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  • Problèmes fréquents

    10 mars 2010, par

    PHP et safe_mode activé
    Une des principales sources de problèmes relève de la configuration de PHP et notamment de l’activation du safe_mode
    La solution consiterait à soit désactiver le safe_mode soit placer le script dans un répertoire accessible par apache pour le site

  • Gestion générale des documents

    13 mai 2011, par

    MédiaSPIP ne modifie jamais le document original mis en ligne.
    Pour chaque document mis en ligne il effectue deux opérations successives : la création d’une version supplémentaire qui peut être facilement consultée en ligne tout en laissant l’original téléchargeable dans le cas où le document original ne peut être lu dans un navigateur Internet ; la récupération des métadonnées du document original pour illustrer textuellement le fichier ;
    Les tableaux ci-dessous expliquent ce que peut faire MédiaSPIP (...)

  • Websites made ​​with MediaSPIP

    2 mai 2011, par

    This page lists some websites based on MediaSPIP.

Sur d’autres sites (6304)

  • How to do text alignment on box in ffmpeg ?

    28 juin 2022, par Dinesh Reddy

    Drawbox with drawtext

    


    ffmpeg -y -i skate.mp4 -filter_complex "drawbox=x=645.7538994800693:y=449.2201039861352:w=700:h=169:color=red@1:t=fill,drawtext=enable='between(t,0,3)':fontfile='344c235b-9bf7-4b13-ad99-ab230b473577.ttf':text='Hello world':fontsize=150:line_spacing=3:x=645.7538994800693:y=449.2201039861352:fontcolor=#000000:borderw=0:bordercolor=#ffffff,rotate=a=0*PI/180:ow=rotw(0*PI/180):oh=roth(0*PI/180):c=black@0"  output.mp4

    


    I draw the box using drawbox filter and written the text also but i need to do text alignment in the box like center, right and left. Can you help in this anyone.

    


    Thanks in advance

    


  • TypeError : expected str, bytes or os.PathLike object, not module when trying to sream openCv frames to rtmp server

    30 novembre 2022, par seriously

    I am using openCv and face-recognition api to detect a face using a webcam then compare it with a previously taken image to check and see if the people on both images are the same and the openCv and face-recognition part of the code works properly now what I am trying to achieve is to stream the openCv processed video frames to an rtmp server so for this I am trying to use ffmpeg and running the command using subprocess but when I run the code I get error TypeError: expected str, bytes or os.PathLike object, not module. But I am writing the frames as bytes to stdin hence p.stdin.write(frame.tobytes()). How can I fix it and properly stream my openCv frames to an rtmp server using ffmpeg. Thanks in advance.

    


    Traceback (most recent call last):&#xA;  File "C:\Users\blah\blah\test.py", line 52, in <module>&#xA;    p = subprocess.Popen(command, stdin=subprocess.PIPE, shell=False)&#xA;  File "C:\Python310\lib\subprocess.py", line 969, in __init__&#xA;    self._execute_child(args, executable, preexec_fn, close_fds,&#xA;  File "C:\Python310\lib\subprocess.py", line 1378, in _execute_child&#xA;    args = list2cmdline(args)&#xA;  File "C:\Python310\lib\subprocess.py", line 561, in list2cmdline&#xA;    for arg in map(os.fsdecode, seq):&#xA;  File "C:\Python310\lib\os.py", line 822, in fsdecode&#xA;    filename = fspath(filename)  # Does type-checking of `filename`.&#xA;TypeError: expected str, bytes or os.PathLike object, not module&#xA;</module>

    &#xA;

    import cv2&#xA;import numpy as np&#xA;import face_recognition&#xA;import os&#xA;import subprocess&#xA;import ffmpeg&#xA;&#xA;path = &#x27;../attendance_imgs&#x27;&#xA;imgs = []&#xA;classNames = []&#xA;myList = os.listdir(path)&#xA;&#xA;for cls in myList:&#xA;    curruntImg = cv2.imread(f&#x27;{path}/{cls}&#x27;)&#xA;    imgs.append(curruntImg)&#xA;    classNames.append(os.path.splitext(cls)[0])&#xA;&#xA;def findEncodings(imgs):&#xA;    encodeList = []&#xA;    for img in imgs:&#xA;        img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)&#xA;        encode = face_recognition.face_encodings(img)[0]&#xA;        encodeList.append(encode)&#xA;    return encodeList&#xA;&#xA;encodeListKnown = findEncodings(imgs)&#xA;print(&#x27;Encoding Complete&#x27;)&#xA;&#xA;cap = cv2.VideoCapture(0)&#xA;&#xA;rtmp_url = "rtmp://127.0.0.1:1935/stream/webcam"&#xA;&#xA;fps = int(cap.get(cv2.CAP_PROP_FPS))&#xA;width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))&#xA;height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))&#xA;&#xA;# command and params for ffmpeg&#xA;command = [ffmpeg,&#xA;           &#x27;-y&#x27;,&#xA;           &#x27;-f&#x27;, &#x27;rawvideo&#x27;,&#xA;           &#x27;-vcodec&#x27;, &#x27;rawvideo&#x27;,&#xA;           &#x27;-pix_fmt&#x27;, &#x27;bgr24&#x27;,&#xA;           &#x27;-s&#x27;, "{}x{}".format(width, height),&#xA;           &#x27;-r&#x27;, str(fps),&#xA;           &#x27;-i&#x27;, &#x27;-&#x27;,&#xA;           &#x27;-c:v&#x27;, &#x27;libx264&#x27;,&#xA;           &#x27;-pix_fmt&#x27;, &#x27;yuv420p&#x27;,&#xA;           &#x27;-preset&#x27;, &#x27;ultrafast&#x27;,&#xA;           &#x27;-f&#x27;, &#x27;flv&#x27;,&#xA;           &#x27;rtmp://127.0.0.1:1935/stream/webcam&#x27;]&#xA;&#xA;p = subprocess.Popen(command, stdin=subprocess.PIPE, shell=False)&#xA;&#xA;&#xA;while True:&#xA;    ret, frame, success, img = cap.read()&#xA;    if not ret:&#xA;        print("frame read failed")&#xA;        break&#xA;    imgSmall = cv2.resize(img, (0,0), None, 0.25, 0.25)&#xA;    imgSmall = cv2.cvtColor(imgSmall, cv2.COLOR_BGR2RGB)&#xA;&#xA;    currentFrameFaces = face_recognition.face_locations(imgSmall)&#xA;    currentFrameEncodings = face_recognition.face_encodings(imgSmall, currentFrameFaces)&#xA;&#xA;    for encodeFace, faceLocation in zip(currentFrameEncodings, currentFrameFaces):&#xA;        matches = face_recognition.compare_faces(encodeListKnown, encodeFace)&#xA;        faceDistance = face_recognition.face_distance(encodeListKnown, encodeFace)&#xA;        matchIndex = np.argmin(faceDistance)&#xA;&#xA;        if matches[matchIndex]:&#xA;            name = classNames[matchIndex].upper()&#xA;            y1, x2, y2, x1 = faceLocation&#xA;            y1, x2, y2, x1 = y1 * 4, x2 * 4, y2 * 4, x1 * 4 &#xA;            cv2.rectangle(img, (x1, y1), (x2, y2), (0, 255, 0), 2)&#xA;            cv2.rectangle(img, (x1, y2 - 35), (x2, y2), (0, 255, 0), cv2.FILLED)&#xA;            cv2.putText(img, name, (x1 &#x2B; 6, y2 - 6), cv2.FONT_HERSHEY_DUPLEX, 1, (255, 255, 255), 2) &#xA;&#xA;    # write to pipe&#xA;    p.stdin.write(frame.tobytes())&#xA;

    &#xA;

  • FFMPEG MP3 file size much larger than expected on Windows 10

    8 avril 2018, par The Gora

    I’ve been using FFMPEG on Windows to :

    1. Convert iTunes M4A files to MP3s (with a bit rate of 128k) ; and
    2. Create 30 sec sample MP3s of the above MP3s (same bit rate).

    When I run FFMEG on a Windows 7 64 bit machine, the size of the MP3s (both for 1. & 2.) is in line with the rough calculation of :

    (Audio length in seconds) X (Bit rate)

    For example, a 4 minute audio yields an approx. 3.7MB MP3 file ; a 30 second sample MP3 is approx. 470KB.

    However when I run the same FFMPEG binary (copied from the Windows 7 machine) on a Windows 10 64 bit machine, all of the MP3s (both for 1. and for 2.) are inflated by approx 5MB. I’m using the same batch file on both machines to execute FFMEG with the required parameters, so pretty confident the difference is not down to user error.

    My questions are :

    1. Why is there this apparent 5MB overhead on Windows 10 ? and more importantly ;
    2. What can I do to remove this ?

    The large file size is a problem as the sample MP3s are to be put on a website for people to listen to a snippet of the song, and the webpage with multiple tags takes a long time to load completely (several minutes).

    Here is the version and lib info :

    ffmpeg version 3.4.1 Copyright (c) 2000-2017 the FFmpeg developers
     built with gcc 7.2.0 (GCC)
     configuration: --enable-gpl --enable-version3 --enable-sdl2 --enable-bzlib --enable-fontconfig --enable-gnutls --enable-iconv --enable-libass --enable-libbluray --enable-libfreetype --enable-libmp3lame --enable-libopenjpeg --enable-libopus --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libtheora --enable-libtwolame --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libzimg --enable-lzma --enable-zlib --enable-gmp --enable-libvidstab --enable-libvorbis --enable-cuda --enable-cuvid --enable-d3d11va --enable-nvenc --enable-dxva2 --enable-avisynth --enable-libmfx
     libavutil      55. 78.100 / 55. 78.100
     libavcodec     57.107.100 / 57.107.100
     libavformat    57. 83.100 / 57. 83.100
     libavdevice    57. 10.100 / 57. 10.100
     libavfilter     6.107.100 /  6.107.100
     libswscale      4.  8.100 /  4.  8.100
     libswresample   2.  9.100 /  2.  9.100
     libpostproc    54.  7.100 / 54.  7.100

    And here are the command lines I’m using :

    1. ffmpeg -i input.m4a -id3v2_version 3 -b:a 128k -output.mp3
    2. ffmpeg -i input.m4a -ss 30 -t 30 -af "afade=in:st=30:d=5,afade=out:st=55:d=5" -id3v2_version 3 -b:a 128k -output.mp3