USB Camera not working - Deepstream SDK 5

Accelerated Computing Intelligent Video Analytics DeepStream SDK
1

When possible, please provide the following info:

**• Hardware Platform (Jetson / GPU)**Jetson Nano
• DeepStream Version5
**• JetPack Version (valid for Jetson only)**4.4
• TensorRT Version7
• NVIDIA GPU Driver Version (valid for GPU only)

I tried running the USB camera (Logitech c930e) on deepstream sdk -
deepstream-app/source1_usb_dec_infer_resnet_int8.txt

here is the config file:

[source0]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI
type=1
camera-width=640
camera-height=480
camera-fps-n=30
camera-fps-d=1
camera-v4l2-dev-node=0 (I changed the dev-node from 6 to 0 (even tried 1) as values greater than 2 gives the error - cannot identify device dev/video6)

it gave this error:
** INFO: <bus_callback:147>: incorrect camera parameters provided, please provide supported resolution and frame rate

I tried the CSI camera, no problems there.

3

Hi
your issue is ** INFO: <bus_callback:147>: incorrect camera parameters provided, please provide supported resolution and frame rate
If you do not have v4l2-ctl, please install and run below to check camera supported resolution and frame rate
v4l2-ctl --list-formats-ext
then pass supported resolution and frame rate to camera property in config.

4

Hi, I have installed v4l2-utils and was able to run command
v4l2-ctl --list-formats-ext, it showed this output:
ioctl: VIDIOC_ENUM_FMT
Index : 0
Type : Video Capture
Pixel Format: ‘RG10’
Name : 10-bit Bayer RGRG/GBGB
Size: Discrete 3264x2464
Interval: Discrete 0.048s (21.000 fps)
Size: Discrete 3264x1848
Interval: Discrete 0.036s (28.000 fps)
Size: Discrete 1920x1080
Interval: Discrete 0.033s (30.000 fps)
Size: Discrete 1280x720
Interval: Discrete 0.017s (60.000 fps)
Size: Discrete 1280x720
Interval: Discrete 0.017s (60.000 fps)

So I tried both 1920x 1080 30fps and 1280x 720 60fps, here is the config:
[source0]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI
type=1
camera-width=1920
camera-height=1080
camera-fps-n=30
camera-fps-d=1
camera-v4l2-dev-node=0

It still gave this error message:

ERROR from src_elem: Internal data stream error.
Debug info: gstbasesrc.c(3055): gst_base_src_loop (): /GstPipeline:pipeline/GstBin:multi_src_bin/GstBin:src_sub_bin0/GstV4l2Src:src_elem:
streaming stopped, reason not-negotiated (-4)
** INFO: <bus_callback:147>: incorrect camera parameters provided, please provide supported resolution and frame rate

Quitting
App run failed
jetsondesktop:/opt/nvidia/deepstream/deepstream-5.0$

I have tried to run cheese, and was able to run it with the webcam.

Thanks. Hope to get your reply.

5

Hi
Please make sure you are using usb camera not CSI camera and if indeed usb camera, make sure use the right device node
v4l2-ctl -d /dev/videoX --list-formats-ext

6

Hi,

I was able to determine the correct node for the webcam (dev node 1), and it showed 2 formats - YUYV and MJPG.

Here are the available sizes
ioctl: VIDIOC_ENUM_FMT
Index : 0
Type : Video Capture
Pixel Format: ‘YUYV’
Name : YUYV 4:2:2

   	Size: Discrete 1280x720 (showing this for now, there are many available sizes)
		Interval: Discrete 0.100s (10.000 fps)
		Interval: Discrete 0.133s (7.500 fps)
		Interval: Discrete 0.200s (5.000 fps)

Index       : 1
Type        : Video Capture
Pixel Format: 'MJPG' (compressed)
Name        : Motion-JPEG

Size: Discrete 1280x720
Interval: Discrete 0.033s (30.000 fps)
Interval: Discrete 0.042s (24.000 fps)
Interval: Discrete 0.050s (20.000 fps)
Interval: Discrete 0.067s (15.000 fps)
Interval: Discrete 0.100s (10.000 fps)
Interval: Discrete 0.133s (7.500 fps)
Interval: Discrete 0.200s (5.000 fps)

I was able to run deepstream but i think it followed the YUYV format (limited performance) , how do I use the MJPG format (has better available performance)?

The config i used are as follows:

[source0]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI
type=1
camera-width=1280
camera-height=720
camera-fps-n=10
camera-fps-d=1
camera-v4l2-dev-node=1

7

Please refer to this topic for how to use mjpg format,

8

Thanks. I posted my concern separately on that thread because the code used on Deepstream 5 is a bit different from Deepstream 4, I tried to recompile as guided by the solution but I am having errors.

1 Like
9

Sorry for a late reply, have you solved this issue?

it’s one workable sample you can refer to.
from a glance of your code, you created redundancy caps for “image/jpeg”, but no caps like “video/x-raw”, “format”, G_TYPE_STRING,“NV12”, “width”, G_TYPE_INT, config->source_width, “height”, G_TYPE_INT, config->source_height, “framerate”, GST_TYPE_FRACTION, config->source_fps_n, config->source_fps_d which can accepted by nvvideoconvert.

10

Hello @Amycao,

Thanks for this. I’ll consider this for my troubleshooting.

Robi