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• Analytics for the Internet of Things : collecting all your things’ data with Piwik to stay in control ?

  25 novembre 2015, par Matthieu Aubry — About

  At Piwik and Piwik PRO, our mission is to create the leading free and open source analytics platform, and supporting global organisations and communities to keep full control over their data.

  Our broad mission started 8 years ago and we focused at first helping people to liberate their website analytics data, then liberate their mobile app analytics data. But it is clear that there is much more than Web + Mobile : data is everywhere and a lot more data is being generated by software, people and their activities, robots, sensors…

  I’d like to share an interesting article which highlights one of the growing trends of technology : the rise of the Internet Of Things : 6 Ways Analytics And The Internet Of Things Will Transform Business.

  Here is an extract :

  The tech industry is no stranger to change, but the data derived from the IoT is taking disruption to a new level.

  At IBM’s Insight conference last month, Bob Picciano, senior vice president of IBM Analytics, talked about the rise of the “cognitive business”, or an enterprise that engages with analytics to improve its customer relations, business processes, and decision-making capabilities.

  There are dueling predictions over how ubiquitous the Internet of Things will be, but most indicate that the marketplace will host between 50 and 75 billion connected objects by 2020, signaling novel challenges for hardware manufacturing and development. Software engineers, likewise, may need to completely revamp programs to better exploit the influx of data, while innovators need to wrestle with the changes wrought by analytics.

  IBM’s Insight event unfolded in light of this wave of disruption. The lineup of corporate presenters converged on the same message : Analytics is for everyone, and your viability in the marketplace depends on it.

  […]

  IBM’s Insight 2015 conference sounded off on the most important trends in data usage and management. It also served a wake-up call for developers, engineers, and tech leaders. As the Internet of Things alters the landscape of analytics, hardware design needs to change, software development requires novel approaches, and tech management must become more agile in order to realize data’s greatest benefits.

  So far there are 1 million websites using Piwik… but what if there could be 10 or 50 million things (sensors, devices) being measured by Piwik ?

  Together we will be creating the best open source and generic analytics platform, that is engineered to last, and designed to help humanity keep control and gain Freedom.

  We aim for Piwik to be the ideal platform to measure the Internet Of Things.

  We’re still at the beginning of this journey and it will take the best of all of us to get there.

  See you on the way !

  PS : if you’d like to get involved with Piwik, we would be glad to welcome you !

• Analytics for the Internet of Things : collecting all your things’ data with Piwik to stay in control ?

  25 novembre 2015, par Matthieu Aubry — About

  At Piwik our mission is to create the leading free and open source analytics platform, and supporting global organisations and communities to keep full control over their data.

  Our broad mission started 8 years ago and we focused at first helping people to liberate their website analytics data, then liberate their mobile app analytics data. But it is clear that there is much more than Web + Mobile : data is everywhere and a lot more data is being generated by software, people and their activities, robots, sensors…

  I’d like to share an interesting article which highlights one of the growing trends of technology : the rise of the Internet Of Things : 6 Ways Analytics And The Internet Of Things Will Transform Business.

  Here is an extract :

  The tech industry is no stranger to change, but the data derived from the IoT is taking disruption to a new level.

  At IBM’s Insight conference last month, Bob Picciano, senior vice president of IBM Analytics, talked about the rise of the “cognitive business”, or an enterprise that engages with analytics to improve its customer relations, business processes, and decision-making capabilities.

  There are dueling predictions over how ubiquitous the Internet of Things will be, but most indicate that the marketplace will host between 50 and 75 billion connected objects by 2020, signaling novel challenges for hardware manufacturing and development. Software engineers, likewise, may need to completely revamp programs to better exploit the influx of data, while innovators need to wrestle with the changes wrought by analytics.

  IBM’s Insight event unfolded in light of this wave of disruption. The lineup of corporate presenters converged on the same message : Analytics is for everyone, and your viability in the marketplace depends on it.

  […]

  IBM’s Insight 2015 conference sounded off on the most important trends in data usage and management. It also served a wake-up call for developers, engineers, and tech leaders. As the Internet of Things alters the landscape of analytics, hardware design needs to change, software development requires novel approaches, and tech management must become more agile in order to realize data’s greatest benefits.

  So far there are 1 million websites using Piwik… but what if there could be 10 or 50 million things (sensors, devices) being measured by Piwik ?

  Together we will be creating the best open source and generic analytics platform, that is engineered to last, and designed to help humanity keep control and gain Freedom.

  We aim for Piwik to be the ideal platform to measure the Internet Of Things.

  We’re still at the beginning of this journey and it will take the best of all of us to get there.

  See you on the way !

  PS : if you’d like to get involved with Piwik, we would be glad to welcome you !

• Processing a single frame of audio and image in FFmpeg

  21 juillet 2015, par James F

  Currently we have an implementation of FFmpeg which is triggered from an ActionScript 3 (AS3) application, via CrossBridge (formerly Flascc). In this implementation, we write the entire audio track into the CModule’s memory, using malloc from the AS3 application. Once written, the application starts to process each of the image frames we would like to combine with our audio. This process begins by the AS3 application calling the CModule’s write_frame public method.

  C :
  int write_frame(struct Session *s, uint8_t *buffer, int bufferSize){}

  AS3 :
  var ret:int = writeFrame(_sessionPtr, _pixelBytesPtr, _pixelBytes.length);

  Once the video output has been created, it is retrieved from the CModule to AS3 as a byte array.

  With this implementation, a long duration video or audio track - the application runs out of memory (there’s a memory limit within our CrossBridge sandbox environment). The largest portion of this memory is currently our audio track, as it’s uncompressed PCM data (raw float values).

  Ideally, we would like to write a single audio frame and video frame together, with the AS3 application writing the 1 x audio frame byte array to the CModule’s memory. I have attempted to do this, by allocating the memory requirement for a single frame of audio using malloc, and then overwriting this memory, each time write_frame is called. However, this results in the video file containing a single frame of audio at the start of the video, and no other audio.

  I’m convinced that the audio frame is being constructed correctly, but I believe this approach is conflicting with some of the code within our Muxing.c file. It’s a little different to FFmpeg’s example file (https://ffmpeg.org/doxygen/trunk/muxing_8c-source.html), as this file has been modified by several people. Here’s the methods calls from within write_frame :

  fill_audio_buffer(s->audio_input, s->audio_input_length, s->audio_input_index, s->audio_input_frame_size * 2, s->audio_frame_buffer);

  retval = av_samples_alloc(converted_buffer, NULL, 2, out_samples, audio_st->codec->sample_fmt, 0);

  out_samples = swr_convert(s->audio_swr_context, converted_buffer, out_samples (void *) &s->audio_frame_buffer, in_samples);

  retval = write_audio_frame(s, s->oc, s->audio_st, s->audio_input_frame_size (uint16_t *) converted_buffer[0]);

  s->audio_input_index += s->audio_input_frame_size * 2;

  Is it possible to move to procedural muxing of 1 x frame of audio and 1 x frame of image approach ? Even if it’s slightly slower - it’ll mean we’re not hold the entire audio track in memory. Any suggestions to the required approach would be great, thanks in advance !

  @VC. One - The PCM data is made outside of FFmpeg and then written to the memory that FFmpeg has access to. (using malloc, and then the pointer to this address is sent to the FFmpeg).

  The FFmpeg output file can either be a .WMV file, or .AVi file - the codecs WMV2 and DIVX are used in each case. I have made some modifications since posting the original question, but you’re correct in thinking that the first chunk was being used and then the last frame size increased, meaning the next read of the buffer would yield nothing as it exceeded the buffer.

  I’ve now made some progress by resetting the index audio_input_index back to ’0’ at the start of each write_frame call. However, i’ll need to check whether this is the correct approach, as between each audio frame (1 second at 1fps), there is a slight blip/audio pop noise. In addition to this - the last few frames of audio seem to overlap, causing some of the audio to be repeated. Is it safe practice with C/FFmpeg to recycle a buffer in this way ? It seems that the length of each audio frame changes - at AS3 level my current calculation of the audio frame byte length is (44,100 kHz sample rate * 8) / Frames per second. It’s * 8 as it’s two channel, and each float value is 4 bytes.

  Thanks again for your help