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• Convert all files at once to uncompressed .avi ffmpeg

  6 mai 2015, par Alsafi Safi

  FFmpeg

  Please help me to process each using one line of ffmpeg code to convert all files at once to uncompressed .avi files that are at a pixel dimension of 704x480. This codes is working nice, but I faced that. When I type (y). the output file is remove the past file (input _double_high) and create a new one with the same name. The code doesn’t convert all of them. I hope to convert all of them at the same time. Could you help editing this code :

  forfiles /p 264s /m *.264 /c "cmd /c ffmpeg -f h264 -i @file -vf scale=704*480 input_double_high.avi"

• issue after video rotation how fix

  2 avril 2015, par Vahagn

  I have next code for rotate video

  OpenCVFrameConverter.ToIplImage converter2 = new OpenCVFrameConverter.ToIplImage() ;

  for (int i = firstIndex; i <= lastIndex; i++) {
  
      long t = timestamps[i % timestamps.length] - startTime;
  
      if (t >= 0) {
  
          if (t > recorder.getTimestamp()) {
  
              recorder.setTimestamp(t);
  
          }
  
          Frame g = converter2.convert(rotate(converter2.convertToIplImage(images[i % images.length]),9 0));
  
      recorder.record(g);
  
      }
  
  }

  images[i] - Frame in JavaCV
  after in video have green lines

  

  UPDATE
  Convertation function

  /*
  
   * Copyright (C) 2015 Samuel Audet
  
   *
  
   * This file is part of JavaCV.
  
   *
  
   * JavaCV is free software: you can redistribute it and/or modify
  
   * it under the terms of the GNU General Public License as published by
  
   * the Free Software Foundation, either version 2 of the License, or
  
   * (at your option) any later version (subject to the "Classpath" exception
  
   * as provided in the LICENSE.txt file that accompanied this code).
  
   *
  
   * JavaCV is distributed in the hope that it will be useful,
  
   * but WITHOUT ANY WARRANTY; without even the implied warranty of
  
   * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
  
   * GNU General Public License for more details.
  
   *
  
   * You should have received a copy of the GNU General Public License
  
   * along with JavaCV.  If not, see /www.gnu.org/licenses/>.
  
   */
  
  
  
  package com.example.vvardanyan.ffmpeg;
  
  
  
  import org.bytedeco.javacpp.BytePointer;
  
  import org.bytedeco.javacpp.Pointer;
  
  
  
  import java.nio.Buffer;
  
  
  
  import static org.bytedeco.javacpp.opencv_core.CV_16S;
  
  import static org.bytedeco.javacpp.opencv_core.CV_16U;
  
  import static org.bytedeco.javacpp.opencv_core.CV_32F;
  
  import static org.bytedeco.javacpp.opencv_core.CV_32S;
  
  import static org.bytedeco.javacpp.opencv_core.CV_64F;
  
  import static org.bytedeco.javacpp.opencv_core.CV_8S;
  
  import static org.bytedeco.javacpp.opencv_core.CV_8U;
  
  import static org.bytedeco.javacpp.opencv_core.CV_MAKETYPE;
  
  import static org.bytedeco.javacpp.opencv_core.IPL_DEPTH_16S;
  
  import static org.bytedeco.javacpp.opencv_core.IPL_DEPTH_16U;
  
  import static org.bytedeco.javacpp.opencv_core.IPL_DEPTH_32F;
  
  import static org.bytedeco.javacpp.opencv_core.IPL_DEPTH_32S;
  
  import static org.bytedeco.javacpp.opencv_core.IPL_DEPTH_64F;
  
  import static org.bytedeco.javacpp.opencv_core.IPL_DEPTH_8S;
  
  import static org.bytedeco.javacpp.opencv_core.IPL_DEPTH_8U;
  
  import static org.bytedeco.javacpp.opencv_core.IplImage;
  
  import static org.bytedeco.javacpp.opencv_core.Mat;
  
  
  
  /**
  
   * A utility class to map data between {@link Frame} and {@link IplImage} or {@link Mat}.
  
   * Since this is an abstract class, one must choose between two concrete classes:
  
   * {@link ToIplImage} or {@link ToMat}.
  
   *
  
   * @author Samuel Audet
  
   */
  
  public abstract class OpenCVFrameConverter<f> extends FrameConverter<f> {
  
      IplImage img;
  
      Mat mat;
  
  
  
      public static class ToIplImage extends OpenCVFrameConverter<iplimage> {
  
          @Override public IplImage convert(Frame frame) { return convertToIplImage(frame); }
  
      }
  
  
  
      public static class ToMat extends OpenCVFrameConverter<mat> {
  
          @Override public Mat convert(Frame frame) { return convertToMat(frame); }
  
      }
  
  
  
      public static int getFrameDepth(int depth) {
  
          switch (depth) {
  
              case IPL_DEPTH_8U:  case CV_8U:  return Frame.DEPTH_UBYTE;
  
              case IPL_DEPTH_8S:  case CV_8S:  return Frame.DEPTH_BYTE;
  
              case IPL_DEPTH_16U: case CV_16U: return Frame.DEPTH_USHORT;
  
              case IPL_DEPTH_16S: case CV_16S: return Frame.DEPTH_SHORT;
  
              case IPL_DEPTH_32F: case CV_32F: return Frame.DEPTH_FLOAT;
  
              case IPL_DEPTH_32S: case CV_32S: return Frame.DEPTH_INT;
  
              case IPL_DEPTH_64F: case CV_64F: return Frame.DEPTH_DOUBLE;
  
              default: return -1;
  
          }
  
      }
  
  
  
      public static int getIplImageDepth(Frame frame) {
  
          switch (frame.imageDepth) {
  
              case Frame.DEPTH_UBYTE:  return IPL_DEPTH_8U;
  
              case Frame.DEPTH_BYTE:   return IPL_DEPTH_8S;
  
              case Frame.DEPTH_USHORT: return IPL_DEPTH_16U;
  
              case Frame.DEPTH_SHORT:  return IPL_DEPTH_16S;
  
              case Frame.DEPTH_FLOAT:  return IPL_DEPTH_32F;
  
              case Frame.DEPTH_INT:    return IPL_DEPTH_32S;
  
              case Frame.DEPTH_DOUBLE: return IPL_DEPTH_64F;
  
              default:  return -1;
  
          }
  
      }
  
      static boolean isEqual(Frame frame, IplImage img) {
  
          return img != null &amp;&amp; frame != null &amp;&amp; frame.image != null &amp;&amp; frame.image.length > 0
  
                  &amp;&amp; frame.imageWidth == img.width() &amp;&amp; frame.imageHeight == img.height()
  
                  &amp;&amp; frame.imageChannels == img.nChannels() &amp;&amp; getIplImageDepth(frame) == img.depth()
  
                  &amp;&amp; new Pointer(frame.image[0]).address() == img.imageData().address()
  
                  &amp;&amp; frame.imageStride * Math.abs(frame.imageDepth) / 8 == img.widthStep();
  
      }
  
      public IplImage convertToIplImage(Frame frame) {
  
          if (frame == null) {
  
              return null;
  
          } else if (frame.opaque instanceof IplImage) {
  
              return (IplImage)frame.opaque;
  
          } else if (!isEqual(frame, img)) {
  
              int depth = getIplImageDepth(frame);
  
              img = depth &lt; 0 ? null : IplImage.createHeader(frame.imageWidth, frame.imageHeight, depth, frame.imageChannels)
  
                      .imageData(new BytePointer(new Pointer(frame.image[0].position(0)))).widthStep(frame.imageStride * Math.abs(frame.imageDepth) / 8);
  
          }
  
          return img;
  
      }
  
      public Frame convert(IplImage img) {
  
          if (img == null) {
  
              return null;
  
          } else if (!isEqual(frame, img)) {
  
              frame = new Frame();
  
              frame.imageWidth = img.width();
  
              frame.imageHeight = img.height();
  
              frame.imageDepth = getFrameDepth(img.depth());
  
              frame.imageChannels = img.nChannels();
  
              frame.imageStride = img.widthStep() * 8 / Math.abs(frame.imageDepth);
  
              frame.image = new Buffer[] { img.createBuffer() };
  
              frame.opaque = img;
  
          }
  
          return frame;
  
      }
  
  
  
      public static int getMatDepth(Frame frame) {
  
          switch (frame.imageDepth) {
  
              case Frame.DEPTH_UBYTE:  return CV_8U;
  
              case Frame.DEPTH_BYTE:   return CV_8S;
  
              case Frame.DEPTH_USHORT: return CV_16U;
  
              case Frame.DEPTH_SHORT:  return CV_16S;
  
              case Frame.DEPTH_FLOAT:  return CV_32F;
  
              case Frame.DEPTH_INT:    return CV_32S;
  
              case Frame.DEPTH_DOUBLE: return CV_64F;
  
              default:  return -1;
  
          }
  
      }
  
      static boolean isEqual(Frame frame, Mat mat) {
  
          return mat != null &amp;&amp; frame != null &amp;&amp; frame.image != null &amp;&amp; frame.image.length > 0
  
                  &amp;&amp; frame.imageWidth == mat.cols() &amp;&amp; frame.imageHeight == mat.rows()
  
                  &amp;&amp; frame.imageChannels == mat.channels() &amp;&amp; getMatDepth(frame) == mat.depth()
  
                  &amp;&amp; new Pointer(frame.image[0]).address() == mat.data().address()
  
                  &amp;&amp; frame.imageStride * Math.abs(frame.imageDepth) / 8 == (int)mat.step();
  
      }
  
      public Mat convertToMat(Frame frame) {
  
          if (frame == null) {
  
              return null;
  
          } else if (frame.opaque instanceof Mat) {
  
              return (Mat)frame.opaque;
  
          } else if (!isEqual(frame, mat)) {
  
              int depth = getMatDepth(frame);
  
              mat = depth &lt; 0 ? null : new Mat(frame.imageHeight, frame.imageWidth, CV_MAKETYPE(depth, frame.imageChannels),
  
                      new Pointer(frame.image[0].position(0)), frame.imageStride * Math.abs(frame.imageDepth) / 8);
  
          }
  
          return mat;
  
      }
  
      public Frame convert(Mat mat) {
  
          if (mat == null) {
  
              return null;
  
          } else if (!isEqual(frame, mat)) {
  
              frame = new Frame();
  
              frame.imageWidth = mat.cols();
  
              frame.imageHeight = mat.rows();
  
              frame.imageDepth = getFrameDepth(mat.depth());
  
              frame.imageChannels = mat.channels();
  
              frame.imageStride = (int)mat.step() * 8 / Math.abs(frame.imageDepth);
  
              frame.image = new Buffer[] { mat.createBuffer() };
  
              frame.opaque = mat;
  
          }
  
          return frame;
  
      }
  
  }
  
  </mat></iplimage></f></f>

• Cannot read xvid video with opencv in python on mac

  15 février 2017, par crazjo

  I have been trying for hours to read a xvid .avi file on my mac with python 2.7 and opencv. I have installed all the latest versions using brew and opencv is working in python and I can open images and other movie files but when I try to read a xvid avi file with

  cap.cv2.VideoCapture('video.AVI')
  
  ret, frame = cap.read()

  It fails as frame is empty. I have installed ffmpeg with brew and x264 as well and ran brew doctor. I am totally lost what to do now. Happy to provide more information if needed. I hope someone can help me, thanks.