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• Python cv2 script that scans a giant image to a video. Why do I need pad two extra lines

  27 avril 2022, par Mahrarena

  I wrote a script that scans a giant image to make a video. Normally I just post my scripts straight to my Code Review account, but this script is ugly, needs to be refactored, implements only horizontal scrolling and most importantly I just fixed a bug but I don't completely understand why it works.

  


  Example :

  


  Original image (Google Drive)

  


  Video Output (Google Drive)

  


  As you can see from the video, everything is working properly except the fact that I don't know how it works.

  


  Full working code

  


  ---

  


  import cv2
import numpy as np
import random
import rpack
from fractions import Fraction
from math import prod

def resize_guide(image_size, target_area):
    aspect_ratio = Fraction(*image_size).limit_denominator()
    horizontal = aspect_ratio.numerator
    vertical = aspect_ratio.denominator
    unit_length = (target_area/(horizontal*vertical))**.5
    return (int(horizontal*unit_length), int(vertical*unit_length))

fourcc = cv2.VideoWriter_fourcc(*'mp4v')
FRAME = np.zeros((1080, 1920, 3), dtype=np.uint8)

def new_frame():
    return np.ndarray.copy(FRAME)

def center(image):
    frame = new_frame()
    h, w = image.shape[:2]
    yoff = round((1080-h)/2)
    xoff = round((1920-w)/2)
    frame[yoff:yoff+h, xoff:xoff+w] = image
    return frame

def image_scanning(file, fps=60, pan_increment=64, horizontal_increment=8):
    image = cv2.imread(file)
    height, width = image.shape[:2]
    assert width*height >= 1920*1080
    video_writer = cv2.VideoWriter(file+'.mp4', fourcc, fps, (1920, 1080))
    fit_height = True
    if height < 1080:
        width = width*1080/height
        image = cv2.resize(image, (width, 1080), interpolation = cv2.INTER_AREA)
    aspect_ratio = width / height
    zooming_needed = False
    if 4/9 <= aspect_ratio <= 16/9:
        new_width = round(width*1080/height)
        fit = cv2.resize(image, (new_width, 1080), interpolation = cv2.INTER_AREA)
        zooming_needed = True
    
    elif 16/9 < aspect_ratio <= 32/9:
        new_height = round(height*1920/width)
        fit = cv2.resize(image, (1920, new_height), interpolation = cv2.INTER_AREA)
        fit_height = False
        zooming_needed = True
    
    centered = center(fit)
    for i in range(fps):
        video_writer.write(centered)
    if fit_height:
        xoff = round((1920 - new_width)/2)
        while xoff:
            if xoff - pan_increment >= 0:
                xoff -= pan_increment
            else:
                xoff = 0
            frame = new_frame()
            frame[0:1080, xoff:xoff+new_width] = fit
            video_writer.write(frame)
    else:
        yoff = round((1080 - new_height)/2)
        while yoff:
            if yoff - pan_increment >= 0:
                yoff -= pan_increment
            else:
                yoff = 0
            frame = new_frame()
            frame[yoff:yoff+new_height, 0:1920] = fit
            video_writer.write(frame)
    
    if zooming_needed:
        if fit_height:
            width_1, height_1 = new_width, 1080
        else:
            width_1, height_1 = 1920, new_height
        new_area = width_1 * height_1
        original_area = width * height
        area_diff = original_area - new_area
        unit_diff = area_diff / fps
        for i in range(1, fps+1):
            zoomed = cv2.resize(image, resize_guide((width_1, height_1), new_area+unit_diff*i), interpolation=cv2.INTER_AREA)
            zheight, zwidth = zoomed.shape[:2]
            zheight = min(zheight, 1080)
            zwidth = min(zwidth, 1920)
            frame = new_frame()
            frame[0:zheight, 0:zwidth] = zoomed[0:zheight, 0:zwidth]
            video_writer.write(frame)
    
    if (width - 1920) % horizontal_increment:
        new_width = ((width - 1920) // horizontal_increment + 1) * horizontal_increment + 1920
        frame = np.zeros([height, new_width, 3], dtype=np.uint8)
        frame[0:height, 0:width] = image
        width = new_width
        image = frame
    
    if height % 1080:
        new_height = (height // 1080 + 2) * 1080
        frame = np.zeros([new_height, width, 3], dtype=np.uint8)
        frame[0:height, 0:width] = image
        height = new_height - 1080
        image = frame
    
    y, x = 0, 0
    for y in range(0, height, 1080):
        for x in range(0, width-1920, horizontal_increment):
            frame = image[y:y+1080, x:x+1920]
            video_writer.write(frame)
        x = width - 1920
        frame = image[y:y+1080, x:x+1920]
        for i in range(round(fps/3)):
            video_writer.write(frame)
    cv2.destroyAllWindows()
    video_writer.release()
    del video_writer


  


  I don't know why I need to pad two extra lines instead of one, meaning if I change this :

  


      if height % 1080:
        new_height = (height // 1080 + 2) * 1080
        frame = np.zeros([new_height, width, 3], dtype=np.uint8)
        frame[0:height, 0:width] = image
        height = new_height - 1080
        image = frame


  


  To this :

  


      if height % 1080:
        new_height = (height // 1080 + 1) * 1080
        frame = np.zeros([new_height, width, 3], dtype=np.uint8)
        frame[0:height, 0:width] = image
        height = new_height
        image = frame


  


  The program raises exceptions :

  


  OpenCV: FFMPEG: tag 0x34363268/&#x27;h264&#x27; is not supported with codec id 27 and format &#x27;mp4 / MP4 (MPEG-4 Part 14)&#x27;&#xA;OpenCV: FFMPEG: fallback to use tag 0x31637661/&#x27;avc1&#x27;&#xA;---------------------------------------------------------------------------&#xA;error                                     Traceback (most recent call last)&#xA; in <module>&#xA;----> 1 image_scanning("D:/collages/91f53ebcea2a.png")&#xA;&#xA; in image_scanning(file, fps, pan_increment, horizontal_increment, fast_decrement)&#xA;    122                     x &#x2B;= horizontal_increment&#xA;    123                     frame = image[y:y&#x2B;1080, x:x&#x2B;1920]&#xA;--> 124                     video_writer.write(frame)&#xA;    125     cv2.destroyAllWindows()&#xA;    126     video_writer.release()&#xA;&#xA;error: Unknown C&#x2B;&#x2B; exception from OpenCV code&#xA;</module>

  


  I guess it was caused by indexing error because the last line would not have enough pixels so padding the height of the image to a multiple of 1080 should work.

  


  But that's not the case, I need to pad two lines, why is that ? I really don't understand why it is working.

  


  ---

  


  No, I really wrote all of it, I understand all the principles, the ideas are all mine, but there is one small problem in implementation. I don't know why I need extra pixels in the bottom to make it work, because if I don't pad the height to a multiple of 1080, I can't get the bottom line, the lowest potion of height % 1080 would be lost.

  


  If I tried to get the lowest part, the program will raise exceptions even if I pad the height to a multiple of 1080, I think it is related to indexing but I don't fully understand it, turns out I need to pad the height and add extra pixels, even 1 pixel would work.

  


  I don't know why it raises exceptions and how add extra pixels got rid of the exception, but I understand everything else perfectly clear, after all I wrote it.

  


  There's a bug in my program, I don't know what caused it, and I want you to help me debugging, and that's the entire point of the question !

  


• Decoding MediaRecorder produced webm stream

  15 août 2019, par sgmg

  I am trying to decode a video stream from the browser using the ffmpeg API. The stream is produced by the webcam and recorded with MediaRecorder as webm format. What I ultimately need is a vector of opencv cv::Mat objects for further processing.

  I have written a C++ webserver using the uWebsocket library. The video stream is sent via websocket from the browser to the server once per second. On the server, I append the received data to my custom buffer and decode it with the ffmpeg API.

  If I just save the data on the disk and later I play it with a media player, it works fine. So, whatever the browser sends is a valid video.

  I do not think that I correctly understand how should the custom IO behave with network streaming as nothing seems to be working.

  The custom buffer :

   struct Buffer
  
      {
  
          std::vector data;
  
          int currentPos = 0;
  
      };

  The readAVBuffer method for custom IO

  int MediaDecoder::readAVBuffer(void* opaque, uint8_t* buf, int buf_size)
  
  {
  
      MediaDecoder::Buffer* mbuf = (MediaDecoder::Buffer*)opaque;
  
      int count = 0;
  
      for(int i=0;icurrentPos;
  
          if(index >= (int)mbuf->data.size())
  
          {
  
              break;
  
          }
  
          count++;
  
          buf[i] = mbuf->data.at(index);
  
      }
  
      if(count > 0) mbuf->currentPos+=count;
  
  
  
      std::cout << "read : "<currentPos<<", buff size:"<data.size() << std::endl;
  
      if(count <= 0) return AVERROR(EAGAIN); //is this error that should be returned? It cannot be EOF since we're not done yet, most likely
  
      return count;
  
  }

  The big decode method, that’s supposed to return whatever frames it could read

  std::vector MediaDecoder::decode(const char* data, size_t length)
  
  {
  
      std::vector frames;
  
      //add data to the buffer
  
      for(size_t i=0;i/do not invoke the decoders until we have 1MB of data
  
      if(((buf.data.size() - buf.currentPos) < 1*1024*1024) && !initializedCodecs) return frames;
  
  
  
      std::cout << "decoding data length "</initialize ffmpeg objects. Custom I/O, format, decoder, etc.
  
      {       
  
          //these are just members of the class 
  
          avioCtxPtr = std::unique_ptr(
  
                      avio_alloc_context((uint8_t*)av_malloc(4096),4096,0,&buf,&readAVBuffer,nullptr,nullptr),
  
                      avio_context_deleter());
  
          if(!avioCtxPtr)
  
          {
  
              std::cerr << "Could not create IO buffer" << std::endl;
  
              return frames;
  
          }                
  
  
  
          fmt_ctx = std::unique_ptr(avformat_alloc_context(),
  
                                                                            avformat_context_deleter());
  
          fmt_ctx->pb = avioCtxPtr.get();
  
          fmt_ctx->flags |= AVFMT_FLAG_CUSTOM_IO ;
  
          //fmt_ctx->max_analyze_duration = 2 * AV_TIME_BASE; // read 2 seconds of data
  
          {
  
              AVFormatContext *fmtCtxRaw = fmt_ctx.get();            
  
              if (avformat_open_input(&fmtCtxRaw, "", nullptr, nullptr) < 0) {
  
                  std::cerr << "Could not open movie" << std::endl;
  
                  return frames;
  
              }
  
          }
  
          if (avformat_find_stream_info(fmt_ctx.get(), nullptr) < 0) {
  
              std::cerr << "Could not find stream information" << std::endl;
  
              return frames;
  
          }
  
          if((video_stream_idx = av_find_best_stream(fmt_ctx.get(), AVMEDIA_TYPE_VIDEO, -1, -1, nullptr, 0)) < 0)
  
          {
  
              std::cerr << "Could not find video stream" << std::endl;
  
              return frames;
  
          }
  
          AVStream *video_stream = fmt_ctx->streams[video_stream_idx];
  
          AVCodec *dec = avcodec_find_decoder(video_stream->codecpar->codec_id);
  
  
  
          video_dec_ctx = std::unique_ptr (avcodec_alloc_context3(dec),
  
                                                                                avcodec_context_deleter());
  
          if (!video_dec_ctx)
  
          {
  
              std::cerr << "Failed to allocate the video codec context" << std::endl;
  
              return frames;
  
          }
  
          avcodec_parameters_to_context(video_dec_ctx.get(),video_stream->codecpar);
  
          video_dec_ctx->thread_count = 1;
  
         /* video_dec_ctx->max_b_frames = 0;
  
          video_dec_ctx->frame_skip_threshold = 10;*/
  
  
  
          AVDictionary *opts = nullptr;
  
          av_dict_set(&opts, "refcounted_frames", "1", 0);
  
          av_dict_set(&opts, "deadline", "1", 0);
  
          av_dict_set(&opts, "auto-alt-ref", "0", 0);
  
          av_dict_set(&opts, "lag-in-frames", "1", 0);
  
          av_dict_set(&opts, "rc_lookahead", "1", 0);
  
          av_dict_set(&opts, "drop_frame", "1", 0);
  
          av_dict_set(&opts, "error-resilient", "1", 0);
  
  
  
          int width = video_dec_ctx->width;
  
          videoHeight = video_dec_ctx->height;
  
  
  
          if(avcodec_open2(video_dec_ctx.get(), dec, &opts) < 0)
  
          {
  
              std::cerr << "Failed to open the video codec context" << std::endl;
  
              return frames;
  
          }
  
  
  
          AVPixelFormat  pFormat = AV_PIX_FMT_BGR24;
  
          img_convert_ctx = std::unique_ptr(sws_getContext(width, videoHeight,
  
                                           video_dec_ctx->pix_fmt,   width, videoHeight, pFormat,
  
                                           SWS_BICUBIC, nullptr, nullptr,nullptr),swscontext_deleter());
  
  
  
          frame = std::unique_ptr(av_frame_alloc(),avframe_deleter());
  
          frameRGB = std::unique_ptr(av_frame_alloc(),avframe_deleter());
  
  
  
  
  
          int numBytes = av_image_get_buffer_size(pFormat, width, videoHeight,32 /*https://stackoverflow.com/questions/35678041/what-is-linesize-alignment-meaning*/);
  
          std::unique_ptr imageBuffer((uint8_t *) av_malloc(numBytes*sizeof(uint8_t)),avbuffer_deleter());
  
          av_image_fill_arrays(frameRGB->data,frameRGB->linesize,imageBuffer.get(),pFormat,width,videoHeight,32);
  
          frameRGB->width = width;
  
          frameRGB->height = videoHeight;
  
  
  
          initializedCodecs = true;
  
      }    
  
      AVPacket pkt;
  
      av_init_packet(&pkt);
  
      pkt.data = nullptr;
  
      pkt.size = 0;
  
  
  
      int read_frame_return = 0;
  
      while ( (read_frame_return=av_read_frame(fmt_ctx.get(), &pkt)) >= 0)
  
      {
  
          readFrame(&frames,&pkt,video_dec_ctx.get(),frame.get(),img_convert_ctx.get(),
  
                    videoHeight,frameRGB.get());
  
          //if(cancelled) break;
  
      }
  
      avioCtxPtr->eof_reached = 0;
  
      avioCtxPtr->error = 0;
  
  
  
  
  
      //flush
  
     // readFrame(frames.get(),nullptr,video_dec_ctx.get(),frame.get(),
  
       //         img_convert_ctx.get(),videoHeight,frameRGB.get());
  
  
  
      avioCtxPtr->eof_reached = 0;
  
      avioCtxPtr->error = 0;
  
  
  
      if(frames->size() <= 0)
  
      {
  
          std::cout << "buffer pos: "<code>

  What I would expect to happen would be for a continuous extraction of cv::Mat frames as I feed it more and more data. What actually happens is that after the the buffer is fully read I see :

  [matroska,webm @ 0x507b450] Read error at pos. 1278266 (0x13813a)
  
  [matroska,webm @ 0x507b450] Seek to desired resync point failed. Seeking to earliest point available instead.

  And then no more bytes are read from the buffer even if later I increase the size of it.

  There is something terribly wrong I’m doing here and I don’t understand what.

• piping images from simulation into ffmpeg

  24 mars 2020, par Leonard Becker

  I’m writing a script that creates a video from images during their creation. A simulation software is writing out images with an unknown time interval (seconds to minutes). I’m doing this because mp4 is taking up much less space. Also, the images will end up in a video anyhow.

  Here is my code. I commented the most important parts (as far as I understand). I gathered this from other posts I can’t find the link to anymore.

  #!/usr/bin/bash
  
  # Create pipe and start piping it to ffmpeg process
  
  mkfifo pipe
  
  cat pipe | ffmpeg -y -f image2pipe -i pipe:0 -c:v libx264 -pix_fmt yuv420p ../output_video.mp4 &
  
  
  
  # Open pipe for writing.
  
  exec 3>pipe
  
  
  
  while true; do # loop endlessly
  
    sleep .05;   # is there a new image? get the oldest of them
  
    if ls -A *.png 1> /dev/null 2>$1; then
  
      NEWFILE=$( ls -At *.png | tail -n 1 );
  
      echo "$NEWFILE" 
  
      cat "$NEWFILE" >&3 # add the png to the pipe
  
  #     rm out.png; # remove or backup the image
  
      mv "$NEWFILE" "./backup/$NEWFILE";
  
    fi
  
  done

  My script is actually quite far already. It works fine for images in a folder and when the pictures are delivered quickly. When the images come one by one with longer intervals ffmpeg just seems to stop listening to the pipe input.

  Here is the log from an example - not sure if this is helpful. Files 465 to 540 are already present in the folder, the others are added with 15s intervals. As we can see ffmpeg first waits for 8-10 images to arrive before starting to compile. Afterwards ffmpeg continues to wait for images and compiling them. At the end I abort the script, now ffmpeg completes the mp4.

  But when I write out the frames of the mp4 it includes every frame until image 610. Why did ffmpeg stop to listen to the pipe ? The ’chunk too big’ error could be a hint, but how do I fix it ?

  scene_image_00465.png
  
  ffmpeg version 2.6.8 Copyright (c) 2000-2016 the FFmpeg developers
  
    built with gcc 4.8.5 (GCC) 20150623 (Red Hat 4.8.5-4)
  
    configuration: --prefix=/usr --bindir=/usr/bin --datadir=/usr/share/ffmpeg --incdir=/usr/include/ffmpeg --libdir=/usr/lib64 --mandir=/usr/share/man --arch=x86_64 --optflags='-O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic' --enable-bzlib --disable-crystalhd --enable-gnutls --enable-ladspa --enable-libass --enable-libcdio --enable-libdc1394 --enable-libfaac --enable-nonfree --enable-libfdk-aac --enable-nonfree --disable-indev=jack --enable-libfreetype --enable-libgsm --enable-libmp3lame --enable-openal --enable-libopenjpeg --enable-libopus --enable-libpulse --enable-libschroedinger --enable-libsoxr --enable-libspeex --enable-libtheora --enable-libvorbis --enable-libv4l2 --enable-libx264 --enable-libx265 --enable-libxvid --enable-x11grab --enable-avfilter --enable-avresample --enable-postproc --enable-pthreads --disable-static --enable-shared --enable-gpl --disable-debug --disable-stripping --shlibdir=/usr/lib64 --enable-runtime-cpudetect
  
    libavutil      54. 20.100 / 54. 20.100
  
    libavcodec     56. 26.100 / 56. 26.100
  
    libavformat    56. 25.101 / 56. 25.101
  
    libavdevice    56.  4.100 / 56.  4.100
  
    libavfilter     5. 11.102 /  5. 11.102
  
    libavresample   2.  1.  0 /  2.  1.  0
  
    libswscale      3.  1.101 /  3.  1.101
  
    libswresample   1.  1.100 /  1.  1.100
  
    libpostproc    53.  3.100 / 53.  3.100
  
  scene_image_00470.png
  
  scene_image_00475.png
  
  scene_image_00480.png
  
  scene_image_00485.png
  
  scene_image_00490.png
  
  scene_image_00495.png
  
  scene_image_00500.png
  
  scene_image_00505.png
  
  scene_image_00510.png
  
  Input #0, image2pipe, from 'pipe:0':
  
    Duration: N/A, bitrate: N/A
  
      Stream #0:0: Video: png, rgb24, 1920x1200, 25 fps, 25 tbr, 25 tbn, 25 tbc
  
  [libx264 @ 0x19c0980] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX AVX2 FMA3 LZCNT BMI2
  
  [libx264 @ 0x19c0980] profile High, level 5.0
  
  [libx264 @ 0x19c0980] 264 - core 142 r2495 6a301b6 - H.264/MPEG-4 AVC codec - Copyleft 2003-2014 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=18 lookahead_threads=3 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=25 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=23.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00
  
  Output #0, mp4, to '../output_video.mp4':
  
    Metadata:
  
      encoder         : Lavf56.25.101
  
      Stream #0:0: Video: h264 (libx264) ([33][0][0][0] / 0x0021), yuv420p, 1920x1200, q=-1--1, 25 fps, 12800 tbn, 25 tbc
  
      Metadata:
  
        encoder         : Lavc56.26.100 libx264
  
  Stream mapping:
  
    Stream #0:0 -> #0:0 (png (native) -> h264 (libx264))
  
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  [png @ 0x35d0660] chunk too big=0.0 size=       0kB time=00:00:00.00 bitrate=N/A    
  
  frame=   30 fps=0.1 q=-1.0 Lsize=     754kB time=00:00:01.12 bitrate=5517.3kbits/s    
  
  video:753kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.155077%
  
  [libx264 @ 0x19c0980] frame I:1     Avg QP:18.39  size:107795
  
  [libx264 @ 0x19c0980] frame P:8     Avg QP:24.90  size: 36026
  
  [libx264 @ 0x19c0980] frame B:21    Avg QP:28.37  size: 17835
  
  [libx264 @ 0x19c0980] consecutive B-frames:  3.3%  6.7% 10.0% 80.0%
  
  [libx264 @ 0x19c0980] mb I  I16..4: 32.2% 41.7% 26.0%
  
  [libx264 @ 0x19c0980] mb P  I16..4:  0.4%  1.2%  1.3%  P16..4:  4.9%  6.8%  7.6%  0.0%  0.0%    skip:77.8%
  
  [libx264 @ 0x19c0980] mb B  I16..4:  0.1%  0.4%  0.6%  B16..8: 10.1%  5.6%  3.3%  direct: 2.0%  skip:77.9%  L0:42.0% L1:44.5% BI:13.5%
  
  [libx264 @ 0x19c0980] 8x8 transform intra:40.7% inter:24.0%
  
  [libx264 @ 0x19c0980] coded y,uvDC,uvAC intra: 29.6% 31.1% 29.7% inter: 6.0% 11.0% 3.9%
  
  [libx264 @ 0x19c0980] i16 v,h,dc,p: 56% 38%  5%  0%
  
  [libx264 @ 0x19c0980] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 44% 19% 31%  1%  1%  1%  1%  0%  1%
  
  [libx264 @ 0x19c0980] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 23% 20% 17%  5%  9%  7%  8%  5%  6%
  
  [libx264 @ 0x19c0980] i8c dc,h,v,p: 76% 12%  8%  4%
  
  [libx264 @ 0x19c0980] Weighted P-Frames: Y:0.0% UV:0.0%
  
  [libx264 @ 0x19c0980] ref P L0: 57.4% 13.9% 18.1% 10.7%
  
  [libx264 @ 0x19c0980] ref B L0: 78.3% 18.6%  3.1%
  
  [libx264 @ 0x19c0980] ref B L1: 93.4%  6.6%
  
  [libx264 @ 0x19c0980] kb/s:5136.93