If the camera has a good compression mechanism (e.g. MJPEG), it may be softer on the USB bus.

In our board, we are using OpenCV but we don't capture images with the OpenCV instruction. Instead, we use something like this:

https://linuxtv.org/downloads/v4l-dvb-apis/v4l2grab-example.html

For video capturing there is also an example:

https://linuxtv.org/downloads/v4l-dvb-apis/capture-example.html

Note that OpenCV uses v4l underneath.

On 25/05/2016 16:51, Tinashe Mudavanhu wrote:
Silva,

There has to be way. Dereck Molloy
https://www.youtube.com/watch?v=8QouvYMfmQo was able to get a video
stream then its possible to video stream with BBB. I don't have much
time to look for another development board because the Project is due
next week.

On Wed, May 25, 2016 at 5:48 PM, Tinashe Mudavanhu <[email protected]
<mailto:[email protected]>> wrote:

    Hi,

    The same is happening on the other webcam i have (not sure if its
    openCV changing resolution). I bought it on AliExpress and has the
    following discription; HD 1.3 megapixel 960p 2.8-12mm varifocal lens
    Aptina AR0130 android external usb camera module with IR cut
    ELP-USB130W01MT-FV
    
<http://www.aliexpress.com/item/HD-1-3-megapixel-2-8-12mm-varifocal-lens-android-external-usb-camera-module-with-IR/32295825258.html>.
    The supplier can be found on http://www.elpcctv.com.

    Since there are no errors, what could be the problem? Is there some
    dependencies i have to install?

    I tested with your framebrabber.c code and was getting this (see
    below) with the Logitech webcam,

    root@beaglebone:~# time ./framegrabber -f mjpeg -H 480 -W 640 -c
    1000 -I 30
    Startup took 0.010000 seconds
    Captured 1000 frames in 0.220000 seconds
    Shutdown took 0.000000 seconds


    real    0m42.068s
    user    0m0.025s
    sys    0m0.223s

    The no name webcam was giving the following results;
    root@beaglebone:~# time ./framegrabber -f mjpeg -H 480 -W 640 -c
    1000 -I 30
    Startup took 0.020000 seconds
    Captured 1000 frames in 0.260000 seconds
    Shutdown took 0.000000 seconds


    real    2m10.965s
    user    0m0.033s
    sys    0m0.262s
    root@beaglebone:~#



    On Wed, May 25, 2016 at 5:23 PM, Matthew Witherwax
    <[email protected] <mailto:[email protected]>> wrote:

        There are no actual errors in the output you posted.

        Do you have access to any other webcams?  I have tested this
        with the Logitech C920, the Logitech C270, and the PS3Eye.
        Without access to your webcam, it is hard for me to look into
        what is going on.


        On Wednesday, May 25, 2016 at 8:57:55 AM UTC-5, Tinashe
        Mudavanhu wrote:

            The timeout error resurfaced again, i followed you blog post
            on
            http://blog.lemoneerlabs.com/3rdParty/Darling_BBB_30fps_DRAFT.html
            but got the following errors in compiling libjpeg-turbo ;

            root@beaglebone:~/libjpeg-turbo-1.3.0/build# make
            make  all-recursive
            make[1]: Entering directory `/root/libjpeg-turbo-1.3.0/build'
            Making all in java
            make[2]: Entering directory
            `/root/libjpeg-turbo-1.3.0/build/java'
            make[2]: Nothing to be done for `all'.
            make[2]: Leaving directory
            `/root/libjpeg-turbo-1.3.0/build/java'
            Making all in simd
            make[2]: Entering directory
            `/root/libjpeg-turbo-1.3.0/build/simd'
            make  all-am
            make[3]: Entering directory
            `/root/libjpeg-turbo-1.3.0/build/simd'
            make[3]: Nothing to be done for `all-am'.
            make[3]: Leaving directory
            `/root/libjpeg-turbo-1.3.0/build/simd'
            make[2]: Leaving directory
            `/root/libjpeg-turbo-1.3.0/build/simd'
            Making all in md5
            make[2]: Entering directory
            `/root/libjpeg-turbo-1.3.0/build/md5'
            make[2]: Nothing to be done for `all'.
            make[2]: Leaving directory `/root/libjpeg-turbo-1.3.0/build/md5'
            make[2]: Entering directory `/root/libjpeg-turbo-1.3.0/build'
            make[2]: Leaving directory `/root/libjpeg-turbo-1.3.0/build'
            make[1]: Leaving directory `/root/libjpeg-turbo-1.3.0/build'
            root@beaglebone:~/libjpeg-turbo-1.3.0/build#


            Before compiling libjpeg-turbo i tested my code to see what
            will be happening on the resolution and frame rate. I am
            working with a Logitech QuickCam E3500 which has support for
            both YUVY and MJPEG. I set the resolution to 320x240 with a
            30fps frame rate but after running the code, got select
            timeout errors and the resolution had changed to 640x480
            YUVY with a 15fps frame rate;

            root@beaglebone:~/libjpeg-turbo-1.3.0/build# v4l2-ctl -V
            Format Video Capture:
                 Width/Height  : 640/480
                 Pixel Format  : 'YUYV'
                 Field         : None
                 Bytes per Line: 1280
                 Size Image    : 614400
                 Colorspace    : SRGB
            root@beaglebone:~/libjpeg-turbo-1.3.0/build#




            On Tue, May 24, 2016 at 1:22 AM, Tinashe Mudavanhu
            <[email protected]> wrote:

                Hi Matthew,

                I'm a rookie in this linux/opencv area i wouldn't really
                know what it means, only learning from you. I posted a
                question
                
https://groups.google.com/forum/#!category-topic/beagleboard/debian/VFuvveM_8Gc
                looking for a solution because it always happened when i
                plugged in the webcam on BBB. Running the command i
                previously mentioned ended my woes.

                On Tue, May 24, 2016 at 1:04 AM, Matthew Witherwax
                <[email protected]> wrote:

                    The issue causing the select time out detailed in my
                    article has to do with how much data is being sent
                    over the USB and how it is sent. Reducing the frame
                    rate reduces the load on the USB. Looking at the
                    articles you linked, one says it solved an issue but
                    not the select timeout, and the other shows an error
                    message that says it could not allocate memory.
                    Neither one of these are the cause of the select
                    timeout I addressed.

                    The select timeout occurs when the select times out.
                    Looks like in the cases in your links a previous
                    call to allocate memory failed followed by select
                    failing. I have never had an issue with memory
                    allocation. All my troubles had to do with too much
                    data on the USB. You might want to confirm what your
                    actual problem is.
                    
------------------------------------------------------------------------
                    From: Tinashe Mudavanhu
                    Sent: ‎5/‎23/‎2016 4:58 PM
                    To: [email protected]
                    Subject: Re: [beagleboard] Re: VGA camera capture

                    Hi Matthew,

                    I looked into the article as i went through your
                    discussion but did not try the framegrabber.c, will
                    test it though. I finally got a solution to the
                    problem from links listed below. It kind of made
                    sense to me (lack of memory in ARM systems) because
                    running the same code on my PC worked perfectly
                    well. Running this command `sysctl
                    vm.overcommit_memory=1` worked for me after a long
                    struggle. What i'm not really sure are the
                    implications (being it on Hardware or Software) if
                    there comes a state when large size memory is really
                    needed.


                       [1]:
                    
https://www.raspberrypi.org/forums/viewtopic.php?f=31&t=17773
                       [2]:
                    
https://tequals0.wordpress.com/2014/03/24/libv4l2-error-allocation-conversion-buffer-using-opencv-on-a-pi/

                    On Mon, May 23, 2016 at 10:25 PM, Matthew Witherwax
                    <[email protected]> wrote:

                        Hi Tinashe,

                        Please see my article here
                        http://blog.lemoneerlabs.com/post/BBB-webcams
                        There is a version of framegrabber.c linked to
                        it that allows you to specify the frame rate
                        with the command line parameter -I.  If reducing
                        the frame rate works for you, then the code for
                        framegrabber should provide a starting point for
                        accomplishing the same thing in your own program.

                        On Mon, May 23, 2016 at 2:43 PM, Tinashe
                        Mudavanhu <[email protected]> wrote:

                            Firstly i would like to say i came across
                            your discussion looking for select timeout
                            error solution but as i went through it i
                            didnt notice if you found a solution, but if
                            you have it now, i would appreciate it. The
                            select timeout error still seems to be in
                            existence even on BBB Rev C with kernel
                            3.8.13-bone79. I am working on an Iris
                            recognition system that initially has to
                            track eyes in a live video stream (from
                            there captures cropped eye images that will
                            be processed). I have installed different
                            OpenCV versions, 2.4.9, 2.4.11 and 3.0.0 and
                            in all of them i am getting the same error.
                            I am working with a Logitech, Inc. QuickCam
                            E 3500 webcam. I am accessing the BBB
                            Desktop using Tightvnc client on my PC
                            running Ubuntu 14.04 LTS.

                            What is surprising is that it is capable of
                            video streaming with opencv installed by
                            apt-get (apt-get install python-opencv) but
                            the limitation with this version is that it
                            has very old cv bindings and documentation
                            on some functions for Histogram equalisation
                            is not available online. I am stuck, i need
                            your help.

                            On Tuesday, 10 September 2013 16:50:46
                            UTC+2, Matthew Witherwax wrote:

                                Getting another BBB or raspberry pi
                                probably wont help, but a U2 from
                                HardKernel here
                                
http://www.hardkernel.com/renewal_2011/products/prdt_info.php?g_code=G135341370451
                                probably would.  You can use the BBB to
                                do all IO and use the processing power
                                of the U2 to handle compute intensive
                                tasks.  That is actually my end goal.
                                The cpu use I stated earlier was without
                                showing the image.  Displaying the image
                                will increase cpu use.

                                I am also working on a tracking
                                application with the webcam mounted on a
                                servo.  For my purposes, I do not need
                                to see the image on the BBB and can push
                                it over wifi to my laptop if I want to
                                view it.

                                As far as cv code, what are you looking
                                for?  I have posted a tool on my blog
                                here
                                http://blog.lemoneerlabs.com/post/shades-of-red
                                to help you find HSV values from images
                                to allow you to to find values to
                                threshold target colors.  I will post
                                another one on using HSV ranges to
                                threshold an image to isolate things
                                like a red colored ball.  I have been
                                implementing OpenCV code using python
                                right now for experimentation, but you
                                should be able to translate it to C++ or
                                your language of choice.

                                The command v4l2-ctl --list-formats-ext
                                will tell you the pixel formats and
                                resolutions supported by your camera.

                                Hope this helps,

                                Matthew Witherwax


                                On Tue, Sep 10, 2013 at 8:48 AM, James
                                Richins <[email protected]> wrote:

                                    Matthew,

                                    It does remind of something on Derek
                                    Molloy's site in that he adds coding
                                    to deal with the h264 codec for
                                    taking stills with opencv. I
                                    hesitated at the idea. Interestingly
                                    even using an additional bbb or
                                    raspberry pi might not even help.
                                    I'm looking at camera tracking
                                    objects/object recognition and servo
                                    control.
                                    I might find that by not displaying
                                    the video on the monitor, that the
                                    tracking and servo control can work
                                    less than 100% CPU.
                                    I have yet to implement the cv code
                                    for that, it's a real struggle to
                                    find good code. And not get errors.
                                    I have managed servo control through
                                    python and manual entering numbers
                                    so its ultimately possible.
                                    I'm not sure if my camera does
                                    anything other than yuyv. I'd be
                                    interested in connecting an Ethernet
                                    cam to the Ethernet port and read
                                    camera data from there, but you'd
                                    probably run into the same problem.
                                    Ethernet cam to pc processing cv
                                    code, wifi to beaglebone servo
                                    control might be good. But its
                                    probably a slow process and too
                                    complicated for me.

                                    Anyway good luck with your project.

                                    James

                                    On 10 Sep 2013, at 13:57, Matthew
                                    Witherwax <[email protected]> wrote:

                                    James,

                                    I have not done any cpu testing
                                    other than while saving single
                                    frames.  In MJPEG format,
                                    capturing a single frame at
                                    1920x1080 30 fps and saving it was
                                    taking about 6% cpu.  Doing the
                                    same in YUYV at a reduced
                                    resolution and converting to jpeg
                                    was taking about 70%.  I would not
                                    rush out to buy a h264 camera.
                                    First, I am not sure OpenCV
                                    decodes h264 streams.  Second, if
                                    it did, I am not sure you would
                                    see much improvement because of
                                    the need to decode the h264
                                    stream.  If the BBB does this in
                                    hardware is likely wont be bad,
                                    but if it is a software
                                    implementation we are just
                                    shifting the burden.  I am
                                    currently working through several
                                    tradeoffs.  YUYV should give the
                                    truest image free of compression
                                    artifacts, but will be larger and
                                    require more resources to capture
                                    and process.  MJPEG may suffer
                                    from compression artifacts, but
                                    images can be captured more
                                    quickly and at higher
                                    resolutions.  One has to decide
                                    what combination of frame rate,
                                    resolution, and fidelity are
                                    required.  I am currently working
                                    through the permutations to see
                                    what suits my application.

                                    An option I have open is to send
                                    the captured images over a wifi
                                    link to a computer that runs all
                                    the OpenCV code and pipes back the
                                    data I am after.  This leaves the
                                    BBB mostly free to do other work.
                                    I will update as I progress.

                                    Matthew Witherwax


                                    On Tue, Sep 10, 2013 at 7:35 AM,
                                    James Richins
                                    <[email protected]> wrote:



                                        Did you register anything on
                                        CPU usage. I know running
                                        moustache placing cv code it
                                        will run at 100% CPU on a
                                        standard webcam. Is pre
                                        processing less cpu intensive
                                        or will cv code always push
                                        the bb to the max?
                                        I didn't think I'd rush to buy
                                        a h264 hardware encoding cam
                                        if its the software and
                                        running at 320 is just as
                                        efficient as preencoded hd video.


                                        On 10 Sep 2013, at 13:16,
                                        Matthew Witherwax
                                        <[email protected]> wrote:

                                        João,

                                        1.  Glad to hear you are
                                        making progress.  My blog is
                                        at blog.lemoneerlabs.com
                                        <http://blog.lemoneerlabs.com>.
                                        Unfortunately I have yet to
                                        post my write up on the USB
                                        cameras, but I will get it
                                        done soon.  I can tell you
                                        with the Logitech C920 it is
                                        possible to capture 1920x1080
                                        frames with the FPS set to 30
                                        in both MJPEG and YUYV format.

                                        2.  v4l2grab sets the format
                                        to YUYV before grabbing the
                                        frames.  It then converts the
                                        captured frame to a jpeg and
                                        saves it.  I will post a
                                        version to my blog this week
                                        that uses MJPEG instead.
                                        Typical MJPEG implementations
                                        encode each video frame as a
                                        jpeg.  The code I wrote puts
                                        the webcam in MJPEG mode for
                                        capture and saves the
                                        returned frame.  In the case
                                        of the Logitech C920, the
                                        returned frame is a jpeg
                                        image.  It seems by going
                                        this route the camera
                                        actually creates the jpeg
                                        sparing the BBB from having
                                        to do it.  In addition, the
                                        jpeg is considerably smaller
                                        than the YUYV frame resulting
                                        in less load on the USB.  I
                                        would appreciate you testing
                                        the output when I post the
                                        code as it is entirely
                                        possible that not all cameras
                                        handle MJPG the same, and the
                                        result might not be a valid jpeg.

                                        3.  13.2 MB/s is the limit I
                                        was able to reach through
                                        testing.  You should note the
                                        webcam I tested with for that
                                        number only did bulk
                                        transfers which guarantee
                                        delivery.  It may be slightly
                                        higher for isochronous
                                        transfers as frames can (and
                                        seem to) get dropped.  I am
                                        not sure why that is the
                                        limit.  It maybe a hardware
                                        issue or a USB driver
                                        implementation issue.  During
                                        further testing on several
                                        laptops, the newer ones could
                                        reach a higher throughput
                                        even though all had a USB 2
                                        bus which would lead me to
                                        believe it is hardware
                                        related, but it is a question
                                        for the hardware guys.

                                        4.  I will post my code this
                                        week.  Please test it with
                                        your MJPEG capable cameras,
                                        and let me know the results.

                                        5.  The UVC implementation in
                                        Linux does not support still
                                        image capture.  This means
                                        tools like v4l2grab set the
                                        camera to record in a mode
                                        that uses no compression or
                                        intra-frame compression
                                        
(http://en.wikipedia.org/wiki/Intra-frame)
                                        and then grab frames from the
                                        stream.  This is why the
                                        format and frame rate affect
                                        the capture.  The stream has
                                        to be open and the data
                                        pulled before we can grab an
                                        image.

                                        6.  Possibly, see 3.

                                        7.  For my purposes, I have
                                        not tested plug-and-play so I
                                        cannot say much about it.


                                        On Mon, Sep 9, 2013 at 1:15
                                        PM, João M. S. Silva
                                        <[email protected]> wrote:

                                            Thanks Matthew, Don.

                                            Here is my follow up:

                                            1. Matthew, what is you
                                            blog address?

                                            2. I compiled v4l2grab
                                            and used the -I switch to
                                            adjust the fps. I found
                                            out that with the
                                            Logitech camera I can
                                            capture 640x480 at up to
                                            6 fps. With -I 7 or
                                            above, it hangs. With
                                            another cheap camera,
                                            even -I 1 hangs!

                                            3. Is 13.2 MB/s somehow
                                            BBB's limit? Why?

                                            4. My cheap cameras are
                                            YUYV capable and one of
                                            them is MJPEG capable.
                                            The Logitech is both YUYV
                                            and MJPEG capable.

                                            5. As I've read elsewhere
                                            UVC does not allow to get
                                            still images, so video
                                            performance issues affect
                                            still image capturing,
                                            right? is there a way to
                                            capture pure still images
                                            (bandwidth limitations
                                            should be irrelevant in
                                            that case)?

                                            6. Overall, this is an
                                            issue from the BBB,
                                            right? All of this works
                                            in my laptop and in BBXM.
                                            Is it a bug from the BBB
                                            USB implementation?

                                            7. I also found BBB's USB
                                            is not really
                                            plug-and-play. Sometimes
                                            devices don't get
                                            recognized and a reboot
                                            is needed.

                                            Thanks.

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