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  • Keeping control of your media in your hands

    13 avril 2011, par

    The vocabulary used on this site and around MediaSPIP in general, aims to avoid reference to Web 2.0 and the companies that profit from media-sharing.
    While using MediaSPIP, you are invited to avoid using words like "Brand", "Cloud" and "Market".
    MediaSPIP is designed to facilitate the sharing of creative media online, while allowing authors to retain complete control of their work.
    MediaSPIP aims to be accessible to as many people as possible and development is based on expanding the (...)

  • Submit bugs and patches

    13 avril 2011

    Unfortunately a software is never perfect.
    If you think you have found a bug, report it using our ticket system. Please to help us to fix it by providing the following information : the browser you are using, including the exact version as precise an explanation as possible of the problem if possible, the steps taken resulting in the problem a link to the site / page in question
    If you think you have solved the bug, fill in a ticket and attach to it a corrective patch.
    You may also (...)

  • Encoding and processing into web-friendly formats

    13 avril 2011, par

    MediaSPIP automatically converts uploaded files to internet-compatible formats.
    Video files are encoded in MP4, Ogv and WebM (supported by HTML5) and MP4 (supported by Flash).
    Audio files are encoded in MP3 and Ogg (supported by HTML5) and MP3 (supported by Flash).
    Where possible, text is analyzed in order to retrieve the data needed for search engine detection, and then exported as a series of image files.
    All uploaded files are stored online in their original format, so you can (...)

Sur d’autres sites (5603)

  • 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;

  • Using ffmpeg with frei0r on windows 10. Can't find module from frei0r

    21 février 2023, par Denis

    I am trying to add a filter to my video using ffmpeg and frei0r filters on windows 10. ffmpeg.exe is located in the system32 folder. ffmpeg works fine on other tasks. As soon as I try to add the frei0r filter, I get an error :

    &#xA;

    Could not find module &#x27;glow&#x27;.&#xA;Error initializing filter &#x27;frei0r&#x27; with args &#x27;glow:20&#x27;&#xA;

    &#xA;

    I downloaded the frei0r dll files from the official site and placed them in the system32 folder, and then placed them in another folder. Additionally, I registered the path :

    &#xA;

    set FREI0R_PATH=C:\WINDOWS\system32\frei0r-1&#xA;

    &#xA;

    In cmd I enter the following command :

    &#xA;

    ffmpeg -loglevel debug -i 1.mp4 -vf "frei0r=glow:20" -t 10 1out.mp4&#xA;

    &#xA;

    help me

    &#xA;

    I tried everything I saw online and nothing helped.

    &#xA;

  • how to write subcommand to FFPLAY during playback using subprocess module ?

    4 mars 2023, par ChienMouille

    I'm trying to pause a video playback started with FFPLAY through a python subprocess. You can do this manually by pressing the "p" key on the keyboard while the video is playing. I'd like to emulate this behavior through a python call.

    &#xA;

    I'm now sending a "p" string, encoded as bytes, through the stdin of the Popen call. The video starts and I can pause it with the keyboard but the communicate command doesn't seem to do anything.

    &#xA;

    import subprocess&#xA;import time&#xA;&#xA;proc = subprocess.Popen([&#x27;ffplay&#x27;, &#x27;PATH_TO_&#x27;],&#xA;                        stdin=subprocess.PIPE,&#xA;                        stdout=subprocess.PIPE,&#xA;                        )&#xA;time.sleep(2) # just waiting to make sure playback has started&#xA;proc.communicate(input="p".encode())[0]&#xA;&#xA;

    &#xA;

    Thanks in advance !

    &#xA;