Key | Value |
---|---|
FileSize | 32161864 |
MD5 | F1190088A27DAFE35C6567DE691C1CF9 |
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 | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python-skimage-doc |
PackageSection | doc |
PackageVersion | 0.14.2-2 |
SHA-1 | F1A470ACF9DEB553E6A3AC6791950857E33973DA |
SHA-256 | 06E1F5DED083C2A04E164601F10E1BAB524CA5E78D38A22D09ADB47E845608C5 |
hashlookup:children-total | 784 |
hashlookup:trust | 50 |
The searched file hash includes 784 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/python-skimage-doc/html/_images/sphx_glr_plot_template_001.png |
FileSize | 100430 |
MD5 | 131411BE10039F1007EC65EFB351D4AC |
SHA-1 | 002C801637D3F6C455E7FFF3A71BEE0E10553DB5 |
SHA-256 | A798758EFEEA2AB99C99A15A4C3510A140D705B49AA917D345140677C6F02DCE |
SSDEEP | 3072:lOpu8HTk+HRFjYk5573SgbjOoB6GibL1a2/0:QdH/ZPbHiI2M |
TLSH | T138A3026DDA548FF1E8BFA65469DF0F754F23A424C2A85210E50CE6F06D18AD83E16F43 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-skimage-doc/html/_downloads/c4d5fb8da8273c4d44faebf1547127a9/plot_cycle_spinning.py |
FileSize | 3171 |
MD5 | AC6B70E24CEDFF571137D0871B01A8EF |
SHA-1 | 002EE3C78478B5268CAEC729A9BE4CE78753A5F1 |
SHA-256 | 8376740EB568E24E52B959985CFBFB4F7B047F33F153977E0E24939E47E77568 |
SSDEEP | 48:/IMsb1cwQL2Q0bwD34P5yTO7GNkoy0jLUHMBbHxXJe5:gLGr7m54OaNkoysIe5Y5 |
TLSH | T1B051B91E36842F6A63510534E8CB3DC572246262470357D5B52FA2BB07857AC52FFE4C |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-skimage-doc/html/_images/sphx_glr_plot_inpaint_thumb.png |
FileSize | 68510 |
MD5 | 08C1467A30F981F32E879DF1E21B61D5 |
SHA-1 | 003B7EA04F988F54DDA533A813FF6A7BA92FEE25 |
SHA-256 | 0A862E6E43DE78202EAECDB90AFAC0A5C12AFCB76D165249071A21E81619A78F |
SSDEEP | 1536:+Gyk0IMUYR03EevA5rCy7pC7ktR58g+VNbjR:+NkxYR+EevA77pCktKVVR |
TLSH | T1726312E9DD6117B883FBFE0BA80786C97C330AD7D106938A8C6FEB8D6459CD10494E08 |
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/3483a7788a2ae0d2f68f29d842102ef4/plot_label.ipynb |
FileSize | 2464 |
MD5 | DFE589012A2F6FCE11DD90A60779186D |
SHA-1 | 0045D3C73B9D9E643223FB6C9B7A934362010B78 |
SHA-256 | C6ED8974B04E04B5BD83595DD857B49A5CA2150FA62CF8F1DA2E063B6927B160 |
SSDEEP | 48:u41AI23P8EkHgT6Ag/dnDlwfAJ9nZuHnfqyZQXg5Obu+:5k8EkHg8WA3n4HnfZQ2OX |
TLSH | T1AE516318FCA00D63E6D959AC38AF8501EB7321574E08AF1DBB1D0E9C1F6856C94707AA |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-skimage-doc/html/_images/sphx_glr_plot_thresholding_003.png |
FileSize | 161375 |
MD5 | 841C845D201C4F42A83677FFEE7EBEE9 |
SHA-1 | 009E81C3820DF30C81A3BCCEDFB9ECABC080F167 |
SHA-256 | 2279695DA2C7F5CE0B2F37C3F6DE8A309506F2EBB63703EEF0997AB0DCCBAA56 |
SSDEEP | 3072:PxFrFlC7Kt7pCL04uf8z7XqRvUWNwUlfPuLUWi7:PxFJ8uxpCFu0z7XqRM9UFKBi7 |
TLSH | T1FAF312C3520D4D27EE2B4D38C7381923763B501A26BD3FF8176D71D0AA0AB952DA56B3 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-skimage-doc/html/api/skimage.segmentation.html |
FileSize | 126897 |
MD5 | E2EE1D6D7C9BD807042C6282F2472940 |
SHA-1 | 00AF270B117A985EB48F62840955107C00641EB8 |
SHA-256 | E414426F0E42712814DBDA53037223A967E296908C6DBFE567B44577590606DC |
SSDEEP | 1536:8CrwPzlFoa2ZlhoWTzPhxyPgVc3G4lxBPWPNw6eOD3H7C8LfKFEQI7Yz0UN0ifYm:8CrwaVp+/O4/AzQO2DBAvqly/gZ |
TLSH | T1D5C3FA94EAF682770437D4C766BE0F35B1E14429E8820985F3FCD3A943DDC50792BA2A |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-skimage-doc/html/_downloads/6d9b19fb02f2d04dbb1735a901c6e35f/plot_matching.ipynb.gz |
FileSize | 2216 |
MD5 | 2514BEF0726C827F173C7A001EC87989 |
SHA-1 | 01310586AB4F22919477F2663CF385F84A3367C0 |
SHA-256 | 2FA712EB1D786C07917EE57CF297AC687E0E3A35D6AEE53C0D0558DE5B825807 |
SSDEEP | 24:XhAmNpcOpgn84pWuDlcCFkPKSw+HzMMrOORnyAK3SFpTL9JuR/WoDa6zml67fjrm:X7ICTrgMnmSFBjuR/WoDeg3r0fmmK9ux |
TLSH | T18D412B975C8854242979A1FF75BFB9379E327010220BB8F956C9016CC10B502677AE6C |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-skimage-doc/html/_downloads/24ca1b7e5aeb1f02383c743168847170/plot_ihc_color_separation.py |
FileSize | 2484 |
MD5 | 045AE9C64492CCE1F2250A8036165433 |
SHA-1 | 016B562F7FCC569E29F21DA3F1291A7D8A5E197E |
SHA-256 | 9D3BF68081A99A277B57EF4EBF329E6F7A0C1A0726C3D5CEFC67D24B3D3D1494 |
SSDEEP | 24:Qgsu+Mut4Qe+2DbAhBv9hNzsjMCVlOSHZgotYPUDTWGjXlekdlHARaFEUKwydWa/:aHpoAhBVhNYkJPmXsk7HSa+Uj94iOR |
TLSH | T10551620B3E0B161603B395FD95993DC72F72A1613C5B4B27352F919423E8BB9D2BA320 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-skimage-doc/html/api/skimage.html |
FileSize | 31103 |
MD5 | 019F5F8C030A2BF70E4257799888049F |
SHA-1 | 01C08B6FB7AF538996BDD5A90233B1BAA4D29B62 |
SHA-256 | A6C0D9237E004424767D9D7304E2484C03DB17DB680AADFA83B191ABA44D4D2D |
SSDEEP | 768:NCAIX+ZtFAF9g79zK+rSg8rSZKUMrSZKSrSZKrrSZKerSZKTrSZKB1rSZKmiTz+v:NCA7t89g5O+RFEVedJ6A3 |
TLSH | T13ED2931568D0093B0A0761D5FB9E0F39B6D6445BE2A00B91FAFDC7BA5352C90E13B72B |