- Watsor TensorRT detector has been upgraded to support latest TensorRT 8. It is still backward compatible with TensoRT 7. TensorRT 8 supports a lot more object detection models including Single Shot Detector and Faster R-CNN. The list of supported model can be found here.
- Raspberry Pi 3&4 images updated from the latest bullseye base image.
Breaking change
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 However, it will not be able to run ONNX models since CUDA and TensorRT are still outdated in the host Jeson Nano system.