fix when no model selected #2040

Workflow file for this run

	# name of the workflow, what it is doing (optional)
	name: BoxMOT CI

	# events that trigger the workflow (required)
	on:
	push:
	# pushes to the following branches
	branches:
	- master
	pull_request:
	# pull request where master is target
	branches:
	- master


	jobs:
	tracking-methods:
	runs-on: ${{ matrix.os }}
	outputs:
	status: ${{ job.status }}
	strategy:
	fail-fast: false
	matrix:
	os: [ubuntu-latest, macos-14] # skip windows-latest for
	python-version: ['3.11']
	# leads to too many workflow which ends up queued
	# tracking-method: [hybridsort, botsort, ocsort, bytetrack]

	# Timeout: https://stackoverflow.com/a/59076067/4521646
	timeout-minutes: 50
	steps:
	- uses: actions/checkout@v4 # Check out the repository
	- name: Set up Python
	uses: actions/setup-python@v5 # Prepare environment with python 3.9
	with:
	python-version: ${{ matrix.python-version }}
	cache: 'pip' # caching pip dependencies
	- name: Install requirements
	shell: bash # for Windows compatibility
	run: \|
	if [[ "$OSTYPE" == "darwin"* ]]; then
	# macOS
	sed -i '' 's/source="torch_cuda121"/source="torchcpu"/g' pyproject.toml
	elif [[ "$OSTYPE" == "linux-gnu"* ]]; then
	# Linux
	sed -i 's/source="torch_cuda121"/source="torchcpu"/g' pyproject.toml
	fi
	python -m pip install --upgrade pip setuptools wheel poetry
	poetry config virtualenvs.create false
	poetry lock --no-update
	poetry install --with yolo

	- name: Generate detections and embeddings
	run: \|
	python tracking/val.py generate_dets_embs --source ./assets/MOT17-mini/train --yolo-model yolov10n.pt --reid-model osnet_x0_25_msmt17.pt --imgsz 320

	- name: Run tracking method
	run: \|
	for tracker in $TRACKERS; do
	python tracking/val.py generate_mot_results --yolo-model yolov10n.pt --reid-model osnet_x0_25_msmt17.pt --imgsz 320 --tracking-method $tracker
	done

	evolution:
	runs-on: ${{ matrix.os }}
	strategy:
	fail-fast: false
	matrix:
	os: [ubuntu-latest] # skip windows-latest for
	python-version: ['3.9', '3.11']
	outputs:
	status: ${{ job.status }}

	# Timeout: https://stackoverflow.com/a/59076067/4521646
	timeout-minutes: 50
	steps:
	- uses: actions/checkout@v4 # Check out the repository
	- name: Set up Python
	uses: actions/setup-python@v5 # Prepare environment with python 3.9
	with:
	python-version: ${{ matrix.python-version }}
	cache: 'pip' # caching pip dependencies

	- name: Install requirements
	shell: bash # for Windows compatibility
	run: \|
	if [[ "$OSTYPE" == "darwin"* ]]; then
	# macOS
	sed -i '' 's/source="torch_cuda121"/source="torchcpu"/g' pyproject.toml
	elif [[ "$OSTYPE" == "linux-gnu"* ]]; then
	# Linux
	sed -i 's/source="torch_cuda121"/source="torchcpu"/g' pyproject.toml
	fi
	python -m pip install --upgrade pip setuptools wheel poetry
	poetry config virtualenvs.create false
	poetry lock --no-update
	poetry install --with yolo,evolve

	- name: Evolve set of parameters for selected tracking method
	run: \|
	# reuse first set of generated det and prod
	python tracking/evolve.py --yolo-model yolov8n.pt --reid-model osnet_x0_25_msmt17.pt --n-trials 3 --tracking-method strongsort --source ./assets/MOT17-mini/train --ci


	mot-metrics-benchmark:
	runs-on: ${{ matrix.os }}
	strategy:
	fail-fast: false
	matrix:
	os: [ubuntu-latest] # skip windows-latest for
	python-version: ['3.9', '3.11']
	outputs:
	status: ${{ job.status }}
	env:
	TRACKERS: "ocsort bytetrack botsort hybridsort deepocsort imprassoc strongsort"

	# Timeout: https://stackoverflow.com/a/59076067/4521646
	timeout-minutes: 50
	steps:
	- uses: actions/checkout@v4 # Check out the repository
	- name: Set up Python
	uses: actions/setup-python@v5 # Prepare environment with python 3.9
	with:
	python-version: ${{ matrix.python-version }}
	cache: 'pip' # caching pip dependencies

	- name: Install requirements
	shell: bash # for Windows compatibility
	run: \|
	if [[ "$OSTYPE" == "darwin"* ]]; then
	# macOS
	sed -i '' 's/source="torch_cuda121"/source="torchcpu"/g' pyproject.toml
	elif [[ "$OSTYPE" == "linux-gnu"* ]]; then
	# Linux
	sed -i 's/source="torch_cuda121"/source="torchcpu"/g' pyproject.toml
	fi
	sudo apt-get install -y jq
	python -m pip install --upgrade pip setuptools wheel poetry
	poetry config virtualenvs.create false
	poetry lock --no-update
	poetry install

	- name: Generate detections and embeddings
	run: \|
	python tracking/val.py generate_dets_embs --source ./assets/MOT17-mini/train --yolo-model yolov10n.pt --reid-model osnet_x0_25_msmt17.pt --imgsz 320 --classes 0

	- name: Evaluation and Summarize Results
	shell: bash
	run: \|
	echo "Format,Status❔,HOTA,MOTA,IDF1" > results.csv

	for tracker in $TRACKERS; do
	if python3 tracking/val.py --yolo-model yolov8n.pt --reid-model osnet_x0_25_msmt17.pt --tracking-method $tracker --verbose --source ./assets/MOT17-mini/train --ci; then
	STATUS="✅"
	else
	STATUS="❌"
	fi

	cat ${tracker}_output.json

	# Extract the relevant parts of the JSON
	HOTA=$(jq -r '.HOTA' ${tracker}_output.json)
	MOTA=$(jq -r '.MOTA' ${tracker}_output.json)
	IDF1=$(jq -r '.IDF1' ${tracker}_output.json)

	TRACKER_NAME=$(echo $tracker \| awk '{print toupper(substr($0,1,1)) tolower(substr($0,2))}')
	echo "$TRACKER_NAME,$STATUS,$HOTA,$MOTA,$IDF1" >> results.csv
	done

	# Sort the results by HOTA in descending order
	(head -n 1 results.csv && tail -n +2 results.csv \| sort -t, -k3 -nr) > sorted_results.csv

	# Create a pretty table from the sorted_results.csv file
	column -s, -t sorted_results.csv > pretty_results.txt

	- name: Show Results
	shell: bash
	run: \|
	cat pretty_results.txt


	tracking-with-pose:
	runs-on: ubuntu-latest
	outputs:
	status: ${{ job.status }}
	steps:
	- uses: actions/checkout@v4
	- name: Set up Python
	uses: actions/setup-python@v5
	with:
	python-version: '3.11'
	- run: \|
	if [[ "$OSTYPE" == "darwin"* ]]; then
	# macOS
	sed -i '' 's/source="torch_cuda121"/source="torchcpu"/g' pyproject.toml
	elif [[ "$OSTYPE" == "linux-gnu"* ]]; then
	# Linux
	sed -i 's/source="torch_cuda121"/source="torchcpu"/g' pyproject.toml
	fi
	python -m pip install --upgrade pip setuptools wheel poetry
	poetry config virtualenvs.create false
	poetry lock --no-update
	poetry install --with yolo
	- name: Test tracking with pose models
	env:
	IMG: ./assets/MOT17-mini/train/MOT17-02-FRCNN/img1/000001.jpg
	run: python tracking/track.py --yolo-model weights/yolov8n-pose.pt --source $IMG --imgsz 320

	tracking-with-yolos:
	runs-on: ubuntu-latest
	outputs:
	status: ${{ job.status }}
	steps:
	- uses: actions/checkout@v4
	- name: Set up Python
	uses: actions/setup-python@v5
	with:
	python-version: '3.11'
	- run: \|
	if [[ "$OSTYPE" == "darwin"* ]]; then
	# macOS
	sed -i '' 's/source="torch_cuda121"/source="torchcpu"/g' pyproject.toml
	elif [[ "$OSTYPE" == "linux-gnu"* ]]; then
	# Linux
	sed -i 's/source="torch_cuda121"/source="torchcpu"/g' pyproject.toml
	fi
	python -m pip install --upgrade pip setuptools wheel poetry
	poetry config virtualenvs.create false
	poetry lock --no-update
	poetry install --with yolo
	- name: Test tracking with pose models
	env:
	IMG: ./assets/MOT17-mini/train/MOT17-02-FRCNN/img1/000001.jpg
	run: \|
	python tracking/track.py --yolo-model yolov10n.pt --source $IMG --imgsz 320
	# python tracking/track.py --yolo-model yolox_n.pt --source $IMG --imgsz 320
	# python tracking/track.py --yolo-model yolo_nas_s.pt --source $IMG --imgsz 320


	tracking-with-seg:
	runs-on: ubuntu-latest
	outputs:
	status: ${{ job.status }}
	steps:
	- id: set_result
	run: echo "::set-output name=result::success"
	- uses: actions/checkout@v4
	- name: Set up Python
	uses: actions/setup-python@v5
	with:
	python-version: '3.11'
	- name: Install dependencies
	run: \|
	if [[ "$OSTYPE" == "darwin"* ]]; then
	# macOS
	sed -i '' 's/source="torch_cuda121"/source="torchcpu"/g' pyproject.toml
	elif [[ "$OSTYPE" == "linux-gnu"* ]]; then
	# Linux
	sed -i 's/source="torch_cuda121"/source="torchcpu"/g' pyproject.toml
	fi
	python -m pip install --upgrade pip setuptools wheel poetry
	poetry config virtualenvs.create false
	poetry lock --no-update
	poetry install --with yolo
	- name: Test tracking with seg models
	env:
	IMG: ./assets/MOT17-mini/train/MOT17-02-FRCNN/img1/000001.jpg
	run: python tracking/track.py --tracking-method deepocsort --yolo-model yolov8n-seg.pt --source $IMG


	export-reid-models:
	runs-on: ubuntu-latest
	outputs:
	status: ${{ job.status }}
	steps:
	- id: set_result
	run: echo "::set-output name=result::success"
	- uses: actions/checkout@v4
	- name: Set up Python
	uses: actions/setup-python@v5
	with:
	python-version: '3.11'
	- name: Install dependencies
	run: \|
	if [[ "$OSTYPE" == "darwin"* ]]; then
	# macOS
	sed -i '' 's/source="torch_cuda121"/source="torchcpu"/g' pyproject.toml
	elif [[ "$OSTYPE" == "linux-gnu"* ]]; then
	# Linux
	sed -i 's/source="torch_cuda121"/source="torchcpu"/g' pyproject.toml
	fi
	python -m pip install --upgrade pip setuptools wheel poetry
	poetry config virtualenvs.create false
	poetry lock --no-update
	poetry install --with export

	# needed for TFLite export
	sudo apt-get install flatbuffers-compiler
	wget https://github.com/PINTO0309/onnx2tf/releases/download/1.16.31/flatc.tar.gz
	tar -zxvf flatc.tar.gz
	sudo chmod +x flatc
	sudo mv flatc /usr/bin/

	- name: Test export models
	run: \|
	python boxmot/appearance/reid_export.py --include torchscript onnx openvino tflite --device cpu --batch-size 3 --dynamic
	- name: Check export TFLite models
	run: \|
	ls /home/runner/work/boxmot/boxmot/tracking/weights/osnet_x0_25_msmt17_saved_model/
	- name: Test inference on exported models
	env:
	IMG: ./assets/MOT17-mini/train/MOT17-02-FRCNN/img1/000001.jpg
	run: \|
	python tracking/track.py --reid-model tracking/weights/osnet_x0_25_msmt17.torchscript --source $IMG --imgsz 320
	python tracking/track.py --reid-model tracking/weights/osnet_x0_25_msmt17.onnx --source $IMG --imgsz 320
	python tracking/track.py --reid-model tracking/weights/osnet_x0_25_msmt17_openvino_model --source $IMG --imgsz 320
	python tracking/track.py --reid-model tracking/weights/osnet_x0_25_msmt17_saved_model/osnet_x0_25_msmt17_float32.tflite --source $IMG --imgsz 320



	tests:
	runs-on: ubuntu-latest
	outputs:
	status: ${{ job.status }}
	steps:
	- uses: actions/checkout@v4
	- name: Set up Python
	uses: actions/setup-python@v5
	with:
	python-version: '3.11'
	- run: \|
	if [[ "$OSTYPE" == "darwin"* ]]; then
	# macOS
	sed -i '' 's/source="torch_cuda121"/source="torchcpu"/g' pyproject.toml
	elif [[ "$OSTYPE" == "linux-gnu"* ]]; then
	# Linux
	sed -i 's/source="torch_cuda121"/source="torchcpu"/g' pyproject.toml
	fi
	python -m pip install --upgrade pip setuptools wheel poetry
	poetry config virtualenvs.create false
	poetry lock --no-update
	poetry install --with test
	- name: Test export models
	run: python boxmot/appearance/reid_export.py --include torchscript onnx openvino --device cpu --batch-size 3 --dynamic
	- name: Pytest tests # after tracking options as this does not download models
	env:
	# directory of PyPi package to be tested
	PACKAGE_DIR: boxmot
	# minimum acceptable test coverage
	COVERAGE_FAIL_UNDER: 25
	shell: bash # for Windows compatibility
	run: \|
	pytest --cov=$PACKAGE_DIR --cov-report=html -v tests
	coverage report --fail-under=$COVERAGE_FAIL_UNDER


	# test-gpu:
	# runs-on: gpu-latest
	# outputs:
	# status: ${{ job.status }}
	# steps:
	# - uses: actions/checkout@v4
	# - name: Set up Python
	# uses: actions/setup-python@v5
	# with:
	# python-version: '3.11'
	# - run: \|
	# python -m pip install --upgrade pip setuptools wheel poetry
	# poetry config virtualenvs.create false
	# poetry install --with test

	# - name: Pytest tests # after tracking options as this does not download models
	# env:
	# # directory of PyPi package to be tested
	# PACKAGE_DIR: boxmot
	# # minimum acceptable test coverage
	# COVERAGE_FAIL_UNDER: 25
	# shell: bash # for Windows compatibility
	# run: \|
	# pytest --cov=$PACKAGE_DIR --cov-report=html -v tests/test_cuda.py


	check-failures:
	needs:
	- tracking-methods
	- mot-metrics-benchmark
	- evolution
	- export-reid-models
	- tests
	- tracking-with-pose
	- tracking-with-seg
	- tracking-with-yolos
	if: always() # This ensures the job runs regardless of previous job failures
	runs-on: ubuntu-latest
	steps:
	- name: Prepare environment variables
	run: \|
	echo "tracking-methods_STATUS=${{ needs.tracking-methods.result }}" >> $GITHUB_ENV
	echo "mot-metrics_STATUS=${{ needs.mot-metrics.result }}" >> $GITHUB_ENV
	echo "evolution_STATUS=${{ needs.evolution.result }}" >> $GITHUB_ENV
	echo "export-reid-models_STATUS=${{ needs.export-reid-modelsn.result }}" >> $GITHUB_ENV
	echo "tests_STATUS=${{ needs.tests.result }}" >> $GITHUB_ENV
	echo "tracking-with-pose_STATUS=${{ needs.tracking-with-pose.result }}" >> $GITHUB_ENV
	echo "tracking-with-seg_STATUS=${{ needs.tracking-with-seg.result }}" >> $GITHUB_ENV
	echo "tracking-with-yolos_STATUS=${{ needs.tracking-with-yolos.result }}" >> $GITHUB_ENV
	- name: Check for failures and create summary
	run: \|
	summary=""
	failed=false

	# Print all environment variables, grep for those ending with _STATUS, then loop
	for var in $(printenv \| grep '_STATUS$'); do
	job_status="${var##*=}" # Extract the status part
	job_name="${var%%=*}" # Extract the job name part
	if [[ "$job_status" != "success" ]]; then
	summary+="$job_name failed with status: $job_status\n"
	failed=true
	fi
	done

	if [[ "$failed" = false ]]; then
	summary="All jobs succeeded."
	fi

	echo "Summary: $summary"

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fix when no model selected #2040

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fix when no model selected #2040

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