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    13 septembre 2013

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  • Menus personnalisés

    14 novembre 2010, par

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    31 janvier 2010, par

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    Version mono serveur
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Sur d’autres sites (4144)

  • FFMPEG, "Could not open file.. " "av_interleaved_write_frame() : Input/output error"

    10 juillet 2018, par justaguytrynabuildawebsite

    Trying to run a simple ffmpeg line on my Ubuntu 16.04 vps shell,

    ffmpeg -ss 1 -i /var/www/html/lib/vid/4581989_022810100718.mp4 -r 1 -vframes 1 /var/www/html/lib/thumbnail/4581989_022810100718/20.jpg

    but am met with

    Could not open file

    and

    av_interleaved_write_frame(): Input/output error

    I have already tried giving the ../lib/vid folder in question 777 permissions but it didnt help.

    Full print-out :

    ffmpeg version 2.8.14-0ubuntu0.16.04.1 Copyright (c) 2000-2018 the FFmpeg developers
    built with gcc 5.4.0 (Ubuntu 5.4.0-6ubuntu1~16.04.9) 20160609
    configuration: --prefix=/usr --extra-version=0ubuntu0.16.04.1 --build-suffix=-ffmpeg --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --cc=cc --cxx=g++ --enable-gpl --enable-shared --disable-stripping --disable-decoder=libopenjpeg --disable-decoder=libschroedinger --enable-avresample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libmodplug --enable-libmp3lame --enable-libopenjpeg --enable-libopus --enable-libpulse --enable-librtmp --enable-libschroedinger --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxvid --enable-libzvbi --enable-openal --enable-opengl --enable-x11grab --enable-libdc1394 --enable-libiec61883 --enable-libzmq --enable-frei0r --enable-libx264 --enable-libopencv
    libavutil      54. 31.100 / 54. 31.100
    libavcodec     56. 60.100 / 56. 60.100
    libavformat    56. 40.101 / 56. 40.101
    libavdevice    56.  4.100 / 56.  4.100
    libavfilter     5. 40.101 /  5. 40.101
    libavresample   2.  1.  0 /  2.  1.  0
    libswscale      3.  1.101 /  3.  1.101
    libswresample   1.  2.101 /  1.  2.101
    libpostproc    53.  3.100 / 53.  3.100
    Input #0, mov,mp4,m4a,3gp,3g2,mj2, from '/var/www/html/lib/vid/4581989_022810100718.mp4':
    Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf56.36.100
    Duration: 00:00:04.90, start: 0.000000, bitrate: 2595 kb/s
    Stream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p, 1820x1024 [SAR 1:1 DAR 455:256], 2593 kb/s, 30 fps, 30 tbr, 15360 tbn, 60 tbc (default)
    Metadata:
     handler_name    : VideoHandler
    [swscaler @ 0x1652280] deprecated pixel format used, make sure you did set range correctly
    Output #0, image2, to '/var/www/html/lib/thumbnail/4581989_022810100718/20.jpg':
    Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf56.40.101
    Stream #0:0(und): Video: mjpeg, yuvj420p(pc), 1820x1024 [SAR 1:1 DAR 455:256], q=2-31, 200 kb/s, 1 fps, 1 tbn, 1 tbc (default)
    Metadata:
     handler_name    : VideoHandler
     encoder         : Lavc56.60.100 mjpeg
    Stream mapping:
    Stream #0:0 -> #0:0 (h264 (native) -> mjpeg (native))
    Press [q] to stop, [?] for help
    [image2 @ 0x16103a0] Could not open file : /var/www/html/lib/thumbnail/4581989_022810100718/20.jpg
    av_interleaved_write_frame(): Input/output error
    frame=    1 fps=0.0 q=3.4 Lsize=N/A time=00:00:01.00 bitrate=N/A    
    video:48kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: unknown
    Conversion failed!
  • Developers and vendors : Want a Matomo Hoodie ? Add a tag to the Matomo Open Source Tag Manager and this could be yours !

    7 juin 2018, par Matomo Core Team — Community, Development

    The Free Open Source Tag Manager is now available as a public beta on the Matomo Marketplace. Don’t know what a Tag Manager is ? Learn more here. In Short : It lets you easily manage all your third party JavaScript and HTML snippets (analytics, ads, social media, remarketing, affiliates, etc) through a single interface.

    Over the last few months we have worked on building the core for the Matomo Tag Manager which comes with a great set of features and a large set of pre-configured triggers and variables. However, we currently lack tags.

    This is where we need your help ! Together we can build a complete and industry leading open source tag manager.

    Tag examples include Google AdWords Conversion Tracking, Facebook Buttons, Facebook Pixels, Twitter Universal Website Tags, LinkedIn Insights.

    Are you a developer who is familiar with JavaScript and keen on adding a tag ? Or are you a vendor ? Don’t be shy, we appreciate any tags, even analytics related :) We have documented how to develop a new tag here, which is quite easy and straightforward. You may also need to understand a tiny bit of PHP but you’ll likely be fine even if you don’t (here is an example PHP file and the related JS file).

    As we want to ship the Matomo Tag Manager with as many tags as possible out of the box, we appreciate any new tag additions as a pull request on https://github.com/matomo-org/tag-manager.

    We will send out “Matomo Contributor” stickers that cannot be purchased anywhere for every contributor who contributes a tag within the next 3 months. As for the top 3 contributors… you’ll receive a Matomo hoodie ! Simply send us an email at hello@matomo.org after your tag has been merged. If needed, a draw will decide who gets the hoodies.

    FYI : The Matomo Tag Manager is already prepared to be handled in different contexts and we may possibly generate containers for Android and iOS. If you are keen on building the official Matomo SDKs for any of these mobile platforms, please get in touch.

  • Open CV Codec FFMPEG Error fallback to use tag 0x7634706d/'mp4v'

    22 mai 2019, par Cohen

    Doing a filter recording and all is fine. The code is running, but at the end the video is not saved as MP4. I have this error :

    OpenCV: FFMPEG: tag 0x44495658/'XVID' is not supported with codec id 12 and format 'mp4 / MP4 (MPEG-4 Part 14)'
    OpenCV: FFMPEG: fallback to use tag 0x7634706d/'mp4v'

    Using a MAC and the code is running correctly, but is not saving. I tried to find more details about this error, but wasn’t so fortunate. I use as editor Sublime. The code run on Atom tough but is giving this error :

    OpenCV: FFMPEG: tag 0x44495658/'XVID' is not supported with codec id 12 and format 'mp4 / MP4 (MPEG-4 Part 14)'
    OpenCV: FFMPEG: fallback to use tag 0x7634706d/'mp4v'
    2018-05-28 15:04:25.274 Python[17483:2224774] AVF: AVAssetWriter status: Cannot create file

    ....

    import numpy as np
    import cv2
    import random
    from utils import CFEVideoConf, image_resize
    import glob
    import math


    cap = cv2.VideoCapture(0)

    frames_per_seconds = 24
    save_path='saved-media/filter.mp4'
    config = CFEVideoConf(cap, filepath=save_path, res='360p')
    out = cv2.VideoWriter(save_path, config.video_type, frames_per_seconds, config.dims)


    def verify_alpha_channel(frame):
       try:
           frame.shape[3] # looking for the alpha channel
       except IndexError:
           frame = cv2.cvtColor(frame, cv2.COLOR_BGR2BGRA)
       return frame


    def apply_hue_saturation(frame, alpha, beta):
       hsv_image = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
       h, s, v = cv2.split(hsv_image)
       s.fill(199)
       v.fill(255)
       hsv_image = cv2.merge([h, s, v])

       out = cv2.cvtColor(hsv_image, cv2.COLOR_HSV2BGR)
       frame = verify_alpha_channel(frame)
       out = verify_alpha_channel(out)
       cv2.addWeighted(out, 0.25, frame, 1.0, .23, frame)
       return frame


    def apply_color_overlay(frame, intensity=0.5, blue=0, green=0, red=0):
       frame = verify_alpha_channel(frame)
       frame_h, frame_w, frame_c = frame.shape
       sepia_bgra = (blue, green, red, 1)
       overlay = np.full((frame_h, frame_w, 4), sepia_bgra, dtype='uint8')
       cv2.addWeighted(overlay, intensity, frame, 1.0, 0, frame)
       return frame


    def apply_sepia(frame, intensity=0.5):
       frame = verify_alpha_channel(frame)
       frame_h, frame_w, frame_c = frame.shape
       sepia_bgra = (20, 66, 112, 1)
       overlay = np.full((frame_h, frame_w, 4), sepia_bgra, dtype='uint8')
       cv2.addWeighted(overlay, intensity, frame, 1.0, 0, frame)
       return frame


    def alpha_blend(frame_1, frame_2, mask):
       alpha = mask/255.0
       blended = cv2.convertScaleAbs(frame_1*(1-alpha) + frame_2*alpha)
       return blended


    def apply_circle_focus_blur(frame, intensity=0.2):
       frame = verify_alpha_channel(frame)
       frame_h, frame_w, frame_c = frame.shape
       y = int(frame_h/2)
       x = int(frame_w/2)

       mask = np.zeros((frame_h, frame_w, 4), dtype='uint8')
       cv2.circle(mask, (x, y), int(y/2), (255,255,255), -1, cv2.LINE_AA)
       mask = cv2.GaussianBlur(mask, (21,21),11 )

       blured = cv2.GaussianBlur(frame, (21,21), 11)
       blended = alpha_blend(frame, blured, 255-mask)
       frame = cv2.cvtColor(blended, cv2.COLOR_BGRA2BGR)
       return frame


    def portrait_mode(frame):
       cv2.imshow('frame', frame)
       gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
       _, mask = cv2.threshold(gray, 120,255,cv2.THRESH_BINARY)

       mask = cv2.cvtColor(mask, cv2.COLOR_GRAY2BGRA)
       blured = cv2.GaussianBlur(frame, (21,21), 11)
       blended = alpha_blend(frame, blured, mask)
       frame = cv2.cvtColor(blended, cv2.COLOR_BGRA2BGR)
       return frame


    def apply_invert(frame):
       return cv2.bitwise_not(frame)

    while(True):
       # Capture frame-by-frame
       ret, frame = cap.read()
       frame = cv2.cvtColor(frame, cv2.COLOR_BGR2BGRA)
       #cv2.imshow('frame',frame)


       hue_sat = apply_hue_saturation(frame.copy(), alpha=3, beta=3)
       cv2.imshow('hue_sat', hue_sat)

       sepia = apply_sepia(frame.copy(), intensity=.8)
       cv2.imshow('sepia',sepia)

       color_overlay = apply_color_overlay(frame.copy(), intensity=.8, red=123, green=231)
       cv2.imshow('color_overlay',color_overlay)

       invert = apply_invert(frame.copy())
       cv2.imshow('invert', invert)

       blur_mask = apply_circle_focus_blur(frame.copy())
       cv2.imshow('blur_mask', blur_mask)

       portrait = portrait_mode(frame.copy())
       cv2.imshow('portrait',portrait)

       if cv2.waitKey(20) & 0xFF == ord('q'):
           break

    # When everything done, release the capture
    cap.release()
    cv2.destroyAllWindows()