Key | Value |
---|---|
FileSize | 4167900 |
MD5 | 17EE85CA4512B5E1DEB68C8A2198AFD6 |
PackageDescription | Python modules for image processing 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 provides the Python 2 module. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-skimage |
PackageSection | python |
PackageVersion | 0.9.3-4build1 |
SHA-1 | 4FB43A0F2138B9451F7B9785B8E471F5060BF309 |
SHA-256 | 9DCFDCED148138496425382CE59D28B855240B8AC2B44C8FC9911E663192FD86 |
hashlookup:children-total | 299 |
hashlookup:trust | 50 |
The searched file hash includes 299 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/skimage/data/palette_color.png |
FileSize | 1019 |
MD5 | 76F8A473FEA96A6D4D56FD7DE335D51D |
SHA-1 | 007A69A719C8BA600EA78177DB63EB5EFFD0830A |
SHA-256 | C4E817035FB9F7730FE95CFF1DA3866DEA01728EFC72B6E703D78F7AB9717BDD |
SHA-512 | 2DF21426B67E6840EEA897ED70EF43A394D887A5FB03388C3770E397F1582BE98D1B67A24B23E7C48DD3A15EB54D01D967282B4AE97F5D419835DF4D51EC74D1 |
SSDEEP | 24:zNQV89IAobX+lNGER+789czwlZEqY+g7AtN1dtA04aqXMgvOG:5+k6bulb+78ZEqY+g7cNvt4OG |
TLSH | T19711045615B0E484CB9E80F6C4CF45DC219CF105A0B1FAC32E81DB7642291EDE27EE15 |
insert-timestamp | 1727100923.7250621 |
mimetype | image/png |
source | snap:5ayyCKkoPNlpIhUtUAFsao0RY7p71g1a_157 |
tar:gname | bin |
tar:uname | root |
Key | Value |
---|---|
FileName | snap-hashlookup-import/usr/lib/python3/dist-packages/skimage/data/lena_GRAY_U8.npz |
FileSize | 15131 |
MD5 | 16E1BC7DF601F7FC6DCBDEAFB1EC9BBB |
SHA-1 | 00E6B36D4FC2B63B2E4EC474A5D4485B0FBAFCE7 |
SHA-256 | C46CEB834AE496E54F578660D7E4CD8E3297132166A92014243AE33AD92F3CEE |
SHA-512 | D63D93E8835380C83F2E88022A1FFE6DC79827BE3532456B5D22FF49CF8D8AA1E98923C2070C46CEF4ACFF070EA31CFD9465D0362533E5D63CCFB20188FD0ECD |
SSDEEP | 384:NRnwr9AMuNB7id+9tJF44TxyjWwkiOupBXh76jEPqcNhk:NyYB7Ht8jbgGXkwqc4 |
TLSH | T13562D0895756A586DD026D232BAB1EC9AAE84314F1D01F3D90CE3DD63EA36073D361EC |
insert-timestamp | 1727100923.6938152 |
mimetype | application/zip |
source | snap:5ayyCKkoPNlpIhUtUAFsao0RY7p71g1a_157 |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/skimage/segmentation/slic_superpixels.py |
FileSize | 6442 |
MD5 | AE5FF612AB2C9A0D7CB05A924D6CBA90 |
SHA-1 | 01CE7962BB875CD9F7ED23C5DDB34CC54FC37707 |
SHA-256 | 3740F5486C4DE186B97389C0FC957E8E9DDBDBBDCE6DCC823A6881FD0D1E7F3B |
SSDEEP | 96:r/w1HKi6klRM25B1VdVyQyc6LbVIAbrrY/X7+G/yy8xkEiaVvR1cQXgqG/:rWK4M25B7d0QjpAbYfL/8JfvvcQXy/ |
TLSH | T1E0D1C70A5E4327374523859379EF904363EA41A767518368344FF8142F6AB6AC3BE7AC |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/skimage/draw/tests/test_draw.py |
FileSize | 21957 |
MD5 | EE6F124D2815BF73F04AE9782CFC9F00 |
SHA-1 | 026E620D94EB46997B546B30F27BEE9BBFF68F7D |
SHA-256 | C88D27336754C115E3EC080E7718D149F6429955AB723BF24B606D8A73D6D7C3 |
SSDEEP | 96:fD1RfRpqbUVWv5yBACQe5JFe+lae5fbIyfhIIHfHGqPepfpf+74ZI0IEb80Ip6Z9:XBV/LdKR+74b8Ib5lJ |
TLSH | T14CA24357174A00BCA202E2AD48D11E8752DAD27379BE6DDF797D88C2DF2E82D237152C |
Key | Value |
---|---|
FileName | snap-hashlookup-import/usr/lib/python3/dist-packages/skimage/io/_plugins/matplotlib_plugin.py |
FileSize | 250 |
MD5 | FAEE1D6D77AEA46732F59C6EDEDB7350 |
SHA-1 | 02E355EE45914E8D8A2D07EB01C60998534C8F53 |
SHA-256 | 84E93DE6B1EF7101A6F0F22982CA9B263C708E0ECA73DE193FA0DEE52A8257D4 |
SHA-512 | 9516FA9CEAB18C2E34FECE7CFD3398E35D5D955062B8C801E34538F962BA10A7551917E1414DAA3890D3D6C412DB98A8B6F897B12C3692606FFFB4A7F968A19E |
SSDEEP | 6:yVJF/Yt0AzTGaZWkO3z1zdONOErJvxahtFu:GJZYt5zTFZWkuzFd8Zv8ru |
TLSH | T156D02B6E7638B941C10315357D54753585607E57880132A8A141D6C54F4902AC937E20 |
insert-timestamp | 1727100925.2274845 |
mimetype | text/x-python |
source | snap:5ayyCKkoPNlpIhUtUAFsao0RY7p71g1a_157 |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/skimage/feature/setup.py |
FileSize | 1748 |
MD5 | DF3838E1075BF515F19C9614E0512AF3 |
SHA-1 | 0457CBABC49FD6EE6CAE4B7EAED14C085579E7D0 |
SHA-256 | 6F1EF86C839DFB5A91D07855FADA2D177BAD261F4173657DDFADD759B676FA83 |
SSDEEP | 48:AZZnBfLHQM8xFRSfJ22DSfVSfdng2HKLagUyaaVBIrv7+:G17QpS5StSVnbqLaWarv+ |
TLSH | T18831A89AB0BD40721186472ECC0B8CA55AAD7EBB5B02659C35BC33449FDC1E88637464 |
Key | Value |
---|---|
FileName | snap-hashlookup-import/usr/lib/python3/dist-packages/skimage/graph/tests/test_heap.py |
FileSize | 1118 |
MD5 | 118A420F0084256B925B29607C1DA171 |
SHA-1 | 04E915528901DC9A8FAA7454A8DB2B9F5F960C44 |
SHA-256 | F230D8692AE2F5A1902A7D6718680BB78E2CEED09D0A849B61B6A53F791BF118 |
SHA-512 | 6356D9CE6253737424E5F0DF9D8284CF93308CF0C8156B1E34465A8CC6C3EC7423AE8298055532A08C3EF6F642E7A7EBEA1F778DA5476A2D1F8DEB99B0450133 |
SSDEEP | 24:So33GU38JgTFp57xUyp2lF9FTKJ9JWfPNBfCgpkZ6/v7yX0pJAI:SoSeTFvx52lF9UJ/W3Vk437yX0HAI |
TLSH | T1E52165968C47012EC2B3452919EAD0A0572D748FA5C00C38F5DCC3026F7263107F6FB9 |
insert-timestamp | 1727100925.55538 |
mimetype | text/x-python |
source | snap:5ayyCKkoPNlpIhUtUAFsao0RY7p71g1a_157 |
Key | Value |
---|---|
FileName | snap-hashlookup-import/usr/lib/python3/dist-packages/skimage/util/tests/test_unique_rows.py |
FileSize | 1127 |
MD5 | 1BDD274F0C641C4CB7542BC2D51369BB |
SHA-1 | 081A862BFCD604B9A6820F3ECB30820A89DA8965 |
SHA-256 | F99881154390E2829FA85CBD18F6B0324BB6464C23765A865178465B349C18B3 |
SHA-512 | 2CE73F5F1E16C364320D5068BC79C80D79C7AC37271AE6F057D20EAE45D0EDFFBEFB363A119A70A9B84670D3E92E2BCB3A4B69FD688753A9B816EBBEC734F343 |
SSDEEP | 24:rOV4VU2jyZG2SjZ3VSIVjyZqSAZ3VS4LWSNVSff6JjVlfK5Viah:CV4VU2MGFd3VJMBm3VflNV8CV1uViah |
TLSH | T13B218E5757D745798607D0D9A0398A334179CE63D50844CBF12F2D236FAE0BE1E76074 |
insert-timestamp | 1727100926.4052346 |
mimetype | text/plain |
source | snap:5ayyCKkoPNlpIhUtUAFsao0RY7p71g1a_157 |
Key | Value |
---|---|
FileName | snap-hashlookup-import/usr/lib/python3/dist-packages/skimage/segmentation/_clear_border.py |
FileSize | 2072 |
MD5 | 691A57D6E0331371C3DCFED71AB16389 |
SHA-1 | 0AB12EFE44E05DF3F19094F05A14E1AD1DB44E4C |
SHA-256 | 2DC1B1CFF70B759B4720F68364605D8EF44C767930254A35A6808DE953F0E674 |
SHA-512 | A7FA05792D140365843EB9B3CCBAEEE4EB8C15C58A6E6CBCF8D54294F6877D3A8BDE3CB2795F6B64529E533E565D0B817943F7A9203007A33A37C940C249E352 |
SSDEEP | 48:973aHnLaVJ7vrYAOZspPBYHXGXKSIzwfM3pp:973qnLaVJvrYJZsp+HXG6SIzQepp |
TLSH | T12A41A827AE41096F2212C39E30DB8E03C5E0C0379A5C92AF347D95E8DF6C61D93B924D |
insert-timestamp | 1727100924.559472 |
mimetype | text/x-python |
source | snap:5ayyCKkoPNlpIhUtUAFsao0RY7p71g1a_157 |
Key | Value |
---|---|
FileName | snap-hashlookup-import/usr/lib/python3/dist-packages/skimage/segmentation/setup.py |
FileSize | 1311 |
MD5 | 3888754B12E9AE8DD502972871645D90 |
SHA-1 | 0B3858EA19E932467B8C2C9A96913398F7C75B4C |
SHA-256 | 881CCBEA48D207E98A4AA818AF0562EDD7171AC115173A33B4A8CBA73929DEA4 |
SHA-512 | DAAE6CD7C36145868140F39F8D3312135EC0F62856DCFA9C8E684D9EEC5580B7A386C30C644B03FA9E61A2CF08DAC8F47290733CA294351DD1E9ADDEC266E52C |
SSDEEP | 24:OeAZSeniMfiWoJHt7sHl6iTXHil6iTXRHh4l6i7yaaViMp9O6WQMsrv/j+:AZZnBfWFtw0SX5SXdBYyaaVBWQrv7+ |
TLSH | T19A21EADB14AC04B310C34B2EC84B48A656B97EBB5B4265AC74BC73046F882F84767034 |
insert-timestamp | 1727100924.6571143 |
mimetype | text/x-python |
source | snap:5ayyCKkoPNlpIhUtUAFsao0RY7p71g1a_157 |