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• Convert video with paperclip and ffmpeg in Ruby on Rails

  16 juin 2014, par Atu

  I want to convert my uploaded video with ffmpeg, but I had few error. I use paperclip and ffmpeg but nothing happen. The structure of my application is one post has_many videos.

  this my video model :

  belongs_to :event
  
  validates_attachment_presence :source
  
  has_attached_file :source
  
  
  
  after_create :convert_in_flv, :set_new_filename
  
  
  
  def convert_in_flv
  
    flv = File.join(File.dirname(source.path), "#{id}.flv")
  
    system("ffmpeg -i #{source.path} -ar 22050 -ab 32 -s 480x360 -vcodec flv -r 25 -qscale 8 -f flv -y #{flv}")
  
  end
  
  
  
  def set_new_filename
  
    update_attribute(:source_file_name, "#{id}.flv")
  
  end

  and this my video controller

  def create
  
    @event = Event.find(params[:event_id])
  
    @video = @event.videos.create(params[:video])
  
    redirect_to event_path(@event)
  
  end 
  
  
  
  def destroy
  
    @event = Event.find(params[:event_id])
  
    @video = @event.videos.find(params[:id])
  
    @video.destroy
  
    redirect_to event_path(@event)
  
  end

  The video is successful upload but not converted. You had any solution ?

• EC2 for video-encoding

  24 septembre 2012, par TK Kocheran

  I have a potential job which will require me to do some video encoding with FFMPEG and x264. I'll have a series of files which I'll need to encode once, then I'll be able to bring down the instances. Since I'm not really sure of the resource utilization of x264 and FFMPEG, what kind of instances should I get ? I'm thinking either a

  High-CPU Extra Large Instance

  7 GB of memory
  20 EC2 Compute Units (8 virtual cores with 2.5 EC2 Compute Units each)
  1690 GB of instance storage
  64-bit platform
  I/O Performance : High
  API name : c1.xlarge

  or, alternatively a

  Cluster GPU Quadruple Extra Large Instance

  22 GB of memory
  33.5 EC2 Compute Units (2 x Intel Xeon X5570, quad-core “Nehalem” architecture)
  2 x NVIDIA Tesla “Fermi” M2050 GPUs
  1690 GB of instance storage
  64-bit platform
  I/O Performance : Very High (10 Gigabit Ethernet)
  API name : cg1.4xlarge

  What should I use ? Does x264/FFMPEG perform better with faster/more CPUs or does it really pound the GPU more ? In any case, it seems that the Cluster GPU seems to be the higher performance instance. What should I prefer ?

• EC2 for video-encoding

  24 septembre 2012, par TK Kocheran

  I have a potential job which will require me to do some video encoding with FFMPEG and x264. I'll have a series of files which I'll need to encode once, then I'll be able to bring down the instances. Since I'm not really sure of the resource utilization of x264 and FFMPEG, what kind of instances should I get ? I'm thinking either a

  High-CPU Extra Large Instance

  7 GB of memory
  20 EC2 Compute Units (8 virtual cores with 2.5 EC2 Compute Units each)
  1690 GB of instance storage
  64-bit platform
  I/O Performance : High
  API name : c1.xlarge

  or, alternatively a

  Cluster GPU Quadruple Extra Large Instance

  22 GB of memory
  33.5 EC2 Compute Units (2 x Intel Xeon X5570, quad-core “Nehalem” architecture)
  2 x NVIDIA Tesla “Fermi” M2050 GPUs
  1690 GB of instance storage
  64-bit platform
  I/O Performance : Very High (10 Gigabit Ethernet)
  API name : cg1.4xlarge

  What should I use ? Does x264/FFMPEG perform better with faster/more CPUs or does it really pound the GPU more ? In any case, it seems that the Cluster GPU seems to be the higher performance instance. What should I prefer ?