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author | Stanislaw Halik <sthalik@misaki.pl> | 2019-01-08 09:10:33 +0100 |
---|---|---|
committer | Stanislaw Halik <sthalik@misaki.pl> | 2019-01-16 07:48:48 +0100 |
commit | 9e0c82209c9dea0af3f3f16b88a606f5b8cec380 (patch) | |
tree | adae01a431916f959cf3eaacbf812ee7fb716a1e | |
parent | 7e172957947179b1643caa5da1488daa3ca1c1f0 (diff) |
tracker/pt: fix prototypes
-rw-r--r-- | tracker-pt/module/point_extractor.cpp | 4 | ||||
-rw-r--r-- | tracker-pt/module/point_extractor.h | 2 |
2 files changed, 3 insertions, 3 deletions
diff --git a/tracker-pt/module/point_extractor.cpp b/tracker-pt/module/point_extractor.cpp index 53f03fa9..6eaf0d2f 100644 --- a/tracker-pt/module/point_extractor.cpp +++ b/tracker-pt/module/point_extractor.cpp @@ -49,7 +49,7 @@ corresponding location is a good candidate for the extracted point. The idea similar to the window scaling suggested in Berglund et al. "Fast, bias-free algorithm for tracking single particles with variable size and shape." (2008). */ -static cv::Vec2d MeanShiftIteration(const cv::Mat &frame_gray, const vec2 ¤t_center, f filter_width) +static vec2 MeanShiftIteration(const cv::Mat1b &frame_gray, const vec2 ¤t_center, f filter_width) { // Most amazingly this function runs faster with doubles than with floats. const f s = 1 / filter_width; @@ -109,7 +109,7 @@ void PointExtractor::ensure_buffers(const cv::Mat& frame) } } -void PointExtractor::extract_single_channel(const cv::Mat& orig_frame, int idx, cv::Mat& dest) +void PointExtractor::extract_single_channel(const cv::Mat& orig_frame, int idx, cv::Mat1b& dest) { ensure_channel_buffers(orig_frame); diff --git a/tracker-pt/module/point_extractor.h b/tracker-pt/module/point_extractor.h index 03b43489..06948ac7 100644 --- a/tracker-pt/module/point_extractor.h +++ b/tracker-pt/module/point_extractor.h @@ -48,7 +48,7 @@ private: void ensure_channel_buffers(const cv::Mat& orig_frame); void ensure_buffers(const cv::Mat& frame); - void extract_single_channel(const cv::Mat& orig_frame, int idx, cv::Mat& dest); + void extract_single_channel(const cv::Mat& orig_frame, int idx, cv::Mat1b& dest); void color_to_grayscale(const cv::Mat& frame, cv::Mat1b& output); void threshold_image(const cv::Mat& frame_gray, cv::Mat1b& output); |