Key | Value |
---|---|
FileSize | 1315936 |
MD5 | 65042B6E23E4DFB1C2E638FB376ADA4D |
PackageDescription | Documentation and examples for scikit-image scikit-image is a collection of image processing algorithms for Python. It performs tasks such as image loading, filtering, morphology, segmentation, color conversions, and transformations. . This package contains documentation and example scripts for python-skimage. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-skimage-doc |
PackageSection | doc |
PackageVersion | 0.16.2-2ubuntu1 |
SHA-1 | 755A42B3CFD3E6B484764837EF407947E32DF275 |
SHA-256 | 01A0B27515743A5360A5A8F35939F8AF30792B51BA995DF307AABE1228F8B827 |
hashlookup:children-total | 601 |
hashlookup:trust | 50 |
The searched file hash includes 601 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/python-skimage-doc/html/_downloads/1ebad42065afd0a8315899bb73756f27/plot_deconvolution.ipynb |
FileSize | 3280 |
MD5 | 0AA69C1872366230628B0799A61D775B |
SHA-1 | 0029414A4E9725212B52B62457AC70BBDA537F0B |
SHA-256 | A02AFEEC2448E3D9AFEEE7C95949F3EF5E7F75506DF2609C6C8B2D7BC982B5EE |
SSDEEP | 48:u41tXJ5jFhgk2aXdAY/ieFbJ5jFhgk2aXdAY/ie9qCej7idbgAIPJHyZQXg5Obd:5VJLOVatESJLOVatExLn8gRJMQ2Oh |
TLSH | T15F617620ED401DB6065F22B205AF680262B1738719D75E09392D46CC6F4EB3CE2F7F89 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-skimage-doc/html/_downloads/87f73983a94e7a82918ff10b36a85afc/plot_rag_mean_color.py |
FileSize | 859 |
MD5 | 3F3A8E182282FF1A33CBC711D6D5286E |
SHA-1 | 0041C5B427E85732846354CB85DD6C2583922830 |
SHA-256 | A16653FAE122CFAF6781EB983EC7C05DBC2C2E3CAECD1C710836E8464EAB2703 |
SSDEEP | 12:56We5ql9CmyxNEqUmqX9IzGQipe2x47+4g2YRsJ0U+hp3TNLKi8b/Sidm9WlE3Bj:56el9C3X2tEpikH+72YRsMXRjqqXIiH |
TLSH | T12411EF5EBAB8038684A390DC1526889075AF14592E0452ACB50DBD74371CBECCC3AEA5 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-skimage-doc/html/_downloads/337d50b0f19c0873c29e1efc1f17788d/plot_hysteresis.ipynb |
FileSize | 2809 |
MD5 | 22F162C723E4116C146D1A703BA10FBC |
SHA-1 | 00A5DBE0EA7CF487F2491A319F4C603D384A5DDA |
SHA-256 | 2549E25A098DD367710725444167004EDEEA150EE9F12A6A5DEBE1555EBF4129 |
SSDEEP | 48:u41tlpi/8a4Kpi/8pDj4qrULNLMgInMGa8yZQXg5Obd:5t/3QFZULNLMgIMGabQ2Oh |
TLSH | T1F4516115F1508F232DDB1A601CAE53909333545B9F54AD867A3C69BC1F49B2DD232FC9 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-skimage-doc/html/auto_examples/segmentation/plot_rag_mean_color.html |
FileSize | 9241 |
MD5 | AB7611DA2A8D2B4A78A7A4E3C4DC134D |
SHA-1 | 01D99D4C231B2F7BDCF62D013652FD5A3D1A1CC2 |
SHA-256 | 4E9CAEEFF3737C57C03AA9561F7F99B9C0BA8B5CDCE976094E2B70B396CC3522 |
SSDEEP | 192:BgCmhZAnEiDi+AoUu9uVjueG+SfjAgaBPLo:BgCFnI+nvPJChLo |
TLSH | T10F12F0AAAEF2C573403384C7A1AE6F3AB4E2441FD5805814B2FC47B45BD9F88781795E |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-skimage-doc/html/auto_examples/numpy_operations/plot_camera_numpy.html |
FileSize | 9304 |
MD5 | 9F873D15B32391CC8FCB94AFE2C7B89C |
SHA-1 | 03B10483D4D540D682FD06CF10347C0461D22A84 |
SHA-256 | 99F92088ACD5526A72D25A54D032FFC735459CBD41A8BC7973F5100CEAA589CC |
SSDEEP | 192:ocgCmh1nEiDi+E9xdT90YSj1j3toec+BPLo:ocgCmnI+E9x3qRnhLo |
TLSH | T10C12FCA59EF2D133413784C3A1AE2B3AB5E1441FDA904C0473FC47B89BD9F88791786A |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-skimage-doc/html/auto_examples/edges/plot_canny.html |
FileSize | 12279 |
MD5 | A9DA609A97D23823AEA0CAF6F5C58F4B |
SHA-1 | 03B8F8AF3F31499C3E0FDA6FE16E125923169432 |
SHA-256 | B977005E729F2979CFA6D573DA22DF05AFC60CCAF629A92A011C062E49F3D202 |
SSDEEP | 192:kgCmhinEiDi+tnx420Xt9uL2aO4uXA1Wwgb1/NFBca+TQ/BPLo:kgCRnI+tnl0DHUyv1f+AhLo |
TLSH | T1654274E5AAF2E537003384C3A1AE1B3AB5F1546FD9D0480076FD47B45BECE84781B9A9 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-skimage-doc/html/user_guide/tutorials.html |
FileSize | 4589 |
MD5 | 000AC2B14A03511CEEF02EB6CDC2492F |
SHA-1 | 03C88AEBF6C653B1966F0B4366845185B113DAA3 |
SHA-256 | 727F85B848CA88818B0A41A178D2E9411E8ACAC87080E11497039F344C3B906F |
SSDEEP | 48:4Q/+NvEfOnZkAx8A2DWHY+oWLrEcC1aFLDdC+VcKr8pYmpt9r1WPBhtfwKWciYUp:ROEfAmzDW4w401CicfDnWPeK7ip |
TLSH | T1769155065CE5C897A1124AC2E5A6B43DFCD29217C314EC54B0EC5679AFC2FCC4E2B65E |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-skimage-doc/html/_sources/api/skimage.draw.rst.txt |
FileSize | 2826 |
MD5 | AE43F78111200E125961990452D93C92 |
SHA-1 | 03D23501C9EE18E5355E4B1C822AAD693CEB1D41 |
SHA-256 | 3E9A9CF6B32DCF0318B922BD5BD771F5ECB56C92433C7F6E6A24BE016717058E |
SSDEEP | 24:h4viozw6DCigm/M2z/g33azGtEtp6OSNj3+8x1VM5MjnMkdYCpdXLp6GHHk/:h4vTz9DCnNnazGtEtpRgqOjM8ER/ |
TLSH | T1B6513E00AD2E29530065F85BB97F40CBD2FE78D5B171E3311056A1826DF2A9DE4ADFB8 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-skimage-doc/html/_downloads/abb5bc78e950629f2a9963bca3ab9a26/plot_shape_index.ipynb.gz |
FileSize | 2203 |
MD5 | F6CB668C6CAD81EF99B50438EC1884DA |
SHA-1 | 044D388AAE2D3A4F062ED2B95A11277A609DF6C6 |
SHA-256 | C7059AE455DB7F4C6B79D6A023671B8C158E137E7801A7487B05A3CB8232063F |
SSDEEP | 48:Xwx4QDZ9ZaMdqxl45J604O74ctMFDbOTBUVPWdzbq3qKxbACmh/2JQUA:UPDfZQxlsJ60dBoC9Usq3qOsXh2QUA |
TLSH | T1F44149BF4468E752C8E89330539BAD95574BBEF60B94368B114CE0223BD1A2380D4BB2 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-skimage-doc/html/gitwash/maintainer_workflow.html |
FileSize | 12967 |
MD5 | 9B1C5288DBBAC94380447B9DD14C3DA8 |
SHA-1 | 04C7ED6C1A29D6261BE8A52474CDEC08E1C210D4 |
SHA-256 | FF36C1A28164FF9CB54AD1CE200BC97FA01208BE6F63BD1ADC8D61574DD27605 |
SSDEEP | 192:w2AmABQrfDn+ZNhNT7kb6rkumujwkPPLRfmutBRkuR7SyoizRyX2otNzEWcmo9wq:w2ALQX+ZNh04P97ZzANzt7u |
TLSH | T1F242BC96A9F28437413380C792BE6B35B4D2846FE5924400B2FC437D57DEEC4B91B8AE |