Docker image for Nvidia Jetson devices seems incompatible with Jetson Nano, because L4T base image no longer brings CUDA, CuDNN and TensorRT from the host file system. These libraries are now baked into Docker image, where the most recent version of them inherits JetPack 5.0 and Ubuntu 20.04. Jetson Nano is still uses JetPack 4.4.1 and Ubuntu 18.04, so until Nvidia provides an upgrade, it can not run the new Docker image.
As as workaround, on top of smirnou/watsor.jetson:1.0.6
image one can create an image with the latest Watsor's code or upgrade Watsor's Python module right in the container. However, it will not be able to run ONNX models since CUDA and TensorRT are still outdated in the host Jeson Nano system.
Published by asmirnou almost 4 years ago
BREAKING CHANGE: GPU's code got rid of the plugin as it is now included in TensorRT 7. UFF models previously associated with that plugin have been recompiled and need to be downloaded and replaced.
Published by asmirnou over 4 years ago
input
and output
ca be relative to the config directoryPublished by asmirnou over 4 years ago
This release adds:
Published by asmirnou over 4 years ago
Published by asmirnou over 4 years ago
Watsor detects objects in video stream using deep learning-based approach. Intended primarily for surveillance it works in sheer real-time analysing the most recent frame to deliver fastest reaction against a detected threat.
Being applicable in CCTV, Watsor also suits other areas, where object detection in video stream is required.