Are you sure you want to delete this task? Once this task is deleted, it cannot be recovered.
You can not select more than 25 topics
Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.
pengsida
333026fc12
|
1 year ago | |
|---|---|---|
| .. | ||
| .condarc | 3 years ago | |
| Dockerfile | 3 years ago | |
| README.md | 3 years ago | |
| apt-sources.list | 3 years ago | |
| spconv.sh | 1 year ago | |
README.md
1. Build the image
From the root path of the project:
docker build -f docker/Dockerfile -t neuralbody .
You may want to try several times since there are so many packages to be downloaded through the Internet and htpp(s) erros could occur.
2. Data preparation
The docker image contains the environment you need to run the project, while you still need to manually download data as described in INSTALL.md.
Note that the files downloaded are originally tar.gz files, while you need to extract each of them.
An example is like:
for name in $(ls *.tar.gz); do tar -xvf $name; done
3. Execution using docker containers
Suppose you are at the root path of the project, run a docker container like:
docker run -it --rm --gpus=all \
--mount type=bind,source="$(pwd)",target=/app \
--mount type=bind,source=<DATAPATH>,target=/app/data \
neuralbody <COMMAND>
where <COMMAND> can be obtained from README.md and <DATAPATH> is your path for data.
No Description
Python Shell Markdown Dockerfile other
