Key | Value |
---|---|
FileSize | 3222892 |
MD5 | 5541756598CBDE6B6EA463D356E719CB |
PackageDescription | documentation for the Python interface to OpenGM OpenGM is a C++ template library for discrete factor graph models and distributive operations on these models. . It includes state-of-the-art optimization and inference algorithms beyond message passing. OpenGM handles large models efficiently, is modular and extendible. The graphical model data structure, inference algorithms and different encodings of functions inter-operate through well-defined interfaces. The binary OpenGM file format is based on the HDF5 standard and incorporates user extensions automatically. . This package contains the documentation for the Python interface to the OpenGM library. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python-opengm-doc |
PackageSection | doc |
PackageVersion | 2.3.6+20160905-1 |
SHA-1 | 6AE422BF63D13E0FDE15BB0F8E20D62298EF9D99 |
SHA-256 | E3C6D502D08B4FBCB77DD3BF53362E643F9B65CCE5FF9CFBBCB8688A049DE2BD |
hashlookup:children-total | 100 |
hashlookup:trust | 50 |
The searched file hash includes 100 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/python-opengm-doc/html/_static/plus.png |
FileSize | 173 |
MD5 | 642B5D8C80E1F9943AF2C5765FBAE043 |
SHA-1 | 03F226B3077B66128DE066B2F288C7ED5AF3EBB5 |
SHA-256 | 794AE27EB7A7B9374E6844E5D1508BFBD98D7616DD8888B50461091358172F9A |
SSDEEP | 3:yionv//thPl6Jxnz2m2/uDlhlbJrGR4ep1f5Dv/WkTaOynFrEVMrw5jp:6v/lhP8vzs/6T+7bBCk8FrEercjp |
TLSH | T159C08CEB8BC09CBA959E5131111B4246CAA32E8A3343860A219F4A6506B7B3C96A5364 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-opengm-doc/html/_images/result_house_icm_small.png |
FileSize | 944550 |
MD5 | 0CC0BF3D7D56578EC4B2849ED3471FDC |
SHA-1 | 04C18953CBB8F1288341EA44AA8CD13E0517080F |
SHA-256 | BE724705AA26CF783D7403DF6839F17B6F92769AAE890BE8FAA55F79D97CCFDF |
SSDEEP | 1536:mDF9Zsf6J56a6hlKykDM35XxP5zxq1h4UyeyXZoOiexecNskt3wAyU1l28AJp/0t:mDhfD67KXMx7zikiyhK/s |
TLSH | T1AA157473BD81FC66D8484978816087B213117C2AFB25829B3589BE7D9EBF4C37F85660 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-opengm-doc/html/_sources/index.txt |
FileSize | 2469 |
MD5 | E15B73F9C7ED3A2AF5CE0A1DA894F2AD |
SHA-1 | 06A42E170D6584A21BB28F490EF9CE129205E1F5 |
SHA-256 | 13B7076B84CC79CF17EDC0FA775E038BEB9F0DD741B95459B5F0AB3AB2E83EFF |
SSDEEP | 48:JO5Q0O2a5FspAEM9zs9bNyYXDiBaJQ+I1GVeQ3qP1zgYcX8nXKAlnQZcX8nXu:t0OkaET9EYXOam31onDA+0 |
TLSH | T12B5161015E193A41525AD1D8A62D8AB6E7786C753031141BFDBC400E3727BB903AD7C6 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-opengm-doc/html/inference.html |
FileSize | 13860 |
MD5 | 4A337518B8E82E211EFB5DF0C1039B60 |
SHA-1 | 086DB9025FF2A49E43EF095E214D678E799E2252 |
SHA-256 | 949261B2FC97705AD1C4E2B0578C6227C1F35F558A2487225D1C8581293FCEFC |
SSDEEP | 192:in3JqZ+gbnRKnJLQWK7THglhlSVATVLaBVjwVjOBucWKR2UOEe/glAVUVLaUVj8f:i3JsbnRK9QtAx7a9nlKh |
TLSH | T12F524F90E8FA94374136C9C356BE1B35F0E2482AE4860505B3FDA77C07DCD94794BAAE |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-opengm-doc/examples/potts_gui.py |
FileSize | 1100 |
MD5 | 0968E0231DCBD8CFF702D49924834C8F |
SHA-1 | 0A0F4FF9C21CAE5A404DFFCADB1F98E3D322B119 |
SHA-256 | 986FBEF4CE7A5FD343FF4BFD849733AA568E58B7BC3A7CD6F7E06B14D1453489 |
SSDEEP | 24:EMdzWu/hVrAd2GgVJm1/vh3PNvNwgNpwMnzLWOCu5hkBkhgdB:lR/hDVO/v5V9NlzVhk2hw |
TLSH | T1B9113341B22B092E93044AF7ACE73AAB277153930F241D4C930AF3781DC6C4E062F165 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-opengm-doc/html/_images/triangle.png |
FileSize | 117035 |
MD5 | D932231F10AE827307FCEAE8645974BD |
SHA-1 | 0A9E8C8EDCE4CE703DF37CD5C6546B4288C98214 |
SHA-256 | E5CF6E76F15734901FD4E354B1BD8BC84685DBDB7EC1E9063C9014241FA0EB68 |
SSDEEP | 1536:imiu6m1nPXmMZr+d+WBwPIPhdmxGD/1PG12NKzuHpjgX72BIdGQ+XpUH90SzKWdZ:ybGnuRZuUTmLGKa+NqpUSSmWdaIL |
TLSH | T16CB3CF635B53B8E6CD19D432ED690BFC922C08E9181E1F6203FA5158EE675DD02E22F7 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-opengm-doc/examples/new_visitor.py |
FileSize | 312 |
MD5 | 0BE82DBDD7C8C1B4137682D0A48882A2 |
SHA-1 | 0CDB6183A84961978FD3144BA6251228C3534987 |
SHA-256 | AEBBDA1C62F7690ADB9E475DD46B7B8521C9A549AAFDCE37D81A6E5FFFDFC78F |
SSDEEP | 6:uMlLzDBji3b2KXMeJbrIqYzp6CwAXHrvvUL3A0sGIaHoTF3L4xdVJRtuDJav:uMF6Uzppwc7vUUGIaHo5743jjuDAv |
TLSH | T120E07DC2E7280557831D0AA85DA533BD1B3F7052B9582C045A7563E00CC5EC93CB42E6 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-opengm-doc/examples/mrf/denoise.py |
FileSize | 6728 |
MD5 | E541081C9638D1B3D6C50C4E2395339D |
SHA-1 | 145886BDDA359DC1B5BF6115709E644168A5977B |
SHA-256 | 597ADD816D4E7545A2BFC930449915C8E998CC15ABC3B7AAE1E66755FAD06DB1 |
SSDEEP | 96:JAs2mB2HGNmlDwvV1UQfeFQiLi9hsAnK5lWtQ8ROenFYAefAbmp2uES02jmQbva4:ugBDmQiLi3KSC8rFYAe4bmp/aOgyJB |
TLSH | T11BD19617A9131A2FD31B45694CEF6AD32765B0031698381D797DC0B81F06B77232EB79 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-opengm-doc/examples/tutorial/Irregular Factor Graphs.ipynb |
FileSize | 803728 |
MD5 | 6F99E96FD98105F39B70FCAD8DF64B46 |
SHA-1 | 14EF5A912FC8CEFE5CF30164A70E42ED07154A1C |
SHA-256 | BCC4A1DBA9733D85368D6A38DEF15BDB5CFCF42DFF223598D777DA6D478DA629 |
SSDEEP | 12288:s64ckNXcu2FAzNMqMXTk5RANcXbgx+r4wFSXwrZ/4GIj6drgKMqNhjrNPgJ90Gsu:nYcLq+Tk5Rg6b6XU7rMjjKhjrI7s08i |
TLSH | T1060523309513EC95CA6D02F2F1BDAB8E3C6B62F36858354D750C72286BC8B1C6D36A5D |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-opengm-doc/html/_static/minus.png |
FileSize | 173 |
MD5 | 4D6BB373BA886C47D0D4FAD872D85C9F |
SHA-1 | 15E1361ACEA824168E53E54E523386F4D79DE145 |
SHA-256 | 1F7AA8F7EB4056CC373428D9843DDD180960237E7AFA8CFE55F264451FAD675B |
SSDEEP | 3:yionv//thPl6Jxnz2m2/uDlhlbJrGR4ep1f5Dv/WkTadG7EV1h3lH1p:6v/lhP8vzs/6T+7bBCk6G7EbVp |
TLSH | T18CC080EB47C09D7ED19D103100170147D5531E8E36425509119E445502B773CD655375 |