Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Docker Image Uploaded #10

Open
aza1200 opened this issue Jun 26, 2024 · 0 comments
Open

Docker Image Uploaded #10

aza1200 opened this issue Jun 26, 2024 · 0 comments

Comments

@aza1200
Copy link

aza1200 commented Jun 26, 2024

Hello, I uploaded docker images for tram

Here is the Docker Link : https://hub.docker.com/r/aza1200/tram/tags

After Installing Nvidia Container toolkit==11.8 You can download by Command

docker pull aza1200/tram:latest

Here is the Command

sudo docker run -v .:/tmp/ --rm --gpus all --env PATH="/root/miniconda3/bin:${PATH}" -w /tmp tram/model_setup:version6 python scripts/detect_track_video.py --video "./example_video.mov" --visualization

sudo docker run -v .:/tmp/ --rm --gpus all --env PATH="/root/miniconda3/bin:${PATH}" -w /tmp tram/model_setup:version6 python scripts/slam_video.py --video "./example_video.mov" --img_focal 600 

sudo docker run -v .:/tmp/ --rm --gpus all --env PATH="/root/miniconda3/bin:${PATH}" -w /tmp tram/model_setup:version6 python scripts/vimo_video.py --video "./example_video.mov"


sudo docker run -v .:/tmp/ --rm --gpus all --env PATH="/root/miniconda3/bin:${PATH}" -w /tmp tram/model_setup:version6 python scripts/tram_video.py --video "./example_video.mov"
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant