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Make _get_perspective_coeffs more numerically stable #8249
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/vision/8249
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (17 Unrelated Failures)As of commit fb78e35 with merge base ae14789 (): FLAKY - The following jobs failed but were likely due to flakiness present on trunk:
BROKEN TRUNK - The following jobs failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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Thanks for the report and for the fix @Parskatt . This looks good, just some minor comments below, LMK what you think
torchvision/transforms/functional.py
Outdated
@@ -676,14 +676,16 @@ def _get_perspective_coeffs(startpoints: List[List[int]], endpoints: List[List[i | |||
Returns: | |||
octuple (a, b, c, d, e, f, g, h) for transforming each pixel. | |||
""" | |||
# TODO: this should raise an error if < 4 points are provided (and probably also if more than 4) //Parskatt |
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Feel free to address this here!
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made a simple check for 4 corners
torchvision/transforms/functional.py
Outdated
a_matrix = torch.zeros(2 * len(startpoints), 8, dtype=torch.float) | ||
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for i, (p1, p2) in enumerate(zip(endpoints, startpoints)): | ||
a_matrix[2 * i, :] = torch.tensor([p1[0], p1[1], 1, 0, 0, 0, -p2[0] * p1[0], -p2[0] * p1[1]]) | ||
a_matrix[2 * i + 1, :] = torch.tensor([0, 0, 0, p1[0], p1[1], 1, -p2[1] * p1[0], -p2[1] * p1[1]]) | ||
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b_matrix = torch.tensor(startpoints, dtype=torch.float).view(8) | ||
res = torch.linalg.lstsq(a_matrix, b_matrix, driver="gels").solution | ||
# do least squares in double precision to prevent numerical issues | ||
res = torch.linalg.lstsq(a_matrix.double(), b_matrix.double(), driver="gels").solution.to(torch.float32) |
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Instead of creating a_matrix
and b_matrix
as float and then converting them as double, should we just create both as double
?
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sounds good, changed
Thanks @Parskatt . Looks like there's still a minor lint issue. I tried pushing directly to your PR branch but I don't have persmission. This diff should fix it, if you don't mind applying it manually diff --git a/torchvision/transforms/functional.py b/torchvision/transforms/functional.py
index c67a45001f..b5c242c1e6 100644
--- a/torchvision/transforms/functional.py
+++ b/torchvision/transforms/functional.py
@@ -679,7 +679,7 @@ def _get_perspective_coeffs(startpoints: List[List[int]], endpoints: List[List[i
if len(startpoints) != 4 or len(endpoints) != 4:
raise ValueError(
f"Please provide exactly four corners, got {len(startpoints)} startpoints and {len(endpoints)} endpoints."
- )
+ )
a_matrix = torch.zeros(2 * len(startpoints), 8, dtype=torch.float64)
for i, (p1, p2) in enumerate(zip(endpoints, startpoints)):
|
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There are some CI failures but they're unrelated so this is good to merge. Thanks a lot for the report and for the fix @Parskatt
Summary: Co-authored-by: Nicolas Hug <[email protected]> Reviewed By: vmoens Differential Revision: D55062809 fbshipit-source-id: 8303a6f16c8c4fb3a59c970110edd557e9aeadeb
See #8248
cc @vfdev-5