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• FFMPEG H264 with custom overlay per frame

  4 octobre 2020, par La bla bla

  We have a stream that is stored in the cloud (Amazon S3) as individual H264 frames. The frames are stored as framexxxxxx.264, the numbering doesn't start from 0 but rather from some larger number, say 1000 (so, frame001000.264)

  


  The goal is to create a mp4 clip which is either timelapse or just faster for inspection and other checking (much faster, compressing around 3 hours of video down to < 20 minutes), this also requires we overlay the frame number (the filename) on the frame itself

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  At first I was creating a timelapse by pulling from S3 only the keyframes (i-frames ? still rather new to codecs & stuff) and overlaying the filename on them and saving as png (which probably isn't needed, but that's what I did) using (this command is used inside a python script)

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  ffmpeg -y -i {h264_name} -vf \"scale=1920:-1, 
drawtext=fontfile=/usr/share/fonts/truetype/ubuntu-font-family/Ubuntu-B.ttf:fontsize=34:text={txt}:fontcolor=white:x=50:y=50:bordercolor=black:borderw=2\" 
-c:a copy -pix_fmt yuv420p {basename}.png


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  after this I combined all the frames by using python to convert the lowest numbered frame to 0.png and incrementing (so it would be continuous, because I only used keyframes the numbers originally weren't sequential) and running

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  ffmpeg -y -f image2 -i %d.png -r {self.params.fps} -vcodec libx264 -crf {self.params.crf} -pix_fmt yuv420p {out_file}


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  and this worked great, but the difference between keyframes was too long to allow for proper inspection

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  so now for the question(s)

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  since I know frames that are not keyframes (p-frames ?) can't be used alone by ffmpeg, the method of overlaying the file name and converting it to png (or keep as h264, same thing) won't work, or at least, I couldn't find a way for it to work, maybe there's a way to specify a frame's keyframe ?, how can one overlay the filename (and not the frame number as shown here for example)

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  Also, is it possible to skip some p-frames between the keyframes ? (so if a keyframe is every 30 frames, we would take a keyframe, a frame 15 frames later, and next another keyframe)

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  I thought about using ffmpeg's pipe option to feed it with the files as they're being downloaded, but I'm not sure if I can specify drawtext this way

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  Also, if there's another alternative that can achieve that (at first I was converting to png, using python and OpenCV to add the filename and then merging the pngs to mp4, but then I found drawtext can do that in a single command so I used it)

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• Anomalie #3991 : Erreur compression CSS et base64

  29 août 2017, par tcharlss (*´_ゝ｀)

  La ligne fautive se trouve ici : https://zone.spip.org/trac/spip-zone/browser/_core_/plugins/compresseur/inc/compresseur_minifier.php#L100

  // zero est zero, quelle que soit l’unite (sauf pour % car casse les @keyframes cf https://core.spip.net/issues/3128)
  $contenu = preg_replace("/([^0-9.]0)(em|px|pt)/ms", "$1", $contenu) ;
  

  Ça cherche le nombre zéro précédé de n’importe quel caractère (autre qu’un chiffre) ou d’un point.
  Du coup ça peut matcher avec les data URIs :
  

  @font-facefont-family :’spip’ ;src:url("data:application/font-woff ;base64,abc0pxyz") ;
  

  Pour éviter ce souci, on pourrait préciser exactement quels caractères peuvent précéder le zéro pour considérer qu’il s’agit d’une unité. On peut avoir :

  1) deux points
  

  font-size:0px ;
  

  2) un ou plusieurs espaces
  

  font-size : 0px ;
  font-size : calc(10px + 0px) ;
  

  3) une parenthèse dans le cas de calc()
  

  font-size : calc(0px) ;
  

  4) Autres unités

  À noter qu’il y a aussi pas mal d’autres unités qui ne sont pas prises en compte dans la regex actuelle : https://www.w3schools.com/cssref/css_units.asp
  

  rem ex pc
  vh vw vmin vmax 
  cm mm in
  ch 
  

  ---

  Ce qui donne au final la regex suivante, qui laisse mes data URIs tranquilles :
  

  $contenu = preg_replace("/((?: :|\s+|\()0)(em|px|pt|rem|ex|pc|vh|vw|vmin|vmax|cm|mm|in|ch)/ms", "$1", $contenu) ;
  

• Adventures in Unicode

  29 novembre 2012, par Multimedia Mike — Programming, php, Python, sqlite3, unicode

  Tangential to multimedia hacking is proper metadata handling. Recently, I have gathered an interest in processing a large corpus of multimedia files which are likely to contain metadata strings which do not fall into the lower ASCII set. This is significant because the lower ASCII set intersects perfectly with my own programming comfort zone. Indeed, all of my programming life, I have insisted on covering my ears and loudly asserting “LA LA LA LA LA ! ALL TEXT EVERYWHERE IS ASCII !” I suspect I’m not alone in this.

  Thus, I took this as an opportunity to conquer my longstanding fear of Unicode. I developed a self-learning course comprised of a series of exercises which add up to this diagram :

  
  
  

  Part 1 : Understanding Text Encoding
  Python has regular strings by default and then it has Unicode strings. The latter are prefixed by the letter ‘u’. This is what ‘ö’ looks like encoded in each type.

  python

  < view plain text >

  1. >>> ’ö’, u’ö’
  2. (’\xc3\xb6’, u’\xf6’)

  A large part of my frustration with Unicode comes from Python yelling at me about UnicodeDecodeErrors and an inability to handle the number 0xc3 for some reason. This usually comes when I’m trying to wrap my head around an unrelated problem and don’t care to get sidetracked by text encoding issues. However, when I studied the above output, I finally understood where the 0xc3 comes from. I just didn’t understand what the encoding represents exactly.
  

  I can see from assorted tables that ‘ö’ is character 0xF6 in various encodings (in Unicode and Latin-1), so u’\xf6′ makes sense. But what does ‘\xc3\xb6′ mean ? It’s my style to excavate straight down to the lowest levels, and I wanted to understand exactly how characters are represented in memory. The UTF-8 encoding tables inform us that any Unicode code point above 0x7F but less than 0×800 will be encoded with 2 bytes :

   110xxxxx 10xxxxxx
  

  Applying this pattern to the \xc3\xb6 encoding :

              hex : 0xc3      0xb6
             bits : 11000011  10110110
   important bits : ---00011  —110110
        assembled : 00011110110
       code point : 0xf6
  

  I was elated when I drew that out and made the connection. Maybe I’m the last programmer to figure this stuff out. But I’m still happy that I actually understand those Python errors pertaining to the number 0xc3 and that I won’t have to apply canned solutions without understanding the core problem.

  I’m cheating on this part of this exercise just a little bit since the diagram implied that the Unicode text needs to come from a binary file. I’ll return to that in a bit. For now, I’ll just contrive the following Unicode string from the Python REPL :

  python

  < view plain text >

  1. >>> u = u’Üñìçôđé’
  2. >>> u
  3. u’\xdc\xf1\xec\xe7\xf4\u0111\xe9’

  Part 2 : From Python To SQLite3
  The next step is to see what happens when I use Python’s SQLite3 module to dump the string into a new database. Will the Unicode encoding be preserved on disk ? What will UTF-8 look like on disk anyway ?

  python

  < view plain text >

  1. >>> import sqlite3
  2. >>> conn = sqlite3.connect(’unicode.db’)
  3. >>> conn.execute("CREATE TABLE t (t text)")
  4. >>> conn.execute("INSERT INTO t VALUES (?)", (u, ))
  5. >>> conn.commit()
  6. >>> conn.close()

  Next, I manually view the resulting database file (unicode.db) using a hex editor and look for strings. Here we go :

  000007F0   02 29 C3 9C  C3 B1 C3 AC  C3 A7 C3 B4  C4 91 C3 A9
  

  Look at that ! It’s just like the \xc3\xf6 encoding we see in the regular Python strings.

  Part 3 : From SQLite3 To A Web Page Via PHP
  Finally, use PHP (love it or hate it, but it’s what’s most convenient on my hosting provider) to query the string from the database and display it on a web page, completing the outlined processing pipeline.

  php

  < view plain text >

  1. < ?php
  2. $dbh = new PDO("sqlite:unicode.db") ;
  3. foreach ($dbh->query("SELECT t from t") as $row) ;
  4. $unicode_string = $row[’t’] ;
  5.  ?>
  6.  
  7. <html>
  8. <head><meta http-equiv="Content-Type" content="text/html ; charset=utf-8"></meta></head>
  9. <body><h1>< ?=$unicode_string ?></h1></body>
  10. </html>

  I tested the foregoing PHP script on 3 separate browsers that I had handy (Firefox, Internet Explorer, and Chrome) :

  
  
  

  I’d say that counts as success ! It’s important to note that the “meta http-equiv” tag is absolutely necessary. Omit and see something like this :

  
  
  

  Since we know what the UTF-8 stream looks like, it’s pretty obvious how the mapping is operating here : 0xc3 and 0xc4 correspond to ‘Ã’ and ‘Ä’, respectively. This corresponds to an encoding named ISO/IEC 8859-1, a.k.a. Latin-1. Speaking of which…

  Part 4 : Converting Binary Data To Unicode
  At the start of the experiment, I was trying to extract metadata strings from these binary multimedia files and I noticed characters like our friend ‘ö’ from above. In the bytestream, this was represented simply with 0xf6. I mistakenly believed that this was the on-disk representation of UTF-8. Wrong. Turns out it’s Latin-1.

  However, I still need to solve the problem of transforming such strings into Unicode to be shoved through the pipeline diagrammed above. For this experiment, I created a 9-byte file with the Latin-1 string ‘Üñìçôdé’ couched by 0′s, to simulate yanking a string out of a binary file. Here’s unicode.file :

  00000000   00 DC F1 EC  E7 F4 64 E9  00         ......d..
  

  (Aside : this experiment uses plain ‘d’ since the ‘đ’ with a bar through it doesn’t occur in Latin-1 ; shows up all over the place in Vietnamese, at least.)

  I’ve been mashing around Python code via the REPL, trying to get this string into a Unicode-friendly format. This is a successful method but it’s probably not the best :

  python

  < view plain text >

  1. >>> import struct
  2. >>> f = open(’unicode.file’, ’r’).read()
  3. >>> u = u’’
  4. >>> for c in struct.unpack("B"*7, f[1 :8]) :
  5. ... u += unichr(c)
  6. ...
  7. >>> u
  8. u’\xdc\xf1\xec\xe7\xf4d\xe9’
  9. >>> print u
  10. Üñìçôdé

  Conclusion
  Dealing with text encoding matters reminds me of dealing with integer endian-ness concerns. When you’re just dealing with one system, you probably don’t need to think too much about it because the system is usually handling everything consistently underneath the covers.

  However, when the data leaves one system and will be interpreted by another system, that’s when a programmer needs to be cognizant of matters such as integer endianness or text encoding.