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Haar Training: error (-215)_img.row * _img.cols == vecSize in function

Hello,

This issue was already discussed on this forum. However, I believe it was not solved, and I have already searched the internet for a solution and cannot find one.

I am trying to train a Haar Cascade to detect hands. I have a vec file of size 1000. I have 50 positive images and 600 negative images. I have tried both dropping my positive images and negative images. When I run the following command I receive the following error:

opencv_traincascade -data classifier -data classifier -vec samples.vec -bg negatives.txt
-numstages 20 -minHitRate 0.999 -maxFalseAlarmRate 0.5 -numPos 1000\ -numNeg 600 -w 80
-h 40 -mode ALL -precalcValBufSize 1024\ -precalcIdxBufSize 1024

PARAMETERS:
cascadeDirName: classifier
vecFileName: samples.vec
bgFileName: negatives.txt
numPos: 1000
numNeg: 1000
numStages: 20
precalcValBufSize[Mb] : 256
precalcIdxBufSize[Mb] : 256
stageType: BOOST
featureType: HAAR
sampleWidth: 24
sampleHeight: 24
boostType: GAB
minHitRate: 0.999
maxFalseAlarmRate: 0.5
weightTrimRate: 0.95
maxDepth: 1
maxWeakCount: 100
mode: BASIC



===== TRAINING 0-stage =====
<BEGIN
OpenCV Error: Assertion failed (_img.rows * _img.cols == vecSize) in get, file /home/lie/Desktop/Install-OpenCV-master/Ubuntu/2.4/OpenCV/opencv-2.4.9/apps/traincascade/imagestorage.cpp, line 157
terminate called after throwing an instance of 'cv::Exception'
  what():  /home/lie/Desktop/Install-OpenCV-master/Ubuntu/2.4/OpenCV/opencv-2.4.9/apps/traincascade/imagestorage.cpp:157: error: (-215) _img.rows * _img.cols == vecSize in function get

Aborted (core dumped)

I tried lowering my positive count, lowing the negative count, and doing the whole process over again and still received the same error. I have located the error in the cpp code, but I do not know how to recompile the code to print out the values that are causing the error. Any suggestions?

By the way: I am following the tutorial at : http://coding-robin.de/2013/07/22/train-your-own-opencv-haar-classifier.html

Thank you