Stick to 4.14. Provide me the output of: cd /var/lib/cloud9;git status;git show | head -1
On Mon, Oct 28, 2019 at 5:19 AM <[email protected]> wrote: > I get the same error as well. Updated everything and rebooted a couple of > times. > > On Wednesday, October 23, 2019 at 11:37:39 PM UTC-5, jonnymo wrote: >> >> I've pulled in the changes but now I get the following error when >> attempting to run the TIDL example from the Cloud9 IDE. >> NOTE: I've updated to the 4.19 kernel, so I am not sure if that is >> causing the issue: >> >> *Command: BeagleBone/AI/tidl/classification.tidl.cpp* >> *Python: python3* >> *Python path: >> /usr/lib/python3.7/dist-packages:/usr/local/lib/python3.7/dist-packages* >> */var/lib/cloud9/common/Makefile:27: >> MODEL=BeagleBoard.org_BeagleBone_AI,TARGET=classification.tidl,COMMON=/var/lib/cloud9/common* >> */var/lib/cloud9/common/Makefile:145: >> GEN_DIR=/tmp/cloud9-examples,CHIP=am57xx,PROC=tidl,PRUN=,PRU_DIR=,EXE=.so* >> *ti-mct-heap-check -c* >> *sudo mjpg_streamer -i "input_opencv.so -r 640x480 --filter >> ./classification.tidl.so <http://classification.tidl.so>" -o >> "output_http.so -p 8080 -w /usr/share/mjpg-streamer/www"* >> *[sudo] password for debian:* >> *MJPG Streamer Version.: 2.0* >> * i: device........... : default* >> * i: Desired Resolution: 640 x 480* >> * i: filter........... : ./classification.tidl.so >> <http://classification.tidl.so>* >> * i: filter args ..... :* >> *Initializing filter* >> *loading configuration* >> *allocating execution object pipelines (EOP)* >> *CMEM Error: init: major version mismatch between interface and driver.* >> *CMEM Error: needs driver version 0x4150002, got 0x4160000* >> *TIOCL FATAL: The cmemk kernel module is not installed. Consult the >> OpenCL UserGuide at >> http://software-dl.ti.com/mctools/esd/docs/opencl/index.html >> <http://software-dl.ti.com/mctools/esd/docs/opencl/index.html>* >> */var/lib/cloud9/common/Makefile:167: recipe for target 'start' failed* >> *make: *** [start] Error 1* >> >> >> >> Cheers, >> >> Jon >> >> >> On Wed, Oct 23, 2019 at 9:32 AM jonnymo <[email protected]> wrote: >> >>> Jason, >>> >>> I appreciate the update. I'll update the code on me BB AI and run the >>> exercise again. >>> >>> Now to get the blinkLED.py and JavaScript examples working. >>> >>> I'm looking forward for the Tensorflow Lite support, so I'll keep and >>> eye on that. >>> >>> Thanks for the work you do on this. >>> >>> Cheers, >>> >>> Jon >>> >>> On Wed, Oct 23, 2019 at 8:20 AM Jason Kridner <[email protected]> wrote: >>> >>>> Sorry about that. I broke the example. I've updated it and it should >>>> work now. >>>> >>>> >>>> https://github.com/beagleboard/cloud9-examples/commit/210388017fcb233c2f422d54af293bb8d5c94bc2 >>>> >>>> I was visiting the TI office and talking to the developers about the >>>> performance of this example. According to profiles, >>>> it should run up to 60fps. I attempted to make some changes to speed it >>>> up, but I did it wrong. >>>> >>>> You can group different layers in the network to run on different >>>> processors. For this classifier network, it is said to >>>> be fastest to run the first 11 stages on EVEs as fixed-point processes >>>> and then run the last 3 layers as floating-point >>>> processes on the C66 DSPs. And, because we'd only be running 3 layers >>>> on the DSPs, we only need a single DSP. >>>> >>>> Anyway, I didn't assign the layers properly and I still need to look at >>>> the code a bit more to set them properly. >>>> >>>> For now, I've just switched back to running on all 14 layers on 4 EVEs. >>>> The 30fps data from the camera seems to >>>> be reasonably processed with this configuration. >>>> >>>> I picked up a Logitech C922 that is capable of doing 60fps and I'll be >>>> looking to update the demo to run that way soon >>>> and finishing up the segmentation demo. >>>> >>>> Checking the commit-log is a nice way to check-up on me, even if my >>>> comments aren't the best. >>>> >>>> The errors are mostly due to the fact that I'm learning as well. I'm >>>> trying to get the TI developers to use my methodology >>>> of single-file mjpg-streamer filters rather then OpenCV desktop apps as >>>> I feel those the desktop apps are overly complex >>>> and don't represent an embedded developer's use-case. They are pretty >>>> reasonably documented, >>>> but, as you can see, it is taking me some time to understand them. Some >>>> additional debug visibility needs to be added >>>> to my approach and I'll be chatting to the TI developers about that >>>> some in my call later today about this stuff. >>>> >>>> Development work is on-going for Tensorflow Lite support. All should be >>>> much easier once that lands. >>>> >>>> And, yes, I keep talking about TI as if I don't work there, and I do >>>> work there, but my working with open source >>>> developers all day keeps me from adopting certain development processes >>>> other TI developers take as granted. >>>> I don't install Code Composer Studio. I don't setup an Open Embedded >>>> build environment. I don't cross-compile. >>>> I don't setup JTAG. I hope you get the idea. >>>> >>>> >>>> On Wednesday, October 23, 2019 at 12:46:26 AM UTC-4, Jon Morss wrote: >>>>> >>>>> >>>>> Yeah, I always find it suspect when am example is posted and demo'd >>>>> but does not seem to work for others. >>>>> >>>>> Headbanging continues. >>>>> >>>>> Jon >>>>> >>>>> On Tuesday, October 22, 2019 at 4:03:38 PM UTC-7, Dobrin Alexiev wrote: >>>>>> >>>>>> In my case I also see often ping-pong_ball, or more often >>>>>> "segmentation fault". >>>>>> I wonder how can I debug this? >>>>>> >>>>>> >>>>>> On Sunday, October 20, 2019 at 2:11:54 AM UTC-4, Jon Morss wrote: >>>>>>> >>>>>>> I am attempting to run the TIDL example with a Beaglebone AI and the >>>>>>> only thing it seems to report identifying is a ping-pong, although I am >>>>>>> not >>>>>>> presenting a ping pong to the camera. I am using a Logitech C920 camera >>>>>>> and have performed all of the updates to the system, so am not sure >>>>>>> what I >>>>>>> am missing. >>>>>>> >>>>>>> This is what I see when running the classification.tidl.cpp example: >>>>>>> >>>>>>> sudo mjpg_streamer -i "input_opencv.so -r 640x480 --filter ./ >>>>>>> classification.tidl.so" -o "output_http.so -p 8080 -w >>>>>>> /usr/share/mjpg-streamer/www" >>>>>>> [sudo] password for debian: >>>>>>> MJPG Streamer Version.: 2.0 >>>>>>> i: device........... : default >>>>>>> i: Desired Resolution: 640 x 480 >>>>>>> i: filter........... : ./classification.tidl.so >>>>>>> i: filter args ..... : >>>>>>> Initializing filter >>>>>>> loading configuration >>>>>>> allocating execution object pipelines (EOP) >>>>>>> allocating executors >>>>>>> allocating individual EOPs >>>>>>> allocating I/O memory for each EOP >>>>>>> Allocating input and output buffers >>>>>>> Allocating input and output buffers >>>>>>> Allocating input and output buffers >>>>>>> Allocating input and output buffers >>>>>>> num_eops=4 >>>>>>> About to start ProcessFrame loop!! >>>>>>> http://localhost:8080/?action=stream >>>>>>> o: www-folder-path......: /usr/share/mjpg-streamer/www/ >>>>>>> o: HTTP TCP port........: 8080 >>>>>>> o: HTTP Listen Address..: (null) >>>>>>> o: username:password....: disabled >>>>>>> o: commands.............: enabled >>>>>>> (722)=ping-pong_ball >>>>>>> (722)=ping-pong_ball >>>>>>> (722)=ping-pong_ball >>>>>>> (722)=ping-pong_ball >>>>>>> (722)=ping-pong_ball >>>>>>> (722)=ping-pong_ball >>>>>>> >>>>>>> >>>>>>> This is what I see from dmesg: >>>>>>> >>>>>>> [20753.769040] usb 1-1: New USB device found, idVendor=046d, >>>>>>> idProduct=082d >>>>>>> [20753.769075] usb 1-1: New USB device strings: Mfr=0, Product=2, >>>>>>> SerialNumber=1 >>>>>>> [20753.769097] usb 1-1: Product: HD Pro Webcam C920 >>>>>>> [20753.769118] usb 1-1: SerialNumber: C0DB0F6F >>>>>>> [20754.099831] uvcvideo: Found UVC 1.00 device HD Pro Webcam C920 ( >>>>>>> 046d:082d) >>>>>>> [20754.120146] uvcvideo 1-1:1.0: Entity type for entity Processing 3 >>>>>>> was not initialized! >>>>>>> [20754.120179] uvcvideo 1-1:1.0: Entity type for entity Extension 6 >>>>>>> was not initialized! >>>>>>> >>>>>>> [20754.120323] uvcvideo 1-1:1.0: Entity type for entity Extension 11 >>>>>>> was not initialized! >>>>>>> [20754.125089] input: HD Pro Webcam C920 as /devices/platform/ >>>>>>> 44000000.ocp/488c0000.omap_dwc3_2/488d0000.usb/xhci-hcd.1.auto/usb1/ >>>>>>> 1-1/1-1:1.0/input/input3 >>>>>>> [20754.135851] usbcore: registered new interface driver uvcvideo >>>>>>> [20754.135871] USB Video Class driver (1.1.1) >>>>>>> [20754.437849] usbcore: registered new interface driver snd-usb- >>>>>>> audio >>>>>>> [20867.134498] usb 1-1: reset high-speed USB device number 3 using >>>>>>> xhci-hcd >>>>>>> [20867.558788] omap-iommu 58882000.mmu: 58882000.mmu: version 2.1 >>>>>>> [20867.605127] omap_hwmod: mmu0_dsp2: _wait_target_disable failed >>>>>>> [20867.605206] omap-iommu 41501000.mmu: 41501000.mmu: version 3.0 >>>>>>> [20867.605483] omap-iommu 41502000.mmu: 41502000.mmu: version 3.0 >>>>>>> [20867.619103] omap_hwmod: mmu0_dsp1: _wait_target_disable failed >>>>>>> >>>>>>> >>>>>>> Am I missing a step? >>>>>>> >>>>>>> Cheers, >>>>>>> >>>>>>> Jon >>>>>>> >>>>>> -- >>>> For more options, visit http://beagleboard.org/discuss >>>> --- >>>> You received this message because you are subscribed to the Google >>>> Groups "BeagleBoard" group. >>>> To unsubscribe from this group and stop receiving emails from it, send >>>> an email to [email protected]. >>>> To view this discussion on the web visit >>>> https://groups.google.com/d/msgid/beagleboard/94498dec-c8ec-4798-ae93-2b843980fb08%40googlegroups.com >>>> <https://groups.google.com/d/msgid/beagleboard/94498dec-c8ec-4798-ae93-2b843980fb08%40googlegroups.com?utm_medium=email&utm_source=footer> >>>> . >>>> >>> -- > For more options, visit http://beagleboard.org/discuss > --- > You received this message because you are subscribed to the Google Groups > "BeagleBoard" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > To view this discussion on the web visit > https://groups.google.com/d/msgid/beagleboard/49bba76b-0525-47ed-ae2a-5c9396ca4f2a%40googlegroups.com > <https://groups.google.com/d/msgid/beagleboard/49bba76b-0525-47ed-ae2a-5c9396ca4f2a%40googlegroups.com?utm_medium=email&utm_source=footer> > . > -- For more options, visit http://beagleboard.org/discuss --- You received this message because you are subscribed to the Google Groups "BeagleBoard" group. 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