Camera is showing part of my desktop instead of the image sometimes

[A98]

Hello.I tried to launch usb camera light detection resnet programm:

I got unusual bug:

It seems, that the programm is working fine (because i dont have any errors), but camera is showing part of my desktop instead of the image from the camera.

Log is here:
log1.txt (3.1 KB)

I also have the same problem with an object detection programm:

Log is here:

log1 (1).txt (8.6 KB)

Usually it works like this:

Log:

log1 (2).txt (6.8 KB)

(It should always show image from a camera and detect object)

How can i solve the problems with light detection and object detection and make camera work correct for them ?

[JerryChang]

hello A98,

did you meant this only happened sometimes? what’s the steps to reproduce such failure?

[A98]

My system information:

1.Jetson P3450.

2. Docker container.
   https://github.com/dusty-nv/jetson-inference/blob/master/docs/aux-docker.md

3/4/5: I can get all necessary information by the command : sudo apt-cache show nvidia-jetpack right?
atlas@atlas-desktop:~/jetson-inference$ sudo apt-cache show nvidia-jetpack

Package: nvidia-jetpack
Version: 4.6.4-b39
Architecture: arm64
Maintainer: NVIDIA Corporation
Installed-Size: 194
Depends: nvidia-l4t-jetson-multimedia-api (>> 32.7-0), nvidia-l4t-jetson-multimedia-api (<< 32.8-0), nvidia-cuda (= 4.6.4-b39), nvidia-tensorrt (= 4.6.4-b39), nvidia-nsight-sys (= 4.6.4-b39), nvidia-cudnn8 (= 4.6.4-b39), nvidia-opencv (= 4.6.4-b39), nvidia-container (= 4.6.4-b39), nvidia-visionworks (= 4.6.4-b39), nvidia-vpi (= 4.6.4-b39)
Homepage: http://developer.nvidia.com/jetson
Priority: standard
Section: metapackages
Filename: pool/main/n/nvidia-jetpack/nvidia-jetpack_4.6.4-b39_arm64.deb
Size: 29388
SHA256: adf7a6660f73cdc4f95bc15c48d8588688e3afa5ee18bfd5b3a3caa3a458aa02
SHA1: 5abbe0df74f71579c1a0ee30ab7c2c236e1bcdbb
MD5sum: ec293a56d17f2b2793448d621811330d
Description: NVIDIA Jetpack Meta Package
Description-md5: ad1462289bdbc54909ae109d1d32c0a8

Package: nvidia-jetpack
Version: 4.6.3-b17
Architecture: arm64
Maintainer: NVIDIA Corporation
Installed-Size: 194
Depends: nvidia-l4t-jetson-multimedia-api (>> 32.7-0), nvidia-l4t-jetson-multimedia-api (<< 32.8-0), nvidia-cuda (= 4.6.3-b17), nvidia-tensorrt (= 4.6.3-b17), nvidia-nsight-sys (= 4.6.3-b17), nvidia-cudnn8 (= 4.6.3-b17), nvidia-opencv (= 4.6.3-b17), nvidia-container (= 4.6.3-b17), nvidia-vpi (= 4.6.3-b17)
Homepage: http://developer.nvidia.com/jetson
Priority: standard
Section: metapackages
Filename: pool/main/n/nvidia-jetpack/nvidia-jetpack_4.6.3-b17_arm64.deb
Size: 29368
SHA256: 694254a8667ebbf13852548bdd13a5b8ae61481ac059845b706398eefdcb9e01
SHA1: 67140fc8463ec61fd69352b225244b639c799edd
MD5sum: afa1382b6caded6b736d494fc481bab4
Description: NVIDIA Jetpack Meta Package
Description-md5: ad1462289bdbc54909ae109d1d32c0a8

Package: nvidia-jetpack
Version: 4.6.2-b5
Architecture: arm64
Maintainer: NVIDIA Corporation
Installed-Size: 194
Depends: nvidia-cuda (= 4.6.2-b5), nvidia-opencv (= 4.6.2-b5), nvidia-cudnn8 (= 4.6.2-b5), nvidia-tensorrt (= 4.6.2-b5), nvidia-visionworks (= 4.6.2-b5), nvidia-container (= 4.6.2-b5), nvidia-vpi (= 4.6.2-b5), nvidia-l4t-jetson-multimedia-api (>> 32.7-0), nvidia-l4t-jetson-multimedia-api (<< 32.8-0)
Homepage: http://developer.nvidia.com/jetson
Priority: standard
Section: metapackages
Filename: pool/main/n/nvidia-jetpack/nvidia-jetpack_4.6.2-b5_arm64.deb
Size: 29378
SHA256: 925f4abff97e6024d86cff3b9e132e7c7554d05fb83590487381b7e925d5b2bb
SHA1: e3ef727e87df5c331aece34508c110d57d744fe9
MD5sum: 7cb2e387af41bc8143ac7b6525af7794
Description: NVIDIA Jetpack Meta Package
Description-md5: ad1462289bdbc54909ae109d1d32c0a8

Package: nvidia-jetpack
Version: 4.6.1-b110
Architecture: arm64
Maintainer: NVIDIA Corporation
Installed-Size: 194
Depends: nvidia-cuda (= 4.6.1-b110), nvidia-opencv (= 4.6.1-b110), nvidia-cudnn8 (= 4.6.1-b110), nvidia-tensorrt (= 4.6.1-b110), nvidia-visionworks (= 4.6.1-b110), nvidia-container (= 4.6.1-b110), nvidia-vpi (= 4.6.1-b110), nvidia-l4t-jetson-multimedia-api (>> 32.7-0), nvidia-l4t-jetson-multimedia-api (<< 32.8-0)
Homepage: http://developer.nvidia.com/jetson
Priority: standard
Section: metapackages
Filename: pool/main/n/nvidia-jetpack/nvidia-jetpack_4.6.1-b110_arm64.deb
Size: 29366
SHA256: acfd9e75af780eab165361d61de4b4fe4974890864fe191060b402ac4c2f54d5
SHA1: a016568ac53705acc145a9f7e60505707bea259f
MD5sum: 79be976b184a8c885bd9169ea5b7fb7b
Description: NVIDIA Jetpack Meta Package
Description-md5: ad1462289bdbc54909ae109d1d32c0a8

(I dont know why it shows multiple jetpack versions)

6. Reproducing the issue:

1.Install the same container on the same hardware with a same software.

1. git clone —recursive —depth=1 [GitHub - dusty-nv/jetson-inference: Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.]
   2 .cd jetson-inference
   3.docker/run.sh
   4.exit
   5.exit

Check the name of the container by: sudo images -a

my-detection.txt (3.2 KB)
Download the code, change file format to py and put it in the folder.

3. Rin the container with – volume by the commands:

cd /home/atlas/jetson-inference in the container
atlas@atlas-desktop:~/jetson-inference$ docker/run.sh -c name_of_the_container --volume /home/atlas/Desktop/folder:/home/atlas/jetson-inference

4.cd /home/atlas/jetson-inference in the container
5.python3 my-detection.py

As a result:

Full log is here:
log (1).txt (4.1 KB)

[carolyuu]

Hi A98,

We can run your sample code success on Jetson-Nano + r32.7.4.
Please test again with below command:

$ export DISPLAY=:0
$ xhost +

→ Launch container

$ docker/run.sh -c name_of_the_container --volume /home/atlas/Desktop/folder:/home/atlas/jetson-inference
$ cd /home/atlas/jetson-inference
$ export DISPLAY=:0
$ python3 my-detection.py