Key | Value |
---|---|
FileName | ./usr/lib/python3.10/site-packages/pyocr-0.8.2.dist-info/METADATA |
FileSize | 1165 |
MD5 | 79942F4C7FCD252F5510FEE54E2D1018 |
SHA-1 | 04E83B54E11200A65ADBF410CB6CB09EC03335E4 |
SHA-256 | F630C6D496641B91D1E361B95E40C86672E35074563AE6D36AE5A4F05BA7178D |
SSDEEP | 24:D9436pKcLgzu00RPAQILkHZft2ZftYZftRTZft90ZftOAvTH4UpoGxKch:DG8KSb5qQIL0aYxLicAvTHNoGxK6 |
TLSH | T11521E11538C0ADF41EA3C94B67588B5298118F215F4E149C79F6478EEEA167382BC23D |
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 |