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• Piwik now integrated within CloudFlare

  8 novembre 2017, par Piwik Core Team — Development

  Would you like to know some quick fix in order to make your website load faster ? Would you like your users to have a better experience on your website ? One answer to that is what we call a CDN. Content Delivery Network (CDN) is a system of distributed servers that deliver content to a user based on various criterias such as geolocation.

  And the good news for you is that Piwik got recently integrated to a popular CDN : CloudFlare.

  What is CloudFlare ?

  As previously said, CloudFlare is a content delivery network (CDN).

  

  The three major advantages of using CloudFlare as a CDN are :

  • it is making your website load faster by providing a nearby location to your files to users
  • it also help detecting potential attacks like DDoS and takes away these risks for you
  • it runs one of the largest, fastest, and most reliable managed DNS service in the world

  Automatically add Piwik tracking code to your website

  With the integration of Piwik to CloudFlare, you can now deploy the Piwik tracking code directly through your CloudFlare account instead of tweaking the source code of your website.

  In order to do that, all you need is to log in to your CloudFlare account and click on “Apps”. Then look for Piwik within the search bar :

  

  Once done, click on “Preview” on your site to enter your credentials (Piwik URL and website ID) :

  

  Click “install” to finish the setup. The Piwik tracking code is now installed on each page of your website.

  If you have previously added the tracking code manually to your website and now use the Piwik app, don’t forget to remove the tracking code from your website. Otherwise you end up tracking every user twice.

  Important note : the Piwik CloudFlare integration only concerns the Piwik tracking code integration. For the Piwik app on Cloudflare to work you will need to have a running Piwik installed on your server, or you can start a free trial on the Piwik Analytics Cloud.

  To learn more about what Piwik integration to CloudFlare can do for you.

• Decoding the h.264 stream from a COM port

  18 mars, par Peter

  I would like to know if there is a reliable way to decode an H.264 NAL stream coming through a serial port using software.

  


  So far, I have managed to decode a single frame using a python script. In this script, I first write the incoming data to a file, and when the end-of-frame marker 00_00_00_01 appears, I display the frame using ffplay.

  


  import serial
import subprocess
import os
import time

ser = serial.Serial('COM3', 115200, timeout=1)
output_file = "output.264"

# Variable to store the ffplay process
ffplay_process = None

# Open the file for writing in binary mode
with open(output_file, "wb") as file:

    print("Writing bytes to output.264. Waiting for the end-of-frame marker 0x00000001.")

    buffer = bytearray()
    marker = b'\x00\x00\x00\x01'

    try:
        while True:
            if ser.in_waiting:  # If there is data in the buffer
                data = ser.read(ser.in_waiting)  # Read all available bytes
                buffer.extend(data)

                # Check if the end-of-frame marker is in the buffer
                while marker in buffer:
                    index = buffer.index(marker) + len(marker)  # Position after the marker
                    frame = buffer[:index]  # Extract the frame
                    buffer = buffer[index:]  # Keep the remaining data

                    print(f"Frame recorded: {len(frame)} bytes")
                    file.write(frame)  # Write the frame to the file
                    file.flush()  # Force writing to disk

                    # Close the ffplay window if it is already open
                    if ffplay_process and ffplay_process.poll() is None:
                        ffplay_process.terminate()
                        ffplay_process.wait()  # Wait for the process to terminate

                    # Play the recorded frame, reopening the window
                    ffplay_process = subprocess.Popen(["ffplay", "-f", "h264", "-i", output_file])

    except KeyboardInterrupt:
        print("\nRecording stopped.")
    finally:
        # Close the serial port and the ffplay process
        ser.close()


  


  However, each time a new end-of-frame marker is detected, the ffplay window closes and reopens to show the next frame. It will flicker when transferring the video. Is there a way to display the frames in the same window for seamless playback when streaming video ?

  


  Or is there a better approach or software that is more suited for this task ? I do not know where to start, so I will be glad for any hints.

  


• When rTorrent finishes, run FFmpeg and convert audio track in mkv to ac-3 5.1

  11 septembre 2021, par miniHessel

  What is the best approach for this ? I saw the following answer, is that still a valid approach ? If so, how do you execute that when a torrent finishes ? I mostly want to convert dts-hd either 5.1 or 7.1. Sometimes also Atmos.