Key | Value |
---|---|
FileName | ./usr/share/doc/python-vigra-doc/html/searchindex.js |
FileSize | 46642 |
MD5 | 49E3976E218E5C81A665101D91533DE4 |
SHA-1 | 0051E4A62506B516377DBE71A3B189075702D4EA |
SHA-256 | C828AE5E0F193320CD5EEB0B3ECF9FD025B49C771658EE952553CF8C72FC5A64 |
SSDEEP | 768:xodOBu0RIpxwZSvMQwy5npjzjqLnXQFcrS1Zhg1ZhGtjw/aGyiBFHLH2j9Tq7euW:xodOBu0RIpxwZSvMQwy5npjzjqLngFcy |
TLSH | T16B2331674D64A8332523913FFED6AB0ACE18D28EB44CC78799BC810953835DE933F916 |
hashlookup:parent-total | 2 |
hashlookup:trust | 60 |
The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 120148 |
MD5 | F4714D9A4114425E9D2C14EC34499B7B |
PackageDescription | Documentation for Python3 bindings 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 Python3 bindings for the VIGRA library. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python-vigra-doc |
PackageSection | doc |
PackageVersion | 1.11.1+dfsg-8 |
SHA-1 | CBFDF43532AB8CC5F70B492F08E4313B4BB99C4F |
SHA-256 | 0A76A359AB087B3D0BEDD8288094356D7BB6C367708130D9EFF120C0E7991B25 |
Key | Value |
---|---|
FileSize | 111144 |
MD5 | 6AF6C5DCFDD54F7F8EC05264B7513116 |
PackageDescription | Documentation for Python3 bindings 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 Python3 bindings for the VIGRA library. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-vigra-doc |
PackageSection | doc |
PackageVersion | 1.11.1+dfsg-7ubuntu5 |
SHA-1 | E15EE49DCC1CE4D6BE4F5AA4A78EA5601C0206A9 |
SHA-256 | A09F7C74EBC70D3AC4C772BBE6352CA3650A74AFC64BC793C2CDA32921615E30 |