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LocalSetUp.md

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Installations

You will have to push these images to Artifact Registry (note: NOT Model Registry!), and these will be taken as your submissions along with your final model versions. Thus, though as a semi-finalist/finalist you will continue to have access to your Online Development Environment on GCP, this means you will likely want to set up the gcloud CLI on your local development environment as well if you want to be able to push containers from the same platform that you test them from; see the installation instructions below.

IMPORTANT NOTE: You should also run all your models simultaneously on your T4 instance on GCP to ensure that your models will all fit into the VRAM you will have access to during the semi-finals + finals (16GB of VRAM). Note that for the testing and finals, the network will be a LAN setup disconnected from the internet. As such, you must ensure that your images are able to be run offline

GCloud CLI

To install it, see the installation docs provided by GCP.

Then, run gcloud init,

Login to ur account (gmail)

Set ur project id to dsta-angelhack

gcloud config set project dsta-angelhack

Which is handled by the below

Set up gcloud docker auth

gcloud auth configure-docker asia-southeast1-docker.pkg.dev -q

gcloud config set artifacts/location asia-southeast1

gcloud config set artifacts/repository repository-$1

Install Required libraries

pip install -r requirements.txt

Local Testing (Finals Environment)

Create an .env file based on the provided .env.example file, and update it accordingly:

  • COMPETITION_IP = "172.17.0.1" on Linux, "host.docker.internal" otherwise
  • LOCAL_IP = "172.17.0.1" on Linux, "host.docker.internal" otherwise
  • USE_ROBOT = "false"

Then run docker compose up. This should start the competition server locally, as well as the rest of the services accordingly to connect to it. Run this only when all the containers are built

Models

Open Docker Desktop

NLP

Pulling

docker pull asia-southeast1-docker.pkg.dev/dsta-angelhack/repository-12000sgdplushie/12000sgd-nlp:finals

Running

docker run -p 5002:5002 --gpus all -d asia-southeast1-docker.pkg.dev/dsta-angelhack/repository-12000sgdplushie/12000sgd-nlp:finals

ASR

TBC

VLM

docker pull asia-southeast1-docker.pkg.dev/dsta-angelhack/repository-12000sgdplushie/12000sgd-multistage-vlm:yolo-ep65-aug-siglip-large-augv2-upscale-pad1-cond-ep5-conf0.1

Running

docker run -p 5003:5003 --gpus all -d asia-southeast1-docker.pkg.dev/dsta-angelhack/repository-12000sgdplushie/12000sgd-multistage-vlm:yolo-ep65-aug-siglip-large-augv2-upscale-pad1-cond-ep5-conf0.1

Kill all dockers

docker kill $(docker ps -q)

Remove all images

docker rm -v $(docker ps --filter status=exited -q)

Running

docker exec -it eeacabda5213 bash

Sample copy

docker cp eeacabda5213:4.jpg ./4.jpg