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• Having trouble with color code in batch file

  23 juin 2022, par Lary David

  I'm trying to only have ffmpeg progress to be colored, but for some reason when I terminate or go full-screen this monstrosity occurs :
Issue

  


  @echo off
@echo off
title Stream Recorder
cls
:start
set message=Stream Recorder
echo %message%
echo(
echo [32m1. Chrome [0m
echo [34m2. Edge [0m
echo [33m3. Firefox [0m
echo [31m4. Opera [0m
echo [1;31m5. Vivaldi [0m
:choice
set choice=
set /p "choice=* Pick your browser (between 1-5): "
if not '%choice%'=='' set choice=%choice:~0,1%
if '%choice%'=='1' goto chrome
echo "%choice%" is not valid, try again.
ECHO.
goto choice

:chrome
:url
echo(
set /p "address=* M3U8 Url: "
For /F %%G In ('%__AppDir__%curl.exe -s -o NUL "%address%" -w "%%{http_code}\n"') Do Set "response=%%G"
echo %response%
IF %response% == 200 (
    ECHO [32mURL check was successful.[m &goto :username
) ELSE (
    ECHO [31mURL is not valid, try again.[m &goto :url
)
:username
set /p "filename=* Streamer Name: "
echo(
set message=* Recording:
echo [0m%message%[42;1m
ffmpeg -v warning -hide_banner -stats -user_agent "" -i "%address%" -c copy "%~dp0/%filename%_%DATE:~7,2%-%DATE:~4,2%-%DATE:~-4%_%time:~-11,2%-%time:~-8,2%-%time:~-5,2%.mp4"
pause


  


  Also, would be helpful if my code needs some cleaning up.

  


• vp9 : drop support for real (non-emulated) edges

  20 décembre 2013, par Anton Khirnov

  vp9 : drop support for real (non-emulated) edges
  They are not measurably faster on x86, they might be somewhat faster on
  
  other platforms due to missing emu edge SIMD, but the gain is not large
  
  enough to justify the added complexity.
  

  • [DH] libavcodec/vp9block.c
  • [DH] tests/fate/vpx.mak

• Convert mp4 video to avi video using imageio package

  3 février 2018, par Li.Chenyang

  I use the python imageio package to convert a .mp4 video to a .avi video, keeping the fps and size same. The following is my code :

  import imageio
  
  
  
  src_dir = "my/source/video.mp4"
  
  dst_dir = "my/dst/video.avi"
  
  
  
  reader = imageio.get_reader(src_dir)
  
  fps = reader.get_meta_data()['fps']
  
  writer = imageio.get_writer(dst_dir, fps=fps)
  
  
  
  for im in reader:
  
      writer.append_data(im[:, :, :])
  
  writer.close()

  I successfully make it.
  However, I find that the video.mp4 is 27.1 MB, while the video.avi is only 3.70 MB.
  Then I use cv2 to do the same thing :

  import cv2
  
  
  
  src_dir = "my/source/video.mp4"
  
  dst_dir = "my/dst/video_1.avi"
  
  
  
  video_cap = cv2.VideoCapture(src_dir)
  
  fps = video_cap.get(cv2.cv.CV_CAP_PROP_FPS)
  
  size = (int(video_cap.get(cv2.cv.CV_CAP_PROP_FRAME_WIDTH)),   
  
          int(video_cap.get(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT)))  
  
  video_writer = cv2.VideoWriter(dst_dir, cv2.cv.CV_FOURCC('M', 'J', 'P', 'G'), fps, size) 
  
  
  
  success, frame = video_cap.read()
  
  while success:
  
      video_writer.write(frame)
  
      success, frame = video_cap.read()

  This time I get a video_1.avi, which is 65.6 MB.
  My questions :

  1. What is the different between these two method, why the video.avi (using imageio method) is so small ;
  2. Is there any problem to use the video.avi (using imageio method) to train a 3D-CNN instead of using video_1.avi (using cv2 method) ?

  ---

  supplement
  Here is the information of my video file :

  lichenyang@lichenyang-All-Series:~/chalearn2014/script$ file video.mp4
  
  video.mp4: ISO Media, MPEG v4 system, version 2
  
  lichenyang@lichenyang-All-Series:~/chalearn2014/script$ file video.avi
  
  video.avi: RIFF (little-endian) data, AVI, 640 x 480, 20.00 fps, video: H.264 X.264 or H.264
  
  lichenyang@lichenyang-All-Series:~/chalearn2014/script$ file video_1.avi
  
  video_1.avi: RIFF (little-endian) data, AVI, 640 x 480, 20.00 fps, video: Motion JPEG