This branch contains a Dockerfile which pulls the image from the latest ultralytics/yolov5:latest, installs jupyterlab, jupyterlab_tensorboard, and their dependencies.

This branch is to allow users to easily view the latest YOLOV5 docker image via Jupyterlab and use Tensorboard all in one window. This should be the preferred method for daily use!

Run the below,

docker pull nanobits/yolov5

Depending on your docker version, run the below with the supplied parameters.

nvidia-docker run --ipc=host -it --rm -p 10000:8888 nanobits/yolov5

You can mount coco to docker by the following commands. This assumes that coco folder is within the current directory.

nvidia-docker run --ipc=host -it --rm -p 10000:8888 -v "$(pwd)"/coco:/usr/src/coco nanobits/yolov5

If you're on local machine, access localhost:10000
If you're on remote machine, access hostname:10000

Feel free to change 10000 to any other open port.

YOLOV5 : https://github.com/ultralytics/yolov5