mirror/opencv
1
0
Fork 0
mirror of https://github.com/opencv/opencv.git synced 2024-11-25 03:30:34 +08:00
Code Issues Actions Packages Projects Releases Wiki Activity

simplify error conditions

Browse Source 
`A || !A` is `true` so write `(A && B) || !A` as `B || !A`
This commit is contained in:
Pavel Rojtberg 2015-09-14 15:15:24 +02:00
parent 190d00ea3e
commit f0282337e3
1 changed files with 11 additions and 11 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

22
modules/calib3d/src/fisheye.cpp
View File

@ -512,7 +512,7 @@ void cv::fisheye::estimateNewCameraMatrixForUndistortRectify(InputArray K, Input
OutputArray P, double balance, const Size& new_size, double fov_scale) OutputArray P, double balance, const Size& new_size, double fov_scale)
{ {
CV_Assert( K.size() == Size(3, 3) && (K.depth() == CV_32F || K.depth() == CV_64F)); CV_Assert( K.size() == Size(3, 3) && (K.depth() == CV_32F || K.depth() == CV_64F));
CV_Assert((D.empty() || D.total() == 4) && (D.depth() == CV_32F || D.depth() == CV_64F || D.empty())); CV_Assert(D.empty() || ((D.total() == 4) && (D.depth() == CV_32F || D.depth() == CV_64F)));
int w = image_size.width, h = image_size.height; int w = image_size.width, h = image_size.height;
balance = std::min(std::max(balance, 0.0), 1.0); balance = std::min(std::max(balance, 0.0), 1.0);
@ -694,12 +694,12 @@ double cv::fisheye::calibrate(InputArrayOfArrays objectPoints, InputArrayOfArray
CV_Assert(!objectPoints.empty() && !imagePoints.empty() && objectPoints.total() == imagePoints.total()); CV_Assert(!objectPoints.empty() && !imagePoints.empty() && objectPoints.total() == imagePoints.total());
CV_Assert(objectPoints.type() == CV_32FC3 || objectPoints.type() == CV_64FC3); CV_Assert(objectPoints.type() == CV_32FC3 || objectPoints.type() == CV_64FC3);
CV_Assert(imagePoints.type() == CV_32FC2 || imagePoints.type() == CV_64FC2); CV_Assert(imagePoints.type() == CV_32FC2 || imagePoints.type() == CV_64FC2);
CV_Assert((!K.empty() && K.size() == Size(3,3)) || K.empty()); CV_Assert(K.empty() || (K.size() == Size(3,3)));
CV_Assert((!D.empty() && D.total() == 4) || D.empty()); CV_Assert(D.empty() || (D.total() == 4));
CV_Assert((!rvecs.empty() && rvecs.channels() == 3) || rvecs.empty()); CV_Assert(rvecs.empty() || (rvecs.channels() == 3));
CV_Assert((!tvecs.empty() && tvecs.channels() == 3) || tvecs.empty()); CV_Assert(tvecs.empty() || (tvecs.channels() == 3));
CV_Assert(((flags & CALIB_USE_INTRINSIC_GUESS) && !K.empty() && !D.empty()) || !(flags & CALIB_USE_INTRINSIC_GUESS)); CV_Assert((!K.empty() && !D.empty()) || !(flags & CALIB_USE_INTRINSIC_GUESS));
using namespace cv::internal; using namespace cv::internal;
//-------------------------------Initialization //-------------------------------Initialization
@ -825,12 +825,12 @@ double cv::fisheye::stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayO
CV_Assert(imagePoints1.type() == CV_32FC2 || imagePoints1.type() == CV_64FC2); CV_Assert(imagePoints1.type() == CV_32FC2 || imagePoints1.type() == CV_64FC2);
CV_Assert(imagePoints2.type() == CV_32FC2 || imagePoints2.type() == CV_64FC2); CV_Assert(imagePoints2.type() == CV_32FC2 || imagePoints2.type() == CV_64FC2);
CV_Assert((!K1.empty() && K1.size() == Size(3,3)) || K1.empty()); CV_Assert(K1.empty() || (K1.size() == Size(3,3)));
CV_Assert((!D1.empty() && D1.total() == 4) || D1.empty()); CV_Assert(D1.empty() || (D1.total() == 4));
CV_Assert((!K2.empty() && K1.size() == Size(3,3)) || K2.empty()); CV_Assert(K2.empty() || (K1.size() == Size(3,3)));
CV_Assert((!D2.empty() && D1.total() == 4) || D2.empty()); CV_Assert(D2.empty() || (D1.total() == 4));
CV_Assert(((flags & CALIB_FIX_INTRINSIC) && !K1.empty() && !K2.empty() && !D1.empty() && !D2.empty()) || !(flags & CALIB_FIX_INTRINSIC)); CV_Assert((!K1.empty() && !K2.empty() && !D1.empty() && !D2.empty()) || !(flags & CALIB_FIX_INTRINSIC));
//-------------------------------Initialization //-------------------------------Initialization