Key | Value |
---|---|
FileName | ./usr/lib/python3.10/site-packages/pyocr/__pycache__/tesseract.cpython-310.pyc |
FileSize | 13130 |
MD5 | BD5B01F8975A481019DDA64C4660F682 |
SHA-1 | 2A8A247A68B34D168DFC47F04CFE800100B411D6 |
SHA-256 | 1A87925D7C9FAA6E9E97492247A1A6BEF6AB2E7ADD923E489C644974DE5F109B |
SSDEEP | 384:+ju0cFC4pKx83DFNfAeAdcYjz768jkSPRTZzQ2/:WuLC4pIg74LdcjfSPRTZc2/ |
TLSH | T1954219D65947A6A3F961F174A06DC72C8B76DB6B432AC102B90D91CE1F4E3D02BF9098 |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
MD5 | 3C1CCCFDCA4329CE3F50C2B2C4B9403E |
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 | neoclust <neoclust> |
PackageName | python3-pyocr |
PackageRelease | 1.mga9 |
PackageVersion | 0.8.2 |
SHA-1 | 0828E696923E61BB2F8D0DB57BFD990DBD7425E8 |
SHA-256 | 64AF507BE4BFDC74612D53786108309A0A0F9FE9A77F82429C9E48983AF22D0D |