From 9005e9ea7e3399c8891202ffbf636a17d76978c0 Mon Sep 17 00:00:00 2001
From: Krutika Bapat <bapatkrutika@gmail.com>
Date: Thu, 23 May 2019 19:17:03 +0800
Subject: [PATCH] Merge pull request #2000 from krutikabapat:master

Incomplete sentence corrected. Resolves Issue #1997 (#2000)

* Incomplete sentence corrected. Issue #1997

Resolves Issue #1997

``` FaceRecognizer::train(InputArrayOfArrays src, InputArray labels); ```

The type `InputArray` can accept `vector<T>` or `Mat` types as mentioned here: https://docs.opencv.org/3.4/d4/d32/classcv_1_1__InputArray.html

* Trailing whitespaces problem resolved
---
 modules/face/include/opencv2/face.hpp | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/modules/face/include/opencv2/face.hpp b/modules/face/include/opencv2/face.hpp
index 890f5b6a0..4f38c0cb1 100644
--- a/modules/face/include/opencv2/face.hpp
+++ b/modules/face/include/opencv2/face.hpp
@@ -162,7 +162,7 @@ public:
     @param src The training images, that means the faces you want to learn. The data has to be
     given as a vector\<Mat\>.
     @param labels The labels corresponding to the images have to be given either as a vector\<int\>
-    or a
+    or a Mat of type CV_32SC1.
 
     The following source code snippet shows you how to learn a Fisherfaces model on a given set of
     images. The images are read with imread and pushed into a std::vector\<Mat\>. The labels of each
@@ -175,6 +175,8 @@ public:
     // holds images and labels
     vector<Mat> images;
     vector<int> labels;
+    // using Mat of type CV_32SC1
+    // Mat labels(number_of_samples, 1, CV_32SC1);
     // images for first person
     images.push_back(imread("person0/0.jpg", CV_LOAD_IMAGE_GRAYSCALE)); labels.push_back(0);
     images.push_back(imread("person0/1.jpg", CV_LOAD_IMAGE_GRAYSCALE)); labels.push_back(0);
@@ -211,7 +213,7 @@ public:
     @param src The training images, that means the faces you want to learn. The data has to be given
     as a vector\<Mat\>.
     @param labels The labels corresponding to the images have to be given either as a vector\<int\> or
-    a
+    a Mat of type CV_32SC1.
 
     This method updates a (probably trained) FaceRecognizer, but only if the algorithm supports it. The
     Local Binary Patterns Histograms (LBPH) recognizer (see createLBPHFaceRecognizer) can be updated.