OpenCV Haartraining不会永远完成 [英] OpenCV Haartraining does not finish forever

问题描述

这是我第一次使用haatraining的opencv。

This is the first time I use haartraining of opencv.

只是为了练习，我使用了35张正图片和45张负图片。

Just for practice, I used 35 positive images and 45 negative images.

但是当我尝试从数据中训练时，它不会永远完成，

But when I try to train from data, It does not finish forever,

即使参数被极端调整。

（最小命中率= 0.001，最大错误警报率= 0.999

(min hit rate = 0.001, max false alarm rate = 0.999

我认为这不需要很多时间因为这个极端值）

I don't think it would take a lot of time because of this extreme values)

我的实验中必须出现什么错误？

What must be wrong in my experiment?

这里是我的命令和参数。

Here is my command and parameters.

$opencv_haartraining -data Training -vec samples.vec -bg negatives.dat -nstages 2 -nsplits     2 -minhitrate 0.001 -maxfalsealarm 0.999 -npos 30 -nneg 40 -w 20 -h 20 -nonsym -mem 512 -mode      ALL -minpos 10

$ b b

结果。

And the result.

Data dir name: Training
Vec file name: samples.vec
BG  file name: negatives.dat, is a vecfile: no
Num pos: 30
Num neg: 40
Num stages: 2
Num splits: 2 (tree as weak classifier)
Mem: 512 MB
Symmetric: FALSE
Min hit rate: 0.001000
Max false alarm rate: 0.999000
Weight trimming: 0.950000
Equal weights: FALSE
Mode: ALL
Width: 20
Height: 20
Applied boosting algorithm: GAB
Error (valid only for Discrete and Real AdaBoost): misclass
Max number of splits in tree cascade: 0
Min number of positive samples per cluster: 10
Required leaf false alarm rate: 0.998001
Stage 0 loaded
Stage 1 loaded
Stage 2 loaded
Stage 3 loaded
Stage 4 loaded

Tree Classifier
Stage
+---+---+---+---+---+
|  0|  1|  2|  3|  4|
+---+---+---+---+---+

   0---1---2---3---4

Number of features used : 125199

Parent node: 4

*** 1 cluster ***
POS: 30 32 0.937500

推荐答案

我认为你正在使用OpenCV_Haartraining ？

Am I correct in thinking that you are using OpenCV_Haartraining?

如果是这样，则应该使用opencv_traincascades。

If so this is a deprecated app and you should use opencv_traincascades.

This will

- A. Speed up the time taken to classify 
 - B. Have better support

查看这些链接以进一步阅读
Training Vs TrainCascade 和 TrainCascade Wiki 。

See these links for further reading Training Vs TrainCascade and TrainCascade Wiki.

编辑：

也可以更改您的最低命中率和maxFalseAlarm费率。

also, change your min hit rate and maxFalseAlarm rate.

我建议使用0.4&

I would suggest using something like 0.4 & 0.95 to get going.

这是因为它会永远的命中率为0.999， 0.0001，如果有的话。

reason for this is that it will take forever for it to hit 0.999 & 0.0001 if ever.

这篇关于OpenCV Haartraining不会永远完成的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！