Key | Value |
---|---|
MD5 | E137F2B9CEA6E72C6A15CD22DBD2C6B2 |
PackageArch | noarch |
PackageDescription | Pyocr is an optical character recognition (OCR) tool wrapper for python 3. That is, it helps using OCR tools from a Python 3 program. Pyocr can be used as a wrapper for google's Tesseract-OCR ( http://code.google.com/p/tesseract-ocr/ ) or Cuneiform. It can read all image types supported by the Python Imaging Library, including jpeg, png, gif, bmp, tiff, and others. It also support bounding box data. |
PackageMaintainer | wally <wally> |
PackageName | python3-pyocr |
PackageRelease | 1.mga7 |
PackageVersion | 0.6 |
SHA-1 | 1F4D008482448FDAC7431528CA2A55C5FAE8707B |
SHA-256 | 4728E9D65CCAC8DF431723998BE6D34134E745418D678D121C09CEB2346ADFEB |
hashlookup:children-total | 28 |
hashlookup:trust | 50 |
The searched file hash includes 28 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/lib/python3.7/site-packages/pyocr-0.6-py3.7.egg-info/requires.txt |
FileSize | 11 |
MD5 | DDC267448B6352087F9B0726B4AFFDEF |
SHA-1 | 01261B709185E3414FF07F6B5D3D84463E32D1AC |
SHA-256 | ECDC497FC7CE5DB9A6E1C8AE6EF5C6001EB03B5ADAF21ED0A203D3FBBF4B3B8E |
SSDEEP | 3:AOMt:et |
TLSH |
Key | Value |
---|---|
FileName | ./usr/lib/python3.6/site-packages/pyocr/error.py |
FileSize | 559 |
MD5 | B7EC330B18D9D7148434F248E9A679BE |
SHA-1 | 09D534D152BB78C6C8338CBAFCE664DF5C2DDB5C |
SHA-256 | B384E02E36F2AD28CEDF0BF4626CA7D2448C3CC3CDA1DBEB283CD63FE4574B5F |
SSDEEP | 12:+QUML+noyesH1A8ouAvT9/1oD1A8ouAvT3:+++n7VA8ouAbzyA8ouAb3 |
TLSH | T1FCF06D19D6AA9D4F568B4453702BF82318AE5F02811B30A7F0FD72443F8CC59C287AAA |
tar:gname | root |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/lib/python3.7/site-packages/pyocr/libtesseract/__pycache__/__init__.cpython-37.opt-1.pyc |
FileSize | 5659 |
MD5 | C612594420A64447FB526808D0ECC6ED |
SHA-1 | 1BF7688FFF6BC73DEFB4FC70C6490E853912845E |
SHA-256 | 79261876E8F6ABE115BE89251FA27C183300A6EB719F400A7EA25A768F5DBB89 |
SSDEEP | 96:mDTw4pp4p9Sf1EYf8N5bE2GL/1A4F4ntPu+LDcb5Mtjw0MZH/pl+Z48XktLRp/:gA0Xfq5xGjNYPu2clewrdBsZ1Xsp/ |
TLSH | T1ECC1D6E91985E926F85AF170A06D15148922D7FE839CE6113A0C3ECFEF0B3852D70B6C |
Key | Value |
---|---|
FileName | ./usr/lib/python3.7/site-packages/pyocr/libtesseract/tesseract_raw.py |
FileSize | 20149 |
MD5 | 7D2DA1EBA232F0F9B60916227344C5DE |
SHA-1 | 1D836C2AC6C33DF009CC1C777C42F17EB95C213D |
SHA-256 | 3EAFEB18AE7EB9992C671956F1CC43273B2DD3875CACD4803B40C5155C8B8BFF |
SSDEEP | 384:N8mhTB8HjehX2kjeajOEDvjC6jzBuhqLW/ETLcYRh9m7tj/iqlHYbtg3xPtat0tv:N3hTB8HjehX2kjeajOEDvjC6jzBuhqLW |
TLSH | T185928B909AFEC64863273506DC2784C828255E13A41D4C5C77FC8DBAEF0A97D0769BB5 |
Key | Value |
---|---|
FileName | ./usr/lib/python3.7/site-packages/pyocr/util.py |
FileSize | 832 |
MD5 | 27539FFB495D1CD5C2FB075F0D96AB24 |
SHA-1 | 1FFE7C32ED1AC2DB87C7F3BA048E62C886D5ED42 |
SHA-256 | 69559FA2E696BA1331CCC27C3373638D2D09CE85D900DCDE1BF70C992B350E7A |
SSDEEP | 24:OxtHEPTjxIyRFetvSFLmvwjyB1C2mkyYDoXP:ghAWyWpyKwjyB1l5yYMXP |
TLSH | T1500189CBD859BC649AC793298996E4D4970EBCE357143078FADC58A8BF002B4C0F1298 |
Key | Value |
---|---|
FileName | ./usr/lib/python3.7/site-packages/pyocr/cuneiform.py |
FileSize | 3941 |
MD5 | CA1F0D3CF5E4B2A09D70643282142F3C |
SHA-1 | 2911448A607F4E6EFBBB28A29A2A5B1030ACE499 |
SHA-256 | 70670BD26CDB9889647E09D121ACD9734123AF9851D842514570D560813FA3B1 |
SSDEEP | 96:VM/pdpEs0/lJnE+3hVPemOpYpXe9PyEE3m/Z0ZTl2u:yPEnznE+q6APyEE3mqZ52u |
TLSH | T15A8165E6C83E55915363906B78C68C0467AE7B534E047E74BF6D87582FEB02440B6A2F |
Key | Value |
---|---|
FileName | ./usr/lib/python3.7/site-packages/pyocr/builders.py |
FileSize | 23599 |
MD5 | E92F0A09CD16B3CF3A61C7778B2AD137 |
SHA-1 | 3F665FB8A03490A499EAB030BD0D37E6F861CE47 |
SHA-256 | C166A4F6A34593DB6E379926627C023214FD8FD8ADB4B7FE86EF09F4C0AFCC40 |
SSDEEP | 384:fSHHiqUf8nzD6j66mcAN6YYTg3P+G/+wV:fSihEHlN6YYTK+GZV |
TLSH | T184B24156D957A8E1D347F96E68EBF48263391A534C1C5038BCFC12481FA243592F2EEC |
Key | Value |
---|---|
FileName | snap-hashlookup-import/usr/lib/python3/dist-packages/pytest_lazyfixture-stubs/METADATA.toml |
FileSize | 16 |
MD5 | AD2D5CF404CBEBA1866AD7A3992A6968 |
SHA-1 | 444413C300B824DC69908F0851A065B8A9C4D83D |
SHA-256 | 1CBC6A3A3F36C6372E1F039763E2EC0BE5E70E894B3EF180C5B13F584DEBAD71 |
SHA-512 | BF9243C34788F3E57AD284A86229C6DF12CA3DBE5B59FCB05D61EFF5E4020F1CCED19992E5892015E05CCB8FE7BFD24BA5CC8965B7EE668EDE38D71372E4453B |
SSDEEP | 3:W8cv:W8e |
TLSH | |
insert-timestamp | 1728203414.4541113 |
mimetype | text/plain |
source | snap:shY22YTZ3RhJJDOj0MfmShTNZTEb1Jiq_36889 |
Key | Value |
---|---|
FileName | ./usr/lib/python3.7/site-packages/pyocr/__pycache__/__init__.cpython-37.pyc |
FileSize | 254 |
MD5 | A954E98C325FADEEFFF76C586821CFD0 |
SHA-1 | 561F3E9B1F1E33D62B9EB37EA12E4E3443E3BF32 |
SHA-256 | C0D4DC174F6A66C4C9B72C7E00B28D2DF777E33A1EC7271CD7755D7E8FF7CE85 |
SSDEEP | 3:/we+tCLleClj6BBjEPtMEllA/Ko+ovIuJfOm/l/gsS28fYOVcKrr2wqDkFlrzJGL:/wh8IC7pla333S28fY67r06G9YPiDESr |
TLSH | T1E8D09781602ED11FE449D2B248228E7088F00E91472A80136A2824B23C0F640682E560 |
Key | Value |
---|---|
FileName | ./usr/lib/python3.7/site-packages/pyocr/libtesseract/__init__.py |
FileSize | 8066 |
MD5 | B3F8F8BDA0B31C429828DAD88BBF5DB0 |
SHA-1 | 5CF0A10F029270E3107E13C73201272E8F7435F0 |
SHA-256 | 888EFF14DC550A6177695DB2E8298DA92E977B9DA38B4E6100115F4469BFB2CA |
SSDEEP | 96:2Tw4pp4pDMJXauc1Rt3hVE8HbjOpLY3oIVG/HQVM5fWrjyof5MtI5Tekdg0:8AD6XRuRtQikIMIm5uvNx5Te2g0 |
TLSH | T13BF17F6997D78593C643A515AC75C880DB229F63488CF921B9CC0EB5EF4E1B413F86F8 |