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4 changes: 2 additions & 2 deletions PyTorch/Segmentation/MaskRCNN/pytorch/notebooks/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -26,12 +26,12 @@ PATH_TO_COCO='/path/to/coco-2014'
MOUNT_LOCATION='/datasets/data'
NAME='nvidia_maskrcnn'

docker run --it --runtime=nvidia -p 8888:8888 -v $PATH_TO_COCO:/$MOUNT_LOCATION --rm --name=$NAME --shm-size=1g --ulimit memlock=-1 --ulimit stack=67108864 --ipc=host nvidia_joc_maskrcnn_pt
docker run -it --runtime=nvidia -p 8888:8888 -v $PATH_TO_COCO:/$MOUNT_LOCATION --rm --name=$NAME --shm-size=1g --ulimit memlock=-1 --ulimit stack=67108864 --ipc=host nvidia_joc_maskrcnn_pt
```
where `/path/to/coco-2014` is the path on the host machine where the data was/is to be downloaded.

Within the docker interactive bash session, start Jupyter with

`jupyter notebook --ip 0.0.0.0 --port 8888`

Then open the Jupyter GUI interface on your host machine at http://localhost:8888. Within the container, this notebook itself is located at /workspace/object_detection/notebooks.
Then open the Jupyter GUI interface on your host machine at http://localhost:8888. Within the container, this notebook itself is located at /workspace/object_detection/notebooks.