Segmentation Fault (Core Dumped)

Autonomous Machines Jetson & Embedded Systems Jetson Nano
1

Hello ! Im using jetson nano dev kit. For AI application, i have integrated 2 usb cameras for face recognition. Suddenly it causes Segmentation Fault and it remains.

I have tried every possible solution either updating nvargus folder or cache files removal but none fixed my issue.

Please help me !!!

3

Please give more information can’t tell what problem for such few information.

4

this is the details of two usb cameras and the gstream pipeline im using . Please validate it.
Also if it is wrong , is this the issue behind Segfault.

v4l2-ctl --list-formats-ext
ioctl: VIDIOC_ENUM_FMT
Index : 0
Type : Video Capture
Pixel Format: ‘MJPG’ (compressed)
Name : Motion-JPEG
Size: Discrete 1920x1080
Interval: Discrete 0.017s (60.000 fps)
Interval: Discrete 0.033s (30.000 fps)
Size: Discrete 1280x960
Interval: Discrete 0.017s (60.000 fps)
Interval: Discrete 0.033s (30.000 fps)
Size: Discrete 1280x720
Interval: Discrete 0.017s (60.000 fps)
Interval: Discrete 0.033s (30.000 fps)
Size: Discrete 1024x768
Interval: Discrete 0.017s (60.000 fps)
Interval: Discrete 0.033s (30.000 fps)
Size: Discrete 800x600
Interval: Discrete 0.017s (60.000 fps)
Interval: Discrete 0.033s (30.000 fps)
Size: Discrete 640x480
Interval: Discrete 0.017s (60.000 fps)
Interval: Discrete 0.033s (30.000 fps)
Size: Discrete 320x240
Interval: Discrete 0.017s (60.000 fps)
Interval: Discrete 0.033s (30.000 fps)
Size: Discrete 1920x1080
Interval: Discrete 0.017s (60.000 fps)
Interval: Discrete 0.033s (30.000 fps)

Index       : 1
Type        : Video Capture
Pixel Format: 'YUYV'
Name        : YUYV 4:2:2
	Size: Discrete 1920x1080
		Interval: Discrete 0.200s (5.000 fps)
	Size: Discrete 1280x960
		Interval: Discrete 0.200s (5.000 fps)
	Size: Discrete 1280x720
		Interval: Discrete 0.100s (10.000 fps)
	Size: Discrete 1024x768
		Interval: Discrete 0.067s (15.000 fps)
	Size: Discrete 800x600
		Interval: Discrete 0.050s (20.000 fps)
	Size: Discrete 640x480
		Interval: Discrete 0.033s (30.000 fps)
	Size: Discrete 320x240
		Interval: Discrete 0.017s (60.000 fps)
	Size: Discrete 1920x1080
		Interval: Discrete 0.200s (5.000 fps)

below is the part of my code where gstreamer pipeline is working

def open_cam_onboard(camera_id,flip, type=“USB”,width = 1920, height= 1080):

gst_elements = str(subprocess.check_output('gst-inspect-1.0'))
if type == "USB":
    gst_str = ('v4l2src device=/dev/video{} ! image/jpeg, width={}, height={},framerate=30/1 ! jpegdec ! video/x-raw, framerate=30/1 ! videoconvert ! appsink, drop=1 ').format(camera_id, width, height)
5

Does gst-launch v4l2src device=/dev/video0 ! … command have the same result?

6

please tell me the exact command to run

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gst-launch-1.0 v4l2src device=/dev/video0
Setting pipeline to PAUSED …
Pipeline is live and does not need PREROLL …
Setting pipeline to PLAYING …
New clock: GstSystemClock
ERROR: from element /GstPipeline:pipeline0/GstV4l2Src:v4l2src0: Internal data stream error.
Additional debug info:
gstbasesrc.c(3055): gst_base_src_loop (): /GstPipeline:pipeline0/GstV4l2Src:v4l2src0:
streaming stopped, reason not-linked (-1)
Execution ended after 0:00:01.328765919
Setting pipeline to PAUSED …
Setting pipeline to READY …
Setting pipeline to NULL …
Freeing pipeline …

8

Try below

gst-launch-1.0 v4l2src device=/dev/video1 ! image/jpeg,format=MJPG,width=1280,height=720,framerate=30/1 ! nvv4l2decoder mjpeg=1 ! nvvidconv ! autovideosink
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gst-launch-1.0 v4l2src device=/dev/video1 ! image/jpeg,format=MJPG,width=1280,height=720,framerate=30/1 ! nvv4l2decoder mjpeg=1 ! nvvidconv ! autovideosink
Setting pipeline to PAUSED …
Opening in BLOCKING MODE
Pipeline is live and does not need PREROLL …
Setting pipeline to PLAYING …
New clock: GstSystemClock
NvMMLiteOpen : Block : BlockType = 277
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NvMMLiteBlockCreate : Block : BlockType = 277
^Chandling interrupt.
Interrupt: Stopping pipeline …
Execution ended after 0:00:04.441311872
Setting pipeline to PAUSED …
Setting pipeline to READY …
Setting pipeline to NULL …
Freeing pipeline …

10

Hi @aymen.baig,
Its good to check if the camera will let frames flow at all. Also check if maybe using a raw format works:
gst-launch-1.0 v4l2src device=/dev/video1 ! ‘video/x-raw,format=YUY2,width=1920,height=1080’ ! nvvideoconvert ! fakesink silent=false -v

Contact us: support@ridgerun.com
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11

One thing i would like to add is that I did not face seg fault every time. when my camera units tried multiple connect attempts then jetson nano throws segfault

nano@nano:~$ gst-launch-1.0 v4l2src device=/dev/video1 ! ‘video/x-raw,format=YUY2,width=1920,height=1080’ ! nvvideoconvert ! fakesink silent=false -v

(gst-launch-1.0:8875): GStreamer-CRITICAL **: 14:09:37.508: gst_element_make_from_uri: assertion ‘gst_uri_is_valid (uri)’ failed
WARNING: erroneous pipeline: syntax error
nano@nano:~$ gst-launch-1.0 v4l2src device=/dev/video0 ! ‘video/x-raw,format=YUY2,width=1920,height=1080’ ! nvvideoconvert ! fakesink silent=false -v

(gst-launch-1.0:8938): GStreamer-CRITICAL **: 14:09:51.776: gst_element_make_from_uri: assertion ‘gst_uri_is_valid (uri)’ failed
WARNING: erroneous pipeline: syntax error
nano@nano:~$

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(gst-launch-1.0:8938): GStreamer-CRITICAL **: 14:09:51.776: gst_element_make_from_uri: assertion ‘gst_uri_is_valid (uri)’ failed

This error seems to show that there is no /dev/video entry which would only happen if the camera is not actually connected. Also, is your use case to capture images or are you attempting to capture video?

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