Key | Value |
---|---|
MD5 | 8C3EE159330B341C4BFC18B1ACFFBEAE |
PackageArch | aarch64 |
PackageDescription | The scikit-image SciKit (toolkit for SciPy) extends scipy.ndimage to provide a versatile set of image processing routines. |
PackageMaintainer | Fedora Project |
PackageName | python3-scikit-image |
PackageRelease | 3.fc32 |
PackageVersion | 0.16.2 |
SHA-1 | 34B5F622843DA12A104890A53AAE6D7FD30C5D51 |
SHA-256 | 82C7A50411B7818169C73132691EF21F4584D3B578B1F9805BEDA0C3BCAEC7F3 |
hashlookup:children-total | 1155 |
hashlookup:trust | 50 |
The searched file hash includes 1155 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/skimage/measure/_find_contours_cy.cpython-38-aarch64-linux-gnu.so |
FileSize | 211224 |
MD5 | 75071548DF7EB15707945A2C1AD7D19F |
SHA-1 | 005987B6190BB20748C58DA334FAAC6F81721351 |
SHA-256 | 87ADBAD797D304F8CD30102365761394FA72E5CF8BE8D861ADB16035502901CE |
SSDEEP | 3072:mw7L1HXURS/q6cd10ualyK6c/GFy6+7Btcf1M+MDswyoyAjEQxcwGhsp:r1HEwZc1kypcn1t7DsYvE24hsp |
TLSH | T14E247D2CFA0F6FD2CE46D2785B6A8331AB33548493C9D2936616E29D77D76C78B39010 |
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 | ./usr/lib64/python3.8/site-packages/skimage/restoration/_unwrap_2d.cpython-38-aarch64-linux-gnu.so |
FileSize | 210320 |
MD5 | AA82FEFAC053AF4CDA32784C0198504E |
SHA-1 | 00C5231B85EABD6A93CE8BDB81AA17092161F073 |
SHA-256 | 212EC98F5234EAC9DDE2D431C98F49C35D8B1C448AFA542A4EA8035567CCDCBB |
SSDEEP | 6144:czy1WghcMChpeyf1oSBS2/M7eu11JLDnE1evg:uJ1kqLBSwM7eIJL7E1 |
TLSH | T1F3245C6DF60F7F92C90AA2799FAA8271A723144493D593932112E6DE77C77C38F39810 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/skimage/registration/_optical_flow.py |
FileSize | 7781 |
MD5 | 08F7CE3439B5E0D1F3892F5924D26FD6 |
SHA-1 | 00F2E32A129504E49A369B38A67BC45AAAE67362 |
SHA-256 | 5F330471C09874AE8E961AC0E171B0EBF6C95CD14CF92C892CBEE43364BABBF1 |
SSDEEP | 192:s2zSexEbKbUYGD7Tkro42Kq2RSexmbK3G8m0nl9lWq1:7SexOKbhGfYr3xrSexIKhmclrv1 |
TLSH | T149F1961A4E87143A8603C8FF74CF025A965A466F316D9329345E61184F93E35A3FF2AD |
tar:gname | bin |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/skimage/future/graph/__init__.py |
FileSize | 387 |
MD5 | 00F2FDC97278E478E70E36BB4122793C |
SHA-1 | 01077E953B4CC2908E1722D066C73211B0AF87D6 |
SHA-256 | 9E7AF2E0F73CEB9133D173084AA1AEA8C14B850633C2A0C20AB701A2A19FC94E |
SHA-512 | F6E3785804C8E1EF8057E015917A42DA019EA231B51DEEC7059856201A5A32509DF3103B06878CB3BC020EFFC61B85EF126CA32A9FC26473F2516A3B237A9398 |
SSDEEP | 6:1L4HjJiBdygzXrFJiSELKL4JibDLLgwRPlHNccdJgsLfrJfVIELkg:1w9iBT7R8SEmnbD4wRPlHVUGzJfVxn |
TLSH | T115E086314937890D21F3C55B42AD71E15622562B5F853B47FC0D8A281FCFAED4832671 |
insert-timestamp | 1728267552.0741851 |
mimetype | text/x-python |
source | snap:43LOJ1RcqawGIwV10Xk4HzV76JkxgFo2_383 |
tar:gname | bin |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/scikit_image-0.16.2-py3.8.egg-info/SOURCES.txt |
FileSize | 41501 |
MD5 | E74267296DAB273D4B456335A23F22CC |
SHA-1 | 01650C443CBCCAA9ECE8D183D74CE9F14B12D9F8 |
SHA-256 | 7A7775A1E186FA76DF846E7495D5D30558D8755AF5A6604B938D850430697EE8 |
SSDEEP | 384:URqMnUglxbkxavUrSnWRd9L5rTWFkQJY1:6NnUglaalEnFWFs |
TLSH | T15B1355C1AF25987355C6702AF71F80767173C581F0C0FB6572ADA200A8FA61FA6BB725 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/skimage/feature/tests/__pycache__/test_haar.cpython-38.pyc |
FileSize | 4699 |
MD5 | 7B962628A7A6617856CFEC1ED91BB8D9 |
SHA-1 | 017E81E0E5739EDFA48065E8B3F4B83AE28004AE |
SHA-256 | BFCA374E246875189359A57DBF0AFC84E8238AAD8B55C5C73A5EEAB90A703CE9 |
SSDEEP | 96:IAxQgx/7kVlk+PUBg7gPgq4soy46us3LRHcZ0F4F1SCC+XRnKluScBxwZ:2uC7ugq4Ty46TLKO4/5XnQZ |
TLSH | T120A162C868024C6BFC5EF1F6517917519994DAE81F478A4A3984B03BCCC8822186F6D9 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/skimage/color/tests/data/luv_array_a_2.npy |
FileSize | 200 |
MD5 | 160504B1DAA0AD0EBE0861B0345B5B20 |
SHA-1 | 018A391DA191E7E2DF16104792103171FDEB3C26 |
SHA-256 | EAF05DC61F4A70ECE367D5E751A14D42B7C397C7B1C2DF4CFECEC9DDF26E1C1A |
SHA-512 | 928A87451BD4EE420098C19AD8AF5210B591D6A89A8364BE59BFCC7E0E1E4E95F482EBA61BE71C6F4A0EA6838BEB490EEF2EFD338CFBE2F9D36F34F66EFE67E1 |
SSDEEP | 6:XmnA7ZHlCYiY7BoJna3nlC1yml7C/6wlJDNfIp:9nlBoJna3l+UCwlV0 |
TLSH | T1BCD0C000E43808C4C0CCC13F30B04C40E3E0408E930320C3F90D4B379F101505A65A80 |
insert-timestamp | 1727098333.8100207 |
mimetype | application/octet-stream |
source | snap:0oZietUv4HBZqnYAVhtPwewC9Y3oHM4s_19 |
tar:gname | bin |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/skimage/io/__pycache__/_io.cpython-38.pyc |
FileSize | 5840 |
MD5 | AFE84DEC175B1EC43C8BF84CF21C401D |
SHA-1 | 019FB6D0921C8D635A5681E123E4958CB114CEEA |
SHA-256 | 712A19ACAA6676AC7FBE5311F111E79E594C110DF873B178D1225D8213A70EEC |
SSDEEP | 96:0MNdqhG1DLZ9bxCW5VKIIwgr9W1/SGJS0HVkCW+nvj3LZ9ZFCW9UzVKda8PceNY4:7qhELfxCWnPgrAvkCWsvzLHCW9UzsnUa |
TLSH | T1BBC161052E49132AE9F5E97222CB52B2D7A98AEF3740B30134BCA1246F6F56140BF754 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/skimage/io/tests/__pycache__/test_histograms.cpython-38-PYTEST.pyc |
FileSize | 1426 |
MD5 | 3F3AD7EAE128D0B1F05552183978656A |
SHA-1 | 01B820853EFE49C2CD2712646DAD1262564919CD |
SHA-256 | 5685BDC972FE1ECA3371A5624D8B9F6B0100BAA744FFF45097AB5ADF9FA78FCD |
SSDEEP | 24:iHOZirw/UWVz3MCFmtYUECf9O20Zo33i2KQgWAWmIvSToQWNnSQgFP/kw0eJR5Wa:iHOZCyUWVg085EEOti3OM5QWNSzFPZ5h |
TLSH | T1252153445082AFBEF8ADF275B02D1128D179DAEBF255F3122724C6093F286CC0972925 |