• Hardware Platform (Jetson / GPU) Jetson TX2
• DeepStream Version 5.0
• JetPack Version (valid for Jetson only) 4.4.1
• TensorRT Version 7.1.3
• Issue Type( questions, new requirements, bugs) New Requirements
Hello,
My team and I have been attempting to run Yolov4 and deep-sort on the Jetson TX2, but we’re running into a ton of compatibility issues. I realized today that PeopleNet serves our purposes perfectly. I was able to get the sample PeopleNet for Deepstream running today, and I have a few questions I was hoping the community could help me with.
First Question
We have a generic (non-brand named) USB Camera that shows up under /dev/video0, but when I modify the deepstream_app_source1_peoplenet.txt file, I’m getting the following error:
incorrect camera parameter provided, please provide supported resolution and frame rate.
Here is the modified config params:
[source0]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI 4=RTSP 5=Camera (CSI) (Jetson Only)
type=1
camera-width=1920
camera-height=1080
camera-fps-n=30
camera-fps-d=1
camera-v4l2-dev-node=0
gpu-id=0
and this is the output from running v4l2-ctl -d /dev/video0 --all:
Driver Info (not using libv4l2):
Driver name : uvcvideo
Card type : HiCamera
Bus info : usb-3530000.xhci-2.4
Driver version: 4.9.140
Capabilities : 0x84200001
Video Capture
Streaming
Extended Pix Format
Device Capabilities
Device Caps : 0x04200001
Video Capture
Streaming
Extended Pix Format
Priority: 2
Video input : 0 (Camera 1: ok)
Format Video Capture:
Width/Height : 1920/1080
Pixel Format : 'MJPG'
Field : None
Bytes per Line : 0
Size Image : 4147200
Colorspace : Default
Transfer Function : Default (maps to Rec. 709)
YCbCr/HSV Encoding: Default (maps to ITU-R 601)
Quantization : Default (maps to Full Range)
Flags :
Crop Capability Video Capture:
Bounds : Left 0, Top 0, Width 1920, Height 1080
Default : Left 0, Top 0, Width 1920, Height 1080
Pixel Aspect: 1/1
Selection: crop_default, Left 0, Top 0, Width 1920, Height 1080
Selection: crop_bounds, Left 0, Top 0, Width 1920, Height 1080
Streaming Parameters Video Capture:
Capabilities : timeperframe
Frames per second: 30.000 (30/1)
Read buffers : 0
brightness 0x00980900 (int) : min=0 max=100 step=1 default=50 value=50
exposure_auto 0x009a0901 (menu) : min=0 max=3 default=2 value=2
Is there any reason why this wouldn’t be working? I’m not quite sure how I messed up the camera config…
Second Question
After running inference on a live camera feed, our goal is to transmit the output to AWS via IoT MQTT. We’re looking to transmit the unique object count on screen at any given time. Is there an easy way to get this information from the Deepstream sample? As I mentioned, the sample already does everything we need, so I would prefer not to have to modify the source if it isn’t necessary. However, if it is necessary, where would I start?
Thanks!