From 3225c079d30283f531e66618d2c03708ea43d403 Mon Sep 17 00:00:00 2001 From: George Horsey Date: Mon, 30 Sep 2024 22:40:41 -0500 Subject: [PATCH] Update calibration.md OpenCV Docs Link (#1445) Link had ">" at the end of the URL causing a 404 error. --- docs/source/docs/calibration/calibration.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/docs/calibration/calibration.md b/docs/source/docs/calibration/calibration.md index 7f866d1dd5..e4e9fb3b3d 100644 --- a/docs/source/docs/calibration/calibration.md +++ b/docs/source/docs/calibration/calibration.md @@ -4,7 +4,7 @@ In order to detect AprilTags and use 3D mode, your camera must be calibrated at the desired resolution! Inaccurate calibration will lead to poor performance. ::: -To calibrate a camera, images of a Charuco board (or chessboard) are taken. By comparing where the grid corners should be in object space (for example, a corner once every inch in an 8x6 grid) with where they appear in the camera image, we can find a least-squares estimate for intrinsic camera properties like focal lengths, center point, and distortion coefficients. For more on camera calibration, please review the [OpenCV documentation](https://docs.opencv.org/4.x/dc/dbb/tutorial_py_calibration.html>). +To calibrate a camera, images of a Charuco board (or chessboard) are taken. By comparing where the grid corners should be in object space (for example, a corner once every inch in an 8x6 grid) with where they appear in the camera image, we can find a least-squares estimate for intrinsic camera properties like focal lengths, center point, and distortion coefficients. For more on camera calibration, please review the [OpenCV documentation](https://docs.opencv.org/4.x/dc/dbb/tutorial_py_calibration.html). :::{warning} While any resolution can be calibrated, higher resolutions may be too performance-intensive for some coprocessors to handle. Therefore, we recommend experimenting to see what works best for your coprocessor.