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Misc. modules/ typos (cont.)

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Found via `codespell`
This commit is contained in:
luz.paz
2018-02-12 10:15:36 -05:00
parent 17233c687e
commit e805a55a5b
35 changed files with 74 additions and 74 deletions
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modules/objdetect/include/opencv2/objdetect.hpp
+8 -8
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@@ -346,7 +346,7 @@ struct DetectionROI
{
//! scale(size) of the bounding box
double scale;
//! set of requrested locations to be evaluated
//! set of requested locations to be evaluated
std::vector<cv::Point> locations;
//! vector that will contain confidence values for each location
std::vector<double> confidences;
@@ -497,11 +497,11 @@ public:
@param foundLocations Vector of point where each point contains left-top corner point of detected object boundaries.
@param weights Vector that will contain confidence values for each detected object.
@param hitThreshold Threshold for the distance between features and SVM classifying plane.
Usually it is 0 and should be specfied in the detector coefficients (as the last free coefficient).
Usually it is 0 and should be specified in the detector coefficients (as the last free coefficient).
But if the free coefficient is omitted (which is allowed), you can specify it manually here.
@param winStride Window stride. It must be a multiple of block stride.
@param padding Padding
@param searchLocations Vector of Point includes set of requrested locations to be evaluated.
@param searchLocations Vector of Point includes set of requested locations to be evaluated.
*/
CV_WRAP virtual void detect(const Mat& img, CV_OUT std::vector<Point>& foundLocations,
CV_OUT std::vector<double>& weights,
@@ -513,7 +513,7 @@ public:
@param img Matrix of the type CV_8U or CV_8UC3 containing an image where objects are detected.
@param foundLocations Vector of point where each point contains left-top corner point of detected object boundaries.
@param hitThreshold Threshold for the distance between features and SVM classifying plane.
Usually it is 0 and should be specfied in the detector coefficients (as the last free coefficient).
Usually it is 0 and should be specified in the detector coefficients (as the last free coefficient).
But if the free coefficient is omitted (which is allowed), you can specify it manually here.
@param winStride Window stride. It must be a multiple of block stride.
@param padding Padding
@@ -530,7 +530,7 @@ public:
@param foundLocations Vector of rectangles where each rectangle contains the detected object.
@param foundWeights Vector that will contain confidence values for each detected object.
@param hitThreshold Threshold for the distance between features and SVM classifying plane.
Usually it is 0 and should be specfied in the detector coefficients (as the last free coefficient).
Usually it is 0 and should be specified in the detector coefficients (as the last free coefficient).
But if the free coefficient is omitted (which is allowed), you can specify it manually here.
@param winStride Window stride. It must be a multiple of block stride.
@param padding Padding
@@ -548,7 +548,7 @@ public:
@param img Matrix of the type CV_8U or CV_8UC3 containing an image where objects are detected.
@param foundLocations Vector of rectangles where each rectangle contains the detected object.
@param hitThreshold Threshold for the distance between features and SVM classifying plane.
Usually it is 0 and should be specfied in the detector coefficients (as the last free coefficient).
Usually it is 0 and should be specified in the detector coefficients (as the last free coefficient).
But if the free coefficient is omitted (which is allowed), you can specify it manually here.
@param winStride Window stride. It must be a multiple of block stride.
@param padding Padding
@@ -632,7 +632,7 @@ public:
@param foundLocations Vector of Point where each Point is detected object's top-left point.
@param confidences confidences
@param hitThreshold Threshold for the distance between features and SVM classifying plane. Usually
it is 0 and should be specfied in the detector coefficients (as the last free coefficient). But if
it is 0 and should be specified in the detector coefficients (as the last free coefficient). But if
the free coefficient is omitted (which is allowed), you can specify it manually here
@param winStride winStride
@param padding padding
@@ -646,7 +646,7 @@ public:
@param img Matrix of the type CV_8U or CV_8UC3 containing an image where objects are detected.
@param foundLocations Vector of rectangles where each rectangle contains the detected object.
@param locations Vector of DetectionROI
@param hitThreshold Threshold for the distance between features and SVM classifying plane. Usually it is 0 and should be specfied
@param hitThreshold Threshold for the distance between features and SVM classifying plane. Usually it is 0 and should be specified
in the detector coefficients (as the last free coefficient). But if the free coefficient is omitted (which is allowed), you can specify it manually here.
@param groupThreshold Minimum possible number of rectangles minus 1. The threshold is used in a group of rectangles to retain it.
*/