我运行这些命令
opencv_traincascade -data data/cascade -vec samples1.vec -bg negative/infofile.txt -numPos 231 -numNeg 100 -w 25 -h 15
在 Centos 系统中训练我的分类器，它返回以下内容
PARAMETERS:
cascadeDirName: data/cascade
vecFileName: samples1.vec
bgFileName: negative/infofile.txt
numPos: 231
numNeg: 100
numStages: 20
precalcValBufSize[Mb] : 256
precalcIdxBufSize[Mb] : 256
stageType: BOOST
featureType: HAAR
sampleWidth: 25
sampleHeight: 15
boostType: GAB
minHitRate: 0.995
maxFalseAlarmRate: 0.5
weightTrimRate: 0.95
maxDepth: 1
maxWeakCount: 100
mode: BASIC
===== TRAINING 0-stage =====
<BEGIN
POS count : consumed 231 : 231
Train dataset for temp stage can not be filled. Branch training terminated.
Cascade classifier can't be trained. Check the used training parameters.
谁能告诉我出了什么问题吗？:/
最佳答案
负样本数量太少。您应该通过在网络上搜索更多不包含检测到的对象的背景图像来将其增加得更大，例如 1000。
关于opencv - opencv 中的训练函数无法训练我的分类器，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/20153324/