ml5js / ml5js/training-styletransfer
Nvidia-docker for style transfer on aws help needed
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 73
- Forks
- 30
- PR merge metrics
- No merged PRs in 30d
Description
As I'm unable to run this at home. I thought I try it out on the AWS platform.
No luck so far. I'm stuck at this step
sudo nvidia-docker run -e USER=$USER -e USERID=$UID -v $PWD:$PWD -w=$PWD -it -p 8888:8888 -p 6006:6006 -v ~/home/YourUserName/:/home cvalenzuelab/styletransfer bash
I don't know how or what I should do to run this on the aws. The above command doesn't give me any errors but it doesn't give me a folder when I need to go back to step 3 and get the /images folder.
Anybody who can help me with this please. I don't want to make to much errors on the aws platform because it's expensive.
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the supplied AWS command and compare its volume paths and working directory with step 3 of the style-transfer instructions. Done means the container runs on AWS and the expected /images folder is available for the next step.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, docker, python
- Domain
- cloud, devops, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100