Key | Value |
---|---|
FileSize | 2428422 |
MD5 | AB954CDE97200CB6BE60CAED6319DD1A |
PackageDescription | Documentation for the C++ computer vision library Vision with Generic Algorithms (VIGRA) is a computer vision library that puts its main emphasis on flexible algorithms, because algorithms represent the principle know-how of this field. The library was consequently built using generic programming as introduced by Stepanov and Musser and exemplified in the C++ Standard Template Library. By writing a few adapters (image iterators and accessors) you can use VIGRA's algorithms on top of your data structures, within your environment. . This package contains documentation for the VIGRA library. |
PackageMaintainer | Debian QA Group <packages@qa.debian.org> |
PackageName | libvigraimpex-doc |
PackageSection | doc |
PackageVersion | 1.9.0+dfsg-10 |
SHA-1 | AA6DF418E78B578B52FF83DD74CC27DE261359E8 |
SHA-256 | BF61B6737447407F7F269CB907322734B02FC1DD8B66A833BA551C9793A6535A |
hashlookup:children-total | 1130 |
hashlookup:trust | 50 |
The searched file hash includes 1130 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/libvigraimpex-doc/html/classvigra_1_1rf_1_1algorithms_1_1GetClusterVariables-members.html |
FileSize | 2487 |
MD5 | B141B4EE251962B4172992145A43D9F0 |
SHA-1 | 0021180A29C0EEF59C761EBD391E3D91A3BC91D6 |
SHA-256 | B21070E6C064EBE184AE3C21B51558D7906BB31D7C2E44205BC05EB80D7D3BF4 |
SSDEEP | 48:UEixPODO9XBFUm3F7c3BTQNmK4xM5KqnNwOp2Mv+JOv2:AODO9XBFUm3F7caEnefNwOpxv2 |
TLSH | T1E2519558444875678093F3EB2E934E6833E357F2D6231978B6B0740B260BD44630CFCA |
Key | Value |
---|---|
FileName | ./usr/share/doc/libvigraimpex-doc/html/classvigra_1_1TinyVector-members.html |
FileSize | 13990 |
MD5 | 50C48773A2622E190B3ED7BA4E128192 |
SHA-1 | 00632793CAE19DFFE72BD73424E05C8685542B89 |
SHA-256 | 44614AE3A6C083AFAE1AA976478F421C82C209D9A9B609F7B7FADD1156B8B030 |
SSDEEP | 192:mBC+0BP7PiN0F5AfKzffr3aV7sn3bB1xoT0uQUjavbFs6FrQxGHRGOwGMHspX3+O:5TUSTDQtK |
TLSH | T13052685A91E616F3C0C773EA32427FD872D382B7F7902668B4FC76828A24D619363547 |
Key | Value |
---|---|
FileName | ./usr/share/doc/libvigraimpex-doc/html/functions_type_m.html |
FileSize | 2966 |
MD5 | B038299C7A7F07E79D9FEF19A05DA38B |
SHA-1 | 00F8A6119755BEFFEF409CF93A5A3B007FBB8F01 |
SHA-256 | 0789867AEDD7681FBAFA09B80EFF65F1489708DD1397F383E2DC23D90C2D4DAA |
SSDEEP | 48:MEixPODO9XJD3d1aGOEGNtFDqnNwOp2Mv+JOv2:YODO9XJ73sENwOpxv2 |
TLSH | T162518768CA49AEAF42D7B3C3D2546B547363C5D2F1402679E1FC5803B24EB54531C69B |
Key | Value |
---|---|
FileName | ./usr/share/doc/libvigraimpex-doc/html/classvigra_1_1acc_1_1AbsPowerSum-members.html |
FileSize | 2065 |
MD5 | 94D7E93C7F4508D78C0D6F05E2C6C7EA |
SHA-1 | 0118B4142AB8D81D95E7407161CD5D798D357D4C |
SHA-256 | 9C65C030167E6E5DEF5B5BFFA1B4132AC0ECC668408F895F39ECAFB50A9ADF88 |
SSDEEP | 48:UEixPODO9XBFUFJ9B4bqnNwOp2Mv+JOv2:AODO9XBFUFJfNwOpxv2 |
TLSH | T182415358404DBB678063F3C3A5759E9833E387F1F616296CB2B075071B46E44630DBDA |
Key | Value |
---|---|
FileName | ./usr/share/doc/libvigraimpex-doc/html/classvigra_1_1Box-members.html |
FileSize | 13130 |
MD5 | BEF7691EE8DDC9D987D484DFB1769ADC |
SHA-1 | 014B8EE8082FD14ABA25DAEB62731B6F09C883D3 |
SHA-256 | 3ED77BFF8FE72F8E3019C98090BA75164A9B351A0CF66E67380BE7DAB47A8EFC |
SSDEEP | 192:mBCebM5/xgEp6wSAW5M7w0nYVSbe5V6wC1vMxrdKa4cZ/8Gh08/DBp12:8nK |
TLSH | T13F421AA499F526F7859333EB03436F4872D3C266F3913660F9F87A9BC642E2053451DA |
Key | Value |
---|---|
FileName | ./usr/share/doc/libvigraimpex-doc/html/classvigra_1_1UniformRandomFunctor-members.html |
FileSize | 3368 |
MD5 | A8395037A4E6BD2FB1BFC509127581E3 |
SHA-1 | 0159FB5C540672549D6E6DA6721D3700F8DA8493 |
SHA-256 | 6AB1355BA632DC806A2D063A6462848F9D8E7C2070F9AEECA49F4981AE04A8F1 |
SSDEEP | 48:UEixPODO9XBFUdF4TBa4kmF4kV/Ip9F4k0zvYF4k0IG4qF4k0zv4DKV1F4k05KqQ:AODO9XBFUvXimPJCNOoSMfNwOpxv2 |
TLSH | T1116151AC41A67677C1C373C352916F88F3D3D2A5E35028AAB1B8BB030A45D587339E87 |
Key | Value |
---|---|
FileName | ./usr/share/doc/libvigraimpex-doc/html/features_8hxx_source.html |
FileSize | 17284 |
MD5 | 384C3AD27BF6C250EF3E95722C6B844F |
SHA-1 | 01F0D78414A3E7282F5E189B0D8D9E8F14BBBA6D |
SHA-256 | B5C6A3E47BA91AEC6F11AABDBF6BEAC181A10B3E7240BE1D10AE0638EE488229 |
SSDEEP | 192:EBfaXLP0SfygHR40alPyOZOn+eEBzsgsNg9tc1mP8E8Oslm3LLNVp/rCTbo5h18G:iS7qE1AUYFoK |
TLSH | T18272D155DAD308325A23D1F269B5AF7D78E7723AD78B160C7AEC37A903C6DC0789A404 |
Key | Value |
---|---|
FileName | ./usr/share/doc/libvigraimpex-doc/html/classvigra_1_1acc_1_1Central_3_01PowerSum_3_014_01_4_01_4.html |
FileSize | 2868 |
MD5 | 8EDF7DC14D663366DB75DB36406768AD |
SHA-1 | 027DC364AF4C874449F5190786A0174A7F385E50 |
SHA-256 | DDAB256BEB6A879FED4A160318362E8E376A21ED9EE2EE961D1E6D016D78A559 |
SSDEEP | 48:ttZ/YEixPODO9XBFUFJqkFBltZ/iw0FdIITmUQetZPwcMtbYAxqnNwOp2Mv+JOv2:V/sODO9XBFUFJqC/iw0HIIK9EPwcWbY0 |
TLSH | T16A51B868404677F74053B3CB9675AFD837B293B1F702256872F876072B46E44131E755 |
Key | Value |
---|---|
FileName | ./usr/share/doc/libvigraimpex-doc/html/classvigra_1_1ColumnIterator.html |
FileSize | 27784 |
MD5 | C59244B945EE96EFEFF5CD3958F0865B |
SHA-1 | 02AFC09DAF1347EF28166D91ED1954B737017344 |
SHA-256 | 26EB22BE8EDE3E4EB3475FC0F05C03AF8D606C5649B2B8083DAD7BA23177375A |
SSDEEP | 192:wBCQbk+k+qmMOgXQSiTv0zD9+k+z6XaAo7O1KHnV/IvWpDBJtguWmVhUALhbRB3A:Obk+k+qriToD9+k+QaLSpqq1+w+xK |
TLSH | T11DC2343555C212F3498B33C3D2496F7933D28553E3827590F8FDAA56AB49E96C32B03A |
Key | Value |
---|---|
FileName | ./usr/share/doc/libvigraimpex-doc/html/group__MachineLearning.html |
FileSize | 113404 |
MD5 | 9CBE1108878B9259D9FF433A992C3101 |
SHA-1 | 02E2EBD548B7ECF31E9832EF5395B7EE4E540BAE |
SHA-256 | D54A3C36C0DF34F2EDE5172514BBF7DD6507318164EDBFCEACD091FD220CBF82 |
SSDEEP | 768:YwjDCGcCMVmSNHxFzIgjN6hj+QRlaGdcYQrlkuK:YwXCzFLjN6h5wpK |
TLSH | T1C0B38A1464E223B769A73193891A7FA37AC18067E39254107CFE5FB74F09DE5C22722E |