python - Haar Training : error (-215)_img. row * _img.cols == vecSize 函数

Question

我正在尝试训练 Haar Cascade 来检测手部。我有一个大小为 1000 的 vec 文件。我有 40 张正面图片和 600 张负面图片。我试过放弃我的正面形象和负面形象。当我运行以下命令时，我收到以下错误:

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

中止(核心转储)

我尝试降低阳性计数并重新执行整个过程，但仍然收到相同的错误。有什么建议吗？

顺便说一句:我正在按照以下教程进行操作:http://coding-robin.de/2013/07/22/train-your-own-opencv-haar-classifier.html

谢谢

Answer 1

错误似乎不是大量正样本或负样本的结果。人们确实会训练非常大的数据集!

从上面描述的参数可以看出，构成samples.vec的正样本的维度是24x24，用语句表示:

sampleWidth: 24
sampleHeight: 24

但是在调用 opencv_traincascade 函数时，您尝试将维度设置为 80x40。尝试将其更改为 -w 24 -h 24