I'm trying to run opencv_haartraining on Windows 7 x64 and getting this output:
F:\opencv\bin>opencv_haartraining.exe -data HT\cascade -vec HT\positives.vec -bg
HT\negs_full.txt -npos 208 -nneg 2000 -mem 2048 -nonsym -mode ALL -w 56 -h 12
Data dir name: HT\cascade
Vec file name: HT\positives.vec
BG file name: HT\negs_full.txt, is a vecfile: no
Num pos: 208
Num neg: 2000
Num stages: 14
Num splits: 1 (stump as weak classifier)
Mem: 2048 MB
Symmetric: FALSE
Min hit rate: 0.995000
Max false alarm rate: 0.500000
Weight trimming: 0.950000
Equal weights: FALSE
Mode: ALL
Width: 56
Height: 12
Applied boosting algorithm: GAB
Error (valid only for Discrete and Real AdaBoost): misclass
Max number of splits in tree cascade: 0
Min number of positive samples per cluster: 500
Required leaf false alarm rate: 6.10352e-005
Tree Classifier
Stage
+---+
| 0|
+---+
Number of features used : 310730
Parent node: NULL
*** 1 cluster ***
POS: 208 208 1.000000
Invalid background description file.
HT\negs_full.txt contains full pathes to negatives (one per line):
F:\opencv\bin\HT\neg\negative-sample-sliding-000048-color.png
F:\opencv\bin\HT\neg\negative-sample-sliding-000049-color.png
F:\opencv\bin\HT\neg\negative-sample-sliding-000050-color.png
F:\opencv\bin\HT\neg\negative-sample-sliding-000051-color.png
F:\opencv\bin\HT\neg\negative-sample-sliding-000052-color.png
F:\opencv\bin\HT\neg\negative-sample-sliding-000053-color.png
F:\opencv\bin\HT\neg\negative-sample-sliding-000054-color.png
F:\opencv\bin\HT\neg\negative-sample-sliding-000055-color.png
...
At start I've tried to use relative paths - nothing changed.
On Linux it's successfully works with background file like this one. But this machine with Windows is more powerful and I want to use it in training... How do I run it?