Key | Value |
---|---|
FileName | ./usr/lib/python3.10/site-packages/pyocr/libtesseract/__pycache__/__init__.cpython-310.opt-1.pyc |
FileSize | 8031 |
MD5 | 7987467D689DECC8FD84D19DFA04F6E4 |
SHA-1 | 4D684255BFB6953A3B84755DB5DA486581441B00 |
SHA-256 | 66502913510341F9A13317A268D4F2FE58A982515A413E605F125BDF624F1EA8 |
SSDEEP | 96:fTw4pp4pXFSfN6oldnEIU/z/16F1KUZs2kktf5Mt2aQxr/DoYmb/2L+fN+r8uF7y:1AXMlddU/Lk/ikLjaQZoB+H3RkUr6 |
TLSH | T144F1E6DA0A825887F9A5F274706E0254AB22D75AF79CE211354C398FEF2A2C01FB1759 |
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 |