【openCV】使用opencv_traincascade.exe 遇到的问题

[iwill_chyw]

各位高人

想用opencv_traincascade.exe 训练自己的XML， 简要步骤如下

1， createsamples
其中使用的posNum 5709, negNum 4381， 其中所有的pos, neg的大小都是 20*20
训练出来的vec data大小有 4464 KB

2, 第一次使用 opencv_traincascade.exe -data D:\traincascade -vec D:\data\pos.vec -bg D:\bg.txt -numPos 5709-numNeg 4381 -numStages 22 -precalcValBufSize 200 -precalcIdxBufSize 1000 -featureType LBP -w 20 -h 20， 会有有一个断言失败，opencv_traincascade.exe OpenCV Error: Assertion failed (elements_read == 1)

之后我将相应的numPos 调小至 5000， numNeg 调至4350， 断言消失，很快就会产生7 个parenet Node, 但在第8个stage, 一直就停住了， 跑了2天还是如此

不知道具体的原因是什么？ 求解？ 多谢各位
或者说createsamples中的numpos, 与negNum 的值与traincascade 中的对应的值有什么关系？ 比例是怎么样的

[cjnaning]

这是我在网上搜到的正解： 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.

[heathyhuhu]

为什么我的总是报那个nullpointer 的 Null pointer (NULL filename) in unknown function, file ..\..\..\src persistence 2603 错误，这个命令下的参数是严格按照参考文件来的，为什么会报错？？？在线急等啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊！

[天使之一]

很遗憾的说我也遇到这个问题，出现了断言失败，错误地点在opencv/modules/core/src/arithm。cpp中 2841行

[andyboliu]

读取或处理到了没有数据的内存，看一下读取或者处理的图像大小，数目设置哪里超出了实际值。

[meng1991zhong]

楼主 不好意思打扰了 为什么我找不到opencv_traincascade.exe呢？我用的是OPENCV2.4.3

[mdq_123]

楼主，负样本是怎么做呢？直接在网上随便找些图片？

[a201c501ys]

opencv_haartraining.exe 训练某一层停住时需要更新负样本，按ctrl+c 输入y停止，换新的相同数量的负样本就行了，已经训练成功几次了。

[蓝色的杯子]

断言是样本太少了，我们的没有并行，要训练3天

[蓝色的杯子]

楼主没有加源码调么，这些小问题你一调就知道了。停止没反应是木有认错的负本了

[宁静致远_淡泊明志]

我也遇到了同样的问题，一星期了，有解决的吗？非常感谢

[yundanfengqing1qq]

既然没有认错的样本了，那为什么卡主，全部分类正确后，应该正常退出啊

[yundanfengqing1qq]

这个当时 我在后面加了 —stages 4，我在第6层卡住了，因此只让前5层生成的强分类器（0,1,2,3,4）生成XML文件，但是对于那种不卡住的，系统自动生成xml的，我也没有弄出来

[blueink_200451]

[思飞工作室]

引用 12 楼 a201c501ys 的回复:

opencv_haartraining.exe 训练某一层停住时需要更新负样本，按ctrl+c 输入y停止，换新的相同数量的负样本就行了，已经训练成功几次了。

具体怎么个换法？？

[天使之一]

同志，有没有opencv_traincascade.exe给我一份，发到我邮箱[e-mail]，我的是opencv2.4.6版本怎么安装后找不到呢？跑到哪里去了呢？？、、、

[小ks强]

引用 20 楼 woaipaoche 的回复:

同志，有没有opencv_traincascade.exe给我一份，发到我邮箱[e-mail]，我的是opencv2.4.6版本怎么安装后找不到呢？跑到哪里去了呢？？、、、

我给你发了，记得接收

[小ks强]

引用 6 楼 cjnaning 的回复:

这是我在网上搜到的正解： 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.

这些话是什么意思啊，我看不懂，，，我总是有这个错误Traincascade Error: Bad argument (Can not get new positive sample. The most possible reason is insufficient count of samples in given vec-file.，知道怎么解决么

[上岸の鱼]

引用 22 楼 a6670369 的回复:

[quote=引用 6 楼 cjnaning 的回复:] 这是我在网上搜到的正解： 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.

这些话是什么意思啊，我看不懂，，，我总是有这个错误Traincascade Error: Bad argument (Can not get new positive sample. The most possible reason is insufficient count of samples in given vec-file.，知道怎么解决么[/quote] 这句话是说：最可能的原因是你的样本数量不够。

[hangzadfg]

-numPos参数指定的是在一个stage中使用的正样本个数，并不是全部正样本个数

[LHY_045]

楼主您问题解决了吗？我现在一输入opencv_traincascade -data dt -vec train.vec -bg bg.txt -numPos 1500 -numNeg 3000 -w 120 -h 120的语句就报错，不知为何。