Key | Value |
---|---|
FileSize | 2005042 |
MD5 | 2562D1D0623963523F236BC4B1843351 |
PackageDescription | Computer vision library focussing on visual features and clustering VLFeat implements popular computer vision algorithms including SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, and quick shift. It is written in C for efficiency and compatibility, with interfaces in GNU octave for ease of use, and detailed documentation throughout . Documentation |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | libvlfeat-doc |
PackageSection | doc |
PackageVersion | 0.9.17+dfsg0-6 |
SHA-1 | 0DBEB7331C935F39EC0313297B3C064E60C99F6F |
SHA-256 | 71345D6CA1FCEF4A428C7E410EF952CA4B2B684F2888456824B1F5AFB2A7110F |
hashlookup:children-total | 462 |
hashlookup:trust | 50 |
The searched file hash includes 462 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/libvlfeat-doc/examples/generic-driver.h.gz |
FileSize | 1828 |
MD5 | 083E89E30F3E960C83FB38B622F77D91 |
RDS:package_id | 184820 |
SHA-1 | 0019A501BAFF5E6109504C03B26CD84962E5CE2C |
SHA-256 | 2B4FF9EB50C2CF86BC8B41066C6AB1FFD36E4B6F7EFC344981ED3F1CC772ED66 |
SSDEEP | 24:XXpMXGwDWT2TrSggECQPEwWQprPxDdxVPc23fOt0x6vIHdiupcd2Ey6vJb4ohdRF:X6fWT2TuXi1p1xbcixTdiuiLnJEm+Od |
TLSH | T170310B8F6F2E7192C918AC314841C9CF1B502BA0D15DCAC7758F4A70610FBA199A2BF8 |
insert-timestamp | 1648773006.4096153 |
source | RDS_2022.03.1_legacy.db |
Key | Value |
---|---|
FileName | ./usr/share/doc/octave-vlfeat/copyright |
FileSize | 1681 |
MD5 | 986076C6AAD02793C768130E21CDBC55 |
SHA-1 | 005B075C1EF73CD4CDA9AA8E925C887305C1593D |
SHA-256 | F2B268A88E36CA61824CE6F17DA077DF1179C694A7BB34E0A9B7347970B71F92 |
SSDEEP | 48:MRZg8AOYrYJ0rYJTE437Sv3JErmv3t6THv:M3g85YrYJ0rYJT33uv3JjYTP |
TLSH | T1C731968B27404BA26BC15BC17AB19FC4718D503E36135D08386EA3907B3B21EF9F7411 |
Key | Value |
---|---|
FileName | ./usr/share/doc/libvlfeat-doc/doc/matlab/vl_imsmooth.html |
FileSize | 4065 |
MD5 | 54D5F44D05DA8A4C494E5222D19FA939 |
SHA-1 | 00C8658E91CBD54D0EB1CF1FE7E880EC11A75D09 |
SHA-256 | 06360C83C56169E589B0F997EDD5A887F9E9BE4B1C93B9E21F98B0609FF5B663 |
SSDEEP | 48:Im0whL5QoMwpkZmaJy/HToEhJaudx8DtXqxV8dph6YNygCskFRrvUu582Z+gXczF:PGwYOxaudxtnU5mJT1ez8VCxQg |
TLSH | T14F8184558EC464B30247431677A932962B17D24B8F256E00302D1D5EEF8BBD64B97BCF |
Key | Value |
---|---|
CRC32 | D8D45259 |
FileName | ./usr/share/doc/liblapack-doc/explore-html/ftv2cl.png |
FileSize | 453 |
MD5 | CDF8B0D9118C4CB6D33B4C534140ADE9 |
OpSystemCode | 362 |
ProductCode | 17075 |
RDS:package_id | 294618 |
SHA-1 | 0138F9FFBA5051C1391D617086336E5FA80D4599 |
SHA-256 | 840B2B0C6ED8DBA0D3DB0971F00F72AFEB5C98DC7C677A98F91FD632C422B29F |
SSDEEP | 6:6v/lhPqJuF2k2rfaqcZ1058+DyXvyDWEvblqDg/oEweIJLSbGZ5R3q7BQp:6v/7jF2xJGC58jyP0ve+SyZHq7Ba |
SpecialCode | |
TLSH | T16BF0239047E97CA54AFD7535F3570531E8AE5D9DC2744080D6F9843ED601882E09E3EB |
db | nsrl_legacy |
insert-timestamp | 1712767754.5261862 |
source | db.sqlite |
tar:gname | root |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/share/doc/libvlfeat-doc/doc/applications/experiments.html |
FileSize | 9501 |
MD5 | 29E016EADB40646B95D186AD511A6210 |
SHA-1 | 0169767B3C20230E0FDAB9C32E4D72D2128E4D55 |
SHA-256 | 75622609C9098008AD1885823B5447AC475F1565594E586355FC47B6585477F8 |
SSDEEP | 192:P/whau4KIylrC7Z57k07kq4ZpIZjbH35Y6M9xVoYo9raZh19YHluudh96hMCz+R:PQIylrC7T7l7D4jI3UTqmaCzG |
TLSH | T1D612850959D7A7F44104AD0DE34A1A370F26EB1F88AFF42571CCCC388BC9E5497926AA |
Key | Value |
---|---|
FileName | ./usr/share/doc/libvlfeat-doc/doc/matlab/vl_sampleinthist.html |
FileSize | 3792 |
MD5 | 03C14E1CF5973EDB41AC201932BC6EBE |
SHA-1 | 01B46483A9B0CC2AB45167E521168C41AA8F0055 |
SHA-256 | 8C908E2ADD56DAB635E781444292F6591F6C1E9FED1D07EEC67E561801B86415 |
SSDEEP | 48:Im0whL5FMwpkZmaJy/HToEhJaudx8RXqxV8dph6YNygCskFRrPUC2Tb6sB+it1Cy:PswYOxaudxXnU5mlPiO+4g |
TLSH | T1E87153848EC995B3424383062BA432510B5BE24BDF467D04305C1C0FEFCAB965B6A3CF |
Key | Value |
---|---|
FileName | ./usr/share/doc/libvlfeat-doc/doc/api/kdtree.html |
FileSize | 8455 |
MD5 | 29973672373E963ECE4E40DEC59EC837 |
SHA-1 | 02CC1506203CF96E1844EF629C8E0F3B4CCC4C89 |
SHA-256 | 4976D959978ED9E477AB2D14718463CB4A294177E11763E40CB0DADC7947A9A5 |
SSDEEP | 192:9SwcXau6Y/oJULrrWDM2VaQP9+kVDVTJwYuSDMHkkCxTrGuuwbFjfn1:9mTL/zjWDM2PkklVTqxSDMHFCx3mwbRt |
TLSH | T19D02F7246B8457370352AB91E6E83396AB53D26FDB042D10307D48ADA747FA5067B3CB |
Key | Value |
---|---|
FileName | ./usr/share/doc/libvlfeat-doc/doc/matlab/vl_quickseg.html |
FileSize | 3125 |
MD5 | 0FA71AD7E9554BBD1BB3626C215DF953 |
SHA-1 | 02E035211CE45B7AF72D0BFA7A388E5CF5DEF7BA |
SHA-256 | F9E341F1ADC703A8BC3A913F42EAFFC52850243D7E2AC34EC50C6D2CFB0C38F2 |
SSDEEP | 48:Im0whL5HMwpkZmaJy/HToEhJaudx8dXqxV8dph6YNygCskFRrXUXAmZ2x/pIFEj:PCwYOxaudxhnU5mSwum |
TLSH | T1715155589DD9A873424393166BA032560F57E24B8F467D05302C1C1EEFCBBCA4A8739F |
Key | Value |
---|---|
FileName | ./usr/share/doc/libvlfeat-doc/doc/matlab/demo/vl_demo_imdisttf.html |
FileSize | 4038 |
MD5 | 5B7E33A12A44348722DEC2A3FBEC91A3 |
SHA-1 | 030612DC702EEBC96AB06173BA7A6B3C5863227C |
SHA-256 | 745DFFA45087DEE57CD0D5F47305DE7C0F855AB5DF670793ADE05F42797302AE |
SSDEEP | 48:ImlxhL51nfpkZmaJy/HToEhJaudx8VXqxC8wp+FxN5rCJkF2Fx5rX64hWF+UuXoG:3HfYOxaudxX08L92hX64hWaotUzb5L |
TLSH | T12881B6589DE4D8E301428312BEA535411F5AE21B9FA97E00301C051EFFDEA89569AB6F |
Key | Value |
---|---|
FileName | ./usr/share/doc/libvlfeat-doc/doc/api/fisher-kernel.html |
FileSize | 6128 |
MD5 | 651FA8E9F88138085D4F0AC7DA4B8F53 |
SHA-1 | 036FC37D13CA98B334FBC75D08049CC439F98C68 |
SHA-256 | 6FC51A72F350D85F4087C28DFC3211F2E9523A8D37E978AFBEAAF2CF5E19F866 |
SSDEEP | 96:9SwcKOxaudTbnUUxJlo1H8qYZOiynzbVHvz3PlNjb7ys/4:9SwcXau6Y/oJd3VL3Pl9b7yZ |
TLSH | T1B1C1D719ADC6563342024361BE6C27960BDAD18FCF197D00306C449D9FDAE568BE738F |