Key | Value |
---|---|
FileName | ./usr/lib/python3.10/site-packages/pyocr/__pycache__/util.cpython-310.pyc |
FileSize | 413 |
MD5 | E824F60F6F6A9429358D3DFCC1490FB0 |
SHA-1 | 14B8117BD7C5B5385D949074C5120062D0D0DFB0 |
SHA-256 | 7BCEE00659A36A16540F1ACFE7AC180ECF344E52205A7A747ED59CF9EE5FBE40 |
SSDEEP | 6:y/0sex4+hWMuZx/YleA/cttJSlzQRCR7/RhYExwm7u2aCLjJG9YJgMrFM6p3yGJr:C0seyeLuDgkicwESsywmpGMgwi16n |
TLSH | T17FE06890494C06EEFFA6F2F4A3908A75546051BAB30A6680AE0C525FAE111EA0AB0E51 |
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 |