Result for F25843340927DC4DF99C817A3C41B6E56AE56958

Query result

Key Value
FileSize1406856
MD58F5B4D08D0EE0586334112EB8854A2A1
PackageDescriptionOpenCV documentation and examples This package contains the OpenCV documentation and example programs. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction.
PackageMaintainerDebian Science Team <debian-science-maintainers@lists.alioth.debian.org>
PackageNameopencv-doc
PackageSectiondoc
PackageVersion2.4.9.1+dfsg-1+deb8u1
SHA-1F25843340927DC4DF99C817A3C41B6E56AE56958
SHA-256806768C708977F0EE92DFD2A54E11B627B686619AB14BBEE865B04BED306C0CE
hashlookup:children-total105
hashlookup:trust50

Network graph view

Children (Total: 105)

The searched file hash includes 105 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/share/doc/opencv-doc/examples/python/camera.py
FileSize256
MD5D7D55CEB5041F80D87EABC1911C7D044
SHA-100A354319A13C1944070F346971E406A40AD09B8
SHA-256AC9C359C14C51891DD68A429D8991ADD0001B958D053F2FC4140331E24CBCB46
SSDEEP6:HWaHweLJV0EWGovub5NXhfvctAVE/FN/LnXWR+J/:HRVHWGovUNfvct7WY/
TLSHT1EBD0973DB12F8221CA72848806C7F0906AB02C032D201CBC3C28DA2CDF04292EB90E48
Key Value
FileName./usr/share/doc/opencv-doc/examples/python/motempl.py
FileSize4033
MD51353CB1AA3923E113479BEBA586DC873
SHA-10B2B697B73FE8806CD22A79FA7CC0DBF51BB3CBD
SHA-256DD440D1402CE888F3771F3339AA07DC45C3662678BDD8EE7995BD1ED9E515A9C
SSDEEP96:loGvKfk+FlKQZ6KFrITnZMAlDLRTmZi9kD:lNvKfkYKQckITnZvlvRT9kD
TLSHT19D81521AA43900996E736448AB47F002DB7671237F8D6E2C3C5DD3981F54336D3AA76B
Key Value
FileName./usr/share/doc/opencv-doc/examples/python2/asift.py.gz
FileSize2137
MD5F6495A665D8CE8AFFC5F838A653DB99C
SHA-10B8C7B58CA9FD254EBDCCACD4EC8DF4F261B89AF
SHA-2561D5ECDDC9F771758AA2003F3E58B50E0C8023282006FC03A7CF752C9E5079C10
SSDEEP48:XU2f6ihRuzHZ2+IqJIvOBP40gYyzDug9wtCbmnbp5zUQf5:k2SnTLBBgNYYPa0bml5T
TLSHT1EA412988D5837D5B894FC01ECB891119B23C1136552FA42F0BE0ED99A2FDE843B5A0F1
Key Value
FileName./usr/share/doc/opencv-doc/examples/python2/facerec_demo.py.gz
FileSize3091
MD5C6CE6D613EC8634AD2D8214EC7A41B5D
SHA-10C6DEAB27C012EA1C2719032D193679AE35F7BC6
SHA-256DEECE2E0582B05DB4CF59DCF735167C33A10E780E9D890A9F9D426AED2FE6BEF
SSDEEP48:XCd0Ro7aI/H7/qJqcwZjaOBc1iR0bvQJNebAPN1NpR/szcAzWoHDk+GN1pPhtdeM:LRNMH7ndBZGvQHHNpRIcAXGRJiztC
TLSHT1AA514CBE842A51C2C232D65B36C47C306437A68C1EA9DE26288F87E178B3C345B59605
Key Value
FileName./usr/share/doc/packages/opencv3-doc/examples/data/licenseplate_motion.jpg
FileSize58364
MD560D2BF985EA56E71CD934115F2262D6B
SHA-10E40D252B88EFDA33BC16A01880F84790E71341A
SHA-256EA6FA9CEA75DF91BEC656D1D3B903111A9C0708C6A3B88F405A5156DE38FF9D6
SHA-5124DF3FB1D2D5157700C0CD61E85355D904D20F133F7942A97B62EC7267594BE128D521AF60D30AF3285C694756FAD7E6864FEF7F2CEC967435B7AB771EC719111
SSDEEP768:vf1c0EweuCqnt37KYYyxgwqjk9QFoga6CBVO3suSy+uIBxs8rZVjgrQAnK9Yfszi:vnJ/7pNgwqI9QkBVss3ybLDCBxKr6hX2
TLSHT15D43F271B2455FC3F8D1D138C8B5EB82A3659B243B71A65C7AE03574AE21BCDAD0DA10
insert-timestamp1727077516.0124738
mimetypeimage/jpeg
sourcesnap:QVh8wzk2wzvCikBVwEpgSLzWlPDJfRTM_69
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/share/doc/opencv-doc/examples/python/ffilldemo.py.gz
FileSize1514
MD540F5A11EECA837CE77082BA0624E7F50
SHA-10EA925F0A7024FD5D3E26DE15DFB15DF251EE2EF
SHA-256746ADF0C38E3FDB7200C2BC7E7F56B6EC200A974C5373AE3C98B7D108F982A79
SSDEEP24:XgszE5+2U5vzE5X62PkrCysVplFgpA9zt6zYwg/T0BrPd8pV+8UVx14h5d9Dr/8W:XTAiJAl62JysVplF7956YxwC+8UVxyXz
TLSHT12A31FC2545271C77FB03DC9940C8405B053136C91567907FF39352546F9236FC264E75
Key Value
FileName./usr/share/doc/opencv-doc/pattern.png
FileSize22255
MD51F64988417FC40E05B7F4AB2E62EE843
SHA-11024BD6CC4AAFE356E64A9A76ED25BCF5EB1E99A
SHA-256429DB0B1803258C4FF58E1476E151BCB4647FA3B7F24F8D964CB166B698794B9
SSDEEP384:HVYlMISdwfuqykg/Aumf/6zWTOrYU3l1T2FSVvwh17kuVhgM:1YPum366TOrYS1T2Iu1Vhr
TLSHT110A2543FCFA3546DCD274A309A270F5932FA469CD7A987C88EF864761E47D84C0E8691
tar:gnamewheel
tar:unameroot
Key Value
FileName./usr/share/doc/opencv-doc/examples/python/convexhull.py
FileSize1814
MD5173DDFF909A29E66D48F1DC295A2DCF2
SHA-1116E370B60FF51B3AC908EE8858757DC375B7EA7
SHA-256DE72ECEA1B4AE937B2803CB25E6D16C0B81DD32D74C0E09AA46C0B6B9A34259A
SSDEEP48:QqZODc5aiaKFBLvn8r/yAZ8QhZh1ThZhXrn7eIpWBiLiV4fWTqd8:QBDc53aKnO/yE7j1djbdpqiLjg3
TLSHT12E316231E8A117BE06B2404A3ACFB46AD2B668130BE55B5D39ACD604CF792058B3979C
Key Value
FileName./usr/share/doc/opencv-doc/examples/python/facedetect.py
FileSize3480
MD5A1CF45FCC0540315B08A8B5143228155
SHA-1136BEE48C183490D2304940BBB519941E4AC8C82
SHA-256099CB13C7E4105531B345E8083F94FA63F40AC47B077BDE0E8FAFB79967CD24E
SSDEEP96:LhMYFpk3GJJkKAm3X/92PlqKsu7CoGU11:LmYFpk3txEIqKsu7CK3
TLSHT16E717317E823516ED373A1A839AB94065FBD64233A068F74349CE510AFB41B0D3F679D
Key Value
FileName./usr/share/doc/opencv-doc/examples/python2/demo.py.gz
FileSize1804
MD58F850BB948B07B65541334782CBA04A6
SHA-114D0457AAA9458D9F53657E54E601A4443087B2F
SHA-25655F3279AC62305067B3C49FEA691E681CAD3F1DAD4E03AE5F7EF2A04BA31D840
SSDEEP24:XTudXKUJvwK4IB8Rugqj127FhWyPX9+kofKWOW0e9bqV1iGzKwGDcbFdJh0q0j6r:XU/65RugqLyokjy9bq2Gfdh0q0dk/I0
TLSHT1D53129E1A76EC485C09AE4F416AA24D9504D138A881C43B1718D9BF0C0367CA9E3DB90