Skip to content

O
opencv_contrib
Commit 380e6111 authored by Maksim Shabunin's avatar Maksim Shabunin
Browse files
Options

Doc files reorganized

parent 7d9bbdca
Hide whitespace changes
Inline Side-by-side
Showing with 579 additions and 156 deletions
modules/face/doc/etc/at.txt 100755 → 100644
View file @ 380e6111
File mode changed from 100755 to 100644
modules/face/doc/src/facerec_demo.cpp 100755 → 100644
View file @ 380e6111
File mode changed from 100755 to 100644
modules/face/samples/etc/at.txt 0 → 100755
View file @ 380e6111
/home/philipp/facerec/data/at/s13/2.pgm;12
/home/philipp/facerec/data/at/s13/7.pgm;12
/home/philipp/facerec/data/at/s13/6.pgm;12
/home/philipp/facerec/data/at/s13/9.pgm;12
/home/philipp/facerec/data/at/s13/5.pgm;12
/home/philipp/facerec/data/at/s13/3.pgm;12
/home/philipp/facerec/data/at/s13/4.pgm;12
/home/philipp/facerec/data/at/s13/10.pgm;12
/home/philipp/facerec/data/at/s13/8.pgm;12
/home/philipp/facerec/data/at/s13/1.pgm;12
/home/philipp/facerec/data/at/s17/2.pgm;16
/home/philipp/facerec/data/at/s17/7.pgm;16
/home/philipp/facerec/data/at/s17/6.pgm;16
/home/philipp/facerec/data/at/s17/9.pgm;16
/home/philipp/facerec/data/at/s17/5.pgm;16
/home/philipp/facerec/data/at/s17/3.pgm;16
/home/philipp/facerec/data/at/s17/4.pgm;16
/home/philipp/facerec/data/at/s17/10.pgm;16
/home/philipp/facerec/data/at/s17/8.pgm;16
/home/philipp/facerec/data/at/s17/1.pgm;16
/home/philipp/facerec/data/at/s32/2.pgm;31
/home/philipp/facerec/data/at/s32/7.pgm;31
/home/philipp/facerec/data/at/s32/6.pgm;31
/home/philipp/facerec/data/at/s32/9.pgm;31
/home/philipp/facerec/data/at/s32/5.pgm;31
/home/philipp/facerec/data/at/s32/3.pgm;31
/home/philipp/facerec/data/at/s32/4.pgm;31
/home/philipp/facerec/data/at/s32/10.pgm;31
/home/philipp/facerec/data/at/s32/8.pgm;31
/home/philipp/facerec/data/at/s32/1.pgm;31
/home/philipp/facerec/data/at/s10/2.pgm;9
/home/philipp/facerec/data/at/s10/7.pgm;9
/home/philipp/facerec/data/at/s10/6.pgm;9
/home/philipp/facerec/data/at/s10/9.pgm;9
/home/philipp/facerec/data/at/s10/5.pgm;9
/home/philipp/facerec/data/at/s10/3.pgm;9
/home/philipp/facerec/data/at/s10/4.pgm;9
/home/philipp/facerec/data/at/s10/10.pgm;9
/home/philipp/facerec/data/at/s10/8.pgm;9
/home/philipp/facerec/data/at/s10/1.pgm;9
/home/philipp/facerec/data/at/s27/2.pgm;26
/home/philipp/facerec/data/at/s27/7.pgm;26
/home/philipp/facerec/data/at/s27/6.pgm;26
/home/philipp/facerec/data/at/s27/9.pgm;26
/home/philipp/facerec/data/at/s27/5.pgm;26
/home/philipp/facerec/data/at/s27/3.pgm;26
/home/philipp/facerec/data/at/s27/4.pgm;26
/home/philipp/facerec/data/at/s27/10.pgm;26
/home/philipp/facerec/data/at/s27/8.pgm;26
/home/philipp/facerec/data/at/s27/1.pgm;26
/home/philipp/facerec/data/at/s5/2.pgm;4
/home/philipp/facerec/data/at/s5/7.pgm;4
/home/philipp/facerec/data/at/s5/6.pgm;4
/home/philipp/facerec/data/at/s5/9.pgm;4
/home/philipp/facerec/data/at/s5/5.pgm;4
/home/philipp/facerec/data/at/s5/3.pgm;4
/home/philipp/facerec/data/at/s5/4.pgm;4
/home/philipp/facerec/data/at/s5/10.pgm;4
/home/philipp/facerec/data/at/s5/8.pgm;4
/home/philipp/facerec/data/at/s5/1.pgm;4
/home/philipp/facerec/data/at/s20/2.pgm;19
/home/philipp/facerec/data/at/s20/7.pgm;19
/home/philipp/facerec/data/at/s20/6.pgm;19
/home/philipp/facerec/data/at/s20/9.pgm;19
/home/philipp/facerec/data/at/s20/5.pgm;19
/home/philipp/facerec/data/at/s20/3.pgm;19
/home/philipp/facerec/data/at/s20/4.pgm;19
/home/philipp/facerec/data/at/s20/10.pgm;19
/home/philipp/facerec/data/at/s20/8.pgm;19
/home/philipp/facerec/data/at/s20/1.pgm;19
/home/philipp/facerec/data/at/s30/2.pgm;29
/home/philipp/facerec/data/at/s30/7.pgm;29
/home/philipp/facerec/data/at/s30/6.pgm;29
/home/philipp/facerec/data/at/s30/9.pgm;29
/home/philipp/facerec/data/at/s30/5.pgm;29
/home/philipp/facerec/data/at/s30/3.pgm;29
/home/philipp/facerec/data/at/s30/4.pgm;29
/home/philipp/facerec/data/at/s30/10.pgm;29
/home/philipp/facerec/data/at/s30/8.pgm;29
/home/philipp/facerec/data/at/s30/1.pgm;29
/home/philipp/facerec/data/at/s39/2.pgm;38
/home/philipp/facerec/data/at/s39/7.pgm;38
/home/philipp/facerec/data/at/s39/6.pgm;38
/home/philipp/facerec/data/at/s39/9.pgm;38
/home/philipp/facerec/data/at/s39/5.pgm;38
/home/philipp/facerec/data/at/s39/3.pgm;38
/home/philipp/facerec/data/at/s39/4.pgm;38
/home/philipp/facerec/data/at/s39/10.pgm;38
/home/philipp/facerec/data/at/s39/8.pgm;38
/home/philipp/facerec/data/at/s39/1.pgm;38
/home/philipp/facerec/data/at/s35/2.pgm;34
/home/philipp/facerec/data/at/s35/7.pgm;34
/home/philipp/facerec/data/at/s35/6.pgm;34
/home/philipp/facerec/data/at/s35/9.pgm;34
/home/philipp/facerec/data/at/s35/5.pgm;34
/home/philipp/facerec/data/at/s35/3.pgm;34
/home/philipp/facerec/data/at/s35/4.pgm;34
/home/philipp/facerec/data/at/s35/10.pgm;34
/home/philipp/facerec/data/at/s35/8.pgm;34
/home/philipp/facerec/data/at/s35/1.pgm;34
/home/philipp/facerec/data/at/s23/2.pgm;22
/home/philipp/facerec/data/at/s23/7.pgm;22
/home/philipp/facerec/data/at/s23/6.pgm;22
/home/philipp/facerec/data/at/s23/9.pgm;22
/home/philipp/facerec/data/at/s23/5.pgm;22
/home/philipp/facerec/data/at/s23/3.pgm;22
/home/philipp/facerec/data/at/s23/4.pgm;22
/home/philipp/facerec/data/at/s23/10.pgm;22
/home/philipp/facerec/data/at/s23/8.pgm;22
/home/philipp/facerec/data/at/s23/1.pgm;22
/home/philipp/facerec/data/at/s4/2.pgm;3
/home/philipp/facerec/data/at/s4/7.pgm;3
/home/philipp/facerec/data/at/s4/6.pgm;3
/home/philipp/facerec/data/at/s4/9.pgm;3
/home/philipp/facerec/data/at/s4/5.pgm;3
/home/philipp/facerec/data/at/s4/3.pgm;3
/home/philipp/facerec/data/at/s4/4.pgm;3
/home/philipp/facerec/data/at/s4/10.pgm;3
/home/philipp/facerec/data/at/s4/8.pgm;3
/home/philipp/facerec/data/at/s4/1.pgm;3
/home/philipp/facerec/data/at/s9/2.pgm;8
/home/philipp/facerec/data/at/s9/7.pgm;8
/home/philipp/facerec/data/at/s9/6.pgm;8
/home/philipp/facerec/data/at/s9/9.pgm;8
/home/philipp/facerec/data/at/s9/5.pgm;8
/home/philipp/facerec/data/at/s9/3.pgm;8
/home/philipp/facerec/data/at/s9/4.pgm;8
/home/philipp/facerec/data/at/s9/10.pgm;8
/home/philipp/facerec/data/at/s9/8.pgm;8
/home/philipp/facerec/data/at/s9/1.pgm;8
/home/philipp/facerec/data/at/s37/2.pgm;36
/home/philipp/facerec/data/at/s37/7.pgm;36
/home/philipp/facerec/data/at/s37/6.pgm;36
/home/philipp/facerec/data/at/s37/9.pgm;36
/home/philipp/facerec/data/at/s37/5.pgm;36
/home/philipp/facerec/data/at/s37/3.pgm;36
/home/philipp/facerec/data/at/s37/4.pgm;36
/home/philipp/facerec/data/at/s37/10.pgm;36
/home/philipp/facerec/data/at/s37/8.pgm;36
/home/philipp/facerec/data/at/s37/1.pgm;36
/home/philipp/facerec/data/at/s24/2.pgm;23
/home/philipp/facerec/data/at/s24/7.pgm;23
/home/philipp/facerec/data/at/s24/6.pgm;23
/home/philipp/facerec/data/at/s24/9.pgm;23
/home/philipp/facerec/data/at/s24/5.pgm;23
/home/philipp/facerec/data/at/s24/3.pgm;23
/home/philipp/facerec/data/at/s24/4.pgm;23
/home/philipp/facerec/data/at/s24/10.pgm;23
/home/philipp/facerec/data/at/s24/8.pgm;23
/home/philipp/facerec/data/at/s24/1.pgm;23
/home/philipp/facerec/data/at/s19/2.pgm;18
/home/philipp/facerec/data/at/s19/7.pgm;18
/home/philipp/facerec/data/at/s19/6.pgm;18
/home/philipp/facerec/data/at/s19/9.pgm;18
/home/philipp/facerec/data/at/s19/5.pgm;18
/home/philipp/facerec/data/at/s19/3.pgm;18
/home/philipp/facerec/data/at/s19/4.pgm;18
/home/philipp/facerec/data/at/s19/10.pgm;18
/home/philipp/facerec/data/at/s19/8.pgm;18
/home/philipp/facerec/data/at/s19/1.pgm;18
/home/philipp/facerec/data/at/s8/2.pgm;7
/home/philipp/facerec/data/at/s8/7.pgm;7
/home/philipp/facerec/data/at/s8/6.pgm;7
/home/philipp/facerec/data/at/s8/9.pgm;7
/home/philipp/facerec/data/at/s8/5.pgm;7
/home/philipp/facerec/data/at/s8/3.pgm;7
/home/philipp/facerec/data/at/s8/4.pgm;7
/home/philipp/facerec/data/at/s8/10.pgm;7
/home/philipp/facerec/data/at/s8/8.pgm;7
/home/philipp/facerec/data/at/s8/1.pgm;7
/home/philipp/facerec/data/at/s21/2.pgm;20
/home/philipp/facerec/data/at/s21/7.pgm;20
/home/philipp/facerec/data/at/s21/6.pgm;20
/home/philipp/facerec/data/at/s21/9.pgm;20
/home/philipp/facerec/data/at/s21/5.pgm;20
/home/philipp/facerec/data/at/s21/3.pgm;20
/home/philipp/facerec/data/at/s21/4.pgm;20
/home/philipp/facerec/data/at/s21/10.pgm;20
/home/philipp/facerec/data/at/s21/8.pgm;20
/home/philipp/facerec/data/at/s21/1.pgm;20
/home/philipp/facerec/data/at/s1/2.pgm;0
/home/philipp/facerec/data/at/s1/7.pgm;0
/home/philipp/facerec/data/at/s1/6.pgm;0
/home/philipp/facerec/data/at/s1/9.pgm;0
/home/philipp/facerec/data/at/s1/5.pgm;0
/home/philipp/facerec/data/at/s1/3.pgm;0
/home/philipp/facerec/data/at/s1/4.pgm;0
/home/philipp/facerec/data/at/s1/10.pgm;0
/home/philipp/facerec/data/at/s1/8.pgm;0
/home/philipp/facerec/data/at/s1/1.pgm;0
/home/philipp/facerec/data/at/s7/2.pgm;6
/home/philipp/facerec/data/at/s7/7.pgm;6
/home/philipp/facerec/data/at/s7/6.pgm;6
/home/philipp/facerec/data/at/s7/9.pgm;6
/home/philipp/facerec/data/at/s7/5.pgm;6
/home/philipp/facerec/data/at/s7/3.pgm;6
/home/philipp/facerec/data/at/s7/4.pgm;6
/home/philipp/facerec/data/at/s7/10.pgm;6
/home/philipp/facerec/data/at/s7/8.pgm;6
/home/philipp/facerec/data/at/s7/1.pgm;6
/home/philipp/facerec/data/at/s16/2.pgm;15
/home/philipp/facerec/data/at/s16/7.pgm;15
/home/philipp/facerec/data/at/s16/6.pgm;15
/home/philipp/facerec/data/at/s16/9.pgm;15
/home/philipp/facerec/data/at/s16/5.pgm;15
/home/philipp/facerec/data/at/s16/3.pgm;15
/home/philipp/facerec/data/at/s16/4.pgm;15
/home/philipp/facerec/data/at/s16/10.pgm;15
/home/philipp/facerec/data/at/s16/8.pgm;15
/home/philipp/facerec/data/at/s16/1.pgm;15
/home/philipp/facerec/data/at/s36/2.pgm;35
/home/philipp/facerec/data/at/s36/7.pgm;35
/home/philipp/facerec/data/at/s36/6.pgm;35
/home/philipp/facerec/data/at/s36/9.pgm;35
/home/philipp/facerec/data/at/s36/5.pgm;35
/home/philipp/facerec/data/at/s36/3.pgm;35
/home/philipp/facerec/data/at/s36/4.pgm;35
/home/philipp/facerec/data/at/s36/10.pgm;35
/home/philipp/facerec/data/at/s36/8.pgm;35
/home/philipp/facerec/data/at/s36/1.pgm;35
/home/philipp/facerec/data/at/s25/2.pgm;24
/home/philipp/facerec/data/at/s25/7.pgm;24
/home/philipp/facerec/data/at/s25/6.pgm;24
/home/philipp/facerec/data/at/s25/9.pgm;24
/home/philipp/facerec/data/at/s25/5.pgm;24
/home/philipp/facerec/data/at/s25/3.pgm;24
/home/philipp/facerec/data/at/s25/4.pgm;24
/home/philipp/facerec/data/at/s25/10.pgm;24
/home/philipp/facerec/data/at/s25/8.pgm;24
/home/philipp/facerec/data/at/s25/1.pgm;24
/home/philipp/facerec/data/at/s14/2.pgm;13
/home/philipp/facerec/data/at/s14/7.pgm;13
/home/philipp/facerec/data/at/s14/6.pgm;13
/home/philipp/facerec/data/at/s14/9.pgm;13
/home/philipp/facerec/data/at/s14/5.pgm;13
/home/philipp/facerec/data/at/s14/3.pgm;13
/home/philipp/facerec/data/at/s14/4.pgm;13
/home/philipp/facerec/data/at/s14/10.pgm;13
/home/philipp/facerec/data/at/s14/8.pgm;13
/home/philipp/facerec/data/at/s14/1.pgm;13
/home/philipp/facerec/data/at/s34/2.pgm;33
/home/philipp/facerec/data/at/s34/7.pgm;33
/home/philipp/facerec/data/at/s34/6.pgm;33
/home/philipp/facerec/data/at/s34/9.pgm;33
/home/philipp/facerec/data/at/s34/5.pgm;33
/home/philipp/facerec/data/at/s34/3.pgm;33
/home/philipp/facerec/data/at/s34/4.pgm;33
/home/philipp/facerec/data/at/s34/10.pgm;33
/home/philipp/facerec/data/at/s34/8.pgm;33
/home/philipp/facerec/data/at/s34/1.pgm;33
/home/philipp/facerec/data/at/s11/2.pgm;10
/home/philipp/facerec/data/at/s11/7.pgm;10
/home/philipp/facerec/data/at/s11/6.pgm;10
/home/philipp/facerec/data/at/s11/9.pgm;10
/home/philipp/facerec/data/at/s11/5.pgm;10
/home/philipp/facerec/data/at/s11/3.pgm;10
/home/philipp/facerec/data/at/s11/4.pgm;10
/home/philipp/facerec/data/at/s11/10.pgm;10
/home/philipp/facerec/data/at/s11/8.pgm;10
/home/philipp/facerec/data/at/s11/1.pgm;10
/home/philipp/facerec/data/at/s26/2.pgm;25
/home/philipp/facerec/data/at/s26/7.pgm;25
/home/philipp/facerec/data/at/s26/6.pgm;25
/home/philipp/facerec/data/at/s26/9.pgm;25
/home/philipp/facerec/data/at/s26/5.pgm;25
/home/philipp/facerec/data/at/s26/3.pgm;25
/home/philipp/facerec/data/at/s26/4.pgm;25
/home/philipp/facerec/data/at/s26/10.pgm;25
/home/philipp/facerec/data/at/s26/8.pgm;25
/home/philipp/facerec/data/at/s26/1.pgm;25
/home/philipp/facerec/data/at/s18/2.pgm;17
/home/philipp/facerec/data/at/s18/7.pgm;17
/home/philipp/facerec/data/at/s18/6.pgm;17
/home/philipp/facerec/data/at/s18/9.pgm;17
/home/philipp/facerec/data/at/s18/5.pgm;17
/home/philipp/facerec/data/at/s18/3.pgm;17
/home/philipp/facerec/data/at/s18/4.pgm;17
/home/philipp/facerec/data/at/s18/10.pgm;17
/home/philipp/facerec/data/at/s18/8.pgm;17
/home/philipp/facerec/data/at/s18/1.pgm;17
/home/philipp/facerec/data/at/s29/2.pgm;28
/home/philipp/facerec/data/at/s29/7.pgm;28
/home/philipp/facerec/data/at/s29/6.pgm;28
/home/philipp/facerec/data/at/s29/9.pgm;28
/home/philipp/facerec/data/at/s29/5.pgm;28
/home/philipp/facerec/data/at/s29/3.pgm;28
/home/philipp/facerec/data/at/s29/4.pgm;28
/home/philipp/facerec/data/at/s29/10.pgm;28
/home/philipp/facerec/data/at/s29/8.pgm;28
/home/philipp/facerec/data/at/s29/1.pgm;28
/home/philipp/facerec/data/at/s33/2.pgm;32
/home/philipp/facerec/data/at/s33/7.pgm;32
/home/philipp/facerec/data/at/s33/6.pgm;32
/home/philipp/facerec/data/at/s33/9.pgm;32
/home/philipp/facerec/data/at/s33/5.pgm;32
/home/philipp/facerec/data/at/s33/3.pgm;32
/home/philipp/facerec/data/at/s33/4.pgm;32
/home/philipp/facerec/data/at/s33/10.pgm;32
/home/philipp/facerec/data/at/s33/8.pgm;32
/home/philipp/facerec/data/at/s33/1.pgm;32
/home/philipp/facerec/data/at/s12/2.pgm;11
/home/philipp/facerec/data/at/s12/7.pgm;11
/home/philipp/facerec/data/at/s12/6.pgm;11
/home/philipp/facerec/data/at/s12/9.pgm;11
/home/philipp/facerec/data/at/s12/5.pgm;11
/home/philipp/facerec/data/at/s12/3.pgm;11
/home/philipp/facerec/data/at/s12/4.pgm;11
/home/philipp/facerec/data/at/s12/10.pgm;11
/home/philipp/facerec/data/at/s12/8.pgm;11
/home/philipp/facerec/data/at/s12/1.pgm;11
/home/philipp/facerec/data/at/s6/2.pgm;5
/home/philipp/facerec/data/at/s6/7.pgm;5
/home/philipp/facerec/data/at/s6/6.pgm;5
/home/philipp/facerec/data/at/s6/9.pgm;5
/home/philipp/facerec/data/at/s6/5.pgm;5
/home/philipp/facerec/data/at/s6/3.pgm;5
/home/philipp/facerec/data/at/s6/4.pgm;5
/home/philipp/facerec/data/at/s6/10.pgm;5
/home/philipp/facerec/data/at/s6/8.pgm;5
/home/philipp/facerec/data/at/s6/1.pgm;5
/home/philipp/facerec/data/at/s22/2.pgm;21
/home/philipp/facerec/data/at/s22/7.pgm;21
/home/philipp/facerec/data/at/s22/6.pgm;21
/home/philipp/facerec/data/at/s22/9.pgm;21
/home/philipp/facerec/data/at/s22/5.pgm;21
/home/philipp/facerec/data/at/s22/3.pgm;21
/home/philipp/facerec/data/at/s22/4.pgm;21
/home/philipp/facerec/data/at/s22/10.pgm;21
/home/philipp/facerec/data/at/s22/8.pgm;21
/home/philipp/facerec/data/at/s22/1.pgm;21
/home/philipp/facerec/data/at/s15/2.pgm;14
/home/philipp/facerec/data/at/s15/7.pgm;14
/home/philipp/facerec/data/at/s15/6.pgm;14
/home/philipp/facerec/data/at/s15/9.pgm;14
/home/philipp/facerec/data/at/s15/5.pgm;14
/home/philipp/facerec/data/at/s15/3.pgm;14
/home/philipp/facerec/data/at/s15/4.pgm;14
/home/philipp/facerec/data/at/s15/10.pgm;14
/home/philipp/facerec/data/at/s15/8.pgm;14
/home/philipp/facerec/data/at/s15/1.pgm;14
/home/philipp/facerec/data/at/s2/2.pgm;1
/home/philipp/facerec/data/at/s2/7.pgm;1
/home/philipp/facerec/data/at/s2/6.pgm;1
/home/philipp/facerec/data/at/s2/9.pgm;1
/home/philipp/facerec/data/at/s2/5.pgm;1
/home/philipp/facerec/data/at/s2/3.pgm;1
/home/philipp/facerec/data/at/s2/4.pgm;1
/home/philipp/facerec/data/at/s2/10.pgm;1
/home/philipp/facerec/data/at/s2/8.pgm;1
/home/philipp/facerec/data/at/s2/1.pgm;1
/home/philipp/facerec/data/at/s31/2.pgm;30
/home/philipp/facerec/data/at/s31/7.pgm;30
/home/philipp/facerec/data/at/s31/6.pgm;30
/home/philipp/facerec/data/at/s31/9.pgm;30
/home/philipp/facerec/data/at/s31/5.pgm;30
/home/philipp/facerec/data/at/s31/3.pgm;30
/home/philipp/facerec/data/at/s31/4.pgm;30
/home/philipp/facerec/data/at/s31/10.pgm;30
/home/philipp/facerec/data/at/s31/8.pgm;30
/home/philipp/facerec/data/at/s31/1.pgm;30
/home/philipp/facerec/data/at/s28/2.pgm;27
/home/philipp/facerec/data/at/s28/7.pgm;27
/home/philipp/facerec/data/at/s28/6.pgm;27
/home/philipp/facerec/data/at/s28/9.pgm;27
/home/philipp/facerec/data/at/s28/5.pgm;27
/home/philipp/facerec/data/at/s28/3.pgm;27
/home/philipp/facerec/data/at/s28/4.pgm;27
/home/philipp/facerec/data/at/s28/10.pgm;27
/home/philipp/facerec/data/at/s28/8.pgm;27
/home/philipp/facerec/data/at/s28/1.pgm;27
/home/philipp/facerec/data/at/s40/2.pgm;39
/home/philipp/facerec/data/at/s40/7.pgm;39
/home/philipp/facerec/data/at/s40/6.pgm;39
/home/philipp/facerec/data/at/s40/9.pgm;39
/home/philipp/facerec/data/at/s40/5.pgm;39
/home/philipp/facerec/data/at/s40/3.pgm;39
/home/philipp/facerec/data/at/s40/4.pgm;39
/home/philipp/facerec/data/at/s40/10.pgm;39
/home/philipp/facerec/data/at/s40/8.pgm;39
/home/philipp/facerec/data/at/s40/1.pgm;39
/home/philipp/facerec/data/at/s3/2.pgm;2
/home/philipp/facerec/data/at/s3/7.pgm;2
/home/philipp/facerec/data/at/s3/6.pgm;2
/home/philipp/facerec/data/at/s3/9.pgm;2
/home/philipp/facerec/data/at/s3/5.pgm;2
/home/philipp/facerec/data/at/s3/3.pgm;2
/home/philipp/facerec/data/at/s3/4.pgm;2
/home/philipp/facerec/data/at/s3/10.pgm;2
/home/philipp/facerec/data/at/s3/8.pgm;2
/home/philipp/facerec/data/at/s3/1.pgm;2
/home/philipp/facerec/data/at/s38/2.pgm;37
/home/philipp/facerec/data/at/s38/7.pgm;37
/home/philipp/facerec/data/at/s38/6.pgm;37
/home/philipp/facerec/data/at/s38/9.pgm;37
/home/philipp/facerec/data/at/s38/5.pgm;37
/home/philipp/facerec/data/at/s38/3.pgm;37
/home/philipp/facerec/data/at/s38/4.pgm;37
/home/philipp/facerec/data/at/s38/10.pgm;37
/home/philipp/facerec/data/at/s38/8.pgm;37
/home/philipp/facerec/data/at/s38/1.pgm;37
modules/face/samples/src/facerec_demo.cpp 0 → 100755
View file @ 380e6111
/*
* Copyright (c) 2011. Philipp Wagner <bytefish[at]gmx[dot]de>.
* Released to public domain under terms of the BSD Simplified license.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of the organization nor the names of its contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* See <http://www.opensource.org/licenses/bsd-license>
*/
#include "opencv2/core.hpp"
#include "opencv2/face.hpp"
#include "opencv2/highgui.hpp"
#include <iostream>
#include <fstream>
#include <sstream>
using namespace cv;
using namespace cv::face;
using namespace std;
static Mat norm_0_255(InputArray _src) {
Mat src = _src.getMat();
// Create and return normalized image:
Mat dst;
switch(src.channels()) {
case 1:
cv::normalize(_src, dst, 0, 255, NORM_MINMAX, CV_8UC1);
break;
case 3:
cv::normalize(_src, dst, 0, 255, NORM_MINMAX, CV_8UC3);
break;
default:
src.copyTo(dst);
break;
}
return dst;
}
static void read_csv(const string& filename, vector<Mat>& images, vector<int>& labels, char separator = ';') {
std::ifstream file(filename.c_str(), ifstream::in);
if (!file) {
string error_message = "No valid input file was given, please check the given filename.";
CV_Error(CV_StsBadArg, error_message);
}
string line, path, classlabel;
while (getline(file, line)) {
stringstream liness(line);
getline(liness, path, separator);
getline(liness, classlabel);
if(!path.empty() && !classlabel.empty()) {
images.push_back(imread(path, 0));
labels.push_back(atoi(classlabel.c_str()));
}
}
}
int main(int argc, const char *argv[]) {
// Check for valid command line arguments, print usage
// if no arguments were given.
if (argc != 2) {
cout << "usage: " << argv[0] << " <csv.ext>" << endl;
exit(1);
}
// Get the path to your CSV.
string fn_csv = string(argv[1]);
// These vectors hold the images and corresponding labels.
vector<Mat> images;
vector<int> labels;
// Read in the data. This can fail if no valid
// input filename is given.
try {
read_csv(fn_csv, images, labels);
} catch (cv::Exception& e) {
cerr << "Error opening file \"" << fn_csv << "\". Reason: " << e.msg << endl;
// nothing more we can do
exit(1);
}
// Quit if there are not enough images for this demo.
if(images.size() <= 1) {
string error_message = "This demo needs at least 2 images to work. Please add more images to your data set!";
CV_Error(CV_StsError, error_message);
}
// Get the height from the first image. We'll need this
// later in code to reshape the images to their original
// size:
int height = images[0].rows;
// The following lines simply get the last images from
// your dataset and remove it from the vector. This is
// done, so that the training data (which we learn the
// cv::FaceRecognizer on) and the test data we test
// the model with, do not overlap.
Mat testSample = images[images.size() - 1];
int testLabel = labels[labels.size() - 1];
images.pop_back();
labels.pop_back();
// The following lines create an Eigenfaces model for
// face recognition and train it with the images and
// labels read from the given CSV file.
// This here is a full PCA, if you just want to keep
// 10 principal components (read Eigenfaces), then call
// the factory method like this:
//
// cv::createEigenFaceRecognizer(10);
//
// If you want to create a FaceRecognizer with a
// confidennce threshold, call it with:
//
// cv::createEigenFaceRecognizer(10, 123.0);
//
Ptr<FaceRecognizer> model = createFisherFaceRecognizer();
model->train(images, labels);
// The following line predicts the label of a given
// test image:
int predictedLabel = model->predict(testSample);
//
// To get the confidence of a prediction call the model with:
//
// int predictedLabel = -1;
// double confidence = 0.0;
// model->predict(testSample, predictedLabel, confidence);
//
string result_message = format("Predicted class = %d / Actual class = %d.", predictedLabel, testLabel);
cout << result_message << endl;
// Sometimes you'll need to get/set internal model data,
// which isn't exposed by the public cv::FaceRecognizer.
// Since each cv::FaceRecognizer is derived from a
// cv::Algorithm, you can query the data.
//
// First we'll use it to set the threshold of the FaceRecognizer
// to 0.0 without retraining the model. This can be useful if
// you are evaluating the model:
//
model->set("threshold", 0.0);
// Now the threshold of this model is set to 0.0. A prediction
// now returns -1, as it's impossible to have a distance below
// it
predictedLabel = model->predict(testSample);
cout << "Predicted class = " << predictedLabel << endl;
// Here is how to get the eigenvalues of this Eigenfaces model:
Mat eigenvalues = model->getMat("eigenvalues");
// And we can do the same to display the Eigenvectors (read Eigenfaces):
Mat W = model->getMat("eigenvectors");
// From this we will display the (at most) first 10 Eigenfaces:
for (int i = 0; i < min(10, W.cols); i++) {
string msg = format("Eigenvalue #%d = %.5f", i, eigenvalues.at<double>(i));
cout << msg << endl;
// get eigenvector #i
Mat ev = W.col(i).clone();
// Reshape to original size & normalize to [0...255] for imshow.
Mat grayscale = norm_0_255(ev.reshape(1, height));
// Show the image & apply a Jet colormap for better sensing.
Mat cgrayscale;
applyColorMap(grayscale, cgrayscale, COLORMAP_JET);
imshow(format("%d", i), cgrayscale);
}
waitKey(0);
return 0;
}
modules/face/tutorials/face_tutorial.markdown
View file @ 380e6111
......@@ -658,7 +658,7 @@ at/s17/3.pgm;1
Here is the script, if you can't find it:
@verbinclude face/doc/src/create_csv.py
@verbinclude face/samples/src/create_csv.py
### Aligning Face Images {#tutorial_face_appendix_align}
......@@ -677,7 +677,7 @@ where:
If you are using the same *offset_pct* and *dest_sz* for your images, they are all aligned at the
eyes.
@verbinclude face/doc/src/crop_face.py
@verbinclude face/samples/src/crop_face.py
Imagine we are given [this photo of Arnold
Schwarzenegger](http://en.wikipedia.org/wiki/File:Arnold_Schwarzenegger_edit%28ws%29.jpg), which is
......@@ -689,11 +689,11 @@ Here are some examples:
Configuration | Cropped, Scaled, Rotated Face
--------------------------------|------------------------------------------------------------------
0.1 (10%), 0.1 (10%), (200,200) | ![](tutorial/gender_classification/arnie_10_10_200_200.jpg)
0.2 (20%), 0.2 (20%), (200,200) | ![](tutorial/gender_classification/arnie_20_20_200_200.jpg)
0.3 (30%), 0.3 (30%), (200,200) | ![](tutorial/gender_classification/arnie_30_30_200_200.jpg)
0.2 (20%), 0.2 (20%), (70,70) | ![](tutorial/gender_classification/arnie_20_20_70_70.jpg)
0.1 (10%), 0.1 (10%), (200,200) | ![](tutorials/gender_classification/arnie_10_10_200_200.jpg)
0.2 (20%), 0.2 (20%), (200,200) | ![](tutorials/gender_classification/arnie_20_20_200_200.jpg)
0.3 (30%), 0.3 (30%), (200,200) | ![](tutorials/gender_classification/arnie_30_30_200_200.jpg)
0.2 (20%), 0.2 (20%), (70,70) | ![](tutorials/gender_classification/arnie_20_20_70_70.jpg)
### CSV for the AT&T Facedatabase {#tutorial_face_appendix_attcsv}
@verbinclude face/doc/etc/at.txt
@verbinclude face/samples/etc/at.txt
modules/surface_matching/doc/surface_matching/src/ppf_load_match.cpp deleted 100644 → 0
View file @ 7d9bbdca
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2014, OpenCV Foundation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
// Author: Tolga Birdal <tbirdal AT gmail.com>
#include "opencv2/surface_matching.hpp"
#include <iostream>
#include "opencv2/surface_matching/ppf_helpers.hpp"
#include "opencv2/core/utility.hpp"
using namespace std;
using namespace cv;
using namespace ppf_match_3d;
static void help(const string& errorMessage)
{
cout << "Program init error : "<< errorMessage << endl;
cout << "\nUsage : ppf_matching [input model file] [input scene file]"<< endl;
cout << "\nPlease start again with new parameters"<< endl;
}
int main(int argc, char** argv)
{
// welcome message
cout << "****************************************************" << endl;
cout << "* Surface Matching demonstration : demonstrates the use of surface matching"
" using point pair features." << endl;
cout << "* The sample loads a model and a scene, where the model lies in a different"
" pose than the training.\n* It then trains the model and searches for it in the"
" input scene. The detected poses are further refined by ICP\n* and printed to the "
" standard output." << endl;
cout << "****************************************************" << endl;
if (argc < 3)
{
help("Not enough input arguments");
exit(1);
}
#if (defined __x86_64__ || defined _M_X64)
cout << "Running on 64 bits" << endl;
#else
cout << "Running on 32 bits" << endl;
#endif
#ifdef _OPENMP
cout << "Running with OpenMP" << endl;
#else
cout << "Running without OpenMP and without TBB" << endl;
#endif
string modelFileName = (string)argv[1];
string sceneFileName = (string)argv[2];
Mat pc = loadPLYSimple(modelFileName.c_str(), 1);
// Now train the model
cout << "Training..." << endl;
int64 tick1 = cv::getTickCount();
ppf_match_3d::PPF3DDetector detector(0.025, 0.05);
detector.trainModel(pc);
int64 tick2 = cv::getTickCount();
cout << endl << "Training complete in "
<< (double)(tick2-tick1)/ cv::getTickFrequency()
<< " sec" << endl << "Loading model..." << endl;
// Read the scene
Mat pcTest = loadPLYSimple(sceneFileName.c_str(), 1);
// Match the model to the scene and get the pose
cout << endl << "Starting matching..." << endl;
vector<Pose3DPtr> results;
tick1 = cv::getTickCount();
detector.match(pcTest, results, 1.0/40.0, 0.05);
tick2 = cv::getTickCount();
cout << endl << "PPF Elapsed Time " <<
(tick2-tick1)/cv::getTickFrequency() << " sec" << endl;
// Get only first N results
int N = 2;
vector<Pose3DPtr> resultsSub(results.begin(),results.begin()+N);
// Create an instance of ICP
ICP icp(100, 0.005f, 2.5f, 8);
int64 t1 = cv::getTickCount();
// Register for all selected poses
cout << endl << "Performing ICP on " << N << " poses..." << endl;
icp.registerModelToScene(pc, pcTest, resultsSub);
int64 t2 = cv::getTickCount();
cout << endl << "ICP Elapsed Time " <<
(t2-t1)/cv::getTickFrequency() << " sec" << endl;
cout << "Poses: " << endl;
// debug first five poses
for (size_t i=0; i<resultsSub.size(); i++)
{
Pose3DPtr result = resultsSub[i];
cout << "Pose Result " << i << endl;
result->printPose();
if (i==0)
{
Mat pct = transformPCPose(pc, result->pose);
writePLY(pct, "para6700PCTrans.ply");
}
}
return 0;
}
modules/surface_matching/include/opencv2/surface_matching.hpp
View file @ 380e6111
......@@ -111,7 +111,7 @@ point sampling, I will be leaving that aside now in order to respect the general
methods (Typically for such algorithms training on a CAD model is not needed, and a point cloud
would be sufficient). Below is the outline of the entire algorithm:
![Outline of the Algorithm](surface_matching/pics/outline.jpg)
![Outline of the Algorithm](img/outline.jpg)
As explained, the algorithm relies on the extraction and indexing of point pair features, which are
defined as follows:
......@@ -337,11 +337,11 @@ Results
This section is dedicated to the results of surface matching (point-pair-feature matching and a
following ICP refinement):
![Several matches of a single frog model using ppf + icp](surface_matching/pics/gsoc_forg_matches.jpg)
![Several matches of a single frog model using ppf + icp](img/gsoc_forg_matches.jpg)
Matches of different models for Mian dataset is presented below:
![Matches of different models for Mian dataset](surface_matching/pics/snapshot27.jpg)
![Matches of different models for Mian dataset](img/snapshot27.jpg)
You might checkout the video on [youTube here](http://www.youtube.com/watch?v=uFnqLFznuZU).
......
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment