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 <jonnym...@gmail.com> 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 <jkrid...@gmail.com> 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 beagleboard+unsubscr...@googlegroups.com. >> 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. 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