Key | Value |
---|---|
FileName | ./usr/lib/python3.10/site-packages/pyocr/__pycache__/builders.cpython-310.pyc |
FileSize | 21675 |
MD5 | A64B743A1132B5024876324937550AC7 |
SHA-1 | 59C1339AAB3613570880CB131FB73384CE8FD720 |
SHA-256 | F8F8E3A2E03304473084943FD75B06CE60F3670D264034A7B52444F9DCDD4133 |
SSDEEP | 384:ZWSHHXUAv/518rgoAHD4lwaSX74NMXNYcpKWrIYD2vNb3RQVbCEzrHeyVvDUfE6u:ZWSXUWvYgok4lwrX74qXNzpPrIYD2vNE |
TLSH | T17FA2A19399492C9BFC01F2B9BBBE57066630D7A7535B89127D0DD21F1F923E074B1888 |
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 |