mirror/opencv
1
0
Fork 0
mirror of https://github.com/opencv/opencv.git synced 2025-06-13 04:52:53 +08:00
Code Issues Actions Packages Projects Releases Wiki Activity

add explanation to detectMultiScale overload functionality

Browse Source
This commit is contained in:
StevenPuttemans 2017-02-06 10:38:03 +01:00
parent a2fed4c790
commit bfb18d29a6
1 changed files with 15 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

16
modules/objdetect/include/opencv2/objdetect.hpp
View File

@ -294,7 +294,21 @@ public:
Size maxSize=Size() ); Size maxSize=Size() );
/** @overload /** @overload
if `outputRejectLevels` is `true` returns `rejectLevels` and `levelWeights` This function allows you to retrieve the final stage decision certainty of classification.
For this, one needs to set `outputRejectLevels` on true and provide the `rejectLevels` and `levelWeights` parameter.
For each resulting detection, `levelWeights` will then contain the certainty of classification at the final stage.
This value can then be used to separate strong from weaker classifications.
A code sample on how to use it efficiently can be found below:
@code
Mat img;
vector<double> weights;
vector<int> levels;
vector<Rect> detections;
CascadeClassifier model("/path/to/your/model.xml");
model.detectMultiScale(img, detections, levels, weights, 1.1, 3, 0, Size(), Size(), true);
cerr << "Detection " << detections[0] << " with weight " << weights[0] << endl;
@endcode
*/ */
CV_WRAP_AS(detectMultiScale3) void detectMultiScale( InputArray image, CV_WRAP_AS(detectMultiScale3) void detectMultiScale( InputArray image,
CV_OUT std::vector<Rect>& objects, CV_OUT std::vector<Rect>& objects,