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• Crop video scale square to round shape -Android

  13 septembre 2019, par Adil

  Currently I’m developing video editing app, in which i want to overlay video to image i used FFMPEG library and use overlay command and export video to video.mp4 format

  Here is done with overlay command :

  private void extractImagesVideo() {
  
      File moviesDir = Environment.getExternalStoragePublicDirectory(
  
      Environment.DIRECTORY_PICTURES
  
  );
  
  
  
  String filePrefix = "extract_picture";
  
  String fileExtn = ".mp4";
  
  
  
  File dir = new File(moviesDir, "VideoEditor");
  
  int fileNo = 0;
  
  while (dir.exists()) {
  
  fileNo++;
  
  dir = new File(moviesDir, "VideoEditor" + fileNo);
  
  
  
  }
  
  dir.mkdir();
  
  File dest = new File(dir, filePrefix + "%03d" + fileExtn);
  
  
  
  Log.d(TAG, "startTrim: dest: " + dest.getAbsolutePath());
  
  
  
  // String complexCommand[]={"-y","-i",mStrImagePath,"-i",mStrVideoPath,"-filter_complex","[0]scale=720:1280:force_original_aspect_ratio=decrease,drawbox=x=10:y=10:w=100:h=100:color=pink@0.5:t=max: (ow-iw)/2:(oh-ih)/2,setsar=1[backd],[backd][1] overlay=x=(main_w-overlay_w)/(main_w-overlay_w):y=(main_h-overlay_h)","-acodec","copy",dest.getAbsolutePath()};
  
  
  
  String complexCommand[]={"-y","-i",mStrVideoPath,"-f","lavfi","-i","color=c=black:s=1920x1080","-filter_complex","[0:v]scale=w=0.80*iw:h=0.80*ih[scaled],[1:v][scaled]overlay=x=0.10*main_w:y=0.10*main_h:eof_action=endall[out]","-acodec","copy",dest.getAbsolutePath()};
  
  
  
  
  
  // String complexCommand[]={"-y","-i",mStrImagePath,"-i",mStrVideoPath,"-filter_complex","[1:v] scale=200:200 [ovr1], [1:v] scale=200:200 [ovrl2], [0:v][ovr1] overlay=25:25:enable='between(t,0,20)' [temp1], [temp1][ovrl2] overlay=50:50:enable='between(t,20,40)'","-acodec","copy",dest.getAbsolutePath()};
  
  // String complexCommand[]={"-y","-i",mStrImagePath,"-i",mStrVideoPath,"-filter_complex","[0]scale=1024:1280:force_original_aspect_ratio=decrease,pad=1024:1280:(ow-iw)/2:(oh-ih)/2,setsar=1[backd],[backd][1] overlay=x=(main_w-overlay_w)/(main_w-overlay_w):y=(main_h-overlay_h):shortest=1","-acodec","copy",dest.getAbsolutePath()};
  
  
  
  /* Remove -r 1 if you want to extract all video frames as images from the specified time duration.*/
  
  execFFmpegBinary(complexCommand);
  
  }

  Issue is video showing square shape i want to crop video into rounded shape, i check almost solutions and check also FFMPEG commands , i found mask overlay on video but isn’t a proper solution

• How to solve error : "cvCreateFileCaptureWithPreference : backend FFMPEG doesn't support legacy API anymore"

  24 octobre 2018, par Sarvin

  I am trying to build and run an OpenCV project from Github using OpenCV 3.4.2, Cmake 3.13.0-rc1 and VS 2017. The project builds successfully as I understand from the build output but it throws the above warning after I run the program. The video I want to load is in a .AVI format and uses cvCaptureFromAVI function. Just trying to learn OpenCV, your help and kindness is appreciated.

  Source :

  #include <iostream>
  
  #include <opencv2></opencv2>opencv.hpp>
  
  
  
  #include "package_bgs/PBAS/PixelBasedAdaptiveSegmenter.h"
  
  #include "package_tracking/BlobTracking.h"
  
  #include "package_analysis/VehicleCouting.h"
  
  
  
  using namespace cv;
  
  
  
  int main(int argc, char **argv)
  
  {
  
    std::cout &lt;&lt; "Using OpenCV " &lt;&lt; CV_MAJOR_VERSION &lt;&lt; "." &lt;&lt; 
  
    CV_MINOR_VERSION &lt;&lt; "." &lt;&lt; CV_SUBMINOR_VERSION &lt;&lt; std::endl;
  
  
  
    /* Open video file */
  
    CvCapture *capture = 0;
  
  
  
    capture = cvCaptureFromAVI("video.avi");
  
    if(!capture){
  
      std::cerr &lt;&lt; "Cannot open video ting tong!" &lt;&lt; std::endl;
  
      return 1;
  
    }
  
  
  
    /* Background Subtraction Algorithm */
  
    IBGS *bgs;
  
    bgs = new PixelBasedAdaptiveSegmenter;
  
  
  
    /* Blob Tracking Algorithm */
  
  
  
  
  
  
  
  cv::Mat img_blob;
  
    BlobTracking* blobTracking;
  
    blobTracking = new BlobTracking;
  
  
  
    /* Vehicle Counting Algorithm */
  
    VehicleCouting* vehicleCouting;
  
    vehicleCouting = new VehicleCouting;
  
  
  
    std::cout &lt;&lt; "Press 'q' to quit..." &lt;&lt; std::endl;
  
    int key = 0;
  
    IplImage *frame;
  
    while(key != 'q')
  
    {
  
      frame = cvQueryFrame(capture);
  
      if(!frame) break;
  
  
  
      cv::Mat img_input = cv::cvarrToMat(frame);
  
      cv::imshow("Input", img_input);
  
  
  
      // bgs->process(...) internally process and show the foreground mask image
  
      cv::Mat img_mask;
  
      bgs->process(img_input, img_mask);
  
  
  
      if(!img_mask.empty())
  
      {
  
        // Perform blob tracking
  
        blobTracking->process(img_input, img_mask, img_blob);
  
  
  
        // Perform vehicle counting
  
        vehicleCouting->setInput(img_blob);
  
        vehicleCouting->setTracks(blobTracking->getTracks());
  
        vehicleCouting->process();
  
      }
  
  
  
      key = cvWaitKey(1);
  
    }
  
  
  
    delete vehicleCouting;
  
    delete blobTracking;
  
    delete bgs;
  
  
  
    cvDestroyAllWindows();
  
    cvReleaseCapture(&amp;capture);
  
  
  
    return 0;
  
  }
  
  </iostream>

  Error :

  

• Live stream is gets delayed while processing frame in opencv + python

  18 mars 2021, par Himanshu sharma

  I capture and process an IP camera RTSP stream in a OpenCV 4.4.0.46 on Ubuntu.
Unfortunately the processing takes quite a lot of time, roughly 0.2s per frame, and the stream quickly gets delayed.
Video file have to save for 5 min but by this delaying video file is saved for 3-4 min only.

  


  Can we process faster to overcome delays ?

  


  I have two IP camera which have two diffrent fps_rate(Camera 1 have 18000 and camera 2 have 20 fps)

  


  I am implementing this code in difference Ubuntu PCs

  


  

  • Python 3.8.5 (default, Jul 28 2020, 12:59:40) [GCC 9.3.0] on linux

  


  • Django==3.1.2

  


  • Ubuntu = 18.04 and 20.04

  


  • opencv-contrib-python==4.4.0.46

  


  • opencv-python==4.4.0.46

  


  


  input_stream = 'rtsp://'+username+':'+password+'@'+ip+'/user='+username+'_password='+password+'_channel=0channel_number_stream=0.sdp'
input_stream---> rtsp://admin:Admin123@192.168.1.208/user=admin_password=Admin123_channel=0channel_number_stream=0.sdp

input_stream---> rtsp://Admin:@192.168.1.209/user=Admin_password=_channel=0channel_number_stream=0.sdp

vs = cv2.VideoCapture(input_stream)
fps_rate = int(vs.get(cv2.CAP_PROP_FPS))
I have two IP camera which have two diffrent fps_rate(Camera 1 have 18000 and camera 2 have 20 fps)

video_file_name = 0
start_time = time.time()
while(True):
    ret, frame = vs.read()
    time.sleep(0.2)     # <= Simulate processing time (mask detection, face detection and many detection is hapning)


    ###  Start of  writing a video to disk          
    minute = 5  ## saving a file for 5 minute only then saving another file for 5 min
    second  = 60
    minite_to_save_video = int(minute) * int(second)


    # if we are supposed to be writing a video to disk, initialize
    if time.time() - start_time >= minite_to_save_video or  video_file_name == 0 :
        ## where H = heigth, W = width, C = channel 
        H, W, C = frame.shape
        
        print('time.time()-->',time.time(),'video_file_name-->', video_file_name,  ' #####')
        start_time = time.time()

        video_file_name = str(time.mktime(datetime.datetime.now().timetuple())).replace('.0', '')
        output_save_directory = output_stream+str(int(video_file_name))+'.mp4'


        fourcc = cv2.VideoWriter_fourcc(*'avc1')
        
        writer = cv2.VideoWriter(output_save_directory, fourcc,20.0,(W, H), True)

    # check to see if we should write the frame to disk
    if writer is not None:
        
        try:
            writer.write(frame)

        except Exception as e:
            print('Error in writing video output---> ', e)