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• How to use NSProcessInfo's operatingSystemVersion property in place of gestaltSystemVersionMinor and gestaltSystemVersionBugFix

  28 octobre 2016, par Michael Whiteacre

  Newbie here, but longtime frequenter of this essential resource.

  Using :
  MacBook Pro (Retina, 13-inch, Early 2015).
  Processor : 3.1 GHz Intel Core i7
  Memory : 16 GB 1867 MHz DDR3
  Running Yosemite 10.10.5

  I’m attempting to compile my own Perian- and FFmpeg-based FFusion.component (for Quicktime), for 10.11 using Xcode 7.2.1, and in this relatively simple project, as in others, am trying to move away from Gestalt. The original FFusion-RJVB.xcodeproj I’m employing is Xcode-3.2 compatible.

  I have yet to find a clear, definitive solution to what must appear a painfully simple problem to you all. Here is the Gestalt version :
  `

  #if TARGET_OS_MAC
  
  static int GetSystemMinorVersion()
  
  {
  
      static SInt32 minorVersion = -1;
  
      if (minorVersion == -1)
  
          Gestalt(gestaltSystemVersionMinor, &minorVersion);
  
  
  
      return minorVersion;
  
  }
  
  
  
  static int GetSystemMicroVersion()
  
  {
  
      static SInt32 microVersion = -1;
  
      if (microVersion == -1)
  
          Gestalt(gestaltSystemVersionBugFix, &microVersion);
  
  
  
      return microVersion;
  
  }
  
  #endif

  `
  I’ve tried what seems like endless variations of NSProcessInfo i.e.

  ([[NSProcessInfo processInfo] respondsToSelector:@selector(operatingSystemVersion)])

  but I’m afraid I’m not formatting it correctly to achieve my ends. It just hasn’t ’clicked’ in my head yet, so Im hoping someone can give me a push when I see the difference between the gestalt version, my stumbling attempts, and the correct way.

  Many thanks.

• Illegal instruction : 4 in ffmpeg

  3 mars 2015, par rs41

  I tried brew installed ffmpeg, i am also tried to compile ffmpeg but in all cases i have the error

  Illegal instruction : 4

  I run something like this :

  ./ffmpeg -i /Users/ruslan/Torrents/Weird\ smiling\ dog.3gp -codec:v libx264 -b:v 360k -maxrate 360k -bufsize 720k -movflags +faststart -vprofile high -preset slow -vf 'scale=trunc(iw/2)*2:360' -threads 0 -codec:a libfdk_aac -b:a 96k -ac 2 -f mp4 -threads 0 -y /dev/null >> /Users/ruslan/erosite/log/ffmpeg_convertation.log 2>&1
  
  Illegal instruction: 4

  Or only ffmpeg with options when used homebrews installed version

  Additional info :

  OS X Yosemite 10.10.2

  MacBook Pro (15-inch, Mid 2009)

• Unable to recognize text with 100 % accuracy in a jpg file using Tess4J

  21 février 2013, par sonali mishra

  I want to split a .flv video file into .jpg/png frames of good resolution & then want to recognize the character sequence in it using Tess4J tool (JNA wrapper around Tesseract).

  Currently I tried the ffmpeg command line tool to split the .flv video file into jpg images.The ffmpeg command I used is :

  ffmpeg -i myinput.flv myoutput%d.jpg

  It is giving me the output image having the detail :

  Image Dimensions : 1280 * 696

  Horizontal resolution : 96 dpi

  Vertical resolution : 96 dpi

  bit depth : 24

  My Problem is :
  I tried to recognize the characters in the video frames(jpg image files which i splitted) using the following code snippet using Tess4J, it is recognizing the characters, but not identifying with 100 % accuracy. It is adding some junk characters as well which is not there in the image.

  Java code snippet I am using :

  import java.io.BufferedWriter
  
  
  
  import java.io.File;
  
  
  
  import java.io.FileWriter;
  
  
  
  import java.io.IOException; 
  
  
  
  import net.sourceforge.tess4j.Tesseract;
  
  
  
  import net.sourceforge.tess4j.TesseractException;
  
  
  
  public class TesseractDemo {
  
  
  
  public static void main(String[] args) {
  
  
  
      File imageFile = new File("D:\\myinput1.jpg");
  
  
  
      Tesseract instance = Tesseract.getInstance();
  
  
  
      // Tesseract1 instance = new Tesseract1();
  
  
  
      try {
  
  
  
          String result = instance.doOCR(imageFile);
  
  
  
          System.out.println(result);
  
  
  
          // write in a file
  
          try {
  
              File file = new File("D:\\myoutput1.txt");
  
              BufferedWriter out = new BufferedWriter(new FileWriter(file));
  
              out.write(result);
  
              out.close();
  
          } catch (IOException ex) {
  
          }
  
  
  
      } catch (TesseractException ep) {
  
          System.err.println(ep.getMessage());
  
      }
  
  
  
  }

  }

  Note : In Tess4J site they have told that the image you are using for doing OCR should be of more than 200 dpi(dot per inch). How to get the jpg image of more than 200 dpi using ffmpeg ??

  Any body having any java code snippet or any suggestion in this regard please help.