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• Android Video color effect issue using FFMPEG [on hold]

  8 juin 2016, par umesh mishra

  I m facing one problem. when we use library for effect that i have mentioned below video is created only 1/3 of actual video size. please tell me what is issue. and also doesn’t work on marshmallow.
  https://github.com/krazykira/VidEffects/wiki/Permanent-video-effects

• How to use the hardware acceleration for ffmepg on m1-max ?

  10 février 2023, par ThoughtfulHacking

  Since there aren't m1 builds available from ffmpeg.org, I had to compile my own. Obviously, I'd like to get the best possible performance.

  


  

  • Does ffmpeg use the "Hardware-accelerated H.264" on the m1 max ?

  


  • Is there anything I need to do, like compiler flags, to get it ?

  


  • Any switch at run time ?

  


  • How can I verify that it's being used ?

  


  


  To compile ffmpeg, I just did the basics :

  


  ./configure --prefix=/tmp/ff       --enable-gpl --enable-nonfree   --enable-libx264
make
make install


  


  For x264, I just did
./configure —prefix=/tmp/ff
make
make install

  


  to run :

  


  ffmpeg -i random.wmv -c:v libx264 -preset ultrafast  -c:a aac  output-ultra.mp4 


  


  Anything else I should be doing ?

  


• Google Colab Runtime Error please install ffmpeg (version 4.2 is currently supported) andbuild torchvision from source

  4 juillet 2021, par Iman

  I'm using Google Colab to write a program using torch vision to extract frames from an mp4 video in my google drive. Thus far, I haven't wrote the full code yet but have been experimenting with torch vision.io library. Upon running the code, I get the following errors.

  


  Mounted at /content/gdrive&#xA;---------------------------------------------------------------------------&#xA;RuntimeError                              Traceback (most recent call last)&#xA; in <module>()&#xA;      6 &#xA;      7 video_path = "/content/drive/MyDrive/Training-Data-Videos/MASKED/00_MASKED_0_0.mp4"&#xA;----> 8 reader = torchvision.io.VideoReader(video_path, "video")&#xA;      9 reader.seek(2.0)&#xA;     10 frame = next(reader)&#xA;&#xA;/usr/local/lib/python3.7/dist-packages/torchvision/io/__init__.py in __init__(self, path, stream)&#xA;    106                 &#x2B; "to enable video_reader support, please install "&#xA;    107                 &#x2B; "ffmpeg (version 4.2 is currently supported) and"&#xA;--> 108                 &#x2B; "build torchvision from source."&#xA;    109             )&#xA;    110         self._c = torch.classes.torchvision.Video(path, stream)&#xA;&#xA;RuntimeError: Not compiled with video_reader support, to enable video_reader support, please install ffmpeg (version 4.2 is currently supported) andbuild torchvision from source.&#xA;&#xA;</module>

  


  The code that I have written in the notebook so far is the following :

  


  import os 
import torchvision 
from google.colab import drive
drive.mount('/content/gdrive', force_remount=True)

video_path = "/content/drive/MyDrive/Training-Data-Videos/MASKED/00_MASKED_0_0.mp4"
reader = torchvision.io.VideoReader(video_path, "video")
reader.seek(2.0)
frame = next(reader)
print (frame)



  


  To solve the problem, I tried to install ffmpeg on colab as this post says but it did not work. Can someone tell me what is the error ?