aminehy/tensorrt-opencv-python3 repository overview

⁠Docker-TensorRT-OpenCV-Python3

⁠The container includes

• Ubuntu 16.04
• NVIDIA CUDA 10.1 Update 1 including cuBLAS 10.1 Update 1
• NVIDIA cuDNN 7.6.0
• NVIDIA NCCL 2.4.6 (optimized for NVLink™ )
• OpenCV 3.4.6
• Python 3.5
• jupyter-lab
• Python requiremments from the base docker image
• See Dockerfile for more informations

⁠Run the docker container

`xhost +`
`docker run -it --rm -v $(pwd):/workspace --runtime=nvidia -w /workspace -v /tmp/.X11-unix:/tmp/.X11-unix -e DISPLAY=unix$DISPLAY -p 8888:8888 aminehy/tensorrt-opencv-python3:v1.3`

⁠Build a docker image from the Dockefile

`docker build -t aminehy/tensorrt-opencv-python3:v1.3 .`

⁠Push the docker image to docker hub

`docker push aminehy/tensorrt-opencv-python3:v1.3`

⁠After running the containter you can launch jupyter notebook by typing the following command in the terminal

`jupyter notebook --ip 0.0.0.0 --no-browser --allow-root`