VP8 raw file: Python parsing library

IVF is a simple container format for raw VP8 data, which is an open and royalty-free video compression format, currently developed by Google.

Test .ivf files are available at https://chromium.googlesource.com/webm/vp8-test-vectors

File extension

ivf

KS implementation details

License: CC0-1.0
Minimal Kaitai Struct required: 0.7

References

This page hosts a formal specification of VP8 raw file using Kaitai Struct. This specification can be automatically translated into a variety of programming languages to get a parsing library.

Usage

Runtime library

All parsing code for Python generated by Kaitai Struct depends on the Python runtime library. You have to install it before you can parse data.

The Python runtime library can be installed from PyPI:

python3 -m pip install kaitaistruct

Code

Parse a local file and get structure in memory:

data = Vp8Ivf.from_file("path/to/local/file.ivf")

Or parse structure from a bytes:

from kaitaistruct import KaitaiStream, BytesIO

raw = b"\x00\x01\x02..."
data = Vp8Ivf(KaitaiStream(BytesIO(raw)))

After that, one can get various attributes from the structure by invoking getter methods like:

data.magic1 # => Magic Number of IVF Files

Python source code to parse VP8 raw file

vp8_ivf.py

Download 

# This is a generated file! Please edit source .ksy file and use kaitai-struct-compiler to rebuild

import kaitaistruct
from kaitaistruct import KaitaiStruct, KaitaiStream, BytesIO


if getattr(kaitaistruct, 'API_VERSION', (0, 9)) < (0, 9):
    raise Exception("Incompatible Kaitai Struct Python API: 0.9 or later is required, but you have %s" % (kaitaistruct.__version__))

class Vp8Ivf(KaitaiStruct):
    """IVF is a simple container format for raw VP8 data, which is an open and
    royalty-free video compression format, currently developed by Google.
    
    Test .ivf files are available at
    <https://chromium.googlesource.com/webm/vp8-test-vectors>
    
    .. seealso::
       Source - https://wiki.multimedia.cx/index.php/IVF
    """
    def __init__(self, _io, _parent=None, _root=None):
        self._io = _io
        self._parent = _parent
        self._root = _root if _root else self
        self._read()

    def _read(self):
        self.magic1 = self._io.read_bytes(4)
        if not self.magic1 == b"\x44\x4B\x49\x46":
            raise kaitaistruct.ValidationNotEqualError(b"\x44\x4B\x49\x46", self.magic1, self._io, u"/seq/0")
        self.version = self._io.read_u2le()
        self.len_header = self._io.read_u2le()
        self.codec = self._io.read_bytes(4)
        if not self.codec == b"\x56\x50\x38\x30":
            raise kaitaistruct.ValidationNotEqualError(b"\x56\x50\x38\x30", self.codec, self._io, u"/seq/3")
        self.width = self._io.read_u2le()
        self.height = self._io.read_u2le()
        self.framerate = self._io.read_u4le()
        self.timescale = self._io.read_u4le()
        self.num_frames = self._io.read_u4le()
        self.unused = self._io.read_u4le()
        self.image_data = []
        for i in range(self.num_frames):
            self.image_data.append(Vp8Ivf.Blocks(self._io, self, self._root))


    class Blocks(KaitaiStruct):
        def __init__(self, _io, _parent=None, _root=None):
            self._io = _io
            self._parent = _parent
            self._root = _root if _root else self
            self._read()

        def _read(self):
            self.entries = Vp8Ivf.Block(self._io, self, self._root)


    class Block(KaitaiStruct):
        def __init__(self, _io, _parent=None, _root=None):
            self._io = _io
            self._parent = _parent
            self._root = _root if _root else self
            self._read()

        def _read(self):
            self.len_frame = self._io.read_u4le()
            self.timestamp = self._io.read_u8le()
            self.framedata = self._io.read_bytes(self.len_frame)