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• error while compiling simple c++ file with libavformat library

  21 février 2023, par Abdo Daood

  i create simple c++ file called test.cpp

  


  #include <iostream>&#xA;#include &#xA;using namespace std;&#xA;&#xA;int main() &#xA;{&#xA;    cout &lt;&lt; "Hello, World!";&#xA;    return 0;&#xA;}&#xA;&#xA;</iostream>

  


  and using g++ in terminal to compile test.cpp file with the command :

  


  


  g++ test.cpp -o test

  


  


  i get this error =>

  


  test.cpp:2:10: fatal error: libavformat\avformat.h: No such file or directory
    2 | #include 
      |          ^~~~~~~~~~~~~~~~~~~~~~~~
compilation terminated.


  


  Notes :
libavformat\avformat.h path is : /usr/include/x86_64-linux-gnu/libavformat/avformat.h

  


  and using ffmpeg version is :

  


  $ ffmpeg -version

  


  ffmpeg version 4.4.2-0ubuntu0.22.04.1 Copyright (c) 2000-2021 the FFmpeg developers
built with gcc 11 (Ubuntu 11.2.0-19ubuntu1)
configuration : —prefix=/usr —extra-version=0ubuntu0.22.04.1 —toolchain=hardened —libdir=/usr/lib/x86_64-linux-gnu —incdir=/usr/include/x86_64-linux-gnu —arch=amd64 —enable-gpl —disable-stripping —enable-gnutls —enable-ladspa —enable-libaom —enable-libass —enable-libbluray —enable-libbs2b —enable-libcaca —enable-libcdio —enable-libcodec2 —enable-libdav1d —enable-libflite —enable-libfontconfig —enable-libfreetype —enable-libfribidi —enable-libgme —enable-libgsm —enable-libjack —enable-libmp3lame —enable-libmysofa —enable-libopenjpeg —enable-libopenmpt —enable-libopus —enable-libpulse —enable-librabbitmq —enable-librubberband —enable-libshine —enable-libsnappy —enable-libsoxr —enable-libspeex —enable-libsrt —enable-libssh —enable-libtheora —enable-libtwolame —enable-libvidstab —enable-libvorbis —enable-libvpx —enable-libwebp —enable-libx265 —enable-libxml2 —enable-libxvid —enable-libzimg —enable-libzmq —enable-libzvbi —enable-lv2 —enable-omx —enable-openal —enable-opencl —enable-opengl —enable-sdl2 —enable-pocketsphinx —enable-librsvg —enable-libmfx —enable-libdc1394 —enable-libdrm —enable-libiec61883 —enable-chromaprint —enable-frei0r —enable-libx264 —enable-shared
libavutil 56. 70.100 / 56. 70.100
libavcodec 58.134.100 / 58.134.100
libavformat 58. 76.100 / 58. 76.100
libavdevice 58. 13.100 / 58. 13.100
libavfilter 7.110.100 / 7.110.100
libswscale 5. 9.100 / 5. 9.100
libswresample 3. 9.100 / 3. 9.100
libpostproc 55. 9.100 / 55. 9.100

  


  using this command :

  


  g++ `pkg-config --cflags libavformat` test.cpp  `pkg-config --libs libavformat` -o test



  


• FFMPEG Issue : Video breaks a lot hence the real time video gets distorted and gets a little delayed while streaming on a webpage from drone

  26 mars 2022, par ashiyaa nunhuck

  ****I am trying to detect a face from my drone camera in real time.The video streams successfully but it is delayed and breaks a lot. Is there any solution to this problem ? How can i have a smooth video streaming with little delay and no video breaking in order to succeed in detecting a face ? Your help will be much appreciated.
Also, this is printed while my code is running: :

  


  


  INFO:werkzeug:127.0.0.1 - - [27/May/2021 15:16:14] "GET
/video/streaming HTTP/1.1" 200 -
INFO:drone_face_recognition_and_tracking.controllers.server :'action' :
'command', 'cmd' : 'takeOff'
INFO:drone_face_recognition_and_tracking.models.manage_drone :'action' :
'send_command', 'command' : 'takeoff' [h264 @ 0x55aa924a2e40] error
while decoding MB 45 38, bytestream -6 [h264 @ 0x55aa924a2e40]
concealing 424 DC, 424 AC, 424 MV errors in I frame [h264 @
0x55aa922a9a00] concealing 687 DC, 687 AC, 687 MV errors in P frame
[h264 @ 0x55aa923f79c0] left block unavailable for requested intra
mode [h264 @ 0x55aa923f79c0] error while decoding MB 0 34, bytestream
1347 [h264 @ 0x55aa923f79c0] concealing 709 DC, 709 AC, 709 MV errors
in P frame INFO:werkzeug:127.0.0.1 - - [27/May/2021 15:16:17] "POST
/api/command/ HTTP/1.1" 200 - pipe:0 : corrupt decoded frame in stream
0
Last message repeated 2 times [h264 @ 0x55aa922a9a00] error while decoding MB 49 30, bytestream -6 [h264 @ 0x55aa922a9a00] concealing
900 DC, 900 AC, 900 MV errors in P frame pipe:0 : corrupt decoded frame
in stream 0
INFO:drone_face_recognition_and_tracking.models.manage_drone :'action' :
'receive_response', 'response' : b'ok'
INFO:drone_face_recognition_and_tracking.controllers.server :'action' :
'command', 'cmd' : 'faceDetectAndTrack' INFO:werkzeug:127.0.0.1 - -
[27/May/2021 15:16:21] "POST /api/command/ HTTP/1.1" 200 - [h264 @
0x55aa924a2e40] left block unavailable for requested intra4x4 mode -1
[h264 @ 0x55aa924a2e40] error while decoding MB 0 30, bytestream 1624
[h264 @ 0x55aa924a2e40] concealing 949 DC, 949 AC, 949 MV errors in I
frame pipe:0 : corrupt decoded frame in stream 0 [h264 @
0x55aa9244d400] left block unavailable for requested intra mode [h264
@ 0x55aa9244d400] error while decoding MB 0 12, bytestream 2936 [h264
@ 0x55aa9244d400] concealing 2029 DC, 2029 AC, 2029 MV errors in I
frame pipe:0 : corrupt decoded frame in stream 0 [h264 @
0x55aa924bf700] concealing 1632 DC, 1632 AC, 1632 MV errors in P frame
pipe:0 : corrupt decoded frame in stream 0 [h264 @ 0x55aa92414280]
concealing 1571 DC, 1571 AC, 1571 MV errors in P frame

  


  


  Here is my code :****

  


  import logging
import contextlib
import os
import socket
import subprocess
import threading
import time
import cv2 as cv
import numpy as np

from drone_face_recognition_and_tracking.models.base import Singleton

logger = logging.getLogger(__name__)

DEFAULT_DISTANCE = 0.30
DEFAULT_SPEED = 10
DEFAULT_DEGREE = 10

FRAME_X = int(320)  # try 640
FRAME_Y = int(240)  # try 480
FRAME_AREA = FRAME_X * FRAME_Y

FRAME_SIZE = FRAME_AREA * 3
FRAME_CENTER_X = FRAME_X / 2
FRAME_CENTER_Y = FRAME_Y / 2

CMD_FFMPEG = (f'ffmpeg -probesize 32 -hwaccel auto -hwaccel_device opencl -i pipe:0 '
              f'-pix_fmt bgr24 -s {FRAME_X}x{FRAME_Y} -f rawvideo pipe:1')

FACE_DETECT_XML_FILE = './drone_face_recognition_and_tracking/models/haarcascade_frontalface_default.xml'


def receive_video(stop_event, pipe_in, host_ip, video_port):
    with socket.socket(socket.AF_INET, socket.SOCK_DGRAM) as sock_video:
        sock_video.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
        sock_video.settimeout(.5)
        sock_video.bind((host_ip, video_port))
        data = bytearray(2048)
        while not stop_event.is_set():
            try:
                size, addr = sock_video.recvfrom_into(data)
                # logger.info({'action': 'receive_video', 'data': data})
            except socket.timeout as ex:
                logger.warning({'action': 'receive_video', 'ex': ex})
                time.sleep(0.5)
                continue
            except socket.error as ex:
                logger.error({'action': 'receive_video', 'ex': ex})
                break

            try:
                pipe_in.write(data[:size])
                pipe_in.flush()
            except Exception as ex:
                logger.error({'action': 'receive_video', 'ex': ex})
                break


class Tello_Drone(metaclass=Singleton):
    def __init__(self, host_ip='192.168.10.2', host_port=8889,
                 drone_ip='192.168.10.1', drone_port=8889,
                 is_imperial=False, speed=DEFAULT_SPEED):
        self.host_ip = host_ip
        self.host_port = host_port
        self.drone_ip = drone_ip
        self.drone_port = drone_port
        self.drone_address = (drone_ip, drone_port)
        self.is_imperial = is_imperial
        self.speed = speed
        self.socket = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
        self.socket.bind((self.host_ip, self.host_port))

        self.response = None
        self.stop_event = threading.Event()
        self._response_thread = threading.Thread(target=self.receive_response, args=(self.stop_event, ))
        self._response_thread.start()

        self.proc = subprocess.Popen(CMD_FFMPEG.split(' '),
                                     stdin=subprocess.PIPE,
                                     stdout=subprocess.PIPE)
        self.proc_stdin = self.proc.stdin
        self.proc_stdout = self.proc.stdout

        self.video_port = 11111

        self._receive_video_thread = threading.Thread(
            target=receive_video,
            args=(self.stop_event, self.proc_stdin,
                  self.host_ip, self.video_port,))
        self._receive_video_thread.start()

        self.face_cascade = cv.CascadeClassifier(FACE_DETECT_XML_FILE)
        self._is_enable_face_detect = False

        self.send_command('command')
        self.send_command('streamon')
        self.set_speed(self.speed)

    def receive_response(self, stop_event):
        while not stop_event.is_set():
            try:
                self.response, ip = self.socket.recvfrom(3000)
                logger.info({'action': 'receive_response',
                             'response': self.response})
            except socket.error as ex:
                logger.error({'action': 'receive_response',
                             'ex': ex})
                break

    def __dell__(self):
        self.stop()

    def stop(self):
        self.stop_event.set()
        retry = 0
        while self._response_thread.is_alive():
            time.sleep(0.3)
            if retry > 30:
                break
            retry += 1
        self.socket.close()
        os.kill(self.proc.pid, 9)

    def send_command(self, command):
        logger.info({'action': 'send_command', 'command': command})
        self.socket.sendto(command.encode('utf-8'), self.drone_address)

        retry = 0
        while self.response is None:
            time.sleep(0.3)
            if retry > 3:
                break
            retry += 1

        if self.response is None:
            response = None
        else:
            response = self.response.decode('utf-8')
        self.response = None
        return response

    def takeoff(self):
        return self.send_command('takeoff')

    def land(self):
        return self.send_command('land')

    def move(self, direction, distance):
        distance = float(distance)
        if self.is_imperial:
            distance = int(round(distance * 30.48))
        else:
            distance = int(round(distance * 100))
        return self.send_command(f'{direction} {distance}')

    def up(self, distance=DEFAULT_DISTANCE):
        return self.move('up', distance)

    def down(self, distance=DEFAULT_DISTANCE):
        return self.move('down', distance)

    def left(self, distance=DEFAULT_DISTANCE):
        return self.move('left', distance)

    def right(self, distance=DEFAULT_DISTANCE):
        return self.move('right', distance)

    def forward(self, distance=DEFAULT_DISTANCE):
        return self.move('forward', distance)

    def back(self, distance=DEFAULT_DISTANCE):
        return self.move('back', distance)

    def set_speed(self, speed):
        return self.send_command(f'speed {speed}')

    def clockwise(self, degree=DEFAULT_DEGREE):
        return self.send_command(f'cw {degree}')

    def counter_clockwise(self, degree=DEFAULT_DEGREE):
        return self.send_command(f'ccw {degree}')

    def video_binary_generator(self):
        while True:
            try:
                frame = self.proc_stdout.read(FRAME_SIZE)
            except Exception as ex:
                logger.error({'action': 'video_binary_generator', 'ex': ex})
                continue

            if not frame:
                continue

            frame = np.fromstring(frame, np.uint8).reshape(FRAME_Y, FRAME_X, 3)
            yield frame

    def enable_face_detect(self):
        self._is_enable_face_detect = True

    def disable_face_detect(self):
        self._is_enable_face_detect = False

    def video_jpeg_generator(self):
        for frame in self.video_binary_generator():
            if self._is_enable_face_detect:
                gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)
                faces = self.face_cascade.detectMultiScale(gray, 1.2, 4)
                for (x, y, w, h) in faces:
                    cv.rectangle(frame, (x, y), (x+w, y+h), (0, 0, 255), 2)
                    break

            _, jpeg = cv.imencode('.jpg', frame)
            jpeg_binary = jpeg.tobytes()
            yield jpeg_binary


  


• FFmpeg gdigrab failed to capture image

  1er février 2023, par Marek Spišiak

  Hi I am trying to capture desktop with ffmpeg gdigrab. I am using SSH connection to remotely use admin cmd on windows 10 pc. When i execute this command normally it works but remotely it doesnt.

  


  ffmpeg -f gdigrab -framerate 30 -i desktop output.mkv

  


  error message

  


  ffmpeg version 4.4-essentials_build-www.gyan.dev Copyright (c) 2000-2021 the FFmpeg developers
  built with gcc 10.2.0 (Rev6, Built by MSYS2 project)
  configuration: --enable-gpl --enable-version3 --enable-static --disable-w32threads --disable-autodetect --enable-fontconfig --enable-iconv --enable-gnutls --enable-libxml2 --enable-gmp --enable-lzma --enable-zlib --enable-libsrt --enable-libssh --enable-libzmq --enable-avisynth --enable-sdl2 --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxvid --enable-libaom --enable-libopenjpeg --enable-libvpx --enable-libass --enable-libfreetype --enable-libfribidi --enable-libvidstab --enable-libvmaf --enable-libzimg --enable-amf --enable-cuda-llvm --enable-cuvid --enable-ffnvcodec --enable-nvdec --enable-nvenc --enable-d3d11va --enable-dxva2 --enable-libmfx --enable-libgme --enable-libopenmpt --enable-libopencore-amrwb --enable-libmp3lame --enable-libtheora --enable-libvo-amrwbenc --enable-libgsm --enable-libopencore-amrnb --enable-libopus --enable-libspeex --enable-libvorbis --enable-librubberband
  libavutil      56. 70.100 / 56. 70.100
  libavcodec     58.134.100 / 58.134.100
  libavformat    58. 76.100 / 58. 76.100
  libavdevice    58. 13.100 / 58. 13.100
  libavfilter     7.110.100 /  7.110.100
  libswscale      5.  9.100 /  5.  9.100
  libswresample   3.  9.100 /  3.  9.100
  libpostproc    55.  9.100 / 55.  9.100
[gdigrab @ 000001f3e781e600] Capturing whole desktop as 1024x768x32 at (0,0)
[gdigrab @ 000001f3e781e600] Failed to capture image (error 5)
[gdigrab @ 000001f3e781e600] Could not find codec parameters for stream 0 (Video: bmp, none, 754987 kb/s): unspecified size
Consider increasing the value for the 'analyzeduration' (15000000) and 'probesize' (70000000) options
Input #0, gdigrab, from 'desktop':
  Duration: N/A, bitrate: 754987 kb/s
  Stream #0:0: Video: bmp, none, 754987 kb/s, 30 fps, 1000k tbr, 1000k tbn, 1000k tbc
Output #0, matroska, to 'pipe:':
Output file #0 does not contain any stream


  


  I tried to increase analyzeduration and probesize to max integer but it doesnt help.