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Autres articles (21)

  • Websites made ​​with MediaSPIP

    2 mai 2011, par

    This page lists some websites based on MediaSPIP.

  • Creating farms of unique websites

    13 avril 2011, par

    MediaSPIP platforms can be installed as a farm, with a single "core" hosted on a dedicated server and used by multiple websites.
    This allows (among other things) : implementation costs to be shared between several different projects / individuals rapid deployment of multiple unique sites creation of groups of like-minded sites, making it possible to browse media in a more controlled and selective environment than the major "open" (...)

  • Other interesting software

    13 avril 2011, par

    We don’t claim to be the only ones doing what we do ... and especially not to assert claims to be the best either ... What we do, we just try to do it well and getting better ...
    The following list represents softwares that tend to be more or less as MediaSPIP or that MediaSPIP tries more or less to do the same, whatever ...
    We don’t know them, we didn’t try them, but you can take a peek.
    Videopress
    Website : http://videopress.com/
    License : GNU/GPL v2
    Source code : (...)

Sur d’autres sites (4992)

  • Extract thumbnail from video in amazon s3 and store it in amazon s3 [closed]

    24 juin 2021, par Kanav Raina

    I want to extract thumbnail from video and store it on s3.

    


    import ffmpeg

url="https://link_to_s3_video.mp4"

(
    ffmpeg
    .input(url, ss='00:00:03')  
    .output("frame.png", pix_fmt='rgb24', frames='1')  
    .overwrite_output()
    .run()
)


    


    I am able to extract image but now how should I pass this image to file_upload function and store it on s3

    


    def file_upload(file, filename):
    link = f"https://{PUBLIC_BUCKET_NAME}.s3.us-east-2.amazonaws.com/images/{filename}"
    try:
        s3.Object(PUBLIC_BUCKET_NAME, f"images/{filename}").load()
    except ClientError as e:
        if e.response['Error']['Code'] == "404":
            try:
                s3_client.upload_fileobj(
                    file,
                    PUBLIC_BUCKET_NAME,
                    f"images/{filename}",
                    ExtraArgs={'ACL': 'public-read'}
                )

                return 200, link
            except ClientError as e:
                logging.error(e)
                return 500, ""
        else:
            return 500, ""
    else:
        return 409, link


    


    Thanks

    


  • Amazon S3 : how to combine all images into a video ?

    9 septembre 2021, par scientiffic

    I'm in my Rails app, I enable users to upload images, which get processed using ffmpeg to create a video slideshow.

    



    I have this working locally, but am wondering how to do this when deploying the app using Heroku. In particular, I know Heroku has limited storage and has a read-only filesystem, so using Carrierwave without S3 or an external storage option doesn't seem like an option.

    



    But how would I run a task like the following using S3, where I combine all images into a video ?

    



    The ffmpeg command is

    



    ffmpeg -r 5 -i https://s3.amazonaws.com/[]/uploads/image/image_file/26/img%03d.jpg output.mp4 -y


    



    And the AWS "folder" contains the following :
https://s3.amazonaws.com/[]/uploads/image/image_file/26/img001.jpg
https://s3.amazonaws.com/[]/uploads/image/image_file/26/img002.jpg
https://s3.amazonaws.com/[]/uploads/image/image_file/26/img003.jpg

    



    When I try to do the following, I get an error with ffmpeg not knowing what to do with :

    



    https://s3.amazonaws.com/[]/uploads/image/image_file/26/img%03d.jpg


    



    Note, this whole video compilation process works fine for me locally, so I know in theory it should work.

    


  • install ffmpeg on amazon ecr linux python

    27 mai 2024, par Luka Savic

    I'm trying to install ffmpeg on docker for amazon lambda function.
Code for Dockerfile is :

    


    FROM public.ecr.aws/lambda/python:3.8

# Copy function code
COPY app.py ${LAMBDA_TASK_ROOT}

# Install the function's dependencies using file requirements.txt
# from your project folder.

COPY requirements.txt  .
RUN  yum install gcc -y
RUN  pip3 install -r requirements.txt --target "${LAMBDA_TASK_ROOT}"
RUN  yum install -y ffmpeg

# Set the CMD to your handler (could also be done as a parameter override outside of the Dockerfile)
CMD [ "app.handler" ]


    


    I am getting an error :

    


     > [6/6] RUN  yum install -y ffmpeg:
#9 0.538 Loaded plugins: ovl
#9 1.814 No package ffmpeg available.
#9 1.843 Error: Nothing to do


    


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