Hardwar: Jetson Xavier Nx JetPcak: 4.6 deepstream: 6.0 I connected two usb2.0 cameras to NX, usually they work fine, but some time will crash, logs as bellow: 943 - Gst.MessageType.ERROR Error: gst-resource-error-quark: Could not read from resource. (9): gstv4l2bufferpool.c(1040): gst_v4l2_buff…

It will crash too if run the usb sample app long enough, so it is hardware issue, and it is fixed after replacing the usb cable. Thank you very much ^_^

Thanks for response. 1 Referring to many sample, including deepstream-imagedata-multistream ,usb camera sample, uribin sample. 2 Whole media pipeline: v4l2src-jpegparse-nvv4l2decoder-videoconvert-nvvideoconvert-capsfilter-strmmux-pgie-nvvideoconvert-nvdsosd-fakesink. 3 Yes, the issue happens some…

how long will the application crash? to rule out memory leak, could you use this faq to capture HW & SW Memory Leak log. please also use Jetson power GUI or jtop to monitor the GPU,CPU utilization. To narrow down this issue, if using a simplified pipeline, will the application crash? for example, v…

1、From 7 AM to 10AM, about 3 hours, once the crash happens first time, it will happen very soon, about 3 minutes after running. The machine tests at factory which did not work from 6PM, so I can’t check hardware utilization until tomorrow 7AM when they start to work. 2、I think the simplified pipel…

Now, app runs well, through JTOP, memory utilization 3G(total 8G), one CPU utilization close to 100%, other five 60%~80%(total six cpu), GPU utilization close to 100%.

python3 nvmemstat.py -p python3 cat: /sys/kernel/debug/nvmap/iovmm/clients: No such file or directory PID: 9 09:51:01 Traceback (most recent call last): File “nvmemstat.py”, line 158, in if name == ‘main’: main() File “nvmemstat.py”, line 154, in main NvMap(program) File “nvmemstat.p…

CPU and GPU utilization is too high. did you run other applications at the same time? can you use “deepstream-app -c source4_1080p_dec_infer-resnet_tracker_sgie_tiled_display_int8.txt” to reproduce this isue? please refer to this topic for performance improvement. about “vmm/clients: No suc…

Hi Just run one application. I will reproduce this issue as you said, and try to improve performance. I will try this to log memory tomorrow. Another clue, I use the simplified pipeline, it crashed too, damn. I use test1-sample to test camera, it will not crash in a long time, and I change …

could you share the gst-launch pipeline? why do you need to use videoconvert, which dose not support hardware acceleration? please refer to this pipeline in the faq above. $ gst-launch-1.0 v4l2src device=/dev/video2 ! 'image/jpeg, width=640, height=480, framerate=30/1' ! nvv4l2decoder ! nvvideocon…

dstest_pgie_config.txt (1.3 KB) pipeline.py.txt (12.3 KB) I refereed the pipeline in deepstream-test1-usbcam sample in which videoconvert is used, I added a queue between streammux and pgie this mornning, please check attachment for detail. Now the app has ran for about two hours(tow computers, …

Error: gst-resource-error-quark: Failed to allocate a buffer

Accelerated Computing Intelligent Video Analytics DeepStream SDK

fanzh May 16, 2024, 8:47am 3

which sample are you testing or referring to? what is the whole media pipeline? please refer to this FAQ for How to connect a USB camera in DeepStream.

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Error: gst-resource-error-quark: Failed to allocate a buffer

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