--- /srv/reproducible-results/rbuild-debian/r-b-build.4t6qG3uz/b1/vlfeat_0.9.21+full-2.1_amd64.changes +++ /srv/reproducible-results/rbuild-debian/r-b-build.4t6qG3uz/b2/vlfeat_0.9.21+full-2.1_amd64.changes ├── Files │ @@ -1,6 +1,6 @@ │ │ 44eb4c2c3a7311c2892c7211bdb00e78 39940 libdevel optional libvlfeat-dev_0.9.21+full-2.1_amd64.deb │ - 1a8f8da43924a4d4d3b0e445e5d9fb9f 1732400 doc optional libvlfeat-doc_0.9.21+full-2.1_all.deb │ + a177bec5cc5e49a8bb9b2678b5bac5be 1732356 doc optional libvlfeat-doc_0.9.21+full-2.1_all.deb │ a93c63913d234547955b96ef1f348491 412372 debug optional libvlfeat1t64-dbgsym_0.9.21+full-2.1_amd64.deb │ f559eae466600ecf4ece7ec218d72ac1 156936 libs optional libvlfeat1t64_0.9.21+full-2.1_amd64.deb │ 1667f7fa12f2d761e2293a0b4c7ff412 1604580 libs optional octave-vlfeat_0.9.21+full-2.1_amd64.deb ├── libvlfeat-doc_0.9.21+full-2.1_all.deb │ ├── file list │ │ @@ -1,3 +1,3 @@ │ │ -rw-r--r-- 0 0 0 4 2024-02-28 23:17:05.000000 debian-binary │ │ --rw-r--r-- 0 0 0 15212 2024-02-28 23:17:05.000000 control.tar.xz │ │ --rw-r--r-- 0 0 0 1716996 2024-02-28 23:17:05.000000 data.tar.xz │ │ +-rw-r--r-- 0 0 0 15200 2024-02-28 23:17:05.000000 control.tar.xz │ │ +-rw-r--r-- 0 0 0 1716964 2024-02-28 23:17:05.000000 data.tar.xz │ ├── control.tar.xz │ │ ├── control.tar │ │ │ ├── ./md5sums │ │ │ │ ├── ./md5sums │ │ │ │ │┄ Files differ │ │ ├── xz --list │ │ │ @@ -1,13 +1,13 @@ │ │ │ Streams: 1 │ │ │ Blocks: 1 │ │ │ - Compressed size: 14.9 KiB (15212 B) │ │ │ + Compressed size: 14.8 KiB (15200 B) │ │ │ Uncompressed size: 60.0 KiB (61440 B) │ │ │ - Ratio: 0.248 │ │ │ + Ratio: 0.247 │ │ │ Check: CRC64 │ │ │ Stream Padding: 0 B │ │ │ Streams: │ │ │ Stream Blocks CompOffset UncompOffset CompSize UncompSize Ratio Check Padding │ │ │ - 1 1 0 0 15212 61440 0.248 CRC64 0 │ │ │ + 1 1 0 0 15200 61440 0.247 CRC64 0 │ │ │ Blocks: │ │ │ Stream Block CompOffset UncompOffset TotalSize UncompSize Ratio Check │ │ │ - 1 1 12 0 15176 61440 0.247 CRC64 │ │ │ + 1 1 12 0 15164 61440 0.247 CRC64 │ ├── data.tar.xz │ │ ├── data.tar │ │ │ ├── file list │ │ │ │ @@ -449,53 +449,53 @@ │ │ │ │ -rw-r--r-- 0 root (0) root (0) 8563 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/demo/vl_demo_sift_or.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 11081 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/demo/vl_demo_sift_peak.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 20884 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/demo/vl_demo_sift_vs_ubc.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 13230 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/demo/vl_demo_slic.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 10940 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/demo/vl_demo_svm.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 1200 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/helptoc.xml.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 13825 2024-02-28 23:17:05.000000 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2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_erfill.html │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 2973 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_dwaffine.html │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 3117 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_erfill.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3077 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_ertr.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 2997 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_figaspect.html │ │ │ │ --rw-r--r-- 0 root (0) root (0) 4321 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_fisher.html │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 4315 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_fisher.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 2998 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_flatmap.html │ │ │ │ -rw-r--r-- 0 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./usr/share/doc/libvlfeat-dev/doc/matlab/vl_hog.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 5249 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_homkermap.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3040 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_ihashfind.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 4833 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_ihashsum.html │ │ │ │ @@ -519,22 +519,22 @@ │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3603 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_imwbackward.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3285 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_imwhiten.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3837 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_inthist.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3446 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_irodr.html │ │ │ │ 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2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_rgb2xyz.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 8220 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_roc.html │ │ │ │ --rw-r--r-- 0 root (0) root (0) 3427 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_rodr.html │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 3426 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_rodr.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 2848 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_root.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3477 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_sampleinthist.html │ │ │ │ --rw-r--r-- 0 root (0) root (0) 3370 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_setup.html │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 3371 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_setup.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 5407 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_sift.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 4796 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_siftdescriptor.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3295 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_sigmoid.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3032 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_simdctrl.html │ │ │ │ --rw-r--r-- 0 root (0) root (0) 3882 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_slic.html │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 3883 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_slic.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3610 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_svmdataset.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 2794 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_svmpegasos.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 8592 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_svmtrain.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3146 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_threads.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 4310 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_tightsubplot.html │ │ │ │ --rw-r--r-- 0 root (0) root (0) 2989 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_tpfp.html │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 2986 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_tpfp.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3423 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_tps.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3341 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_tpsu.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3898 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_twister.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3790 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_ubcmatch.html │ │ │ │ --rw-r--r-- 0 root (0) root (0) 3146 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_ubcread.html │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 3143 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_ubcread.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3014 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_version.html │ │ │ │ --rw-r--r-- 0 root (0) root (0) 4392 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_vlad.html │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 4397 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_vlad.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3088 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_waffine.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 2913 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_whistc.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3197 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_witps.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3633 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_wtps.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3355 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_xmkdir.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3031 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_xyz2lab.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3102 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_xyz2luv.html │ │ │ │ --rw-r--r-- 0 root (0) root (0) 3115 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_xyz2rgb.html │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 3114 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_xyz2rgb.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 2470 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/notfound.html │ │ │ │ drwxr-xr-x 0 root (0) root (0) 0 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/overview/ │ │ │ │ -rw-r--r-- 0 root (0) root (0) 7331 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/overview/aib.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 25915 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/overview/covdet.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 10504 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/overview/dsift.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 10293 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/overview/encodings.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 14963 2024-02-28 23:17:05.000000 ./usr/share/doc/libvlfeat-dev/doc/overview/frame.html │ │ │ ├── ./usr/share/doc/libvlfeat-dev/doc/matlab/helptoc.xml.gz │ │ │ │ ├── helptoc.xml │ │ │ │ │ ├── helptoc.xml │ │ │ │ │ │┄ Ordering differences only │ │ │ │ │ │ @@ -7,65 +7,39 @@ │ │ │ │ │ │ vl_compile │ │ │ │ │ │ vl_demo │ │ │ │ │ │ vl_harris │ │ │ │ │ │ vl_help │ │ │ │ │ │ vl_noprefix │ │ │ │ │ │ vl_root │ │ │ │ │ │ vl_setup │ │ │ │ │ │ - vl_aib │ │ │ │ │ │ - vl_aibcut │ │ │ │ │ │ - vl_aibcuthist │ │ │ │ │ │ - vl_aibcutpush │ │ │ │ │ │ - vl_aibhist │ │ │ │ │ │ - vl_hat │ │ │ │ │ │ - vl_ihat │ │ │ │ │ │ - vl_irodr │ │ │ │ │ │ - vl_rodr │ │ │ │ │ │ vl_vlad │ │ │ │ │ │ - vl_cf │ │ │ │ │ │ - vl_click │ │ │ │ │ │ - vl_clickpoint │ │ │ │ │ │ - vl_clicksegment │ │ │ │ │ │ - vl_det │ │ │ │ │ │ - vl_figaspect │ │ │ │ │ │ - vl_linespec2prop │ │ │ │ │ │ - vl_plotbox │ │ │ │ │ │ - vl_plotframe │ │ │ │ │ │ - vl_plotgrid │ │ │ │ │ │ - vl_plotpoint │ │ │ │ │ │ - vl_plotstyle │ │ │ │ │ │ - vl_pr │ │ │ │ │ │ - vl_printsize │ │ │ │ │ │ - vl_roc │ │ │ │ │ │ - vl_tightsubplot │ │ │ │ │ │ - vl_tpfp │ │ │ │ │ │ + vl_erfill │ │ │ │ │ │ + vl_ertr │ │ │ │ │ │ + vl_mser │ │ │ │ │ │ + vl_fisher │ │ │ │ │ │ vl_covdet │ │ │ │ │ │ vl_dsift │ │ │ │ │ │ vl_frame2oell │ │ │ │ │ │ vl_liop │ │ │ │ │ │ vl_phow │ │ │ │ │ │ vl_plotsiftdescriptor │ │ │ │ │ │ vl_plotss │ │ │ │ │ │ vl_sift │ │ │ │ │ │ vl_siftdescriptor │ │ │ │ │ │ vl_ubcmatch │ │ │ │ │ │ vl_ubcread │ │ │ │ │ │ - vl_flatmap │ │ │ │ │ │ - vl_imseg │ │ │ │ │ │ - vl_quickseg │ │ │ │ │ │ - vl_quickshift │ │ │ │ │ │ - vl_quickvis │ │ │ │ │ │ - vl_fisher │ │ │ │ │ │ + vl_slic │ │ │ │ │ │ vl_hikmeans │ │ │ │ │ │ vl_hikmeanshist │ │ │ │ │ │ vl_hikmeanspush │ │ │ │ │ │ vl_ikmeans │ │ │ │ │ │ vl_ikmeanshist │ │ │ │ │ │ vl_ikmeanspush │ │ │ │ │ │ vl_kmeans │ │ │ │ │ │ + vl_gmm │ │ │ │ │ │ vl_dwaffine │ │ │ │ │ │ vl_imarray │ │ │ │ │ │ vl_imarraysc │ │ │ │ │ │ vl_imdisttf │ │ │ │ │ │ vl_imdown │ │ │ │ │ │ vl_imgrad │ │ │ │ │ │ vl_imintegral │ │ │ │ │ │ @@ -82,19 +56,45 @@ │ │ │ │ │ │ vl_tpsu │ │ │ │ │ │ vl_waffine │ │ │ │ │ │ vl_witps │ │ │ │ │ │ vl_wtps │ │ │ │ │ │ vl_xyz2lab │ │ │ │ │ │ vl_xyz2luv │ │ │ │ │ │ vl_xyz2rgb │ │ │ │ │ │ - vl_gmm │ │ │ │ │ │ - vl_erfill │ │ │ │ │ │ - vl_ertr │ │ │ │ │ │ - vl_mser │ │ │ │ │ │ - vl_slic │ │ │ │ │ │ + vl_cf │ │ │ │ │ │ + vl_click │ │ │ │ │ │ + vl_clickpoint │ │ │ │ │ │ + vl_clicksegment │ │ │ │ │ │ + vl_det │ │ │ │ │ │ + vl_figaspect │ │ │ │ │ │ + vl_linespec2prop │ │ │ │ │ │ + vl_plotbox │ │ │ │ │ │ + vl_plotframe │ │ │ │ │ │ + vl_plotgrid │ │ │ │ │ │ + vl_plotpoint │ │ │ │ │ │ + vl_plotstyle │ │ │ │ │ │ + vl_pr │ │ │ │ │ │ + vl_printsize │ │ │ │ │ │ + vl_roc │ │ │ │ │ │ + vl_tightsubplot │ │ │ │ │ │ + vl_tpfp │ │ │ │ │ │ + vl_hat │ │ │ │ │ │ + vl_ihat │ │ │ │ │ │ + vl_irodr │ │ │ │ │ │ + vl_rodr │ │ │ │ │ │ + vl_aib │ │ │ │ │ │ + vl_aibcut │ │ │ │ │ │ + vl_aibcuthist │ │ │ │ │ │ + vl_aibcutpush │ │ │ │ │ │ + vl_aibhist │ │ │ │ │ │ + vl_flatmap │ │ │ │ │ │ + vl_imseg │ │ │ │ │ │ + vl_quickseg │ │ │ │ │ │ + vl_quickshift │ │ │ │ │ │ + vl_quickvis │ │ │ │ │ │ vl_ddgaussian │ │ │ │ │ │ vl_dgaussian │ │ │ │ │ │ vl_dsigmoid │ │ │ │ │ │ vl_gaussian │ │ │ │ │ │ vl_rcos │ │ │ │ │ │ vl_sigmoid │ │ │ │ │ │ vl_alldist2 │ │ │ ├── ./usr/share/doc/libvlfeat-dev/doc/matlab/matlab.html │ │ │ │┄ Ordering differences only │ │ │ │ @@ -65,38 +65,38 @@ │ │ │ │
│ │ │ │
│ │ │ │
│ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ -AIB │ │ │ │ -GEOMETRY │ │ │ │ VLAD
    │ │ │ │
  • vl_vlad VLAD feature encoding
│ │ │ │ -PLOTOP │ │ │ │ -SIFT │ │ │ │ -QUICKSHIFT
    │ │ │ │ -
  • vl_flatmap Flatten a tree, assigning the label of the root to each node
  • vl_imseg Color an image based on the segmentation
  • vl_quickseg Produce a quickshift segmentation of a grayscale or color image
  • vl_quickshift Quick shift image segmentation
  • vl_quickvis Create an edge image from a Quickshift segmentation.
│ │ │ │ +MSER
    │ │ │ │ +
  • vl_erfill Fill extremal region
  • vl_ertr Transpose exremal regions frames
  • vl_mser Maximally Stable Extremal Regions
│ │ │ │ FISHER
    │ │ │ │
  • vl_fisher Fisher vector feature encoding
│ │ │ │ +SIFT │ │ │ │ +SLIC
    │ │ │ │ +
  • vl_slic SLIC superpixels
│ │ │ │ KMEANS │ │ │ │ -IMOP │ │ │ │ GMM
    │ │ │ │
  • vl_gmm Learn a Gaussian Mixture Model using EM
│ │ │ │ -MSER
    │ │ │ │ -
  • vl_erfill Fill extremal region
  • vl_ertr Transpose exremal regions frames
  • vl_mser Maximally Stable Extremal Regions
│ │ │ │ -SLIC
    │ │ │ │ -
  • vl_slic SLIC superpixels
│ │ │ │ +IMOP │ │ │ │ +PLOTOP │ │ │ │ +GEOMETRY │ │ │ │ +AIB │ │ │ │ +QUICKSHIFT
    │ │ │ │ +
  • vl_flatmap Flatten a tree, assigning the label of the root to each node
  • vl_imseg Color an image based on the segmentation
  • vl_quickseg Produce a quickshift segmentation of a grayscale or color image
  • vl_quickshift Quick shift image segmentation
  • vl_quickvis Create an edge image from a Quickshift segmentation.
│ │ │ │ SPECIAL │ │ │ │ MISC │ │ │ │ ├── html2text {} │ │ │ │ │ @@ -2,74 +2,46 @@ │ │ │ │ │ * _vv_ll____cc_oo_mm_pp_ii_ll_ee Compile VLFeat MEX files │ │ │ │ │ * _vv_ll____dd_ee_mm_oo Run VLFeat demos │ │ │ │ │ * _vv_ll____hh_aa_rr_rr_ii_ss Harris corner strength │ │ │ │ │ * _vv_ll____hh_ee_ll_pp VLFeat toolbox builtin help │ │ │ │ │ * _vv_ll____nn_oo_pp_rr_ee_ff_ii_xx Create a prefix-less version of VLFeat commands │ │ │ │ │ * _vv_ll____rr_oo_oo_tt Obtain VLFeat root path │ │ │ │ │ * _vv_ll____ss_ee_tt_uu_pp Add VLFeat Toolbox to the path │ │ │ │ │ -AAIIBB │ │ │ │ │ - * _vv_ll____aa_ii_bb Agglomerative Information Bottleneck │ │ │ │ │ - * _vv_ll____aa_ii_bb_cc_uu_tt Cut VL_AIB tree │ │ │ │ │ - * _vv_ll____aa_ii_bb_cc_uu_tt_hh_ii_ss_tt Compute a histogram by using an AIB compressed alphabet │ │ │ │ │ - * _vv_ll____aa_ii_bb_cc_uu_tt_pp_uu_ss_hh Quantize based on VL_AIB cut │ │ │ │ │ - * _vv_ll____aa_ii_bb_hh_ii_ss_tt Compute histogram over VL_AIB tree │ │ │ │ │ -GGEEOOMMEETTRRYY │ │ │ │ │ - * _vv_ll____hh_aa_tt Hat operator │ │ │ │ │ - * _vv_ll____ii_hh_aa_tt Inverse vl_hat operator │ │ │ │ │ - * _vv_ll____ii_rr_oo_dd_rr Inverse Rodrigues' formula │ │ │ │ │ - * _vv_ll____rr_oo_dd_rr Rodrigues' formula │ │ │ │ │ VVLLAADD │ │ │ │ │ * _vv_ll____vv_ll_aa_dd VLAD feature encoding │ │ │ │ │ -PPLLOOTTOOPP │ │ │ │ │ - * _vv_ll____cc_ff Creates a copy of a figure │ │ │ │ │ - * _vv_ll____cc_ll_ii_cc_kk Click a point │ │ │ │ │ - * _vv_ll____cc_ll_ii_cc_kk_pp_oo_ii_nn_tt Select a point by clicking │ │ │ │ │ - * _vv_ll____cc_ll_ii_cc_kk_ss_ee_gg_mm_ee_nn_tt Select a segment by clicking │ │ │ │ │ - * _vv_ll____dd_ee_tt Compute DET curve │ │ │ │ │ - * _vv_ll____ff_ii_gg_aa_ss_pp_ee_cc_tt Set figure aspect ratio │ │ │ │ │ - * _vv_ll____ll_ii_nn_ee_ss_pp_ee_cc_22_pp_rr_oo_pp Convert PLOT style line specs to line properties │ │ │ │ │ - * _vv_ll____pp_ll_oo_tt_bb_oo_xx Plot boxes │ │ │ │ │ - * _vv_ll____pp_ll_oo_tt_ff_rr_aa_mm_ee Plot a geometric frame │ │ │ │ │ - * _vv_ll____pp_ll_oo_tt_gg_rr_ii_dd Plot a 2-D grid │ │ │ │ │ - * _vv_ll____pp_ll_oo_tt_pp_oo_ii_nn_tt Plot 2 or 3 dimensional points │ │ │ │ │ - * _vv_ll____pp_ll_oo_tt_ss_tt_yy_ll_ee Get a plot style │ │ │ │ │ - * _vv_ll____pp_rr Precision-recall curve. │ │ │ │ │ - * _vv_ll____pp_rr_ii_nn_tt_ss_ii_zz_ee Set the printing size of a figure │ │ │ │ │ - * _vv_ll____rr_oo_cc ROC curve. │ │ │ │ │ - * _vv_ll____tt_ii_gg_hh_tt_ss_uu_bb_pp_ll_oo_tt Tiles axes without wasting space │ │ │ │ │ - * _vv_ll____tt_pp_ff_pp Compute true positives and false positives │ │ │ │ │ +MMSSEERR │ │ │ │ │ + * _vv_ll____ee_rr_ff_ii_ll_ll Fill extremal region │ │ │ │ │ + * _vv_ll____ee_rr_tt_rr Transpose exremal regions frames │ │ │ │ │ + * _vv_ll____mm_ss_ee_rr Maximally Stable Extremal Regions │ │ │ │ │ +FFIISSHHEERR │ │ │ │ │ + * _vv_ll____ff_ii_ss_hh_ee_rr Fisher vector feature encoding │ │ │ │ │ SSIIFFTT │ │ │ │ │ * _vv_ll____cc_oo_vv_dd_ee_tt Covariant feature detectors and descriptors │ │ │ │ │ * _vv_ll____dd_ss_ii_ff_tt Dense SIFT │ │ │ │ │ * _vv_ll____ff_rr_aa_mm_ee_22_oo_ee_ll_ll Convert a geometric frame to an oriented ellipse │ │ │ │ │ * _vv_ll____ll_ii_oo_pp Local Intensity Order Pattern descriptor │ │ │ │ │ * _vv_ll____pp_hh_oo_ww Extract PHOW features │ │ │ │ │ * _vv_ll____pp_ll_oo_tt_ss_ii_ff_tt_dd_ee_ss_cc_rr_ii_pp_tt_oo_rr Plot SIFT descriptor │ │ │ │ │ * _vv_ll____pp_ll_oo_tt_ss_ss Plot scale space │ │ │ │ │ * _vv_ll____ss_ii_ff_tt Scale-Invariant Feature Transform │ │ │ │ │ * _vv_ll____ss_ii_ff_tt_dd_ee_ss_cc_rr_ii_pp_tt_oo_rr Raw SIFT descriptor │ │ │ │ │ * _vv_ll____uu_bb_cc_mm_aa_tt_cc_hh Match SIFT features │ │ │ │ │ * _vv_ll____uu_bb_cc_rr_ee_aa_dd Read Lowe's SIFT implementation data files │ │ │ │ │ -QQUUIICCKKSSHHIIFFTT │ │ │ │ │ - * _vv_ll____ff_ll_aa_tt_mm_aa_pp Flatten a tree, assigning the label of the root to each node │ │ │ │ │ - * _vv_ll____ii_mm_ss_ee_gg Color an image based on the segmentation │ │ │ │ │ - * _vv_ll____qq_uu_ii_cc_kk_ss_ee_gg Produce a quickshift segmentation of a grayscale or color │ │ │ │ │ - image │ │ │ │ │ - * _vv_ll____qq_uu_ii_cc_kk_ss_hh_ii_ff_tt Quick shift image segmentation │ │ │ │ │ - * _vv_ll____qq_uu_ii_cc_kk_vv_ii_ss Create an edge image from a Quickshift segmentation. │ │ │ │ │ -FFIISSHHEERR │ │ │ │ │ - * _vv_ll____ff_ii_ss_hh_ee_rr Fisher vector feature encoding │ │ │ │ │ +SSLLIICC │ │ │ │ │ + * _vv_ll____ss_ll_ii_cc SLIC superpixels │ │ │ │ │ KKMMEEAANNSS │ │ │ │ │ * _vv_ll____hh_ii_kk_mm_ee_aa_nn_ss Hierachical integer K-means │ │ │ │ │ * _vv_ll____hh_ii_kk_mm_ee_aa_nn_ss_hh_ii_ss_tt Compute histogram of quantized data │ │ │ │ │ * _vv_ll____hh_ii_kk_mm_ee_aa_nn_ss_pp_uu_ss_hh Push data down an integer K-means tree │ │ │ │ │ * _vv_ll____ii_kk_mm_ee_aa_nn_ss Integer K-means │ │ │ │ │ * _vv_ll____ii_kk_mm_ee_aa_nn_ss_hh_ii_ss_tt Compute histogram of quantized data │ │ │ │ │ * _vv_ll____ii_kk_mm_ee_aa_nn_ss_pp_uu_ss_hh Project data on integer K-means paritions │ │ │ │ │ * _vv_ll____kk_mm_ee_aa_nn_ss Cluster data using k-means │ │ │ │ │ +GGMMMM │ │ │ │ │ + * _vv_ll____gg_mm_mm Learn a Gaussian Mixture Model using EM │ │ │ │ │ IIMMOOPP │ │ │ │ │ * _vv_ll____dd_ww_aa_ff_ff_ii_nn_ee Derivative of an affine warp │ │ │ │ │ * _vv_ll____ii_mm_aa_rr_rr_aa_yy Flattens image array │ │ │ │ │ * _vv_ll____ii_mm_aa_rr_rr_aa_yy_ss_cc Scale and flattens image array │ │ │ │ │ * _vv_ll____ii_mm_dd_ii_ss_tt_tt_ff Image distance transform │ │ │ │ │ * _vv_ll____ii_mm_dd_oo_ww_nn Downsample an image by two │ │ │ │ │ * _vv_ll____ii_mm_gg_rr_aa_dd Image gradient │ │ │ │ │ @@ -87,22 +59,50 @@ │ │ │ │ │ * _vv_ll____tt_pp_ss_uu Compute the U matrix of a thin-plate spline transformation │ │ │ │ │ * _vv_ll____ww_aa_ff_ff_ii_nn_ee Apply affine transformation to points │ │ │ │ │ * _vv_ll____ww_ii_tt_pp_ss Inverse thin-plate spline warping │ │ │ │ │ * _vv_ll____ww_tt_pp_ss Thin-plate spline warping │ │ │ │ │ * _vv_ll____xx_yy_zz_22_ll_aa_bb Convert XYZ color space to LAB │ │ │ │ │ * _vv_ll____xx_yy_zz_22_ll_uu_vv Convert XYZ color space to LUV │ │ │ │ │ * _vv_ll____xx_yy_zz_22_rr_gg_bb Convert XYZ to RGB │ │ │ │ │ -GGMMMM │ │ │ │ │ - * _vv_ll____gg_mm_mm Learn a Gaussian Mixture Model using EM │ │ │ │ │ -MMSSEERR │ │ │ │ │ - * _vv_ll____ee_rr_ff_ii_ll_ll Fill extremal region │ │ │ │ │ - * _vv_ll____ee_rr_tt_rr Transpose exremal regions frames │ │ │ │ │ - * _vv_ll____mm_ss_ee_rr Maximally Stable Extremal Regions │ │ │ │ │ -SSLLIICC │ │ │ │ │ - * _vv_ll____ss_ll_ii_cc SLIC superpixels │ │ │ │ │ +PPLLOOTTOOPP │ │ │ │ │ + * _vv_ll____cc_ff Creates a copy of a figure │ │ │ │ │ + * _vv_ll____cc_ll_ii_cc_kk Click a point │ │ │ │ │ + * _vv_ll____cc_ll_ii_cc_kk_pp_oo_ii_nn_tt Select a point by clicking │ │ │ │ │ + * _vv_ll____cc_ll_ii_cc_kk_ss_ee_gg_mm_ee_nn_tt Select a segment by clicking │ │ │ │ │ + * _vv_ll____dd_ee_tt Compute DET curve │ │ │ │ │ + * _vv_ll____ff_ii_gg_aa_ss_pp_ee_cc_tt Set figure aspect ratio │ │ │ │ │ + * _vv_ll____ll_ii_nn_ee_ss_pp_ee_cc_22_pp_rr_oo_pp Convert PLOT style line specs to line properties │ │ │ │ │ + * _vv_ll____pp_ll_oo_tt_bb_oo_xx Plot boxes │ │ │ │ │ + * _vv_ll____pp_ll_oo_tt_ff_rr_aa_mm_ee Plot a geometric frame │ │ │ │ │ + * _vv_ll____pp_ll_oo_tt_gg_rr_ii_dd Plot a 2-D grid │ │ │ │ │ + * _vv_ll____pp_ll_oo_tt_pp_oo_ii_nn_tt Plot 2 or 3 dimensional points │ │ │ │ │ + * _vv_ll____pp_ll_oo_tt_ss_tt_yy_ll_ee Get a plot style │ │ │ │ │ + * _vv_ll____pp_rr Precision-recall curve. │ │ │ │ │ + * _vv_ll____pp_rr_ii_nn_tt_ss_ii_zz_ee Set the printing size of a figure │ │ │ │ │ + * _vv_ll____rr_oo_cc ROC curve. │ │ │ │ │ + * _vv_ll____tt_ii_gg_hh_tt_ss_uu_bb_pp_ll_oo_tt Tiles axes without wasting space │ │ │ │ │ + * _vv_ll____tt_pp_ff_pp Compute true positives and false positives │ │ │ │ │ +GGEEOOMMEETTRRYY │ │ │ │ │ + * _vv_ll____hh_aa_tt Hat operator │ │ │ │ │ + * _vv_ll____ii_hh_aa_tt Inverse vl_hat operator │ │ │ │ │ + * _vv_ll____ii_rr_oo_dd_rr Inverse Rodrigues' formula │ │ │ │ │ + * _vv_ll____rr_oo_dd_rr Rodrigues' formula │ │ │ │ │ +AAIIBB │ │ │ │ │ + * _vv_ll____aa_ii_bb Agglomerative Information Bottleneck │ │ │ │ │ + * _vv_ll____aa_ii_bb_cc_uu_tt Cut VL_AIB tree │ │ │ │ │ + * _vv_ll____aa_ii_bb_cc_uu_tt_hh_ii_ss_tt Compute a histogram by using an AIB compressed alphabet │ │ │ │ │ + * _vv_ll____aa_ii_bb_cc_uu_tt_pp_uu_ss_hh Quantize based on VL_AIB cut │ │ │ │ │ + * _vv_ll____aa_ii_bb_hh_ii_ss_tt Compute histogram over VL_AIB tree │ │ │ │ │ +QQUUIICCKKSSHHIIFFTT │ │ │ │ │ + * _vv_ll____ff_ll_aa_tt_mm_aa_pp Flatten a tree, assigning the label of the root to each node │ │ │ │ │ + * _vv_ll____ii_mm_ss_ee_gg Color an image based on the segmentation │ │ │ │ │ + * _vv_ll____qq_uu_ii_cc_kk_ss_ee_gg Produce a quickshift segmentation of a grayscale or color │ │ │ │ │ + image │ │ │ │ │ + * _vv_ll____qq_uu_ii_cc_kk_ss_hh_ii_ff_tt Quick shift image segmentation │ │ │ │ │ + * _vv_ll____qq_uu_ii_cc_kk_vv_ii_ss Create an edge image from a Quickshift segmentation. │ │ │ │ │ SSPPEECCIIAALL │ │ │ │ │ * _vv_ll____dd_dd_gg_aa_uu_ss_ss_ii_aa_nn Second derivative of the Gaussian density function │ │ │ │ │ * _vv_ll____dd_gg_aa_uu_ss_ss_ii_aa_nn Derivative of the Gaussian density function │ │ │ │ │ * _vv_ll____dd_ss_ii_gg_mm_oo_ii_dd Derivative of the sigmoid function │ │ │ │ │ * _vv_ll____gg_aa_uu_ss_ss_ii_aa_nn Standard Gaussian density function │ │ │ │ │ * _vv_ll____rr_cc_oo_ss RCOS function │ │ │ │ │ * _vv_ll____ss_ii_gg_mm_oo_ii_dd Sigmoid function │ │ │ ├── ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_aib.html │ │ │ │ @@ -62,15 +62,15 @@ │ │ │ │ Documentation>MATLAB API>AIB - vl_aib │ │ │ │
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│ │ │ │ PARENTS = VL_AIB(PCX) runs Agglomerative Information Bottleneck │ │ │ │ (AIB) on the class-feature co-occurrence matrix PCX and returns a │ │ │ │ vector PARENTS representing the sequence of compressed AIB │ │ │ │ alphabets. │ │ │ │

│ │ │ │ PCX is the joint probability of the occurrence of the class label │ │ │ │ C and the feature value X. PCX has one row for each class label │ │ │ ├── ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_aibhist.html │ │ │ │ @@ -62,15 +62,15 @@ │ │ │ │ Documentation>MATLAB API>AIB - vl_aibhist │ │ │ │

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│ │ │ │ H = VL_AIBHIST(PARENTS, DATA) computes the histogram of the data │ │ │ │ points DATA on the VL_AIB tree defined by PARENTS. Each element of │ │ │ │ DATA indexes one of the leaves of the VL_AIB tree. │ │ │ │

│ │ │ │ H = VL_AIBHIST(PARENTS, DATA, 'HIST') treats DATA as an histograms. │ │ │ │ In this case each compoment of DATA is the number of occurences of │ │ │ │ the VL_AIB leaves corresponding to that component. │ │ │ ├── ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_cf.html │ │ │ │ @@ -62,15 +62,15 @@ │ │ │ │ Documentation>MATLAB API>PLOTOP - vl_cf │ │ │ │

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│ │ │ │ VL_CF() creates a copy of the current figure and returns VL_CF(H0) │ │ │ │ creates a copy of the figure(s) whose handle is H0. H = │ │ │ │ VL_CF(...) returns the handles of the copies. │ │ │ │

│ │ │ │ See also: VL_HELP(). │ │ │ │

│ │ │ │
│ │ │ ├── ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_covdet.html │ │ │ │ @@ -62,15 +62,15 @@ │ │ │ │ Documentation>MATLAB API>SIFT - vl_covdet │ │ │ │
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│ │ │ │ VL_COVDET() implements a number of co-variant feature detectors │ │ │ │ (e.g., DoG, Harris-Affine, Harris-Laplace) and corresponding │ │ │ │ feature descriptors (SIFT, raw patches). │ │ │ │

│ │ │ │ F = VL_COVDET(I) detects upright scale and translation covariant │ │ │ │ features based on the Difference of Gaussian (Dog) cornerness │ │ │ │ measure from image I (a grayscale image of class SINGLE). Each │ │ │ ├── ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_ddgaussian.html │ │ │ │ @@ -62,15 +62,15 @@ │ │ │ │ Documentation>MATLAB API>SPECIAL - vl_ddgaussian │ │ │ │

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│ │ │ │ Y=VL_DDGAUSSIAN(X) computes the second derivative of the standard │ │ │ │ Gaussian density. │ │ │ │

│ │ │ │ To obtain the second derivative of the Gaussian density of │ │ │ │ standard deviation S, do │ │ │ │

│ │ │ │    Y = 1/S^3 * VL_DDGAUSSIAN(X/S) .
│ │ │ ├── ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_dwaffine.html
│ │ │ │ @@ -62,15 +62,15 @@
│ │ │ │        Documentation>MATLAB API>IMOP - vl_dwaffine
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│ │ │ │ [DWX,DWY]=VL_DWAFFINE(X,Y) returns the derivative of the 2-D affine │ │ │ │ warp [WX; WY] = [A T] [X; Y] with respect to the parameters A,T │ │ │ │ computed at points X,Y. │ │ │ │

│ │ │ │ See also: VL_WAFFINE(), VL_HELP(). │ │ │ │

│ │ │ │
│ │ │ ├── ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_erfill.html │ │ │ │ @@ -62,15 +62,15 @@ │ │ │ │ Documentation>MATLAB API>MSER - vl_erfill │ │ │ │
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│ │ │ │ MEMBERS=VL_ERFILL(I,ER) returns the list MEMBERS of the pixels which │ │ │ │ belongs to the extremal region represented by the pixel ER. │ │ │ │

│ │ │ │ The selected region is the one that contains pixel ER and of │ │ │ │ intensity I(ER). │ │ │ │

│ │ │ │ I must be of class UINT8 and ER must be a (scalar) index of the │ │ │ ├── ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_fisher.html │ │ │ │ @@ -62,15 +62,15 @@ │ │ │ │ Documentation>MATLAB API>FISHER - vl_fisher │ │ │ │

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│ │ │ │ ENC = VL_FISHER(X, MEANS, COVARIANCES, PRIORS) computes the Fisher │ │ │ │ vector encoding of the vectors X relative to the Gaussian mixture │ │ │ │ model with means MEANS, covariances COVARIANCES, and prior mode │ │ │ │ probabilities PRIORS. │ │ │ │

│ │ │ │ X has one column per data vector (e.g. a SIFT descriptor), and │ │ │ │ MEANS and COVARIANCES one column per GMM component (covariance │ │ │ ├── ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_flatmap.html │ │ │ │ @@ -62,15 +62,15 @@ │ │ │ │ Documentation>MATLAB API>QUICKSHIFT - vl_flatmap │ │ │ │

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│ │ │ │ [LABELS CLUSTERS] = VL_FLATMAP(MAP) labels each tree of the forest contained │ │ │ │ in MAP. LABELS contains the linear index of the root node in MAP, CLUSTERS │ │ │ │ instead contains a label between 1 and the number of clusters. │ │ │ │

│ │ │ │ See also: VL_HELP(). │ │ │ │

│ │ │ │
│ │ │ ├── ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_gmm.html │ │ │ │ @@ -62,15 +62,15 @@ │ │ │ │ Documentation>MATLAB API>GMM - vl_gmm │ │ │ │
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│ │ │ │ [MEANS, COVARIANCES, PRIORS] = VL_GMM(X, NUMCLUSTERS) fits a GMM with │ │ │ │ NUMCLUSTERS components to the data X. Each column of X represent a │ │ │ │ sample point. X may be either SINGLE or DOUBLE. MEANS, COVARIANCES, and │ │ │ │ PRIORS are respectively the means, the diagonal covariances, and │ │ │ │ the prior probabilities of the Guassian modes. MEANS and COVARIANCES │ │ │ │ have the same number of rows as X and NUMCLUSTERS columns with one │ │ │ │ column per mode. PRIORS is a row vector with NUMCLUSTER entries │ │ │ ├── ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_hat.html │ │ │ │ @@ -62,15 +62,15 @@ │ │ │ │ Documentation>MATLAB API>GEOMETRY - vl_hat │ │ │ │

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│ │ │ │ H = VL_HAT(OM) returns the skew symmetric matrix by taking the "hat" │ │ │ │ of the 3D vector OM. │ │ │ │

│ │ │ │ See also: VL_IHAT(), VL_HELP(). │ │ │ │

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│ │ │ ├── ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_hikmeans.html │ │ │ │ @@ -62,15 +62,15 @@ │ │ │ │ Documentation>MATLAB API>KMEANS - vl_hikmeans │ │ │ │
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│ │ │ │ [TREE,ASGN] = VL_HIKMEANS(DATA,K,NLEAVES) applies integer K-menas │ │ │ │ recursively to cluster the data DATA, returing a structure TREE │ │ │ │ representing the clusters and a vector ASGN with the data to │ │ │ │ cluster assignments. The depth of the recursive partition is │ │ │ │ computed so that at least NLEAVES are generated. │ │ │ │

│ │ │ │ VL_HIKMEANS() is built on top of VL_IKMEANS() and requires the │ │ │ ├── ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_kmeans.html │ │ │ │ @@ -62,15 +62,15 @@ │ │ │ │ Documentation>MATLAB API>KMEANS - vl_kmeans │ │ │ │

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│ │ │ │ [C, A] = VL_KMEANS(X, NUMCENTERS) clusters the columns of the │ │ │ │ matrix X in NUMCENTERS centers C using k-means. X may be either │ │ │ │ SINGLE or DOUBLE. C has the same number of rows of X and NUMCENTER │ │ │ │ columns, with one column per center. A is a UINT32 row vector │ │ │ │ specifying the assignments of the data X to the NUMCENTER │ │ │ │ centers. │ │ │ │

│ │ │ ├── ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_mser.html │ │ │ │ @@ -62,15 +62,15 @@ │ │ │ │ Documentation>MATLAB API>MSER - vl_mser │ │ │ │

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│ │ │ │ R=VL_MSER(I) computes the Maximally Stable Extremal Regions (MSER) │ │ │ │ [1] of image I with stability threshold DELTA. I is any array of │ │ │ │ class UINT8. R is a vector of region seeds. │ │ │ │

│ │ │ │ A (maximally stable) extremal region is just a connected component │ │ │ │ of one of the level sets of the image I. An extremal region can │ │ │ │ be recovered from a seed X as the connected component of the level │ │ │ ├── ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_quickvis.html │ │ │ │ @@ -62,15 +62,15 @@ │ │ │ │ Documentation>MATLAB API>QUICKSHIFT - vl_quickvis │ │ │ │

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│ │ │ │ IEDGE = VL_QUICKVIS(I, RATIO, KERNELSIZE, MAXDIST, MAXCUTS) creates an edge │ │ │ │ stability image from a Quickshift segmentation. RATIO controls the tradeoff │ │ │ │ between color consistency and spatial consistency (See VL_QUICKSEG) and │ │ │ │ KERNELSIZE controls the bandwidth of the density estimator (See VL_QUICKSEG, │ │ │ │ VL_QUICKSHIFT). MAXDIST is the maximum distance between neighbors which │ │ │ │ increase the density. │ │ │ │

│ │ │ ├── ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_rodr.html │ │ │ │ @@ -62,15 +62,15 @@ │ │ │ │ Documentation>MATLAB API>GEOMETRY - vl_rodr │ │ │ │

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│ │ │ │ R = VL_RODR(OM) where OM a 3-dimensional column vector computes the │ │ │ │ Rodrigues' formula of OM, returning the rotation matrix R = │ │ │ │ expm(vl_hat(OM)). │ │ │ │

│ │ │ │ [R,DR] = VL_RODR(OM) computes also the derivative of the Rodrigues │ │ │ │ formula. In matrix notation this is the expression │ │ │ │

│ │ │ ├── ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_setup.html
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│ │ │ │        Documentation>MATLAB API>vl_setup
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│ │ │ │ PATH = VL_SETUP() adds the VLFeat Toolbox to MATLAB path and │ │ │ │ returns the path PATH to the VLFeat package. │ │ │ │

│ │ │ │ VL_SETUP('NOPREFIX') adds aliases to each function that do not │ │ │ │ contain the VL_ prefix. For example, with this option it is │ │ │ │ possible to use SIFT() instead of VL_SIFT(). │ │ │ │

│ │ │ ├── ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_slic.html │ │ │ │ @@ -62,15 +62,15 @@ │ │ │ │ Documentation>MATLAB API>SLIC - vl_slic │ │ │ │

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│ │ │ │ SEGMENTS = VL_SLIC(IM, REGIONSIZE, REGULARIZER) extracts the SLIC │ │ │ │ superpixes [1] from image IM. REGIONSIZE is the starting size of │ │ │ │ the superpixels and REGULARIZER is the trades-off appearance for │ │ │ │ spatial regularity when clustering (a larger value results in more │ │ │ │ spatial regularization). SEGMENTS is a UINT32 array containing the │ │ │ │ superpixel identifier for each image pixel. │ │ │ │

│ │ │ ├── ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_tpfp.html │ │ │ │ @@ -62,15 +62,15 @@ │ │ │ │ Documentation>MATLAB API>PLOTOP - vl_tpfp │ │ │ │

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│ │ │ │ This is an helper function used by VL_PR(), VL_ROC(), VL_DET(). │ │ │ │

│ │ │ │ See also: VL_PR(), VL_ROC(), VL_DET(), VL_HELP(). │ │ │ │

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│ │ │ ├── ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_ubcread.html │ │ │ │ @@ -62,15 +62,15 @@ │ │ │ │ Documentation>MATLAB API>SIFT - vl_ubcread │ │ │ │
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│ │ │ │ [F,D] = VL_UBCREAD(FILE) reads the frames F and the descriptors D │ │ │ │ from FILE in UBC (Lowe's original implementation of SIFT) format │ │ │ │ and returns F and D as defined by VL_SIFT(). │ │ │ │

│ │ │ │ VL_UBCREAD(FILE, 'FORMAT', 'OXFORD') assumes the format used by │ │ │ │ Oxford VGG implementations . │ │ │ │

│ │ │ ├── ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_vlad.html │ │ │ │ @@ -62,15 +62,15 @@ │ │ │ │ Documentation>MATLAB API>VLAD - vl_vlad │ │ │ │

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│ │ │ │ ENC = VL_VLAD(X, MEANS, ASSIGNMENTS) computes the VLAD │ │ │ │ encoding of the vectors X relative to cluster centers MEANS and │ │ │ │ vector-to-cluster soft assignments ASSIGNMENTS. │ │ │ │

│ │ │ │ X has one column per data vector (e.g. a SIFT descriptor), and │ │ │ │ MEANS has one column per component. Usually one has one component │ │ │ │ per KMeans cluster and MEANS are the KMeans centers. X and MEANS │ │ │ ├── ./usr/share/doc/libvlfeat-dev/doc/matlab/vl_xyz2rgb.html │ │ │ │ @@ -62,15 +62,15 @@ │ │ │ │ Documentation>MATLAB API>IMOP - vl_xyz2rgb │ │ │ │

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│ │ │ │ -

│ │ │ │ +

│ │ │ │ J = VL_XYZ2RGB(I) the XYZ image I in RGB format. │ │ │ │

│ │ │ │ VL_XYZ2RGB(I,WS) uses the RGB workspace WS. WS is a string in │ │ │ │

  • │ │ │ │ CIE: E illuminant and 2.2 gamma │ │ │ │

  • │ │ │ │ Adobe: D65 illuminant and 2.2 gamma │ │ ├── xz --list │ │ │ @@ -1,13 +1,13 @@ │ │ │ Streams: 1 │ │ │ Blocks: 1 │ │ │ - Compressed size: 1676.8 KiB (1716996 B) │ │ │ + Compressed size: 1676.7 KiB (1716964 B) │ │ │ Uncompressed size: 8170.0 KiB (8366080 B) │ │ │ Ratio: 0.205 │ │ │ Check: CRC64 │ │ │ Stream Padding: 0 B │ │ │ Streams: │ │ │ Stream Blocks CompOffset UncompOffset CompSize UncompSize Ratio Check Padding │ │ │ - 1 1 0 0 1716996 8366080 0.205 CRC64 0 │ │ │ + 1 1 0 0 1716964 8366080 0.205 CRC64 0 │ │ │ Blocks: │ │ │ Stream Block CompOffset UncompOffset TotalSize UncompSize Ratio Check │ │ │ - 1 1 12 0 1716956 8366080 0.205 CRC64 │ │ │ + 1 1 12 0 1716924 8366080 0.205 CRC64