updated solvePnpRansac performance test
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@@ -145,6 +145,8 @@ void cv::gpu::projectPoints(const GpuMat& src, const Mat& rvec, const Mat& tvec,
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namespace cv { namespace gpu { namespace solve_pnp_ransac
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{
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int maxNumIters();
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void computeHypothesisScores(
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const int num_hypotheses, const int num_points, const float* rot_matrices,
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const float3* transl_vectors, const float3* object, const float2* image,
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@@ -241,6 +243,7 @@ void cv::gpu::solvePnpRansac(const Mat& object, const Mat& image, const Mat& cam
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CV_Assert(object.cols == image.cols);
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CV_Assert(camera_mat.size() == Size(3, 3) && camera_mat.type() == CV_32F);
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CV_Assert(!params.use_extrinsic_guess); // We don't support initial guess for now
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CV_Assert(params.num_iters <= solve_pnp_ransac::maxNumIters());
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const int num_points = object.cols;
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CV_Assert(num_points >= params.subset_size);
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@@ -43,7 +43,7 @@
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#include "internal_shared.hpp"
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#include "opencv2/gpu/device/transform.hpp"
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#define SOLVE_PNP_RANSAC_NUM_ITERS 200
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#define SOLVE_PNP_RANSAC_MAX_NUM_ITERS 200
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namespace cv { namespace gpu
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{
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@@ -120,8 +120,13 @@ namespace cv { namespace gpu
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namespace solve_pnp_ransac
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{
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__constant__ float3 crot_matrices[SOLVE_PNP_RANSAC_NUM_ITERS * 3];
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__constant__ float3 ctransl_vectors[SOLVE_PNP_RANSAC_NUM_ITERS];
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__constant__ float3 crot_matrices[SOLVE_PNP_RANSAC_MAX_NUM_ITERS * 3];
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__constant__ float3 ctransl_vectors[SOLVE_PNP_RANSAC_MAX_NUM_ITERS];
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int maxNumIters()
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{
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return SOLVE_PNP_RANSAC_MAX_NUM_ITERS;
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}
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__device__ float sqr(float x)
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{
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