stop tracking onnx model #27

	name: Check for new model inference

	on:
	push:
	paths:
	- "//*.onnx"
	workflow_dispatch:

	permissions:
	contents: write
	pull-requests: write

	jobs:
	select-runner:
	runs-on: ubuntu-22.04
	outputs:
	runner: ${{ steps.select_runner.outputs.runner }}
	steps:
	- uses: actions/checkout@v4
	- name: Select runner
	id: select_runner
	run: \|
	if [ "${{ github.repository }}" = "NeuroDesk/cvpr-sam-on-laptop-2024" ]; then
	echo "runner=self-hosted" >> $GITHUB_OUTPUT
	else
	echo "runner=ubuntu-22.04" >> $GITHUB_OUTPUT
	fi

	infer_new_model:
	needs: [select-runner]
	runs-on: ${{ needs.select-runner.outputs.runner }}
	steps:
	- uses: actions/checkout@v4
	- uses: actions/setup-python@v5
	with:
	python-version: '3.10'
	- name: Set up environment and data from osf
	run: \|
	python -m pip install --upgrade pip
	python -m pip install osfclient
	osf --project u8tny fetch test_demo.tar.xz
	tar -xvf test_demo.tar.xz
	rm test_demo.tar.xz

	- name: Run inference
	shell: bash
	run: \|
	mkdir segs && chmod -R 777 ./*
	echo ${{ secrets.USERPWD }} \| sudo -S docker build -f Dockerfile -t hawken50 .
	echo ${{ secrets.USERPWD }} \| sudo -S docker container run -m 8G --name hawken50 --rm -v $PWD/imgs/:/workspace/inputs/ -v $PWD/segs/:/workspace/outputs/ hawken50:latest /bin/bash -c "sh predict.sh"

	- name: Evaluate accuracy and efficiency
	run: \|
	python evaluation/compute_metrics.py -s segs -g gts -csv_dir ./metrics.csv
	cat ./metrics.csv >> $GITHUB_STEP_SUMMARY

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