opencv - OpenCV级联训练快速，失败:实现了所需的叶子错误警报率。分支机构培训终止

Question

我正在从单个正像positive.jpg生成样本。 bg.txt文件中大约有4000个否定文件路径。负片图像文件为100x100。 positive.jpg图片为50x50。

opencv_createsamples -img positive.jpg -bg bg.txt -info info/info.lst -maxxangle 0.5 -maxyangle 0.5 -maxzangle 0.5 -num 1950
opencv_createsamples -info info/info.lst -num 1950 -w 20 -h 20 -vec positives.vec
opencv_traincascade -data data -vec positives.vec -bg bg.txt -numPos 1800 -numNeg 900 -numStages 10 -w 20 -h 20

这是训练的输出:

===== TRAINING 0-stage =====
<BEGIN
POS count : consumed   1800 : 1800
NEG count : acceptanceRatio    900 : 1
Precalculation time: 4
+----+---------+---------+
|  N |    HR   |    FA   |
+----+---------+---------+
|   1|        1|        1|
+----+---------+---------+
|   2|        1|        1|
+----+---------+---------+
|   3| 0.996667| 0.393333|
+----+---------+---------+
END>
Training until now has taken 0 days 0 hours 0 minutes 14 seconds.

===== TRAINING 1-stage =====
<BEGIN
POS count : consumed   1800 : 1806
NEG count : acceptanceRatio    900 : 0.318923
Precalculation time: 4
+----+---------+---------+
|  N |    HR   |    FA   |
+----+---------+---------+
|   1|        1|        1|
+----+---------+---------+
|   2|        1|        1|
+----+---------+---------+
|   3| 0.997222| 0.216667|
+----+---------+---------+
END>
Training until now has taken 0 days 0 hours 0 minutes 29 seconds.

===== TRAINING 2-stage =====
<BEGIN
POS count : consumed   1800 : 1811
NEG count : acceptanceRatio    900 : 0.111857
Precalculation time: 4
+----+---------+---------+
|  N |    HR   |    FA   |
+----+---------+---------+
|   1|        1|        1|
+----+---------+---------+
|   2|        1|        1|
+----+---------+---------+
|   3| 0.996667| 0.381111|
+----+---------+---------+
END>
Training until now has taken 0 days 0 hours 0 minutes 44 seconds.

===== TRAINING 3-stage =====
<BEGIN
POS count : consumed   1800 : 1817
NEG count : acceptanceRatio    900 : 0.0552418
Precalculation time: 4
+----+---------+---------+
|  N |    HR   |    FA   |
+----+---------+---------+
|   1|        1|        1|
+----+---------+---------+
|   2|        1|        1|
+----+---------+---------+
|   3| 0.997778| 0.165556|
+----+---------+---------+
END>
Training until now has taken 0 days 0 hours 0 minutes 59 seconds.

===== TRAINING 4-stage =====
<BEGIN
POS count : consumed   1800 : 1821
NEG count : acceptanceRatio    900 : 0.00951797
Precalculation time: 4
+----+---------+---------+
|  N |    HR   |    FA   |
+----+---------+---------+
|   1|        1|        1|
+----+---------+---------+
|   2|        1|        1|
+----+---------+---------+
|   3| 0.997222| 0.482222|
+----+---------+---------+
END>
Training until now has taken 0 days 0 hours 1 minutes 15 seconds.

===== TRAINING 5-stage =====
<BEGIN
POS count : consumed   1800 : 1826
NEG count : acceptanceRatio    900 : 0.00523308
Precalculation time: 4
+----+---------+---------+
|  N |    HR   |    FA   |
+----+---------+---------+
|   1| 0.996667| 0.435556|
+----+---------+---------+
END>
Training until now has taken 0 days 0 hours 1 minutes 23 seconds.

===== TRAINING 6-stage =====
<BEGIN
POS count : consumed   1800 : 1832
NEG count : acceptanceRatio    900 : 0.00389186
Precalculation time: 4
+----+---------+---------+
|  N |    HR   |    FA   |
+----+---------+---------+
|   1|        1|        1|
+----+---------+---------+
|   2| 0.997778| 0.493333|
+----+---------+---------+
END>
Training until now has taken 0 days 0 hours 1 minutes 35 seconds.

===== TRAINING 7-stage =====
<BEGIN
POS count : consumed   1800 : 1836
NEG count : acceptanceRatio    900 : 0.00280947
Precalculation time: 4
+----+---------+---------+
|  N |    HR   |    FA   |
+----+---------+---------+
|   1| 0.998333| 0.433333|
+----+---------+---------+
END>
Training until now has taken 0 days 0 hours 1 minutes 44 seconds.

===== TRAINING 8-stage =====
<BEGIN
POS count : consumed   1800 : 1839
NEG count : acceptanceRatio    4 : 0.00078125
Required leaf false alarm rate achieved. Branch training terminated.

Answer 1

这意味着您的分类器在8个阶段后已经具有小于0.5 ^ 10的错误警报率，这是您选择的目标=>训练成功完成(0.00078125 <0.0009765625)

但是可能没有足够的否定样本。尝试获取更多/不同的样本。在第9阶段只能收集4个底片。