Description
Followed the instructions here: Gaze Demo for Jetson/L4T | NVIDIA NGC
Jetson Xavier AGX in version L4T 32.4.2 JetPack 4.4 Developer Preview (https://developer.nvidia.com/jetpack-sdk-44-dp-archive)
Downloaded Docker container:
sudo docker pull nvcr.io/nvidia/jetson-gaze:r32.4.2
Tried running the container:
sudo xhost +si:localuser:root
sudo docker run --runtime nvidia -it --rm --network host -e DISPLAY=$DISPLAY -v /tmp/.X11-unix/:/tmp/.X11-unix nvcr.io/nvidia/jetson-gaze:r32.4.2 python3 run_gaze_sequential.py /videos/gaze_video.mp4 --loop --codec=h264
Get the following errors:
(python3:1): GStreamer-CRITICAL **: 05:55:11.582: gst_caps_is_empty: assertion 'GST_IS_CAPS (caps)' failed
(python3:1): GStreamer-CRITICAL **: 05:55:11.582: gst_caps_truncate: assertion 'GST_IS_CAPS (caps)' failed
(python3:1): GStreamer-CRITICAL **: 05:55:11.583: gst_caps_fixate: assertion 'GST_IS_CAPS (caps)' failed
(python3:1): GStreamer-CRITICAL **: 05:55:11.583: gst_caps_get_structure: assertion 'GST_IS_CAPS (caps)' failed
(python3:1): GStreamer-CRITICAL **: 05:55:11.583: gst_structure_get_string: assertion 'structure != NULL' failed
(python3:1): GStreamer-CRITICAL **: 05:55:11.583: gst_mini_object_unref: assertion 'mini_object != NULL' failed
NvMMLiteOpen : Block : BlockType = 261
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NvMMLiteBlockCreate : Block : BlockType = 261
Allocating new output: 480x272 (x 10), ThumbnailMode = 0
OPENMAX: HandleNewStreamFormat: 3605: Send OMX_EventPortSettingsChanged: nFrameWidth = 480, nFrameHeight = 270
[ WARN:0] global /home/nvidia/host/build_opencv/nv_opencv/modules/videoio/src/cap_gstreamer.cpp (896) open OpenCV | GStreamer warning: unable to query duration of stream
[ WARN:0] global /home/nvidia/host/build_opencv/nv_opencv/modules/videoio/src/cap_gstreamer.cpp (933) open OpenCV | GStreamer warning: Cannot query video position: status=1, value=3, duration=-1
A window pops up with no content in it, and crashes here. The following error msg is printed:
coreReadArchive.cpp (38) - Serialization Error in verifyHeader: 0 (Version tag does not match)
INVALID_STATE: std::exception
INVALID_CONFIG: Deserialize the cuda engine failed.
Assertion fail in file 'trtNet.cpp' line 146: _engine is null
terminate called after throwing an instance of 'std::exception'
what(): std::exception
Tried running with the video included in the docker container and with a personal video. Not working with either of them.
Environment
NVIDIA Jetson AGX Xavier [16GB]
L4T 32.4.3 [ JetPack 4.4 ]
Ubuntu 18.04.4 LTS
Kernel Version: 4.9.140-tegra
CUDA 10.2.89
CUDA Architecture: 7.2
OpenCV version: 4.1.1
OpenCV Cuda: NO
CUDNN: 8.0.0.180
TensorRT: 7.1.3.0
Vision Works: 1.6.0.501
VPI: 0.3.7