PyAV | Pythonic bindings for FFmpeg 's libraries | Video Utils library
kandi X-RAY | PyAV Summary
kandi X-RAY | PyAV Summary
[GitHub Test Status][github-tests-badge]][github-tests] \ [Gitter Chat][gitter-badge]][gitter] [Documentation][docs-badge]][docs] \ [GitHub][github-badge]][github] [Python Package Index][pypi-badge]][pypi] [Conda Forge][conda-badge]][conda]. PyAV is a Pythonic binding for the [FFmpeg][ffmpeg] libraries. We aim to provide all of the power and control of the underlying library, but manage the gritty details as much as possible. PyAV is for direct and precise access to your media via containers, streams, packets, codecs, and frames. It exposes a few transformations of that data, and helps you get your data to/from other packages (e.g. Numpy and Pillow). This power does come with some responsibility as working with media is horrendously complicated and PyAV can’t abstract it away or make all the best decisions for you. If the ffmpeg command does the job without you bending over backwards, PyAV is likely going to be more of a hindrance than a help. But where you can’t work without it, PyAV is a critical tool.
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Top functions reviewed by kandi - BETA
- Set the file
- Get the number of frames in the stream
- Return the FPS rate for a given stream
- Get a frame from the stream
- Yield frames from the stream
- Main entrypoint
- Load an entrypoint
- Try to get configuration from pkg - config
- Parse cflags
- Visit CVarDef node
- Record an event
- Return the number of frames in a stream
- Download a fate
- Iterate over frames in a video
- Download the curated dataset
- Overrides drop event
- Print data for a frame
- Print the frame to stdout
- Setup the extension
- Overrides key press event
- Requests a time for a given frame
- Returns the name of the platform
- Request a frame ready to be displayed
- Get an audio frame
- Get configuration from the given directory
- Extracts XML files
PyAV Key Features
PyAV Examples and Code Snippets
from GPUVideoReader import GPUVideoReader
import cv2
cv2.namedWindow('FRAME', cv2.WINDOW_NORMAL)
reader = GPUVideoReader("h264videofileorrtspstream")
ret = True
while ret:
ret, frame = reader.read()
if not ret:
break
print("fra
# Allow connections to x server
xhost +
# Open a bash in container
docker run -it --rm -v $(pwd):/app/home -e DISPLAY=$DISPLAY -e QT_X11_NO_MITSHM=1 \
-v /tmp/.X11-unix:/tmp/.X11-unix pyav-build /bin/bash
# In container at this point
python exa
conda create -n "slowfast" python=3.7
pip install 'git+https://github.com/facebookresearch/fvcore'
pip install simplejson av psutil opencv-python tensorboard moviepy cython
python -m pip install 'git+https://github.com/facebookresearch/detectron2.g
"""10. Introducing Decord: an efficient video reader
====================================================
Training deep neural networks on videos is very time consuming. For example, training a state-of-the-art SlowFast network
on Kinetics400 datase
import re
pattern = r"\[([^\[\]()]+?)\]|\(([^\[\]()]+?)\)|\{([^\[\]()]+?)\}"
temp = [(m.start(0), m.end(0)) for m in re.finditer(pattern, ' {kromosom} består av en DNA-molekyl och {protein}. En DNA-molek')]
print(temp) #[(1, 11), (41, 50)]
while (ret >= 0) {
ret = avcodec_receive_frame(dec_ctx, frame);
if (ret == AVERROR(EAGAIN) || ret == AVERROR_EOF)
return;
while (ret >= 0) {
ret = avcodec_receive_f
# Modify the period column to an actual datetime
df['period'] = pd.to_datetime(df.period.str.replace('M','',regex=False) + '01',
yearfirst=True)
# Convert the price to a float
df['price'] = df.price.str.repla
df = pd.read_excel('BensinPris.xlsx')
df_avg = (
df.groupby(df['ÅrMåned'].str[:4].astype(int))['Priser (kr per liter)'].mean()
.round(2).rename_axis('Year').rename('Average bensin price').reset_index()
)
print(df_avg)
# Output
# Uses pseudo-namespacing to avoid collisions.
_EXT_SUFFIX = "___"
_NEXT_EXT_INDEX = 0
def is_ext_var(element) -> bool:
return element.endswith(_EXT_SUFFIX)
def ext_var() -> str:
global _NEXT_EXT_INDEX
ext_index = _NE
pip install av
import av
# Feed in your raw bytes from socket
def decode(raw_bytes: bytes):
code_ctx = av.CodecContext.create("h264", "r")
packets = code_ctx.parse(raw_bytes)
for i, packet in enumerate
Community Discussions
Trending Discussions on PyAV
QUESTION
When producing H.264 frames and decoding them using pyAV, packets are parsed from frames only when invoking the parse
methods twice.
Consider the following test H.264 input, created using:
ffmpeg -f lavfi -i testsrc=duration=10:size=1280x720:rate=30 -f image2 -vcodec libx264 -bsf h264_mp4toannexb -force_key_frames source -x264-params keyint=1:scenecut=0 "frame-%4d.h264"
Now, using pyAV to parse the first frame:
...ANSWER
Answered 2022-Apr-03 at 18:05This is an expected PyAV behavior. Not only, it is an expected behavior of the underlying libav
. One packet does not guarantee a frame, and multiple packets may be needed before producing a frame. This is apparent in FFmpeg's video decoder example:
QUESTION
I'm using mkvmerge
to combine a mp4 CFR video with a text file containing VFR timestamps. The command used was
ANSWER
Answered 2021-Dec-22 at 04:41If the video stream has B-frames then future P-frames which act as reference for B-frames are encoded first and stored in that order. They are reordered after decoding.
For ffprobe, the entries in packet
are arranged in decode or storage order. In frames
, they are decoded and arranged in presentation order.
QUESTION
I am using pyav
(python wrapper for libav
) to ingest an H264 video stream. Is there an option to disable B-frames?
I think the same question would apply to libav
and ffmpeg
.
ANSWER
Answered 2021-May-20 at 04:04The skip_frame
option of the codeccontext should be set with value bidir
or constant AVDISCARD_BIDIR
(if assigning directly) to skip bidirectional frames.
QUESTION
When PyAv is used to open the alsa audio device. How I can specify used codec and not the ffmpeg default one because that is wrong. By default it will use pcm_s16le
and I need to use pcm_s32le
. I can record from my device with following ffmpeg command:
ANSWER
Answered 2020-Sep-07 at 07:20I'll answer my own question because I figured it out. I read ffmpeg source code and saw that when using alsa audio device and codec is not specified ffmpeg will default to use signed 16-bit pcm samples. Code here. By further exploring the source code the codec value comes from AVFormatContext::audio_codec_id struct field.
Now figuring out that PyAV using Cython to use FFmpeg and by reading PyAV source code of Container class I noticed it holds AVFormatContext
in it's self.ptr
variable. Then reading InputContainer
source code and especially before calling avformat_open_input function to open the alsa device. Specifying the used audio codec is not supported by PyAV.
I forked the library and ended quickly hacking the solution for me. Now the question is would it be possible to add this feature to PyAV to force the codec used for the audio? In this case when the device is using pcm samples and relying ffmpeg to use choose the default one it will always use 16-bit samples and in my case I needed to use 32-bit samples.
Hopefully this helps someone and save them the trouble I went through :) I also posted this same answer for PyAV issue here.
QUESTION
I have been trying to set up my Python web app that uses opencv, tensorflow and av modules but keeps failing. I have tried using the Aptfile
to install several Ubuntu libraries (libsm6, libxrender1
, etc.) and the install still fails.
After failing the install, the heroku server resolves to building the av module from source which fails as well, with gcc failing here:
...ANSWER
Answered 2020-Aug-26 at 09:08Turns out Heroku works better using requirements.txt
than Pipfile
. After changing the install file, the deployment process went fine.
QUESTION
I am trying to import the ucf101 dataset using
...ANSWER
Answered 2020-May-09 at 12:00After you install av with
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install PyAV
Another way of installing PyAV is via [conda-forge][conda-forge]:. See the [Conda quick install][conda-install] docs to get started with (mini)Conda.
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