计算1天后的OpenCV异常

我正在使用opencv_traincascade进行对象检测。我试图在照片上找到眼镜。为此，我已经下载了830张照片，如下所示： http://pi1.lmcdn.ru/product/V/I/VI060DWIHZ27_1_v2.jpg 计算1天后的OpenCV异常

然后我下载了许多带有模型的照片或照片，1799张照片。

然后我已经开始opencv_traincascade与参数： opencv_traincascade -data功能/分类-vec samples.vec -bg negatives.txt -numStages 10 -minHitRate 0.999 -maxFalseAlarmRate 0.5 -numPos 830 -numNeg 1799 -w 60 -h 90 -mode ALL -precalcValBufSize 1024 -precalcIdxBufSize 1024

但是在步骤4之后，我收到一条消息：无法填充临时舞台的列车数据集。分支培训已终止。

完整的堆栈跟踪是：

➜ pictureFeature opencv_traincascade -data Feature/classifier -vec samples.vec -bg negatives.txt -numStages 10 -minHitRate 0.999 -maxFalseAlarmRate 0.5 -numPos 830 -numNeg 1799 -w 60 -h 90 -mode ALL -precalcValBufSize 1024 -precalcIdxBufSize 1024 

PARAMETERS: 
cascadeDirName: Feature/classifier 
vecFileName: samples.vec 
bgFileName: negatives.txt 
numPos: 830 
numNeg: 1799 
numStages: 10 
precalcValBufSize[Mb] : 1024 
precalcIdxBufSize[Mb] : 1024 
acceptanceRatioBreakValue : -1 
stageType: BOOST 
featureType: HAAR 
sampleWidth: 60 
sampleHeight: 90 
boostType: GAB 
minHitRate: 0.999 
maxFalseAlarmRate: 0.5 
weightTrimRate: 0.95 
maxDepth: 1 
maxWeakCount: 100 
mode: ALL 



===== TRAINING 0-stage ===== 
<BEGIN 
POS count : consumed 830 : 830 
NEG count : acceptanceRatio 1799 : 1 
Precalculation time: 26 

+----+---------+---------+ 
| N | HR | FA | 
+----+---------+---------+ 
| 1|  1|  1| 
+----+---------+---------+ 
| 2|  1|  1| 
+----+---------+---------+ 
| 3|  1| 0.145636| 
+----+---------+---------+ 

END> 
Training until now has taken 0 days 5 hours 22 minutes 10 seconds. 

===== TRAINING 1-stage ===== 
<BEGIN 
POS count : consumed 830 : 830 
NEG count : acceptanceRatio 1799 : 0.145715 
Precalculation time: 24 

+----+---------+---------+ 
| N | HR | FA | 
+----+---------+---------+ 
| 1|  1|  1| 
+----+---------+---------+ 
| 2|  1|  1| 
+----+---------+---------+ 
| 3|  1|  1| 
+----+---------+---------+ 
| 4|  1| 0.762646| 
+----+---------+---------+ 
| 5|  1| 0.432462| 
+----+---------+---------+ 

END> 
Training until now has taken 0 days 14 hours 38 minutes 28 seconds. 

===== TRAINING 2-stage ===== 
<BEGIN 
POS count : consumed 830 : 830 
NEG count : acceptanceRatio 1799 : 0.062696 
Precalculation time: 28 

+----+---------+---------+ 
| N | HR | FA | 
+----+---------+---------+ 
| 1|  1|  1| 
+----+---------+---------+ 
| 2|  1|  1| 
+----+---------+---------+ 
| 3|  1|  1| 
+----+---------+---------+ 
| 4|  1| 0.590328| 
+----+---------+---------+ 
| 5|  1| 0.187326| 
+----+---------+---------+ 

END> 
Training until now has taken 0 days 23 hours 21 minutes 4 seconds. 

===== TRAINING 3-stage ===== 
<BEGIN 
POS count : consumed 830 : 830 
NEG count : acceptanceRatio 1799 : 0.0117929 
Precalculation time: 21 

+----+---------+---------+ 
| N | HR | FA | 
+----+---------+---------+ 
| 1|  1|  1| 
+----+---------+---------+ 
| 2|  1|  1| 
+----+---------+---------+ 
| 3|  1|0.0944969| 
+----+---------+---------+ 

END> 
Training until now has taken 1 days 3 hours 47 minutes 34 seconds. 

===== TRAINING 4-stage ===== 
<BEGIN 
POS count : consumed 830 : 830 
NEG count : acceptanceRatio 1799 : 0.00112161 
Precalculation time: 18 

+----+---------+---------+ 
| N | HR | FA | 
+----+---------+---------+ 
| 1|  1|  0| 
+----+---------+---------+ 

END> 
Training until now has taken 1 days 5 hours 4 minutes 35 seconds. 

===== TRAINING 5-stage ===== 
<BEGIN 
POS count : consumed 830 : 830 
Train dataset for temp stage can not be filled. Branch training terminated.

我试图使用对象的搜索cascade.xml，但结果却是完全失败。