29 16:14:48 +0100
commit36ba0e5515075f87490048aa1d5f57b6c3864bae (patch)
tree29d381632cd0761bb4cbc4631bdd46bc3c0a3e80 /utils
parent9b50d3c23dea1bc2882cd3e6566a3d4cb9f7296f (diff)
utils: raspberrypi: ctt: Fix NaNs in lens shading tables
The problem occurs when the calculation could lead to a final row (or column) of grid squares with no pixels in them (and hence, NaNs). One specific case is a Pi 5 with an image width (or height) of 1364, so that's 682 Bayer quads. To give 32 grid squares it was calculating 22 quads per cell. However, 31 * 22 = 682 leaving nothing in the final column. The fix is to do a rounding-down division by the number of cells minus one, rather than a rounding-up division by the number of cells. This turns the corner case from one where the final row/column has no pixels to one where we don't quite cover the full image, which is how we have to handle these cases. Bug: https://github.com/raspberrypi/libcamera/issues/254 Signed-off-by: David Plowman <david.plowman@raspberrypi.com> Reviewed-by: Naushir Patuck <naush@raspberrypi.com> Acked-by: Kieran Bingham <kieran.bingham@ideasonboard.com> Signed-off-by: Kieran Bingham <kieran.bingham@ideasonboard.com>
Diffstat (limited to 'utils')
-rw-r--r--utils/raspberrypi/ctt/ctt_alsc.py7
1 files changed, 4 insertions, 3 deletions
diff --git a/utils/raspberrypi/ctt/ctt_alsc.py b/utils/raspberrypi/ctt/ctt_alsc.py
index 1d94dfa5..f4fd09e3 100644
--- a/utils/raspberrypi/ctt/ctt_alsc.py
+++ b/utils/raspberrypi/ctt/ctt_alsc.py
@@ -127,11 +127,12 @@ def alsc(Cam, Img, do_alsc_colour, plot=False, grid_size=(16, 12), max_gain=8.0)
channels = [Img.channels[i] for i in Img.order]
"""
calculate size of single rectangle.
- -(-(w-1)//32) is a ceiling division. w-1 is to deal robustly with the case
- where w is a multiple of 32.
+ The divisions here must ensure the final row/column of cells has a non-zero number of
+ pixels.
"""
w, h = Img.w/2, Img.h/2
- dx, dy = int(-(-(w-1)//grid_w)), int(-(-(h-1)//grid_h))
+ dx, dy = (w - 1) // (grid_w - 1), (h - 1) // (grid_h - 1)
+
"""
average the green channels into one
"""