HaarTraining与OpenCV错误 [英] HaarTraining with OpenCV error

问题描述

我有大约15000个带有感兴趣对象（正样本）和7000个负像（非感兴趣对象）的裁剪图像。裁剪后的图像分辨率为48x96，并放在一个文件夹中。包含正样本的.txt文件看起来像这样：picture1.pgm 1 0 0 48 96意味着图片1中有1个正样本从（0,0）到（48,96）。同样，我有一个负片图像的.txt文件。

I have about 15000 cropped images with the object of interest (positive samples) and 7000 negative images (non object of interest). The cropped images have a resolution of 48x96 and are placed in a folder. The .txt file containing the positive samples looks something like this : picture1.pgm 1 0 0 48 96 meaning that there is 1 positive sample in picture 1 from (0,0) to (48, 96). Likewise I have a .txt file for negative images.

培训命令如下：
c：\libraries \\ \\ OpenCV2.4.1\opencv\built\bin\Debug> opencv_haartrainingd.exe -data d
ata / cascade -vec data / positives.vec -bg c：/ users / gheorghi / desktop / daimler / pedest
rian_stereo_extracted / nonpedestrian / nonpedestrian / c0 / negatives.txt -npos 15660 -
nneg 7129 -ststage 14 -mem 1000 -mode ALL -w 18 -h 36 -nonsym

但在某些时候我总是会收到此错误：

But at some point I always get this error :

    Parent node: 0

*** 1 cluster ***
OpenCV Error: Assertion failed (elements_read == 1) in unknown function, file C:
\libraries\OpenCV2.4.1\opencv\apps\haartraining\cvhaartraining.cpp, line 1858

如何我可以克服这个???任何帮助表示赞赏。非常感谢

How can I overcome this ??? Any help is appreciated. Many many thanks

推荐答案

我发现问题可以通过两种方式解决。你可以减少积极数量或增加负面数量。无论哪种方式，事实证明，正负比率有所帮助。

I found that the problem can be solved in 2 ways. you can either decrease the amount of positives or increase the amount of negatives. either way it turns out that having a small positive to negative ratio helps.

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