Nesne algılaması için opencv_traincascade kullanıyorum. Fotoğrafta gözlük bulmaya çalışıyorum. Bunun için şu 830 tane fotoğrafı indirdim: http://pi1.lmcdn.ru/product/V/I/VI060DWIHZ27_1_v2.jpg1 günlük hesaplamadan sonra OpenCV istisnası
Daha sonra elbiselerle modelli birçok fotoğraf indirdim ya da sadece 1799 fotoğrafını çektim. Sonra
Ben ettik parametrelerle opencv_traincascade başlatın: opencv_traincascade yüzeyi kurulan Özellik/sınıflandırıcı -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
Ancak 4. adımdan sonra, bir mesajım var: Geçici sahne için tren veri kümesi doldurulamıyor. Şube eğitimi sonlandırıldı.
tam StackTrace geçerli:
➜ 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.
Ben nesne arama için cascade.xml kullanmaya çalıştı ama sonuç tamamen başarısız oldu.
sınıflandırmak için: baş + güneş gözlüğü ve negatif: Eğer pozitif ve negatif antrenman görüntüleri (pozitif toplamak gerekir: img örneğinizde sadece görüntüde sadece güneş gözlüğü var –
bg.txt Windows'da oluşturuldu mu? –