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• Extracting each individual frame from an H264 stream for real-time analysis with OpenCV

  5 mai 2017, par exclmtnpt

  Problem Outline

  I have an h264 real-time video stream (I’ll call this "the stream") being captured in Process1. My goal is to extract each frame from the stream as it comes through and use Process2 to analyze it with OpenCV. (Process1 is nodejs, Process2 is Python)

  Things I’ve tried, and their failure modes :

  • Send the stream directly from one Process1 to Process2 over a named fifo pipe :

  I succeeded in directing the stream from Process1 into the pipe. However, in Process2 (which is Python) I could not (a) extract individual frames from the stream, and (b) convert any extracted data from h264 into an OpenCV format (e.g. JPEG, numpy array).

  I had hoped to use OpenCV’s VideoCapture() method, but it does not allow you to pass a FIFO pipe as an input. I was able to use VideoCapture by saving the h264 stream to a .h264 file, and then passing that as the file path. This doesn’t help me, because I need to do my analysis in real time (i.e. I can’t save the stream to a file before reading it in to OpenCV).

  • Pipe the stream from Process1 to FFMPEG, use FFMPEG to change the stream format from h264 to MJPEG, then pipe the output to Process2 :

  I attempted this using the command :

  cat pipeFromProcess1.fifo | ffmpeg -i pipe:0 -f h264 -f mjpeg pipe:1 | cat > pipeToProcess2.fifo

  The biggest issue with this approach is that FFMPEG takes inputs from Process1 until Process1 is killed, and only then does Process2 begin to receive the data.

  Additionally, on the Process2 side, I still don’t understand how to extract individual frames from the data coming over the pipe. I open the pipe for reading (as "f") and then execute data = f.readline(). The size of data varies drastically (some reads have length on the order of 100, others length on the order of 1,000). When I use f.read() instead of f.readline(), the length is much larger, on the order of 100,000.

  If I were to know that I was getting the correct size chunk of data, I would still not know how to transform it into an OpenCV-compatible array because I don’t understand the format it’s coming over in. It’s a string, but when I print it out it looks like this :

  ��_M 0A0����tQ,\%��e���f/�H�#Y�p�f#�Kus�} F����ʳa�G������+$x�%V�� }[����Wo �1’̶A���c����*�&=Z^�o’��Ͽ� SX-ԁ涶V&H|��$
   ��<�E�� ��>�����u���7�����cR� �f�=�9 ��fs�q�ڄߧ�9v�]�Ӷ���& gr]�n�IRܜ�檯����
  � ����+ �I��w�}� ��9�o��� �w��M�m���IJ ��� �m�=�Soՙ}S �>j �,�ƙ�’���tad =i ��WY�FeC֓z �2�g� ;EXX��S��Ҁ*, ���w� _|�&�y��H��=��)� ���Ɗ3@ �h���Ѻ�Ɋ��ZzR`��)�y�� c�ڋ.��v� !u���� �S�I#�$9R�Ԯ0py z ��8 #��A�q�� �͕� ijc �bp=��۹ c SqH

  Converting from base64 doesn’t seem to help. I also tried :

  array = np.fromstring(data, dtype=np.uint8)

  which does convert to an array, but not one of a size that makes sense based on the 640x368x3 dimensions of the frames I’m trying to decode.

  • Using decoders such as Broadway.js to convert the h264 stream :

  These seem to be focused on streaming to a website, and I did not have success trying to re-purpose them for my goal.

  Clarification about what I’m NOT trying to do :

  I’ve found many related questions about streaming h264 video to a website. This is a solved problem, but none of the solutions help me extract individual frames and put them in an OpenCV-compatible format.

  Also, I need to use the extracted frames in real time on a continual basis. So saving each frame as a .jpg is not helpful.

  System Specs

  Raspberry Pi 3 running Raspian Jessie

  Additional Detail

  I’ve tried to generalize the problem I’m having in my question. If it’s useful to know, Process1 is using the node-bebop package to pull down the h264 stream (using drone.getVideoStream()) from a Parrot Bebop 2.0. I tried using the other video stream available through node-bebop (getMjpegStream()). This worked, but was not nearly real-time ; I was getting very intermittent data streams. I’ve entered that specific problem as an Issue in the node-bebop repository.

  Thanks for reading ; I really appreciate any help anyone can give !

• Absolute timestamp as MP4 start time

  14 juin 2016, par galbarm

  I’d like to store the exact start time a video was recorded on, inside its mp4 container.
  I need a millisecond accuracy (i.e. year,month,day,hour,sec,milli).
  Such an accuracy requires 8 bytes.

  The only standard way I found to store a video creation time is to use the mvhd/tkhd/mdhd boxes creation_time field.
  But according to the base media file format spec, the field only gives a granularity of seconds :

  creation_time is an integer that declares the creation time of this
  track (in seconds since midnight, Jan. 1, 1904, in UTC time)

  In version 0 the field size was 4 bytes, while in version 1 it was increased to 8 bytes. But the description remained unchanged so it can still only reflect a timestamp in up to second granularity. (for maintaining backward compatibility maybe ?)

  So finally, is there a standard way to store a single absolute timestamp with millisecond accuracy in a mp4 container ?
  If the only way to do it, is to store it as a custom metadata, is there an agreed common way to do it according to ?

• How to get accurate time information from ffmpeg audio outputs ?

  11 février 2016, par user2192778

  I want to figure out the best way to have accurate (down to millisecond) time information encoded into a web stream audio recording. So, if I wanted to know what was streaming at exactly 07:57:25 yesterday, I could retrieve that information using my program code. How can I do this in my ffmpeg function ?

  So far I have a python script that calls the following ffmpeg function every hour :

  ffmpeg -i http://webstreamurl.mp3 -t 01:30:00 outputname.mp3

  It will record 1.5 hours of my stream every hour. This leaves me with many 1.5 hour-long clips which together (due to some overlap) will give me audio at every moment.

  I don’t know how I will sync these clips with their stream times, however. Is there a way to put timestamps in the audio and have python read it ? Or is there a way to name these output files such that python could calculate the times itself ? Any other way ?