哈尔训练OpenCV断言失败 [英] haar training OpenCV assertion failed

问题描述

我试图在OpenCV中使用3340正图像和1224负像来训练一个类似haar的分类器。 （在.txt文件中我保留负图像名称，即负像（1）.bmp，在txt文件中我保留正数，即图片（1）.bmp 1 0 0 64 128.
其实积极的例子已经裁剪的行人图像，所以我只需要指定每个图像一个正样本）。

在训练过程中的某一时刻，它停止并说：

Opencv错误：未知函数中的断言失败（elements_read == 1），文件c：\path\cvhaartraining.cpp，第1858行

有关造成这种情况的任何想法？

解决方案

此问题由OpenCV DevZone网站上的实用程序创建者于2012年6月回答。

引用Maria：

问题是你的vec文件有完全相同的样本计数
，您在命令行-numPos 979中传递。培训应用程序使用
来自vec文件的所有样本以训练0阶段，并且不能得到新的
正样本用于下一阶段训练因为vec文件结束了。
traincascade的错误是它在这种情况下有assert（），但它
必须抛出异常与错误消息为用户。它是固定的
在r8913。
-numPose是用于训练每个阶段的样本计数。一些已经使用的样本可以在每个阶段过滤（即
被识别为背景），但不超过（1 - minHitRate）* numPose
。所以vec文件必须包含> =（numPose +（numStages-1）
*（1 - minHitRate）* numPose）+ S，其中S是可以被识别为背景的vec文件马上。我希望它
可以帮助你创建正确大小的vec文件，并选择正确的numPos
值。

它为我工作。我也有同样的问题，我是按照关于HAAR培训的着名教程，但想尝试新的培训实用程序
-npos 7000 -nneg 2973

所以我做了下面的计算：

vec文件包含> =（numPos +（numStages-1）*（1 - minHitRate）* numPos）+ S

7000> = +（20-1）*（1-0.999）* numPos）+ 2973

（7000 - 2973）/（1 + 19 * 0.001）> = numPos

numPos <= 4027 / 1.019

numPos <= 3951〜〜3950

并使用：

-npos 3950 -nneg 2973

它工作。我也注意到，其他人也在减少numPos的成功：这里

I am trying to train a haar-like classifier for pedestrians in OpenCV using 3340 positive images and 1224 negative images. (in a .txt file I keep the negative image names i.e negatives(1).bmp, and in a txt file I keep the positives i.e. picture(1).bmp 1 0 0 64 128. Actually positive examples are already cropped images of pedestrians so I only need specify one positive sample per image).

At some point during the training process it stops and says :

"Opencv Error: Assertion failed (elements_read==1)in unknown function, file c:\path\cvhaartraining.cpp, line 1858"

Any ideas as to what is causing this ?

解决方案

this issue was answered by creater of the utility on the OpenCV DevZone site in June 2012.

To quote Maria:

The problem is that your vec-file has exactly the same samples count that you passed in command line -numPos 979. Training application used all samples from the vec-file to train 0-stage and it can not get new positive samples for the next stage training because vec-file is over. The bug of traincascade is that it had assert() in such cases, but it has to throw an exception with error message for a user. It was fixed in r8913. -numPose is a samples count that is used to train each stage. Some already used samples can be filtered by each previous stage (ie recognized as background), but no more than (1 - minHitRate) * numPose on each stage. So vec-file has to contain >= (numPose + (numStages-1) * (1 - minHitRate) * numPose) + S, where S is a count of samples from vec-file that can be recognized as background right away. I hope it can help you to create vec-file of correct size and chose right numPos value.

It worked for me. I also had same problem, I was following the famous tutorial on HAAR training but wanted to try the newer training utility with -npos 7000 -nneg 2973

so i did following calcs:

vec-file has to contain >= (numPos + (numStages-1) * (1 - minHitRate) * numPos) + S

7000 >= (numPos + (20-1) * (1 - 0.999) * numPos) + 2973

(7000 - 2973)/(1 + 19*0.001) >= numPos

numPos <= 4027/1.019

numPos <= 3951 ~~ 3950

and used:

-npos 3950 -nneg 2973

It works. I also noticed that others have also had success with reducing numPos : here

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