diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS new file mode 100644 index 000000000..6e7fcd59e --- /dev/null +++ b/.github/CODEOWNERS @@ -0,0 +1,4 @@ +# These owners will be the default owners for everything in +# the repo. They will be requested for review when someone +# opens a pull request. +* @SkalskiP @onuralpszr diff --git a/.github/dependabot.yml b/.github/dependabot.yml index 6de587d18..42aa0e9c6 100644 --- a/.github/dependabot.yml +++ b/.github/dependabot.yml @@ -4,13 +4,15 @@ updates: - package-ecosystem: "github-actions" directory: "/" schedule: - interval: "daily" + interval: "weekly" commit-message: prefix: ⬆️ + target-branch: "develop" # Python - package-ecosystem: "pip" directory: "/" schedule: - interval: "daily" + interval: "weekly" commit-message: prefix: ⬆️ + target-branch: "develop" diff --git a/.github/workflows/clear-cache.yml b/.github/workflows/clear-cache.yml index 5b96de427..a9cf4544f 100644 --- a/.github/workflows/clear-cache.yml +++ b/.github/workflows/clear-cache.yml @@ -1,33 +1,42 @@ - name: Clear cache on: - schedule: - - cron: '0 0 1 * *' - workflow_dispatch: + schedule: + - cron: "0 0 1 * *" # Run at midnight on the first day of every month + workflow_dispatch: +# Restrict permissions by default permissions: - actions: write + actions: write # Required for cache management jobs: clear-cache: + name: Clear cache runs-on: ubuntu-latest + timeout-minutes: 10 steps: - name: Clear cache - uses: actions/github-script@v7 + uses: actions/github-script@60a0d83039c74a4aee543508d2ffcb1c3799cdea # v7.0.1 with: script: | - console.log("About to clear") + console.log("Starting cache cleanup...") const caches = await github.rest.actions.getActionsCacheList({ owner: context.repo.owner, repo: context.repo.repo, }) + + let deletedCount = 0 for (const cache of caches.data.actions_caches) { - console.log(cache) - github.rest.actions.deleteActionsCacheById({ - owner: context.repo.owner, - repo: context.repo.repo, - cache_id: cache.id, - }) + console.log(`Deleting cache: ${cache.key} (${cache.size_in_bytes} bytes)`) + try { + await github.rest.actions.deleteActionsCacheById({ + owner: context.repo.owner, + repo: context.repo.repo, + cache_id: cache.id, + }) + deletedCount++ + } catch (error) { + console.error(`Failed to delete cache ${cache.key}: ${error.message}`) + } } - console.log("Clear completed") + console.log(`Cache cleanup completed. Deleted ${deletedCount} caches.`) diff --git a/.github/workflows/combine-dependabot-prs.yml b/.github/workflows/combine-dependabot-prs.yml new file mode 100644 index 000000000..803f2e1c1 --- /dev/null +++ b/.github/workflows/combine-dependabot-prs.yml @@ -0,0 +1,22 @@ +name: Combine Dependabot PRs + +on: + schedule: + - cron: "0 1 * * 3" # Wednesday at 01:00 + workflow_dispatch: # allows you to manually trigger the workflow + +permissions: + contents: write + pull-requests: write + checks: read + +jobs: + combine-prs: + name: Combine + runs-on: ubuntu-latest + steps: + - name: combine-prs + id: combine-prs + uses: github/combine-prs@2909f404763c3177a456e052bdb7f2e85d3a7cb3 # v5.2.0 + with: + labels: combined-pr diff --git a/.github/workflows/notebook-bot.yml b/.github/workflows/notebook-bot.yml deleted file mode 100644 index 17175f3d4..000000000 --- a/.github/workflows/notebook-bot.yml +++ /dev/null @@ -1,64 +0,0 @@ -name: Notebook Check Pull Request - -on: - pull_request_target: - types: [opened, reopened] - -permissions: - contents: read - -jobs: - comment-welcome: - permissions: - contents: read - pull-requests: write - - runs-on: ubuntu-latest - steps: - - name: Fetch pull request branch - uses: actions/checkout@v4 - with: - repository: ${{ github.event.pull_request.head.repo.full_name }} - ref: ${{ github.event.pull_request.head.sha }} - - name: Fetch base develop branch - run: git fetch -u "$GITHUB_SERVER_URL/$GITHUB_REPOSITORY" develop:develop - - name: Create message - env: - HEAD_REPOSITORY: ${{ github.event.pull_request.head.repo.full_name }} - HEAD_REF: ${{ github.event.pull_request.head.ref }} - PR_NUM: ${{ github.event.pull_request.number }} - run: | - # Preview links and tool usage only needed for notebook changes. - readarray -t changed_notebooks < <(git diff --name-only develop | grep '\.ipynb$' || true) - if [[ ${#changed_notebooks[@]} == 0 ]]; then - echo "No notebooks modified in this pull request." - else - msg="

Preview

\n" - msg+="Preview and run these notebook edits with Google Colab:\n\n" - - reviewnb_url="https://app.reviewnb.com/${GITHUB_REPOSITORY}/pull/${PR_NUM}/files/" - msg+="Rendered notebook diffs available on ReviewNB.com.\n" - - msg+="If commits are added to the pull request, synchronize your local branch: git pull origin $HEAD_REF\n" - fi - echo "MESSAGE=$msg" >> $GITHUB_ENV - - name: Post comment - env: - GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} - ISSUE_URL: ${{ github.event.pull_request.issue_url }} - run: | - # Env var defined in previous step. Escape string for JSON. - body="$(echo -n -e $MESSAGE | python3 -c 'import json,sys; print(json.dumps(sys.stdin.read()))')" - # Add comment to pull request. - curl -X POST \ - -H "Accept: application/vnd.github.v3+json" \ - -H "Authorization: token $GITHUB_TOKEN" \ - "${ISSUE_URL}/comments" \ - --data "{\"body\": $body}" diff --git a/.github/workflows/poetry-test.yml b/.github/workflows/poetry-test.yml index 95e2eb7fe..831aaf3c8 100644 --- a/.github/workflows/poetry-test.yml +++ b/.github/workflows/poetry-test.yml @@ -1,17 +1,19 @@ -name: πŸ”§ Poetry Check and Installation Test Workflow +name: πŸ”§ Poetry Checks and Test Workflow on: push: paths: - - 'poetry.lock' - - 'pyproject.toml' + - "poetry.lock" + - "pyproject.toml" pull_request: paths: - - 'poetry.lock' - - 'pyproject.toml' + - "poetry.lock" + - "pyproject.toml" workflow_dispatch: jobs: poetry-tests: + name: Poetry install and check + timeout-minutes: 10 strategy: fail-fast: false matrix: @@ -20,18 +22,24 @@ jobs: runs-on: ${{ matrix.os }} steps: - name: πŸ“₯ Checkout the repository - uses: actions/checkout@v4 + uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 - name: 🐍 Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v5 + uses: actions/setup-python@0b93645e9fea7318ecaed2b359559ac225c90a2b # v5.3.0 with: python-version: ${{ matrix.python-version }} - - name: πŸ“¦ Install the base dependencies - run: python -m pip install --upgrade poetry + - name: πŸ“œ Setup Poetry + uses: abatilo/actions-poetry@3765cf608f2d4a72178a9fc5b918668e542b89b1 # v4.0.0 - name: πŸ” Check the correctness of the project config run: poetry check - name: πŸš€ Do Install the package Test - run: poetry install + run: poetry install --with dev --extras metrics + + - name: πŸ§ͺ Run the Import test + run: poetry run python -c "import supervision; from supervision import assets; from supervision import metrics; print(supervision.__version__)" + + - name: πŸ§ͺ Run the Test + run: poetry run pytest diff --git a/.github/workflows/publish-dev-docs.yml b/.github/workflows/publish-dev-docs.yml deleted file mode 100644 index 0661929e3..000000000 --- a/.github/workflows/publish-dev-docs.yml +++ /dev/null @@ -1,53 +0,0 @@ -name: Docs WorkFlow - Develop Tag πŸ“š - -on: - push: - branches: - - develop - workflow_dispatch: - -concurrency: - group: ${{ github.workflow }}-${{ github.event_name == 'push' && github.ref}} - cancel-in-progress: true - -permissions: - contents: write - pages: write - pull-requests: write - - -jobs: - deploy: - runs-on: ubuntu-latest - steps: - - name: πŸ”„ Checkout code - uses: actions/checkout@v4 - with: - fetch-depth: 0 - - name: 🐍 Set up Python - uses: actions/setup-python@v5 - with: - python-version: '3.10' - - name: πŸ“¦ Install mkdocs-material - run: pip install "mkdocs-material" - - name: πŸ“¦ Install mkdocstrings[python] - run: pip install "mkdocstrings[python]" - - name: πŸ“¦ Install mkdocs-material[imaging] - run: pip install "mkdocs-material[imaging]" - - name: πŸ“¦ Install mike - run: pip install "mike" - - name: πŸ“¦ Install mkdocs-git-revision-date-localized-plugin - run: pip install "mkdocs-git-revision-date-localized-plugin" - - name: πŸ“¦ Install JupyterLab - run: pip install jupyterlab - - name: πŸ“¦ Install mkdocs-jupyter - run: pip install mkdocs-jupyter - - name: πŸ“¦ Install mkdocs-git-committers-plugin-2 - run: pip install mkdocs-git-committers-plugin-2 - - name: βš™οΈ Configure git for github-actions - run: | - git config --global user.name "github-actions[bot]" - git config --global user.email "41898282+github-actions[bot]@users.noreply.github.com" - - name: πŸš€ Deploy MkDoc-Material with mike - run: | - MKDOCS_GIT_COMMITTERS_APIKEY=${{ secrets.GITHUB_TOKEN }} mike deploy --push develop diff --git a/.github/workflows/publish-docs.yml b/.github/workflows/publish-docs.yml new file mode 100644 index 000000000..08b7f5d0f --- /dev/null +++ b/.github/workflows/publish-docs.yml @@ -0,0 +1,62 @@ +name: Build and Publish Docs + +on: + push: + branches: + - develop + workflow_dispatch: + release: + types: [published] + +# Ensure only one concurrent deployment +concurrency: + group: ${{ github.workflow }}-${{ github.event_name == 'push' && github.ref}} + cancel-in-progress: true + +# Restrict permissions by default +permissions: + contents: write # Required for committing to gh-pages + pages: write # Required for deploying to Pages + pull-requests: write # Required for PR comments + +jobs: + deploy: + name: Publish Docs + runs-on: ubuntu-latest + timeout-minutes: 10 + strategy: + matrix: + python-version: ["3.10"] + steps: + - name: πŸ“₯ Checkout the repository + uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 + with: + fetch-depth: 0 + + - name: 🐍 Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@0b93645e9fea7318ecaed2b359559ac225c90a2b # v5.3.0 + with: + python-version: ${{ matrix.python-version }} + + - name: πŸ“œ Setup Poetry + uses: abatilo/actions-poetry@3765cf608f2d4a72178a9fc5b918668e542b89b1 # v4.0.0 + + - name: πŸ“¦ Install dependencies + run: | + poetry install --with=docs + + - name: βš™οΈ Configure git for github-actions + run: | + git config --global user.name "github-actions[bot]" + git config --global user.email "41898282+github-actions[bot]@users.noreply.github.com" + + - name: πŸš€ Deploy Development Docs + if: (github.event_name == 'push' && github.ref == 'refs/heads/develop') || github.event_name == 'workflow_dispatch' + run: | + MKDOCS_GIT_COMMITTERS_APIKEY=${{ secrets.GITHUB_TOKEN }} poetry run mike deploy --push develop + + - name: πŸš€ Deploy Release Docs + if: github.event_name == 'release' && github.event.action == 'published' + run: | + latest_tag=$(git describe --tags `git rev-list --tags --max-count=1`) + MKDOCS_GIT_COMMITTERS_APIKEY=${{ secrets.GITHUB_TOKEN }} poetry run mike deploy --push --update-aliases $latest_tag latest diff --git a/.github/workflows/publish-release-docs.yml b/.github/workflows/publish-release-docs.yml deleted file mode 100644 index 227100332..000000000 --- a/.github/workflows/publish-release-docs.yml +++ /dev/null @@ -1,55 +0,0 @@ -name: Supervision Release Documentation Workflow πŸ“š -on: - workflow_dispatch: - -concurrency: - group: ${{ github.workflow }}-${{ github.event_name == 'push' && github.ref}} - cancel-in-progress: true - -permissions: - contents: write - pages: write - pull-requests: write - - -jobs: - doc-build-deploy: - runs-on: ubuntu-latest - strategy: - matrix: - python-version: ["3.10"] - steps: - - name: πŸ›ŽοΈ Checkout - uses: actions/checkout@v4 - with: - fetch-depth: 0 - ref: ${{ github.head_ref }} - - - name: 🐍 Set up Python - uses: actions/setup-python@v5 - with: - python-version: '3.10' - - name: πŸ“¦ Install mkdocs-material - run: pip install "mkdocs-material" - - name: πŸ“¦ Install mkdocstrings[python] - run: pip install "mkdocstrings[python]" - - name: πŸ“¦ Install mkdocs-material[imaging] - run: pip install "mkdocs-material[imaging]" - - name: πŸ“¦ Install mike - run: pip install "mike" - - name: πŸ“¦ Install mkdocs-git-revision-date-localized-plugin - run: pip install "mkdocs-git-revision-date-localized-plugin" - - name: πŸ“¦ Install JupyterLab - run: pip install jupyterlab - - name: πŸ“¦ Install mkdocs-jupyter - run: pip install mkdocs-jupyter - - name: πŸ“¦ Install mkdocs-git-committers-plugin-2 - run: pip install mkdocs-git-committers-plugin-2 - - name: βš™οΈ Configure git for github-actions πŸ‘· - run: | - git config --global user.name "github-actions[bot]" - git config --global user.email "41898282+github-actions[bot]@users.noreply.github.com" - - name: πŸš€ Deploy MkDoc-Material πŸ“š - run: | - latest_tag=$(git describe --tags `git rev-list --tags --max-count=1`) - MKDOCS_GIT_COMMITTERS_APIKEY=${{ secrets.GITHUB_TOKEN }} mike deploy --push --update-aliases $latest_tag latest diff --git a/.github/workflows/publish-test.yml b/.github/workflows/publish-test.yml index 2cd05bf13..e7ab8b53e 100644 --- a/.github/workflows/publish-test.yml +++ b/.github/workflows/publish-test.yml @@ -1,43 +1,52 @@ name: Publish Supervision Pre-Releases to PyPI and TestPyPI + on: push: tags: - "[0-9]+.[0-9]+[0-9]+.[0-9]+a[0-9]" - "[0-9]+.[0-9]+[0-9]+.[0-9]+b[0-9]" - "[0-9]+.[0-9]+[0-9]+.[0-9]+rc[0-9]" - workflow_dispatch: +permissions: {} # Explicitly remove all permissions by default + jobs: - build-and-publish-pre-release-pypi: - name: Build and publish to PyPI + build-and-publish-pre-release: + name: Publish Pre-releasePackage runs-on: ubuntu-latest environment: test + timeout-minutes: 10 permissions: - id-token: write + id-token: write # Required for PyPI publishing + contents: read # Required for checkout strategy: matrix: python-version: ["3.10"] steps: - - name: πŸ›ŽοΈ Checkout - uses: actions/checkout@v4 - with: - ref: ${{ github.head_ref }} + - name: πŸ“₯ Checkout the repository + uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 + - name: 🐍 Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v5 + uses: actions/setup-python@0b93645e9fea7318ecaed2b359559ac225c90a2b # v5.3.0 with: python-version: ${{ matrix.python-version }} + - name: πŸ“œ Setup Poetry + uses: abatilo/actions-poetry@3765cf608f2d4a72178a9fc5b918668e542b89b1 # v4.0.0 + - name: πŸ—οΈ Build source and wheel distributions run: | - python -m pip install --upgrade build twine - python -m build - twine check --strict dist/* + poetry install --with=build + poetry build + poetry run twine check --strict dist/* - name: πŸš€ Publish to PyPi - uses: pypa/gh-action-pypi-publish@release/v1.10 + uses: pypa/gh-action-pypi-publish@67339c736fd9354cd4f8cb0b744f2b82a74b5c70 # v1.12.3 + with: + attestations: true - name: πŸš€ Publish to Test-PyPi - uses: pypa/gh-action-pypi-publish@release/v1.10 + uses: pypa/gh-action-pypi-publish@67339c736fd9354cd4f8cb0b744f2b82a74b5c70 # v1.12.3 with: repository-url: https://test.pypi.org/legacy/ + attestations: true diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml index 17c2629a8..d71c239b3 100644 --- a/.github/workflows/publish.yml +++ b/.github/workflows/publish.yml @@ -1,40 +1,50 @@ name: Publish Supervision Releases to PyPI and TestPyPI + on: push: tags: - "[0-9]+.[0-9]+[0-9]+.[0-9]" - workflow_dispatch: +permissions: {} # Explicitly remove all permissions by default + jobs: build-and-publish-pre-release: + name: Publish Release Package runs-on: ubuntu-latest environment: release + timeout-minutes: 10 permissions: - id-token: write + id-token: write # Required for PyPI publishing + contents: read # Required for checkout strategy: matrix: python-version: ["3.10"] steps: - - name: πŸ›ŽοΈ Checkout - uses: actions/checkout@v4 - with: - ref: ${{ github.head_ref }} + - name: πŸ“₯ Checkout the repository + uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 + - name: 🐍 Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v5 + uses: actions/setup-python@0b93645e9fea7318ecaed2b359559ac225c90a2b # v5.3.0 with: python-version: ${{ matrix.python-version }} + - name: πŸ“œ Setup Poetry + uses: abatilo/actions-poetry@3765cf608f2d4a72178a9fc5b918668e542b89b1 # v4.0.0 + - name: πŸ—οΈ Build source and wheel distributions run: | - python -m pip install --upgrade build twine - python -m build - twine check --strict dist/* + poetry install --with=build + poetry build + poetry run twine check --strict dist/* - name: πŸš€ Publish to PyPi - uses: pypa/gh-action-pypi-publish@release/v1.10 + uses: pypa/gh-action-pypi-publish@67339c736fd9354cd4f8cb0b744f2b82a74b5c70 # v1.12.3 + with: + attestations: true - name: πŸš€ Publish to Test-PyPi - uses: pypa/gh-action-pypi-publish@release/v1.10 + uses: pypa/gh-action-pypi-publish@67339c736fd9354cd4f8cb0b744f2b82a74b5c70 # v1.12.3 with: repository-url: https://test.pypi.org/legacy/ + attestations: true diff --git a/.github/workflows/test-doc.yml b/.github/workflows/test-doc.yml index b15072902..6b2012d8f 100644 --- a/.github/workflows/test-doc.yml +++ b/.github/workflows/test-doc.yml @@ -4,18 +4,37 @@ on: pull_request: branches: [main, develop] +# Restrict permissions by default +permissions: + contents: read # Required for checkout + checks: write # Required for test reporting + jobs: docs-build-test: + name: Test docs build runs-on: ubuntu-latest + timeout-minutes: 10 + strategy: + matrix: + python-version: ["3.10"] steps: - - name: πŸ”„ Checkout code - uses: actions/checkout@v4 - - name: 🐍 Set up Python - uses: actions/setup-python@v5 + - name: πŸ“₯ Checkout the repository + uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 + with: + fetch-depth: 0 + + - name: 🐍 Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@0b93645e9fea7318ecaed2b359559ac225c90a2b # v5.3.0 with: - python-version: '3.10' - - name: πŸ—οΈ Install dependencies and Test Docs Build + python-version: ${{ matrix.python-version }} + + - name: πŸ“œ Setup Poetry + uses: abatilo/actions-poetry@3765cf608f2d4a72178a9fc5b918668e542b89b1 # v4.0.0 + + - name: πŸ—οΈ Install dependencies + run: | + poetry install --with=docs + + - name: πŸ§ͺ Test Docs Build run: | - python -m pip install --upgrade pip - pip install "mkdocs-material" "mkdocstrings[python]" "mkdocs-material[imaging]" mike "mkdocs-git-revision-date-localized-plugin" jupyterlab mkdocs-jupyter mkdocs-git-committers-plugin-2 - mkdocs build --verbose + poetry run mkdocs build --verbose diff --git a/.github/workflows/test-min.yml b/.github/workflows/test-min.yml deleted file mode 100644 index 1537a63fe..000000000 --- a/.github/workflows/test-min.yml +++ /dev/null @@ -1,58 +0,0 @@ -name: Python 3.8 - Min Dep Test WorkFlow - -on: - pull_request: - branches: [main, develop] - -jobs: - build-min-dep-test: - runs-on: ubuntu-latest - strategy: - matrix: - python-version: ["3.8"] - steps: - - name: πŸ›ŽοΈ Checkout - uses: actions/checkout@v4 - - name: 🐍 Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v5 - #Β id based on python version - id: python-setup - with: - python-version: ${{ matrix.python-version }} - check-latest: true - - - name: πŸ“¦ Install dependencies - run: | - python -m pip install --upgrade pip - pip install \ - attrs==23.1.0 \ - certifi==2023.7.22 \ - charset-normalizer==2.0.12 \ - cycler==0.12.1 \ - exceptiongroup==1.1.3 \ - fonttools==4.43.1 \ - idna==3.4 \ - iniconfig==2.0.0 \ - kiwisolver==1.4.5 \ - matplotlib==3.5.0 \ - numpy==1.21.2 \ - opencv-python==4.5.5.64 \ - Pillow==10.1.0 \ - packaging==23.2 \ - pluggy==1.3.0 \ - pyparsing==3.1.1 \ - pytest==7.2.0 \ - python-dateutil==2.8.2 \ - PyYAML==5.3 \ - requests==2.26.0 \ - scipy==1.10.0 \ - setuptools-scm==8.0.4 \ - six==1.16.0 \ - tomli==2.0.1 \ - tqdm==4.62.3 \ - typing_extensions==4.8.0 \ - urllib3==1.26.18 \ - defusedxml==0.7.1 - - - name: πŸ§ͺ Test - run: "python -m pytest ./test" diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml deleted file mode 100644 index b33f8e537..000000000 --- a/.github/workflows/test.yml +++ /dev/null @@ -1,29 +0,0 @@ -name: Test WorkFlow - -on: - pull_request: - branches: [main, develop] - -jobs: - build-dev-test: - runs-on: ubuntu-latest - strategy: - matrix: - python-version: ["3.8", "3.9", "3.10", "3.11", "3.12", "3.13"] - steps: - - name: πŸ›ŽοΈ Checkout - uses: actions/checkout@v4 - - name: 🐍 Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v5 - with: - python-version: ${{ matrix.python-version }} - check-latest: true - - - name: πŸ“¦ Install dependencies - run: | - python -m pip install --upgrade pip - pip install . - pip install pytest - - - name: πŸ§ͺ Test - run: "python -m pytest ./test" diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 6767146f4..a4355c4aa 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -25,14 +25,14 @@ repos: - id: mixed-line-ending - repo: https://github.com/PyCQA/bandit - rev: '1.7.10' + rev: '1.8.0' hooks: - id: bandit args: ["-c", "pyproject.toml"] additional_dependencies: ["bandit[toml]"] - repo: https://github.com/astral-sh/ruff-pre-commit - rev: v0.7.3 + rev: v0.8.6 hooks: - id: ruff args: [--fix, --exit-non-zero-on-fix] diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 8a06e3421..57a66af83 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -128,15 +128,26 @@ PRs must pass all tests and linting requirements before they can be merged. Before starting your work on the project, set up your development environment: -1. Clone your fork of the project: +1. Clone your fork of the project (recommended to use shallow clone of develop branch): + + **Option A: Recommended for most contributors (shallow clone of develop branch):** ```bash - git clone https://github.com/YOUR_USERNAME/supervision.git + git clone --depth 1 -b develop https://github.com/YOUR_USERNAME/supervision.git cd supervision ``` Replace `YOUR_USERNAME` with your GitHub username. + > Note: Using `--depth 1` creates a shallow clone with minimal history and `-b develop` ensures you start with the development branch. This significantly reduces download size while providing everything needed to contribute. + + **Option B: Full repository clone (if you need complete history):** + + ```bash + git clone https://github.com/YOUR_USERNAME/supervision.git + cd supervision + ``` + 2. Create and activate a virtual environment: ```bash diff --git a/demo.ipynb b/demo.ipynb index 3b8cf2dc1..453c8014a 100644 --- a/demo.ipynb +++ b/demo.ipynb @@ -353,7 +353,7 @@ }, "outputs": [], "source": [ - "!pip install -q ultralytics" + "!pip install -q \"ultralytics<=8.3.40\"" ] }, { diff --git a/docs/assets.md b/docs/assets.md index 2e38ad472..7135f33f0 100644 --- a/docs/assets.md +++ b/docs/assets.md @@ -1,6 +1,5 @@ --- comments: true -status: new --- # Assets @@ -8,17 +7,6 @@ status: new Supervision offers an assets download utility that allows you to download video files that you can use in your demos. -## Install extra - -To install the Supervision assets utility, you can use `pip`. This utility is available -as an extra within the Supervision package. - -!!! example "pip install" - - ```bash - pip install "supervision[assets]" - ``` -

download_assets

diff --git a/docs/detection/annotators.md b/docs/detection/annotators.md index e1071121c..afe64ace0 100644 --- a/docs/detection/annotators.md +++ b/docs/detection/annotators.md @@ -28,26 +28,28 @@ Annotators accept detections and apply box or mask visualizations to the detecti -=== "RoundBox" + === "BoxCorner" @@ -234,7 +236,8 @@ Annotators accept detections and apply box or mask visualizations to the detecti
- ![mask-annotator-example](https://media.roboflow.com/supervision-annotator-examples/mask-annotator-example-purple.png){ align=center width="800" } + ![mask-annotator-example](https://media.roboflow.com/supervision-annotator-examples/ + mask-annotator-example-purple.png){ align=center width="800" }
@@ -255,7 +258,8 @@ Annotators accept detections and apply box or mask visualizations to the detecti
- ![polygon-annotator-example](https://media.roboflow.com/supervision-annotator-examples/polygon-annotator-example-purple.png){ align=center width="800" } + ![polygon-annotator-example](https://media.roboflow.com/supervision-annotator-examples/ + polygon-annotator-example-purple.png){ align=center width="800" }
@@ -283,7 +287,8 @@ Annotators accept detections and apply box or mask visualizations to the detecti
- ![label-annotator-example](https://media.roboflow.com/supervision-annotator-examples/label-annotator-example-purple.png){ align=center width="800" } + ![label-annotator-example](https://media.roboflow.com/supervision-annotator-examples/ + label-annotator-example-purple.png){ align=center width="800" }
@@ -314,7 +319,8 @@ Annotators accept detections and apply box or mask visualizations to the detecti
- ![label-annotator-example](https://media.roboflow.com/supervision-annotator-examples/label-annotator-example-purple.png){ align=center width="800" } + ![label-annotator-example](https://media.roboflow.com/supervision-annotator-examples/ + label-annotator-example-purple.png){ align=center width="800" }
@@ -341,24 +347,32 @@ Annotators accept detections and apply box or mask visualizations to the detecti
- ![icon-annotator-example](https://media.roboflow.com/supervision-annotator-examples/icon-annotator-example.png){ align=center width="800" } + ![icon-annotator-example](https://media.roboflow.com/supervision-annotator-examples/ + icon-annotator-example.png){ align=center width="800" }
-=== "Crop" + === "Blur" @@ -377,7 +391,8 @@ Annotators accept detections and apply box or mask visualizations to the detecti
- ![blur-annotator-example](https://media.roboflow.com/supervision-annotator-examples/blur-annotator-example-purple.png){ align=center width="800" } + ![blur-annotator-example](https://media.roboflow.com/supervision-annotator-examples/ + blur-annotator-example-purple.png){ align=center width="800" }
@@ -398,7 +413,8 @@ Annotators accept detections and apply box or mask visualizations to the detecti
- ![pixelate-annotator-example](https://media.roboflow.com/supervision-annotator-examples/pixelate-annotator-example-10.png){ align=center width="800" } + ![pixelate-annotator-example](https://media.roboflow.com/supervision-annotator-examples/ + pixelate-annotator-example-10.png){ align=center width="800" }
@@ -429,7 +445,8 @@ Annotators accept detections and apply box or mask visualizations to the detecti
- ![trace-annotator-example](https://media.roboflow.com/supervision-annotator-examples/trace-annotator-example-purple.png){ align=center width="800" } + ![trace-annotator-example](https://media.roboflow.com/supervision-annotator-examples/ + trace-annotator-example-purple.png){ align=center width="800" }
@@ -458,7 +475,8 @@ Annotators accept detections and apply box or mask visualizations to the detecti
- ![heat-map-annotator-example](https://media.roboflow.com/supervision-annotator-examples/heat-map-annotator-example-purple.png){ align=center width="800" } + ![heat-map-annotator-example](https://media.roboflow.com/supervision-annotator-examples/ + heat-map-annotator-example-purple.png){ align=center width="800" }
@@ -479,7 +497,31 @@ Annotators accept detections and apply box or mask visualizations to the detecti
- ![background-overlay-annotator-example](https://media.roboflow.com/supervision-annotator-examples/background-color-annotator-example-purple.png) + ![background-overlay-annotator-example](https://media.roboflow.com/supervision-annotator-examples/background-color-annotator-example-purple.png){ align=center width="800" } + +
+ +=== "Comparison" + + ```python + import supervision as sv + + image = ... + detections_1 = sv.Detections(...) + detections_2 = sv.Detections(...) + + comparison_annotator = sv.ComparisonAnnotator() + annotated_frame = comparison_annotator.annotate( + scene=image.copy(), + detections_1=detections_1, + detections_2=detections_2 + ) + ``` + +
+ + ![comparison-annotator-example](https://media.roboflow.com/supervision-annotator-examples/ + comparison-annotator-example.png){ align=center width="800" }
@@ -622,6 +664,12 @@ Annotators accept detections and apply box or mask visualizations to the detecti :::supervision.annotators.core.BackgroundOverlayAnnotator +
+

ComparisonAnnotator

+
+ +:::supervision.annotators.core.ComparisonAnnotator +

ColorLookup

diff --git a/docs/how_to/benchmark_a_model.md b/docs/how_to/benchmark_a_model.md new file mode 100644 index 000000000..bf23ee089 --- /dev/null +++ b/docs/how_to/benchmark_a_model.md @@ -0,0 +1,441 @@ +--- +comments: true +status: new +--- + +![Corgi Example](https://media.roboflow.com/supervision/image-examples/how-to/benchmark-models/corgi-sorted-2.png) + +# Benchmark a Model + +Have you ever trained multiple detection models and wondered which one performs best on your specific use case? Or maybe you've downloaded a pre-trained model and want to verify its performance on your dataset? Model benchmarking is essential for making informed decisions about which model to deploy in production. + +This guide will show an easy way to benchmark your results using `supervision`. It will go over: + +1. [Loading a dataset](#loading-a-dataset) +2. [Loading a model](#loading-a-model) +3. [Benchmarking Basics](#benchmarking-basics) +4. [Running a Model](#running-a-model) +5. [Remapping Classes](#remapping-classes) +6. [Visual Benchmarking](#visual-benchmarking) +7. [Benchmarking Metrics](#benchmarking-metrics) +8. [Mean Average Precision (mAP)](#mean-average-precision-map) +9. [F1 Score](#f1-score) +10. [Bonus: Model Leaderboard](#model-leaderboard) + +This guide will use an instance segmentation model, but it applies to object detection, instance segmentation, and oriented bounding box models (OBB) too. + +A condensed version of this guide is available as a [Colab Notebook](https://colab.research.google.com/drive/1HoOY9pZoVwGiRMmLHtir0qT6Uj45w6Ps?usp=sharing). + +## Loading a Dataset + +Suppose you start with a dataset. Perhaps you found it on [Universe](https://universe.roboflow.com/); perhaps you [labeled your own](https://roboflow.com/how-to-label/yolo11). In either case, this guide assumes you know of a labelled dataset at hand. + +We'll use the following libraries: + +- `roboflow` to manage the dataset and deploy models +- `inference` to run the models +- `supervision` to evaluate the model results + +```bash +pip install roboflow supervision +pip install git+https://github.com/roboflow/inference.git@linas/allow-latest-rc-supervision +``` + +!!! info + + We're updating `inference` at the moment. Please install it as shown above. + +Here's how you can download a dataset: + +```python +from roboflow import Roboflow + +rf = Roboflow(api_key="") +project = rf.workspace("").project("") +dataset = project.version().download("") +``` + +If your dataset is from Universe, go to `Dataset` > `Download Dataset` > select the format (e.g. `YOLOv11`) > `Show download code`. + +If labeling your own data, go to the [dashboard](https://app.roboflow.com/) and check this [guide](https://docs.roboflow.com/api-reference/workspace-and-project-ids) to find your workspace and project IDs. + +In this guide, we shall use a small [Corgi v2](https://universe.roboflow.com/model-examples/segmented-animals-basic) dataset. It is well-labeled and comes with a test set. + +```python +from roboflow import Roboflow + +rf = Roboflow(api_key="") +project = rf.workspace("fbamse1-gm2os").project("corgi-v2") +dataset = project.version(4).download("yolov11") +``` + +This will create a folder called `Corgi-v2-4` with the dataset in the current working directory, with `train`, `test`, and `valid` folders and a `data.yaml` file. + +## Loading a Model + +Let's load a model. + +=== "Inference, Local" + + Roboflow supports a range of state-of-the-art [pre-trained models](https://inference.roboflow.com/quickstart/aliases/) for object detection, instance segmentation, and pose tracking. You don't even need an API key! + + Let's load such a model with inference [`inference`](https://inference.roboflow.com/). + + ```python + from inference import get_model + + model = get_model(model_id="yolov11s-seg-640") + ``` + +=== "Inference, Deployed" + + You can train and deploy a model without leaving the Roboflow platform. See this [guide](https://docs.roboflow.com/train/train/train-from-scratch) for more details. + + To load a model, you can use inference: + + ```python + from inference import get_model + + model_id = "/" + model = get_model(model_id=model_id) + ``` + +=== "Ultralytics" + + Similarly to Inference, Ultralytics allows you to run a variety of models. + + ```bash + pip install "ultralytics<=8.3.40" + ``` + + ```python + from ultralytics import YOLO + + model = YOLO("yolo11s-seg.pt") + ``` + +## Benchmarking Basics + +Evaluating your model requires careful selection of the dataset. Which images should you use?Let's go over the different scenarios. + +- **Unrelated Dataset**: If you have a dataset that was not used to train the model, this is the best choice. +- **Training Set**: This is the set of images used to train the model. This is fine if the model was not trained on this dataset. Otherwise, **never** use it for benchmarking - the results will seem unrealistically good. +- **Validation Set**: This is the set of images used to validate the model during training. Every Nth training epoch, the model is evaluated on the validation set. Often the training is stopped once the validation loss stops improving. Therefore, even while the images aren't used to train the model, it still indirectly influences the training outcome. +- **Test Set**: This is the set of images kept aside for model testing. It is exactly the set you should use for benchmarking. If the dataset was split correctly, none of these images would be shown to the model during training. + +Therefore, an unrelated dataset or the `test` set is the best choice for benchmarking. +Several other problems may arise: + +- **Extra Classes**: An unrelated dataset may contain additional classes which you may need to [filter out](https://supervision.roboflow.com/how_to/filter_detections/#by-set-of-classes) before computing metrics. +- **Class Mismatch**: In an unrelated dataset, the class names or IDs may be different to what your model produces, you'll need to remap them, which is [shown in this guide](#running-a-model). +- **Data Contamination**: The `test` set may not be split correctly, with images from the test set also present in `training` or `validation` set and used during training. In this case, the results will be overly optimistic. This also applies when **very similar** images are used for training and testing - e.g. those taken in the same environment, same lighting conditions, similar angle, etc. +- **Missing Test Set**: Some datasets do not come with a test set. In this case, you should collect and [label](https://roboflow.com/annotate) your own data. Alternatively, a validation set could be used, but the results could be overly optimistic. Make sure to test in the real world as soon as possible. + +## Running a Model + +At this stage, you should have: + +- A dataset of labeled images to evaluate the model. +- A model prepared for benchmarking. + +With these ready, we can now run the model and obtain predictions. +We'll use `supervision` to create a dataset iterator, and then run the model on each image. + +=== "Inference" + + ```python + import supervision as sv + + test_set = sv.DetectionDataset.from_yolo( + images_directory_path=f"{dataset.location}/test/images", + annotations_directory_path=f"{dataset.location}/test/labels", + data_yaml_path=f"{dataset.location}/data.yaml" + ) + + image_paths = [] + predictions_list = [] + targets_list = [] + + for image_path, image, label in test_set: + result = model.infer(image)[0] + predictions = sv.Detections.from_inference(result) + + image_paths.append(image_path) + predictions_list.append(predictions) + targets_list.append(label) + ``` + +=== "Ultralytics" + + ```python + import supervision as sv + + test_set = sv.DetectionDataset.from_yolo( + images_directory_path=f"{dataset.location}/test/images", + annotations_directory_path=f"{dataset.location}/test/labels", + data_yaml_path=f"{dataset.location}/data.yaml" + ) + + image_paths = [] + predictions_list = [] + targets_list = [] + + for image_path, image, label in test_set: + result = model(image)[0] + predictions = sv.Detections.from_ultralytics(result) + + image_paths.append(image_path) + predictions_list.append(predictions) + targets_list.append(label) + ``` + +## Remapping classes + +Did you notice an issue in the above logic? +Since we're using an unrelated dataset, the class names and IDs may be different from what the model was trained on. + +We need to remap them to match the dataset classes. Here's how to do it: + +```python +def remap_classes( + detections: sv.Detections, + class_ids_from_to: dict[int, int], + class_names_from_to: dict[str, str] +) -> None: + new_class_ids = [ + class_ids_from_to.get(class_id, class_id) for class_id in detections.class_id] + detections.class_id = np.array(new_class_ids) + + new_class_names = [ + class_names_from_to.get(name, name) for name in detections["class_name"]] + predictions["class_name"] = np.array(new_class_names) +``` + +Let's also remove the predictions that are not in the dataset classes. + +=== "Inference" + + Dataset class names and IDs can be found in the `data.yaml` file, or by printing `dataset.classes`. + + ```python + import supervision as sv + + test_set = sv.DetectionDataset.from_yolo( + images_directory_path=f"{dataset.location}/test/images", + annotations_directory_path=f"{dataset.location}/test/labels", + data_yaml_path=f"{dataset.location}/data.yaml" + ) + + image_paths = [] + predictions_list = [] + targets_list = [] + + for image_path, image, label in test_set: + result = model.infer(image)[0] + predictions = sv.Detections.from_inference(result) + + remap_classes( + detections=predictions, + class_ids_from_to={16: 0}, + class_names_from_to={"dog": "Corgi"} + ) + predictions = predictions[ + np.isin(predictions["class_name"], test_set.classes) + ] + + image_paths.append(image_path) + predictions_list.append(predictions) + targets_list.append(label) + ``` + +=== "Ultralytics" + + Dataset class names and IDs can be found in the `data.yaml` file, or by printing `dataset.classes`. + + Each model will have a different class mapping, so make sure to check the model's documentation. In this case, the model was trained on the COCO dataset, with a class + configuration found [here](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco8.yaml). + + ```python + import supervision as sv + + test_set = sv.DetectionDataset.from_yolo( + images_directory_path=f"{dataset.location}/test/images", + annotations_directory_path=f"{dataset.location}/test/labels", + data_yaml_path=f"{dataset.location}/data.yaml" + ) + + image_paths = [] + predictions_list = [] + targets_list = [] + + for image_path, image, label in test_set: + result = model(image)[0] + predictions = sv.Detections.from_ultralytics(result) + + remap_classes( + detections=predictions, + class_ids_from_to={16: 0}, + class_names_from_to={"dog": "Corgi"} + ) + predictions = predictions[ + np.isin(predictions["class_name"], test_set.classes) + ] + + image_paths.append(image_path) + predictions_list.append(predictions) + targets_list.append(label) + ``` + +## Visualizing Predictions + +The first step in evaluating your model’s performance is to visualize its predictions. +This gives an intuitive sense of how well your model is detecting objects and where it might be failing. + +```python +import supervision as sv + +N = 9 +GRID_SIZE = (3, 3) + +target_annotator = sv.PolygonAnnotator(color=sv.Color.from_hex("#8315f9"), thickness=8) +prediction_annotator = sv.PolygonAnnotator(color=sv.Color.from_hex("#00cfc6"), thickness=6) + + +annotated_images = [] +for image_path, predictions, targets in zip( + image_paths[:N], predictions_list[:N], targets_list[:N] +): + annotated_image = cv2.imread(image_path) + annotated_image = target_annotator.annotate(scene=annotated_image, detections=targets) + annotated_image = prediction_annotator.annotate(scene=annotated_image, detections=prediction) + annotated_images.append(annotated_image) + +sv.plot_images_grid(images=annotated_images, grid_size=GRID_SIZE) +``` + +Here, predictions in purple are targets (ground truth), and predictions in teal are model predictions. + +![Basic Model Comparison](https://media.roboflow.com/supervision/image-examples/how-to/benchmark-models/basic-model-comparison-corgi.png) + +!!! tip + + Use `sv.BoxAnnotator` for object detection and `sv.OrientedBoxAnnotator` for OBB. + + See [annotator documentation](https://supervision.roboflow.com/latest/detection/annotators/) for even more options. + +## Benchmarking Metrics + +With multiple models, fine details matter. Visual inspection may not be enough. `supervision` provides a collection of metrics that help obtain precise numerical results of model performance. + +### Mean Average Precision (mAP) + +We'll start with [MeanAveragePrecision (mAP)](https://supervision.roboflow.com/latest/metrics/mean_average_precision/#supervision.metrics.mean_average_precision.MeanAveragePrecision), which is the most commonly used metric for object detection. It measures the average precision across all classes and IoU thresholds. + +For a thorough explanation, check out our [blog](https://blog.roboflow.com/mean-average-precision/) and [Youtube video](https://www.youtube.com/watch?v=oqXDdxF_Wuw). + +Here, the most popular value is `mAP 50:95`. It represents the average precision across all classes and IoU thresholds (`0.5` to `0.95`), whereas other values such as `mAP 50` or `mAP 75` only consider a single IoU threshold (`0.5` and `0.75` respectively). + +Let's compute the mAP: + +```python +from supervision.metrics import MeanAveragePrecision, MetricTarget + +map_metric = MeanAveragePrecision(metric_target=MetricTarget.MASKS) +map_result = map_metric.update(predictions_list, targets_list).compute() +``` + +Try printing the result to see it at a glance: + +```python +print(map_result) +``` + +``` +MeanAveragePrecisionResult: +Metric target: MetricTarget.MASKS +Class agnostic: False +mAP @ 50:95: 0.2409 +mAP @ 50: 0.3591 +mAP @ 75: 0.2915 +mAP scores: [0.35909 0.3468 0.34556 ...] +IoU thresh: [0.5 0.55 0.6 ...] +AP per class: + 0: [0.35909 0.3468 0.34556 ...] +... +Small objects: ... +Medium objects: ... +Large objects: ... +``` + +You can also plot the results: + +```python +map_result.plot() +``` + +![mAP Plot](https://media.roboflow.com/supervision/image-examples/how-to/benchmark-models/mAP-plot-corgi.png) + +The metric also breaks down the results by detected object area. Small, medium and large are simply those with area less than 32Β², between 32Β² and 96Β², and greater than 96Β² pixels respectively. + +### F1 Score + +The [F1 Score](https://supervision.roboflow.com/latest/metrics/f1_score/) is another useful metric, especially when dealing with an imbalance between false positives and false negatives. It’s the harmonic mean of **precision** (how many predictions are correct) and **recall** (how many actual instances were detected). + +Here's how you can compute the F1 score: + +```python +from supervision.metrics import F1Score, MetricTarget + +f1_metric = F1Score(metric_target=MetricTarget.MASKS) +f1_result = f1_metric.update(predictions_list, targets_list).compute() +``` + +As with mAP, you can also print the result: + +```python +print(f1_result) +``` + +``` +F1ScoreResult: +Metric target: MetricTarget.MASKS +Averaging method: AveragingMethod.WEIGHTED +F1 @ 50: 0.5341 +F1 @ 75: 0.4636 +F1 @ thresh: [0.53406 0.5278 0.52153 ...] +IoU thresh: [0.5 0.55 0.6 ...] +F1 per class: + 0: [0.53406 0.5278 0.52153 ...] +... +Small objects: ... +Medium objects: ... +Large objects: ... +``` + +Similarly, you can plot the results: + +```python +f1_result.plot() +``` + +![F1 Plot](https://media.roboflow.com/supervision/image-examples/how-to/benchmark-models/f1-score-corgi.png) + +As with mAP, the metric also breaks down the results by detected object area. Small, medium and large are simply those with area less than 32Β², between 32Β² and 96Β², and greater than 96Β² pixels respectively. + +## Model Leaderboard + +Here to compare the basic models? We've got you covered. Check out our [Model Leaderboard](https://leaderboard.roboflow.com/) to see how different models perform and to get a sense of the state-of-the-art results. It's a great place to understand what the leading models can achieve and to compare your own results. + +Even better, the repository is open source! You can see how the models were benchmarked, run the evaluation yourself, and even add your own models to the leaderboard. Check it out on [GitHub](https://github.com/roboflow/model-leaderboard)! + +![Model Leaderboard Example](https://media.roboflow.com/model-leaderboard/model-leaderboard-example.png) + +## Conclusion + +In this guide, you've learned how to set up your environment, train or use pre-trained models, visualize predictions, and evaluate model performance with metrics like [mAP](https://supervision.roboflow.com/latest/metrics/mean_average_precision/), [F1 score](https://supervision.roboflow.com/latest/metrics/f1_score/), and got to know our Model Leaderboard. + +A condensed version of this guide is also available as a [Colab Notebook](https://colab.research.google.com/drive/1HoOY9pZoVwGiRMmLHtir0qT6Uj45w6Ps?usp=sharing). + +For more details, be sure to check out our [documentation](https://supervision.roboflow.com/latest/) and join our community discussions. If you find any issues, please let us know on [GitHub](https://github.com/roboflow/supervision/issues). + +Best of luck with your benchmarking! diff --git a/docs/index.md b/docs/index.md index 08fdb2400..6ba074865 100644 --- a/docs/index.md +++ b/docs/index.md @@ -33,8 +33,9 @@ We write your reusable computer vision tools. Whether you need to load your data You can install `supervision` in a [**Python>=3.8**](https://www.python.org/) environment. -!!! example "pip install (recommended)" - === "pip" +!!! example "Installation" + + === "pip (recommended)" [![version](https://badge.fury.io/py/supervision.svg)](https://badge.fury.io/py/supervision) [![downloads](https://img.shields.io/pypi/dm/supervision)](https://pypistats.org/packages/supervision) [![license](https://img.shields.io/pypi/l/supervision)](https://github.com/roboflow/supervision/blob/main/LICENSE.md) @@ -44,6 +45,43 @@ You can install `supervision` in a pip install supervision ``` + === "poetry" + [![version](https://badge.fury.io/py/supervision.svg)](https://badge.fury.io/py/supervision) + [![downloads](https://img.shields.io/pypi/dm/supervision)](https://pypistats.org/packages/supervision) + [![license](https://img.shields.io/pypi/l/supervision)](https://github.com/roboflow/supervision/blob/main/LICENSE.md) + [![python-version](https://img.shields.io/pypi/pyversions/supervision)](https://badge.fury.io/py/supervision) + + ```bash + poetry add supervision + ``` + + === "uv" + [![version](https://badge.fury.io/py/supervision.svg)](https://badge.fury.io/py/supervision) + [![downloads](https://img.shields.io/pypi/dm/supervision)](https://pypistats.org/packages/supervision) + [![license](https://img.shields.io/pypi/l/supervision)](https://github.com/roboflow/supervision/blob/main/LICENSE.md) + [![python-version](https://img.shields.io/pypi/pyversions/supervision)](https://badge.fury.io/py/supervision) + + ```bash + uv pip install supervision + ``` + + For uv projects: + + ```bash + uv add supervision + ``` + + === "rye" + [![version](https://badge.fury.io/py/supervision.svg)](https://badge.fury.io/py/supervision) + [![downloads](https://img.shields.io/pypi/dm/supervision)](https://pypistats.org/packages/supervision) + [![license](https://img.shields.io/pypi/l/supervision)](https://github.com/roboflow/supervision/blob/main/LICENSE.md) + [![python-version](https://img.shields.io/pypi/pyversions/supervision)](https://badge.fury.io/py/supervision) + + ```bash + rye add supervision + ``` + + !!! example "conda/mamba install" === "conda" [![conda-recipe](https://img.shields.io/badge/recipe-supervision-green.svg)](https://anaconda.org/conda-forge/supervision) [![conda-downloads](https://img.shields.io/conda/dn/conda-forge/supervision.svg)](https://anaconda.org/conda-forge/supervision) [![conda-version](https://img.shields.io/conda/vn/conda-forge/supervision.svg)](https://anaconda.org/conda-forge/supervision) [![conda-platforms](https://img.shields.io/conda/pn/conda-forge/supervision.svg)](https://anaconda.org/conda-forge/supervision) @@ -63,7 +101,7 @@ You can install `supervision` in a === "virtualenv" ```bash # clone repository and navigate to root directory - git clone https://github.com/roboflow/supervision.git + git clone --depth 1 -b develop https://github.com/roboflow/supervision.git cd supervision # setup python environment and activate it @@ -78,7 +116,7 @@ You can install `supervision` in a === "poetry" ```bash # clone repository and navigate to root directory - git clone https://github.com/roboflow/supervision.git + git clone --depth 1 -b develop https://github.com/roboflow/supervision.git cd supervision # setup python environment and activate it diff --git a/docs/notebooks/count-objects-crossing-the-line.ipynb b/docs/notebooks/count-objects-crossing-the-line.ipynb index a26d8c00f..043bb17a0 100644 --- a/docs/notebooks/count-objects-crossing-the-line.ipynb +++ b/docs/notebooks/count-objects-crossing-the-line.ipynb @@ -130,7 +130,7 @@ }, "outputs": [], "source": [ - "!pip install -q ultralytics supervision==0.18.0" + "!pip install -q \"ultralytics<=8.3.40\" \"supervision==0.18.0\"" ] }, { diff --git a/docs/notebooks/quickstart.ipynb b/docs/notebooks/quickstart.ipynb index 325dd6bc4..f760f63d1 100644 --- a/docs/notebooks/quickstart.ipynb +++ b/docs/notebooks/quickstart.ipynb @@ -300,7 +300,7 @@ }, "outputs": [], "source": [ - "!pip install -q ultralytics" + "!pip install -q \"ultralytics<=8.3.40\"" ] }, { diff --git a/examples/count_people_in_zone/README.md b/examples/count_people_in_zone/README.md index 0cb20955d..994ffec64 100644 --- a/examples/count_people_in_zone/README.md +++ b/examples/count_people_in_zone/README.md @@ -17,7 +17,7 @@ https://github.com/roboflow/supervision/assets/26109316/f84db7b5-79e2-4142-a1da- - clone repository and navigate to example directory ```bash - git clone https://github.com/roboflow/supervision.git + git clone --depth 1 -b develop https://github.com/roboflow/supervision.git cd supervision/examples/count_people_in_zone ``` diff --git a/examples/count_people_in_zone/requirements.txt b/examples/count_people_in_zone/requirements.txt index 1cd58655d..e07ecb06c 100644 --- a/examples/count_people_in_zone/requirements.txt +++ b/examples/count_people_in_zone/requirements.txt @@ -2,4 +2,4 @@ gdown inference==0.9.17 supervision>=0.20.0 tqdm -ultralytics +ultralytics<=8.3.40 diff --git a/examples/heatmap_and_track/README.md b/examples/heatmap_and_track/README.md index 2c2fc58c7..2551dadb4 100644 --- a/examples/heatmap_and_track/README.md +++ b/examples/heatmap_and_track/README.md @@ -11,7 +11,7 @@ supervision package for multiple tasks such as drawing heatmap annotations, trac - clone repository and navigate to example directory ```bash - git clone https://github.com/roboflow/supervision.git + git clone --depth 1 -b develop https://github.com/roboflow/supervision.git cd supervision/examples/heatmap_and_track ``` diff --git a/examples/heatmap_and_track/requirements.txt b/examples/heatmap_and_track/requirements.txt index 27e5e57a8..dcf7f53fa 100644 --- a/examples/heatmap_and_track/requirements.txt +++ b/examples/heatmap_and_track/requirements.txt @@ -1,2 +1,2 @@ supervision[assets]==0.19.0 -ultralytics +ultralytics<=8.3.40 diff --git a/examples/speed_estimation/README.md b/examples/speed_estimation/README.md index 08a2018b7..c2e6bcbde 100644 --- a/examples/speed_estimation/README.md +++ b/examples/speed_estimation/README.md @@ -22,7 +22,7 @@ https://github.com/roboflow/supervision/assets/26109316/d50118c1-2ae4-458d-915a- - clone repository and navigate to example directory ```bash - git clone https://github.com/roboflow/supervision.git + git clone --depth 1 -b develop https://github.com/roboflow/supervision.git cd supervision/examples/speed_estimation ``` diff --git a/examples/time_in_zone/README.md b/examples/time_in_zone/README.md index b40e29eb7..5c91a80b3 100644 --- a/examples/time_in_zone/README.md +++ b/examples/time_in_zone/README.md @@ -16,7 +16,7 @@ https://github.com/roboflow/supervision/assets/26109316/d051cc8a-dd15-41d4-aa36- - clone repository and navigate to example directory ```bash - git clone https://github.com/roboflow/supervision.git + git clone --depth 1 -b develop https://github.com/roboflow/supervision.git cd supervision/examples/time_in_zone ``` diff --git a/examples/time_in_zone/requirements.txt b/examples/time_in_zone/requirements.txt index 6154c3ebf..58e3b78d8 100644 --- a/examples/time_in_zone/requirements.txt +++ b/examples/time_in_zone/requirements.txt @@ -1,5 +1,5 @@ opencv-python supervision>=0.20.0 -ultralytics +ultralytics<=8.3.40 inference==0.9.17 pytube diff --git a/examples/tracking/README.md b/examples/tracking/README.md index cb167712b..53b8a3e51 100644 --- a/examples/tracking/README.md +++ b/examples/tracking/README.md @@ -10,7 +10,7 @@ detection and Supervision for tracking and annotation. - clone repository and navigate to example directory ```bash - git clone https://github.com/roboflow/supervision.git + git clone --depth 1 -b develop https://github.com/roboflow/supervision.git cd supervision/examples/tracking ``` diff --git a/examples/tracking/requirements.txt b/examples/tracking/requirements.txt index a45d9291b..f31453c46 100644 --- a/examples/tracking/requirements.txt +++ b/examples/tracking/requirements.txt @@ -1,4 +1,4 @@ inference==0.9.17 supervision==0.19.0 tqdm -ultralytics +ultralytics<=8.3.40 diff --git a/examples/traffic_analysis/README.md b/examples/traffic_analysis/README.md index feac8d91c..29ed71688 100644 --- a/examples/traffic_analysis/README.md +++ b/examples/traffic_analysis/README.md @@ -13,7 +13,7 @@ https://github.com/roboflow/supervision/assets/26109316/c9436828-9fbf-4c25-ae8c- - clone repository and navigate to example directory ```bash - git clone https://github.com/roboflow/supervision.git + git clone --depth 1 -b develop https://github.com/roboflow/supervision.git cd supervision/examples/traffic_analysis ``` diff --git a/examples/traffic_analysis/requirements.txt b/examples/traffic_analysis/requirements.txt index 1cd58655d..e07ecb06c 100644 --- a/examples/traffic_analysis/requirements.txt +++ b/examples/traffic_analysis/requirements.txt @@ -2,4 +2,4 @@ gdown inference==0.9.17 supervision>=0.20.0 tqdm -ultralytics +ultralytics<=8.3.40 diff --git a/mkdocs.yml b/mkdocs.yml index 6d013a730..421018248 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -42,6 +42,7 @@ nav: - Detect Small Objects: how_to/detect_small_objects.md - Track Objects on Video: how_to/track_objects.md - Process Datasets: how_to/process_datasets.md + - Benchmark a Model: how_to/benchmark_a_model.md - Reference - Code API: - Detection and Segmentation: @@ -177,7 +178,6 @@ markdown_extensions: anchor_linenums: true extra_javascript: - - "https://widget.kapa.ai/kapa-widget.bundle.js" - "javascripts/init_kapa_widget.js" - "javascripts/cookbooks-card.js" - "https://cdnjs.cloudflare.com/ajax/libs/dompurify/3.0.8/purify.min.js" diff --git a/poetry.lock b/poetry.lock index bb52aeeb5..2767d2a18 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.0.0 and should not be changed by hand. [[package]] name = "anyio" @@ -6,6 +6,8 @@ version = "4.5.2" description = "High level compatibility layer for multiple asynchronous event loop implementations" optional = false python-versions = ">=3.8" +groups = ["dev"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "anyio-4.5.2-py3-none-any.whl", hash = "sha256:c011ee36bc1e8ba40e5a81cb9df91925c218fe9b778554e0b56a21e1b5d4716f"}, {file = "anyio-4.5.2.tar.gz", hash = "sha256:23009af4ed04ce05991845451e11ef02fc7c5ed29179ac9a420e5ad0ac7ddc5b"}, @@ -28,6 +30,8 @@ version = "0.1.4" description = "Disable App Nap on macOS >= 10.9" optional = false python-versions = ">=3.6" +groups = ["dev", "docs"] +markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and (platform_system == \"Darwin\" or sys_platform == \"darwin\")" files = [ {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"}, {file = "appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee"}, @@ -39,6 +43,8 @@ version = "23.1.0" description = "Argon2 for Python" optional = false python-versions = ">=3.7" +groups = ["dev"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "argon2_cffi-23.1.0-py3-none-any.whl", hash = "sha256:c670642b78ba29641818ab2e68bd4e6a78ba53b7eff7b4c3815ae16abf91c7ea"}, {file = "argon2_cffi-23.1.0.tar.gz", hash = "sha256:879c3e79a2729ce768ebb7d36d4609e3a78a4ca2ec3a9f12286ca057e3d0db08"}, @@ -59,6 +65,8 @@ version = "21.2.0" description = "Low-level CFFI bindings for Argon2" optional = false python-versions = ">=3.6" +groups = ["dev"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "argon2-cffi-bindings-21.2.0.tar.gz", hash = "sha256:bb89ceffa6c791807d1305ceb77dbfacc5aa499891d2c55661c6459651fc39e3"}, {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:ccb949252cb2ab3a08c02024acb77cfb179492d5701c7cbdbfd776124d4d2367"}, @@ -96,6 +104,8 @@ version = "1.3.0" description = "Better dates & times for Python" optional = false python-versions = ">=3.8" +groups = ["dev"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "arrow-1.3.0-py3-none-any.whl", hash = "sha256:c728b120ebc00eb84e01882a6f5e7927a53960aa990ce7dd2b10f39005a67f80"}, {file = "arrow-1.3.0.tar.gz", hash = "sha256:d4540617648cb5f895730f1ad8c82a65f2dad0166f57b75f3ca54759c4d67a85"}, @@ -115,6 +125,8 @@ version = "3.0.0" description = "Annotate AST trees with source code positions" optional = false python-versions = ">=3.8" +groups = ["dev", "docs"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "asttokens-3.0.0-py3-none-any.whl", hash = "sha256:e3078351a059199dd5138cb1c706e6430c05eff2ff136af5eb4790f9d28932e2"}, {file = "asttokens-3.0.0.tar.gz", hash = "sha256:0dcd8baa8d62b0c1d118b399b2ddba3c4aff271d0d7a9e0d4c1681c79035bbc7"}, @@ -130,6 +142,8 @@ version = "1.6.3" description = "An AST unparser for Python" optional = false python-versions = "*" +groups = ["docs"] +markers = "python_version < \"3.9\"" files = [ {file = "astunparse-1.6.3-py2.py3-none-any.whl", hash = "sha256:c2652417f2c8b5bb325c885ae329bdf3f86424075c4fd1a128674bc6fba4b8e8"}, {file = "astunparse-1.6.3.tar.gz", hash = "sha256:5ad93a8456f0d084c3456d059fd9a92cce667963232cbf763eac3bc5b7940872"}, @@ -145,6 +159,8 @@ version = "2.0.4" description = "Simple LRU cache for asyncio" optional = false python-versions = ">=3.8" +groups = ["dev"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "async-lru-2.0.4.tar.gz", hash = "sha256:b8a59a5df60805ff63220b2a0c5b5393da5521b113cd5465a44eb037d81a5627"}, {file = "async_lru-2.0.4-py3-none-any.whl", hash = "sha256:ff02944ce3c288c5be660c42dbcca0742b32c3b279d6dceda655190240b99224"}, @@ -155,19 +171,21 @@ typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.11\""} [[package]] name = "attrs" -version = "24.2.0" +version = "24.3.0" description = "Classes Without Boilerplate" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" +groups = ["dev", "docs"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ - {file = "attrs-24.2.0-py3-none-any.whl", hash = "sha256:81921eb96de3191c8258c199618104dd27ac608d9366f5e35d011eae1867ede2"}, - {file = "attrs-24.2.0.tar.gz", hash = "sha256:5cfb1b9148b5b086569baec03f20d7b6bf3bcacc9a42bebf87ffaaca362f6346"}, + {file = "attrs-24.3.0-py3-none-any.whl", hash = "sha256:ac96cd038792094f438ad1f6ff80837353805ac950cd2aa0e0625ef19850c308"}, + {file = "attrs-24.3.0.tar.gz", hash = "sha256:8f5c07333d543103541ba7be0e2ce16eeee8130cb0b3f9238ab904ce1e85baff"}, ] [package.extras] benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"] cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] -dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] +dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"] tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"] @@ -178,6 +196,8 @@ version = "2.16.0" description = "Internationalization utilities" optional = false python-versions = ">=3.8" +groups = ["dev", "docs"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "babel-2.16.0-py3-none-any.whl", hash = "sha256:368b5b98b37c06b7daf6696391c3240c938b37767d4584413e8438c5c435fa8b"}, {file = "babel-2.16.0.tar.gz", hash = "sha256:d1f3554ca26605fe173f3de0c65f750f5a42f924499bf134de6423582298e316"}, @@ -195,6 +215,8 @@ version = "0.2.0" description = "Specifications for callback functions passed in to an API" optional = false python-versions = "*" +groups = ["dev", "docs"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "backcall-0.2.0-py2.py3-none-any.whl", hash = "sha256:fbbce6a29f263178a1f7915c1940bde0ec2b2a967566fe1c65c1dfb7422bd255"}, {file = "backcall-0.2.0.tar.gz", hash = "sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e"}, @@ -206,6 +228,8 @@ version = "1.2.0" description = "Backport of CPython tarfile module" optional = false python-versions = ">=3.8" +groups = ["build"] +markers = "python_version <= \"3.11\" and (platform_machine == \"arm64\" or platform_machine == \"aarch64\" or platform_machine != \"ppc64le\" and platform_machine != \"s390x\") and (platform_machine == \"arm64\" or platform_machine == \"aarch64\" or platform_system != \"Linux\" or platform_machine != \"ppc64le\" and platform_machine != \"s390x\" and platform_machine != \"aarch64\" or python_version >= \"3.9\") and (platform_machine == \"arm64\" or platform_machine == \"aarch64\" or platform_system != \"Darwin\" or platform_machine != \"ppc64le\" and platform_machine != \"s390x\" and platform_machine != \"arm64\" or python_version >= \"3.9\")" files = [ {file = "backports.tarfile-1.2.0-py3-none-any.whl", hash = "sha256:77e284d754527b01fb1e6fa8a1afe577858ebe4e9dad8919e34c862cb399bc34"}, {file = "backports_tarfile-1.2.0.tar.gz", hash = "sha256:d75e02c268746e1b8144c278978b6e98e85de6ad16f8e4b0844a154557eca991"}, @@ -221,6 +245,8 @@ version = "4.12.3" description = "Screen-scraping library" optional = false python-versions = ">=3.6.0" +groups = ["dev", "docs"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "beautifulsoup4-4.12.3-py3-none-any.whl", hash = "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed"}, {file = "beautifulsoup4-4.12.3.tar.gz", hash = "sha256:74e3d1928edc070d21748185c46e3fb33490f22f52a3addee9aee0f4f7781051"}, @@ -242,6 +268,8 @@ version = "6.1.0" description = "An easy safelist-based HTML-sanitizing tool." optional = false python-versions = ">=3.8" +groups = ["dev", "docs"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "bleach-6.1.0-py3-none-any.whl", hash = "sha256:3225f354cfc436b9789c66c4ee030194bee0568fbf9cbdad3bc8b5c26c5f12b6"}, {file = "bleach-6.1.0.tar.gz", hash = "sha256:0a31f1837963c41d46bbf1331b8778e1308ea0791db03cc4e7357b97cf42a8fe"}, @@ -249,6 +277,7 @@ files = [ [package.dependencies] six = ">=1.9.0" +tinycss2 = {version = ">=1.1.0,<1.3", optional = true, markers = "extra == \"css\""} webencodings = "*" [package.extras] @@ -260,6 +289,8 @@ version = "1.2.2.post1" description = "A simple, correct Python build frontend" optional = false python-versions = ">=3.8" +groups = ["build"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "build-1.2.2.post1-py3-none-any.whl", hash = "sha256:1d61c0887fa860c01971625baae8bdd338e517b836a2f70dd1f7aa3a6b2fc5b5"}, {file = "build-1.2.2.post1.tar.gz", hash = "sha256:b36993e92ca9375a219c99e606a122ff365a760a2d4bba0caa09bd5278b608b7"}, @@ -285,6 +316,8 @@ version = "5.5.0" description = "Extensible memoizing collections and decorators" optional = false python-versions = ">=3.7" +groups = ["dev"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "cachetools-5.5.0-py3-none-any.whl", hash = "sha256:02134e8439cdc2ffb62023ce1debca2944c3f289d66bb17ead3ab3dede74b292"}, {file = "cachetools-5.5.0.tar.gz", hash = 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Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API." optional = false python-versions = ">=3.8" +groups = ["docs"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "griffe-1.4.0-py3-none-any.whl", hash = "sha256:e589de8b8c137e99a46ec45f9598fc0ac5b6868ce824b24db09c02d117b89bc5"}, {file = "griffe-1.4.0.tar.gz", hash = "sha256:8fccc585896d13f1221035d32c50dec65830c87d23f9adb9b1e6f3d63574f7f5"}, @@ -1190,6 +1176,8 @@ version = "0.14.0" description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1" optional = false python-versions = ">=3.7" +groups = ["dev"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"}, {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"}, @@ -1201,6 +1189,8 @@ version = "1.0.7" description = "A minimal low-level HTTP client." optional = false python-versions = ">=3.8" +groups = ["dev"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "httpcore-1.0.7-py3-none-any.whl", hash = "sha256:a3fff8f43dc260d5bd363d9f9cf1830fa3a458b332856f34282de498ed420edd"}, {file = "httpcore-1.0.7.tar.gz", hash = "sha256:8551cb62a169ec7162ac7be8d4817d561f60e08eaa485234898414bb5a8a0b4c"}, @@ -1222,6 +1212,8 @@ version = "0.28.1" description = "The next generation HTTP client." optional = false python-versions = ">=3.8" +groups = ["dev"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"}, {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"}, @@ -1240,26 +1232,14 @@ http2 = ["h2 (>=3,<5)"] socks = ["socksio (==1.*)"] zstd = ["zstandard (>=0.18.0)"] -[[package]] -name = "identify" -version = "2.6.1" -description = "File identification library for Python" -optional = false -python-versions = ">=3.8" -files = [ - {file = "identify-2.6.1-py2.py3-none-any.whl", hash = "sha256:53863bcac7caf8d2ed85bd20312ea5dcfc22226800f6d6881f232d861db5a8f0"}, - {file = "identify-2.6.1.tar.gz", hash = "sha256:91478c5fb7c3aac5ff7bf9b4344f803843dc586832d5f110d672b19aa1984c98"}, -] - -[package.extras] -license = ["ukkonen"] - [[package]] name = "idna" version = "3.10" description = "Internationalized Domain Names in Applications (IDNA)" optional = false python-versions = ">=3.6" +groups = ["main", "build", "dev", "docs"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"}, {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"}, @@ -1274,10 +1254,12 @@ version = "8.5.0" description = "Read metadata from Python packages" optional = false python-versions = ">=3.8" +groups = ["build", "dev", "docs"] files = [ {file = "importlib_metadata-8.5.0-py3-none-any.whl", hash = "sha256:45e54197d28b7a7f1559e60b95e7c567032b602131fbd588f1497f47880aa68b"}, {file = "importlib_metadata-8.5.0.tar.gz", hash = "sha256:71522656f0abace1d072b9e5481a48f07c138e00f079c38c8f883823f9c26bd7"}, ] +markers = {build = "python_version <= \"3.11\" and (python_full_version < \"3.10.2\" or platform_machine != \"ppc64le\" and platform_machine != \"s390x\")", dev = "python_version < \"3.10\"", docs = "python_version <= \"3.11\" or python_version >= \"3.12\""} [package.dependencies] zipp = ">=3.20" @@ -1297,10 +1279,12 @@ version = "6.4.5" description = "Read resources from Python packages" optional = false python-versions = ">=3.8" +groups = ["main", "build", "dev", "docs"] files = [ {file = "importlib_resources-6.4.5-py3-none-any.whl", hash = "sha256:ac29d5f956f01d5e4bb63102a5a19957f1b9175e45649977264a1416783bb717"}, {file = "importlib_resources-6.4.5.tar.gz", hash = "sha256:980862a1d16c9e147a59603677fa2aa5fd82b87f223b6cb870695bcfce830065"}, ] +markers = {main = "python_version < \"3.10\"", build = "python_version < \"3.9\" and (platform_machine == \"arm64\" or platform_machine == \"aarch64\" or platform_machine != \"ppc64le\" and platform_machine != \"s390x\") and (platform_machine == \"arm64\" or platform_machine == \"aarch64\" or platform_system != \"Linux\" or platform_machine != \"ppc64le\" and platform_machine != \"s390x\" and platform_machine != \"aarch64\") and (platform_machine == \"arm64\" or platform_machine == \"aarch64\" or platform_system != \"Darwin\" or platform_machine != \"ppc64le\" and platform_machine != \"s390x\" and platform_machine != \"arm64\")", dev = "python_version < \"3.9\"", docs = "python_version <= \"3.11\" or python_version >= \"3.12\""} [package.dependencies] zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""} @@ -1319,6 +1303,8 @@ version = "2.0.0" description = "brain-dead simple config-ini parsing" optional = false python-versions = ">=3.7" +groups = ["dev"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"}, {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"}, @@ -1330,6 +1316,8 @@ version = "6.29.5" description = "IPython Kernel for Jupyter" optional = false python-versions = ">=3.8" +groups = ["dev", "docs"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "ipykernel-6.29.5-py3-none-any.whl", hash = "sha256:afdb66ba5aa354b09b91379bac28ae4afebbb30e8b39510c9690afb7a10421b5"}, {file = "ipykernel-6.29.5.tar.gz", hash = "sha256:f093a22c4a40f8828f8e330a9c297cb93dcab13bd9678ded6de8e5cf81c56215"}, @@ -1363,6 +1351,8 @@ version = "8.12.3" description = "IPython: Productive Interactive Computing" optional = false python-versions = ">=3.8" +groups = ["dev", "docs"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "ipython-8.12.3-py3-none-any.whl", hash = "sha256:b0340d46a933d27c657b211a329d0be23793c36595acf9e6ef4164bc01a1804c"}, {file = "ipython-8.12.3.tar.gz", hash = "sha256:3910c4b54543c2ad73d06579aa771041b7d5707b033bd488669b4cf544e3b363"}, @@ -1402,6 +1392,8 @@ version = "8.1.5" description = "Jupyter interactive widgets" optional = false python-versions = ">=3.7" +groups = ["dev"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "ipywidgets-8.1.5-py3-none-any.whl", hash = "sha256:3290f526f87ae6e77655555baba4f36681c555b8bdbbff430b70e52c34c86245"}, {file = "ipywidgets-8.1.5.tar.gz", hash = "sha256:870e43b1a35656a80c18c9503bbf2d16802db1cb487eec6fab27d683381dde17"}, @@ -1423,6 +1415,8 @@ version = "20.11.0" description = "Operations with ISO 8601 durations" optional = false python-versions = ">=3.7" +groups = ["dev"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "isoduration-20.11.0-py3-none-any.whl", hash = "sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042"}, {file = "isoduration-20.11.0.tar.gz", hash = "sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9"}, @@ -1437,6 +1431,8 @@ version = "3.4.0" description = "Utility functions for Python class constructs" optional = false python-versions = ">=3.8" +groups = ["build"] +markers = "(platform_machine != \"ppc64le\" and platform_machine != \"s390x\" or python_version <= \"3.11\") and (python_version <= \"3.11\" or python_version >= \"3.12\") and (platform_machine == \"arm64\" or platform_machine == \"aarch64\" or platform_machine != \"ppc64le\" and platform_machine != \"s390x\") and (platform_machine == \"arm64\" or platform_machine == \"aarch64\" or platform_system != \"Linux\" or platform_machine != \"ppc64le\" and platform_machine != \"s390x\" and platform_machine != \"aarch64\" or python_version >= \"3.9\") and (platform_machine == \"arm64\" or platform_machine == \"aarch64\" or platform_system != \"Darwin\" or platform_machine != \"ppc64le\" and platform_machine != \"s390x\" and platform_machine != \"arm64\" or python_version >= \"3.9\")" files = [ {file = "jaraco.classes-3.4.0-py3-none-any.whl", hash = "sha256:f662826b6bed8cace05e7ff873ce0f9283b5c924470fe664fff1c2f00f581790"}, {file = "jaraco.classes-3.4.0.tar.gz", hash = "sha256:47a024b51d0239c0dd8c8540c6c7f484be3b8fcf0b2d85c13825780d3b3f3acd"}, @@ -1455,6 +1451,8 @@ version = "6.0.1" description = "Useful decorators and context managers" optional = false python-versions = ">=3.8" +groups = ["build"] +markers = "(platform_machine != \"ppc64le\" and platform_machine != \"s390x\" or python_version <= \"3.11\") and (python_version <= \"3.11\" or python_version >= \"3.12\") and (platform_machine == \"arm64\" or platform_machine == \"aarch64\" or platform_machine != \"ppc64le\" and platform_machine != \"s390x\") and (platform_machine == \"arm64\" or platform_machine == \"aarch64\" or platform_system != \"Linux\" or platform_machine != \"ppc64le\" and platform_machine != \"s390x\" and platform_machine != \"aarch64\" or python_version >= \"3.9\") and (platform_machine == \"arm64\" or platform_machine == \"aarch64\" or platform_system != \"Darwin\" or platform_machine != \"ppc64le\" and platform_machine != \"s390x\" and platform_machine != \"arm64\" or python_version >= \"3.9\")" files = [ {file = "jaraco.context-6.0.1-py3-none-any.whl", hash = "sha256:f797fc481b490edb305122c9181830a3a5b76d84ef6d1aef2fb9b47ab956f9e4"}, {file = "jaraco_context-6.0.1.tar.gz", hash = "sha256:9bae4ea555cf0b14938dc0aee7c9f32ed303aa20a3b73e7dc80111628792d1b3"}, @@ -1473,6 +1471,8 @@ version = "4.1.0" description = "Functools like those found in stdlib" optional = false python-versions = ">=3.8" +groups = ["build"] +markers = "(platform_machine != \"ppc64le\" and platform_machine != \"s390x\" or python_version <= \"3.11\") and (python_version <= \"3.11\" or python_version >= \"3.12\") and (platform_machine == \"arm64\" or platform_machine == \"aarch64\" or platform_machine != \"ppc64le\" and platform_machine != \"s390x\") and (platform_machine == \"arm64\" or platform_machine == \"aarch64\" or platform_system != \"Linux\" or platform_machine != \"ppc64le\" and platform_machine != \"s390x\" and platform_machine != \"aarch64\" or python_version >= \"3.9\") and (platform_machine == \"arm64\" or platform_machine == \"aarch64\" or platform_system != \"Darwin\" or platform_machine != \"ppc64le\" and platform_machine != \"s390x\" and platform_machine != \"arm64\" or python_version >= \"3.9\")" files = [ {file = "jaraco.functools-4.1.0-py3-none-any.whl", hash = "sha256:ad159f13428bc4acbf5541ad6dec511f91573b90fba04df61dafa2a1231cf649"}, {file = "jaraco_functools-4.1.0.tar.gz", hash = "sha256:70f7e0e2ae076498e212562325e805204fc092d7b4c17e0e86c959e249701a9d"}, @@ -1495,6 +1495,8 @@ version = "0.19.2" description = "An autocompletion tool for Python that can be used for text editors." optional = false python-versions = ">=3.6" +groups = ["dev", "docs"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "jedi-0.19.2-py2.py3-none-any.whl", hash = "sha256:a8ef22bde8490f57fe5c7681a3c83cb58874daf72b4784de3cce5b6ef6edb5b9"}, {file = "jedi-0.19.2.tar.gz", hash = "sha256:4770dc3de41bde3966b02eb84fbcf557fb33cce26ad23da12c742fb50ecb11f0"}, @@ -1514,6 +1516,8 @@ version = "0.8.0" description = "Low-level, pure Python DBus protocol wrapper." optional = false python-versions = ">=3.7" +groups = ["build"] +markers = "sys_platform == \"linux\" and (platform_machine != \"ppc64le\" and platform_machine != \"s390x\" or python_version <= \"3.11\") and (python_version <= \"3.11\" or python_version >= \"3.12\") and (platform_machine == \"arm64\" or platform_machine == \"aarch64\" or platform_machine != \"ppc64le\" and platform_machine != \"s390x\") and (platform_machine == \"arm64\" or platform_machine == \"aarch64\" or platform_system != \"Linux\" or platform_machine != \"ppc64le\" and platform_machine != \"s390x\" and platform_machine != \"aarch64\" or python_version >= \"3.9\") and (platform_machine == \"arm64\" or platform_machine == \"aarch64\" or platform_system != \"Darwin\" or platform_machine != \"ppc64le\" and platform_machine != \"s390x\" and platform_machine != \"arm64\" or python_version >= \"3.9\")" files = [ {file = "jeepney-0.8.0-py3-none-any.whl", hash = "sha256:c0a454ad016ca575060802ee4d590dd912e35c122fa04e70306de3d076cce755"}, {file = "jeepney-0.8.0.tar.gz", hash = "sha256:5efe48d255973902f6badc3ce55e2aa6c5c3b3bc642059ef3a91247bcfcc5806"}, @@ -1525,13 +1529,15 @@ trio = ["async_generator", "trio"] [[package]] name = "jinja2" -version = "3.1.4" +version = "3.1.5" description = "A very fast and expressive template engine." optional = false python-versions = ">=3.7" +groups = ["dev", "docs"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ - {file = "jinja2-3.1.4-py3-none-any.whl", hash = "sha256:bc5dd2abb727a5319567b7a813e6a2e7318c39f4f487cfe6c89c6f9c7d25197d"}, - {file = "jinja2-3.1.4.tar.gz", hash = "sha256:4a3aee7acbbe7303aede8e9648d13b8bf88a429282aa6122a993f0ac800cb369"}, + {file = "jinja2-3.1.5-py3-none-any.whl", hash = "sha256:aba0f4dc9ed8013c424088f68a5c226f7d6097ed89b246d7749c2ec4175c6adb"}, + {file = "jinja2-3.1.5.tar.gz", hash = "sha256:8fefff8dc3034e27bb80d67c671eb8a9bc424c0ef4c0826edbff304cceff43bb"}, ] [package.dependencies] @@ -1546,6 +1552,8 @@ version = "0.10.0" description = "A Python implementation of the JSON5 data format." optional = false python-versions = ">=3.8.0" +groups = ["dev"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "json5-0.10.0-py3-none-any.whl", hash = "sha256:19b23410220a7271e8377f81ba8aacba2fdd56947fbb137ee5977cbe1f5e8dfa"}, {file = "json5-0.10.0.tar.gz", hash = "sha256:e66941c8f0a02026943c52c2eb34ebeb2a6f819a0be05920a6f5243cd30fd559"}, @@ -1560,6 +1568,8 @@ version = "3.0.0" description = "Identify specific nodes in a JSON document (RFC 6901)" optional = false python-versions = ">=3.7" +groups = ["dev"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"}, {file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"}, @@ -1571,6 +1581,8 @@ version = "4.23.0" description = "An implementation of JSON Schema validation for Python" optional = false python-versions = ">=3.8" +groups = ["dev", "docs"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "jsonschema-4.23.0-py3-none-any.whl", hash = "sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566"}, {file = "jsonschema-4.23.0.tar.gz", hash = "sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4"}, @@ -1602,6 +1614,8 @@ version = "2023.12.1" description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry" optional = false python-versions = ">=3.8" +groups = ["dev", "docs"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "jsonschema_specifications-2023.12.1-py3-none-any.whl", hash = "sha256:87e4fdf3a94858b8a2ba2778d9ba57d8a9cafca7c7489c46ba0d30a8bc6a9c3c"}, {file = "jsonschema_specifications-2023.12.1.tar.gz", hash = "sha256:48a76787b3e70f5ed53f1160d2b81f586e4ca6d1548c5de7085d1682674764cc"}, @@ -1617,6 +1631,8 @@ version = "8.6.3" description = "Jupyter protocol implementation and client libraries" optional = false python-versions = ">=3.8" +groups = ["dev", "docs"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "jupyter_client-8.6.3-py3-none-any.whl", hash = "sha256:e8a19cc986cc45905ac3362915f410f3af85424b4c0905e94fa5f2cb08e8f23f"}, {file = "jupyter_client-8.6.3.tar.gz", hash = "sha256:35b3a0947c4a6e9d589eb97d7d4cd5e90f910ee73101611f01283732bd6d9419"}, @@ -1640,6 +1656,8 @@ version = "5.7.2" description = "Jupyter core package. A base package on which Jupyter projects rely." optional = false python-versions = ">=3.8" +groups = ["dev", "docs"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "jupyter_core-5.7.2-py3-none-any.whl", hash = "sha256:4f7315d2f6b4bcf2e3e7cb6e46772eba760ae459cd1f59d29eb57b0a01bd7409"}, {file = "jupyter_core-5.7.2.tar.gz", hash = "sha256:aa5f8d32bbf6b431ac830496da7392035d6f61b4f54872f15c4bd2a9c3f536d9"}, @@ -1660,6 +1678,8 @@ version = "0.10.0" description = "Jupyter Event System library" optional = false python-versions = ">=3.8" +groups = ["dev"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "jupyter_events-0.10.0-py3-none-any.whl", hash = "sha256:4b72130875e59d57716d327ea70d3ebc3af1944d3717e5a498b8a06c6c159960"}, {file = "jupyter_events-0.10.0.tar.gz", hash = "sha256:670b8229d3cc882ec782144ed22e0d29e1c2d639263f92ca8383e66682845e22"}, @@ -1685,6 +1705,8 @@ version = "2.2.5" description = "Multi-Language Server WebSocket proxy for Jupyter Notebook/Lab server" optional = false python-versions = ">=3.8" +groups = ["dev"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "jupyter-lsp-2.2.5.tar.gz", hash = "sha256:793147a05ad446f809fd53ef1cd19a9f5256fd0a2d6b7ce943a982cb4f545001"}, {file = "jupyter_lsp-2.2.5-py3-none-any.whl", hash = "sha256:45fbddbd505f3fbfb0b6cb2f1bc5e15e83ab7c79cd6e89416b248cb3c00c11da"}, @@ -1700,6 +1722,8 @@ version = "2.14.2" description = "The backendβ€”i.e. core services, APIs, and REST endpointsβ€”to Jupyter web applications." optional = false python-versions = ">=3.8" +groups = ["dev"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "jupyter_server-2.14.2-py3-none-any.whl", hash = "sha256:47ff506127c2f7851a17bf4713434208fc490955d0e8632e95014a9a9afbeefd"}, {file = "jupyter_server-2.14.2.tar.gz", hash = "sha256:66095021aa9638ced276c248b1d81862e4c50f292d575920bbe960de1c56b12b"}, @@ -1736,6 +1760,8 @@ version = "0.5.3" description = "A Jupyter Server Extension Providing Terminals." optional = false python-versions = ">=3.8" +groups = ["dev"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "jupyter_server_terminals-0.5.3-py3-none-any.whl", hash = "sha256:41ee0d7dc0ebf2809c668e0fc726dfaf258fcd3e769568996ca731b6194ae9aa"}, {file = "jupyter_server_terminals-0.5.3.tar.gz", hash = "sha256:5ae0295167220e9ace0edcfdb212afd2b01ee8d179fe6f23c899590e9b8a5269"}, @@ -1751,13 +1777,15 @@ test = ["jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-jupyter[server] (> [[package]] name = "jupyterlab" -version = "4.3.3" +version = "4.3.4" description = "JupyterLab computational environment" optional = false python-versions = ">=3.8" +groups = ["dev"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ - 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python-versions = ">=3.7" +groups = ["build"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "pyproject_hooks-1.2.0-py3-none-any.whl", hash = "sha256:9e5c6bfa8dcc30091c74b0cf803c81fdd29d94f01992a7707bc97babb1141913"}, {file = "pyproject_hooks-1.2.0.tar.gz", hash = "sha256:1e859bd5c40fae9448642dd871adf459e5e2084186e8d2c2a79a824c970da1f8"}, @@ -3620,6 +3656,8 @@ version = "8.3.4" description = "pytest: simple powerful testing with Python" optional = false python-versions = ">=3.8" +groups = ["dev"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "pytest-8.3.4-py3-none-any.whl", hash = "sha256:50e16d954148559c9a74109af1eaf0c945ba2d8f30f0a3d3335edde19788b6f6"}, {file = "pytest-8.3.4.tar.gz", hash = "sha256:965370d062bce11e73868e0335abac31b4d3de0e82f4007408d242b4f8610761"}, @@ -3636,40 +3674,14 @@ tomli = {version = ">=1", markers = "python_version < \"3.11\""} [package.extras] dev = ["argcomplete", "attrs 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optional = false python-versions = ">=3.6" +groups = ["build"] +markers = "sys_platform == \"win32\" and (platform_machine != \"ppc64le\" and platform_machine != \"s390x\" or python_version <= \"3.11\") and (python_version <= \"3.11\" or python_version >= \"3.12\") and (platform_machine == \"arm64\" or platform_machine == \"aarch64\" or platform_machine != \"ppc64le\" and platform_machine != \"s390x\") and (platform_machine == \"arm64\" or platform_machine == \"aarch64\" or platform_system != \"Linux\" or platform_machine != \"ppc64le\" and platform_machine != \"s390x\" and platform_machine != \"aarch64\" or python_version >= \"3.9\") and (platform_machine == \"arm64\" or platform_machine == \"aarch64\" or platform_system != \"Darwin\" or platform_machine != \"ppc64le\" and platform_machine != \"s390x\" and platform_machine != \"arm64\" or python_version >= \"3.9\")" files = [ {file = "pywin32-ctypes-0.2.3.tar.gz", hash = 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" optional = false python-versions = ">=3.6" +groups = ["docs"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "pyyaml_env_tag-0.1-py3-none-any.whl", hash = "sha256:af31106dec8a4d68c60207c1886031cbf839b68aa7abccdb19868200532c2069"}, {file = "pyyaml_env_tag-0.1.tar.gz", hash = "sha256:70092675bda14fdec33b31ba77e7543de9ddc88f2e5b99160396572d11525bdb"}, @@ -3841,6 +3867,8 @@ version = "26.2.0" description = "Python bindings for 0MQ" optional = false python-versions = ">=3.7" +groups = ["dev", "docs"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "pyzmq-26.2.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:ddf33d97d2f52d89f6e6e7ae66ee35a4d9ca6f36eda89c24591b0c40205a3629"}, {file = "pyzmq-26.2.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:dacd995031a01d16eec825bf30802fceb2c3791ef24bcce48fa98ce40918c27b"}, @@ -3962,6 +3990,8 @@ version = "43.0" description = "readme_renderer is a library for 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configuration system" optional = false python-versions = ">=3.8" +groups = ["dev", "docs"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f"}, {file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"}, @@ -4738,6 +4802,8 @@ version = "6.0.1" description = "Collection of utilities for publishing packages on PyPI" optional = false python-versions = ">=3.8" +groups = ["build"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "twine-6.0.1-py3-none-any.whl", hash = "sha256:9c6025b203b51521d53e200f4a08b116dee7500a38591668c6a6033117bdc218"}, {file = "twine-6.0.1.tar.gz", hash = "sha256:36158b09df5406e1c9c1fb8edb24fc2be387709443e7376689b938531582ee27"}, @@ -4758,98 +4824,27 @@ urllib3 = ">=1.26.0" [package.extras] keyring = ["keyring (>=15.1)"] 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stubs for tqdm" -optional = false -python-versions = ">=3.8" -files = [ - {file = "types-tqdm-4.67.0.20241119.tar.gz", hash = "sha256:1769e0e94d5e6d8fa814965f9cf3d9928376dd15dabcbcb784bb8769081092b4"}, - {file = "types_tqdm-4.67.0.20241119-py3-none-any.whl", hash = "sha256:a18d4eb62db0d35c52707ae13d821b5a57970755273ecb56e133ccc0ac7e7c79"}, -] - -[package.dependencies] -types-requests = "*" - [[package]] name = "typing-extensions" version = "4.12.2" description = "Backported and Experimental Type Hints for Python 3.8+" optional = false python-versions = ">=3.8" +groups = ["build", "dev", "docs"] +markers = "python_version < \"3.11\"" files = [ {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"}, {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"}, @@ -4861,6 +4856,8 @@ version = "2024.2" description = "Provider of IANA time zone data" optional = true python-versions = ">=2" +groups = ["main"] +markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"metrics\"" files = [ {file = "tzdata-2024.2-py2.py3-none-any.whl", hash = "sha256:a48093786cdcde33cad18c2555e8532f34422074448fbc874186f0abd79565cd"}, {file = "tzdata-2024.2.tar.gz", hash = "sha256:7d85cc416e9382e69095b7bdf4afd9e3880418a2413feec7069d533d6b4e31cc"}, @@ -4872,6 +4869,8 @@ version = "1.3.0" description = "RFC 6570 URI Template Processor" optional = false python-versions = ">=3.7" +groups = ["dev"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "uri-template-1.3.0.tar.gz", hash = "sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7"}, {file = "uri_template-1.3.0-py3-none-any.whl", hash = "sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363"}, @@ -4886,6 +4885,8 @@ version = "2.2.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.8" +groups = ["main", "build", "dev", "docs"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"}, {file = "urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"}, @@ -4903,6 +4904,8 @@ version = "0.1.0" description = "Flexible version handling" optional = false python-versions = "*" +groups = ["docs"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "verspec-0.1.0-py3-none-any.whl", hash = "sha256:741877d5633cc9464c45a469ae2a31e801e6dbbaa85b9675d481cda100f11c31"}, {file = "verspec-0.1.0.tar.gz", hash = "sha256:c4504ca697b2056cdb4bfa7121461f5a0e81809255b41c03dda4ba823637c01e"}, @@ -4913,13 +4916,15 @@ test = ["coverage", "flake8 (>=3.7)", "mypy", "pretend", "pytest"] [[package]] name = "virtualenv" -version = "20.28.0" +version = "20.28.1" description = "Virtual Python Environment builder" optional = false python-versions = ">=3.8" +groups = ["dev"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ - {file = "virtualenv-20.28.0-py3-none-any.whl", hash = "sha256:23eae1b4516ecd610481eda647f3a7c09aea295055337331bb4e6892ecce47b0"}, - {file = "virtualenv-20.28.0.tar.gz", hash = "sha256:2c9c3262bb8e7b87ea801d715fae4495e6032450c71d2309be9550e7364049aa"}, + {file = "virtualenv-20.28.1-py3-none-any.whl", hash = "sha256:412773c85d4dab0409b83ec36f7a6499e72eaf08c80e81e9576bca61831c71cb"}, + {file = "virtualenv-20.28.1.tar.gz", hash = "sha256:5d34ab240fdb5d21549b76f9e8ff3af28252f5499fb6d6f031adac4e5a8c5329"}, ] [package.dependencies] @@ -4937,6 +4942,8 @@ version = "4.0.2" description = "Filesystem events monitoring" optional = false python-versions = ">=3.8" +groups = ["docs"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "watchdog-4.0.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ede7f010f2239b97cc79e6cb3c249e72962404ae3865860855d5cbe708b0fd22"}, {file = "watchdog-4.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a2cffa171445b0efa0726c561eca9a27d00a1f2b83846dbd5a4f639c4f8ca8e1"}, @@ -4984,6 +4991,8 @@ version = "0.2.13" description = "Measures the displayed width of unicode strings in a terminal" optional = false python-versions = "*" +groups = ["dev", "docs"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"}, {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"}, @@ -4995,6 +5004,8 @@ version = "24.8.0" description = "A library for working with the color formats defined by HTML and CSS." optional = false python-versions = ">=3.8" +groups = ["dev"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "webcolors-24.8.0-py3-none-any.whl", hash = "sha256:fc4c3b59358ada164552084a8ebee637c221e4059267d0f8325b3b560f6c7f0a"}, {file = "webcolors-24.8.0.tar.gz", hash = "sha256:08b07af286a01bcd30d583a7acadf629583d1f79bfef27dd2c2c5c263817277d"}, @@ -5010,6 +5021,8 @@ version = "0.5.1" description = "Character encoding aliases for legacy web content" optional = false python-versions = "*" +groups = ["dev", "docs"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"}, {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"}, @@ -5021,6 +5034,8 @@ version = "1.8.0" description = "WebSocket client for Python with low level API options" optional = false python-versions = ">=3.8" +groups = ["dev"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "websocket_client-1.8.0-py3-none-any.whl", hash = "sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526"}, {file = "websocket_client-1.8.0.tar.gz", hash = "sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da"}, @@ -5037,6 +5052,8 @@ version = "0.45.1" description = "A built-package format for Python" optional = false python-versions = ">=3.8" +groups = ["build", "docs"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "wheel-0.45.1-py3-none-any.whl", hash = "sha256:708e7481cc80179af0e556bbf0cc00b8444c7321e2700b8d8580231d13017248"}, {file = "wheel-0.45.1.tar.gz", hash = "sha256:661e1abd9198507b1409a20c02106d9670b2576e916d58f520316666abca6729"}, @@ -5051,6 +5068,8 @@ version = "4.0.13" description = "Jupyter interactive widgets for Jupyter Notebook" optional = false python-versions = ">=3.7" +groups = ["dev"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "widgetsnbextension-4.0.13-py3-none-any.whl", hash = "sha256:74b2692e8500525cc38c2b877236ba51d34541e6385eeed5aec15a70f88a6c71"}, {file = "widgetsnbextension-4.0.13.tar.gz", hash = "sha256:ffcb67bc9febd10234a362795f643927f4e0c05d9342c727b65d2384f8feacb6"}, @@ -5062,10 +5081,12 @@ version = "3.20.2" description = "Backport of pathlib-compatible object wrapper for zip files" optional = false python-versions = ">=3.8" +groups = ["main", "build", "dev", "docs"] files = [ {file = "zipp-3.20.2-py3-none-any.whl", hash = "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350"}, {file = "zipp-3.20.2.tar.gz", hash = "sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29"}, ] +markers = {main = "python_version < \"3.10\"", build = "python_version <= \"3.11\" and (python_full_version < \"3.10.2\" or platform_machine != \"ppc64le\" and platform_machine != \"s390x\")", dev = "python_version < \"3.10\"", docs = "python_version <= \"3.11\" or python_version >= \"3.12\""} [package.extras] check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"] @@ -5079,6 +5100,6 @@ type = ["pytest-mypy"] metrics = ["pandas", "pandas"] [metadata] -lock-version = "2.0" -python-versions = "^3.8" -content-hash = "621eea8ec013d7be2bb4b7d7093f81e57b74b6e668379de34488e34bcd88ab87" +lock-version = "2.1" +python-versions = ">=3.8" +content-hash = "d47160f903210fd29e15d3eb43b663f0c40004b1a5853395de597b68f9bb56ab" diff --git a/pyproject.toml b/pyproject.toml index ae2521561..019ea3d8c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,18 +1,16 @@ -[tool.poetry] +[project] name = "supervision" -version = "0.25.1" description = "A set of easy-to-use utils that will come in handy in any Computer Vision project" -authors = ["Piotr Skalski "] +license = { text = "MIT" } +version = "0.26.0rc3" +readme = "README.md" +requires-python = ">=3.8" +authors = [ + { name = "Piotr Skalski", email = "piotr.skalski92@gmail.com" } +] maintainers = [ - "Piotr Skalski ", - "Linas Kondrackis ", + { name = "Piotr Skalski", email = "piotr.skalski92@gmail.com" }, ] -readme = "README.md" -license = "MIT" -packages = [{ include = "supervision" }, { include = "supervision/py.typed" }] -homepage = "https://github.com/roboflow/supervision" -repository = "https://github.com/roboflow/supervision" -documentation = "https://supervision.roboflow.com/latest/" keywords = [ "machine-learning", "deep-learning", @@ -22,7 +20,6 @@ keywords = [ "AI", "Roboflow", ] - classifiers = [ 'Development Status :: 4 - Beta', 'Intended Audience :: Developers', @@ -40,106 +37,62 @@ classifiers = [ 'Operating System :: POSIX :: Linux', 'Operating System :: MacOS', ] - -[tool.poetry.dependencies] -python = "^3.8" - -# For Python versions 3.13 and above, use numpy versions 2.1.0, -# required for poetry to not fail. -numpy = [ - { version = ">=1.21.2", python = "<3.13" }, - { version = ">=2.1.0", python = ">=3.13" }, -] - -scipy = [ - { version = "1.10.0", python = "<3.9" }, - { version = "^1.10.0", python = ">=3.9" }, - { version = ">=1.14.1", python = ">=3.13" }, - +dependencies = [ + "numpy>=1.21.2,<1.26.0; python_version < '3.12'", + "numpy>=1.26.0,<2.1.0; python_version >= '3.12' and python_version < '3.13'", + "numpy>=2.1.0; python_version >= '3.13'", + "scipy (==1.10.0); python_version < '3.9'", + "scipy (>=1.10.0,<1.14.1) ; python_version >= '3.9' and python_version < '3.13'", + "scipy (>=1.14.1); python_version >= '3.13'", + "matplotlib>=3.6.0", + "pyyaml>=5.3", + "defusedxml>=0.7.1", + "pillow>=9.4", + "requests>=2.26.0", + "tqdm>=4.62.3", + "opencv-python>=4.5.5.64" ] -# Matplotlib sub-dependency -# The 'contourpy' package is required by Matplotlib for contour plotting. -# We need to ensure compatibility with both Python 3.8 and Python 3.13. -# -# For Python 3.8 and above, we use version 1.0.7 or higher, as it is the lowest major version that supports Python 3.8. -# For Python 3.13 and above, we use version 1.3.0 or higher, as it is the first version that explicitly supports Python 3.13. -contourpy = [ - { version = ">=1.0.7", python = ">=3.8,<3.13" }, - { version = ">=1.3.0", python = ">=3.13" }, -] +[project.urls] +Homepage = "https://github.com/roboflow/supervision" +Repository = "https://github.com/roboflow/supervision" +Documentation = "https://supervision.roboflow.com/latest/" -matplotlib = [ - { version = ">=3.6.0,<3.8.0", python = "3.8" }, - { version = ">=3.6.0", python = ">=3.9" }, - { version = ">=3.7.3", python = ">=3.12" }, - { version = ">=3.9.2", python = ">=3.13" }, +[project.optional-dependencies] +metrics = [ + "pandas>=2.0.0; python_version < '3.13'", + "pandas>=2.2.3; python_version >= '3.13'" ] +[tool.poetry] +# Keep version here since it's dynamic +packages = [{ include = "supervision" }, { include = "supervision/py.typed" }] -pyyaml = ">=5.3" -defusedxml = "^0.7.1" -pillow = ">=9.4" -requests = ">=2.26.0" -tqdm = ">=4.62.3" -# pandas: picked lowest major version that supports Python 3.8 -# pandas 2.2.3 has been released with support for Python 3.13 -pandas = [ - { version = ">=2.0.0", python = "<3.13", optional = true }, - { version = ">=2.2.3", python = ">=3.13", optional = true }, -] - -opencv-python = ">=4.5.5.64" - -[tool.poetry.extras] -metrics = ["pandas"] - -[tool.poetry.group.test.dependencies] -pytest = ">=7.2.2,<9.0.0" -pytest-md = "^0.2.0" -pytest-emoji = "^0.2.0" [tool.poetry.group.dev.dependencies] -twine = ">=5.1.1,<7.0.0" pytest = ">=7.2.2,<9.0.0" -wheel = ">=0.40,<0.46" -build = ">=0.10,<1.3" -ruff = ">=0.1.0" -mypy = "^1.4.1" -pre-commit = "^3.3.3" -tox = "^4.11.4" +tox = ">=4.11.4" notebook = ">=6.5.3,<8.0.0" -ipywidgets = "^8.1.1" -jupytext = "^1.16.1" -nbconvert = "^7.14.2" -docutils = [ - { version = "^0.20.1", python = "<3.9" }, - { version = "^0.21.1", python = ">=3.9" }, -] +ipywidgets = ">=8.1.1" +jupytext = ">=1.16.1" +nbconvert = ">=7.14.2" +docutils = "!=0.21" [tool.poetry.group.docs.dependencies] mkdocs-material = { extras = ["imaging"], version = "^9.5.5" } mkdocstrings = ">=0.25.2,<0.27.0" -mkdocstrings-python = "^1.10.9" -mike = "^2.0.0" +mkdocstrings-python = ">=1.10.9" +mike = ">=2.0.0" # For Documentation Development use Python 3.10 or above # Use Latest mkdocs-jupyter min 0.24.6 for Jupyter Notebook Theme support -mkdocs-jupyter = "^0.24.3" -mkdocs-git-committers-plugin-2 = "^2.4.1" -mkdocs-git-revision-date-localized-plugin = "^1.2.4" - -[tool.poetry.group.typecheck] -optional = true - -[tool.poetry.group.typecheck.dependencies] -types-pyyaml = "^6.0.12.20240808" -types-cffi = "^1.16.0.20240331" -types-requests = "^2.32.0.20240712" -types-tqdm = "^4.66.0.20240417" -pandas-stubs = ">=2.0.0.230412" +mkdocs-jupyter = ">=0.24.3" +mkdocs-git-committers-plugin-2 = { version = ">=2.4.1", python = ">=3.8,<4" } +mkdocs-git-revision-date-localized-plugin = ">=1.2.4" [tool.poetry.group.build.dependencies] twine = ">=5.1.1,<7.0.0" +wheel = ">=0.40,<0.46" +build = ">=0.10,<1.3" [tool.bandit] target = ["test", "supervision"] diff --git a/supervision/__init__.py b/supervision/__init__.py index 746b2f67d..2b2a0082d 100644 --- a/supervision/__init__.py +++ b/supervision/__init__.py @@ -14,6 +14,7 @@ BoxCornerAnnotator, CircleAnnotator, ColorAnnotator, + ComparisonAnnotator, CropAnnotator, DotAnnotator, EllipseAnnotator, @@ -76,6 +77,7 @@ scale_boxes, xcycwh_to_xyxy, xywh_to_xyxy, + xyxy_to_polygons, ) from supervision.draw.color import Color, ColorPalette from supervision.draw.utils import ( @@ -118,3 +120,110 @@ get_video_frames_generator, process_video, ) + +__all__ = [ + "LMM", + "BackgroundOverlayAnnotator", + "BaseDataset", + "BlurAnnotator", + "BoundingBoxAnnotator", + "BoxAnnotator", + "BoxCornerAnnotator", + "ByteTrack", + "CSVSink", + "CircleAnnotator", + "ClassificationDataset", + "Classifications", + "Color", + "ColorAnnotator", + "ColorLookup", + "ColorPalette", + "ComparisonAnnotator", + "ConfusionMatrix", + "CropAnnotator", + "DetectionDataset", + "Detections", + "DetectionsSmoother", + "DotAnnotator", + "EdgeAnnotator", + "EllipseAnnotator", + "FPSMonitor", + "HaloAnnotator", + "HeatMapAnnotator", + "IconAnnotator", + "ImageSink", + "InferenceSlicer", + "JSONSink", + "KeyPoints", + "LabelAnnotator", + "LineZone", + "LineZoneAnnotator", + "LineZoneAnnotatorMulticlass", + "MaskAnnotator", + "MeanAveragePrecision", + "OrientedBoxAnnotator", + "OverlapFilter", + "PercentageBarAnnotator", + "PixelateAnnotator", + "Point", + "PolygonAnnotator", + "PolygonZone", + "PolygonZoneAnnotator", + "Position", + "Rect", + "RichLabelAnnotator", + "RoundBoxAnnotator", + "TraceAnnotator", + "TriangleAnnotator", + "VertexAnnotator", + "VertexLabelAnnotator", + "VideoInfo", + "VideoSink", + "box_iou_batch", + "box_non_max_merge", + "box_non_max_suppression", + "calculate_masks_centroids", + "calculate_optimal_line_thickness", + "calculate_optimal_text_scale", + "clip_boxes", + "contains_holes", + "contains_multiple_segments", + "create_tiles", + "crop_image", + "cv2_to_pillow", + "draw_filled_polygon", + "draw_filled_rectangle", + "draw_image", + "draw_line", + "draw_polygon", + "draw_rectangle", + "draw_text", + "filter_polygons_by_area", + "get_polygon_center", + "get_video_frames_generator", + "letterbox_image", + "list_files_with_extensions", + "mask_iou_batch", + "mask_non_max_suppression", + "mask_to_polygons", + "mask_to_rle", + "mask_to_xyxy", + "move_boxes", + "move_masks", + "oriented_box_iou_batch", + "overlay_image", + "pad_boxes", + "pillow_to_cv2", + "plot_image", + "plot_images_grid", + "polygon_to_mask", + "polygon_to_xyxy", + "process_video", + "resize_image", + "rle_to_mask", + "scale_boxes", + "scale_image", + "xcycwh_to_xyxy", + "xywh_to_xyxy", + "xyxy_to_polygons", +] diff --git a/supervision/annotators/core.py b/supervision/annotators/core.py index 02ab47d6f..a2b2ed565 100644 --- a/supervision/annotators/core.py +++ b/supervision/annotators/core.py @@ -16,10 +16,16 @@ ) from supervision.config import CLASS_NAME_DATA_FIELD, ORIENTED_BOX_COORDINATES from supervision.detection.core import Detections -from supervision.detection.utils import clip_boxes, mask_to_polygons, spread_out_boxes +from supervision.detection.utils import ( + clip_boxes, + mask_to_polygons, + polygon_to_mask, + spread_out_boxes, + xyxy_to_polygons, +) from supervision.draw.color import Color, ColorPalette -from supervision.draw.utils import draw_polygon -from supervision.geometry.core import Position +from supervision.draw.utils import draw_polygon, draw_rounded_rectangle, draw_text +from supervision.geometry.core import Point, Position, Rect from supervision.utils.conversion import ( ensure_cv2_image_for_annotation, ensure_pil_image_for_annotation, @@ -2527,6 +2533,9 @@ def annotate( detections=detections ) ``` + + ![crop-annotator-example](https://media.roboflow.com/ + supervision-annotator-examples/crop-annotator-example.png) """ assert isinstance(scene, np.ndarray) crops = [ @@ -2683,3 +2692,261 @@ def annotate(self, scene: ImageType, detections: Detections) -> ImageType: np.copyto(scene, colored_mask) return scene + + +class ComparisonAnnotator: + """ + Highlights the differences between two sets of detections. + Useful for comparing results from two different models, or the difference + between a ground truth and a prediction. + + If present, uses the oriented bounding box data. + Otherwise, if present, uses a mask. + Otherwise, uses the bounding box data. + """ + + def __init__( + self, + color_1: Color = Color.RED, + color_2: Color = Color.GREEN, + color_overlap: Color = Color.BLUE, + *, + opacity: float = 0.75, + label_1: str = "", + label_2: str = "", + label_overlap: str = "", + label_scale: float = 1.0, + ): + """ + Args: + color_1 (Color): Color of areas only present in the first set of + detections. + color_2 (Color): Color of areas only present in the second set of + detections. + color_overlap (Color): Color of areas present in both sets of detections. + opacity (float): Annotator opacity, from `0` to `1`. + label_1 (str): Label for the first set of detections. + label_2 (str): Label for the second set of detections. + label_overlap (str): Label for areas present in both sets of detections. + label_scale (float): Controls how large the labels are. + """ + + self.color_1 = color_1 + self.color_2 = color_2 + self.color_overlap = color_overlap + + self.opacity = opacity + self.label_1 = label_1 + self.label_2 = label_2 + self.label_overlap = label_overlap + self.label_scale = label_scale + self.text_thickness = int(self.label_scale + 1.2) + + @ensure_cv2_image_for_annotation + def annotate( + self, scene: ImageType, detections_1: Detections, detections_2: Detections + ) -> ImageType: + """ + Highlights the differences between two sets of detections. + + Args: + scene (ImageType): The image where detections will be drawn. + `ImageType` is a flexible type, accepting either `numpy.ndarray` + or `PIL.Image.Image`. + detections_1 (Detections): The first set of detections or predictions. + detections_2 (Detections): The second set of detections to compare or + ground truth. + + Returns: + The annotated image. + + Example: + ```python + import supervision as sv + + image = ... + detections_1 = sv.Detections(...) + detections_2 = sv.Detections(...) + + comparison_annotator = sv.ComparisonAnnotator() + annotated_frame = comparison_annotator.annotate( + scene=image.copy(), + detections_1=detections_1, + detections_2=detections_2 + ) + ``` + + ![comparison-annotator-example](https://media.roboflow.com/ + supervision-annotator-examples/comparison-annotator-example.png) + """ + assert isinstance(scene, np.ndarray) + if detections_1.is_empty() and detections_2.is_empty(): + return scene + + use_obb = self._use_obb(detections_1, detections_2) + use_mask = self._use_mask(detections_1, detections_2) + + if use_obb: + mask_1 = self._mask_from_obb(scene, detections_1) + mask_2 = self._mask_from_obb(scene, detections_2) + + elif use_mask: + mask_1 = self._mask_from_mask(scene, detections_1) + mask_2 = self._mask_from_mask(scene, detections_2) + + else: + mask_1 = self._mask_from_xyxy(scene, detections_1) + mask_2 = self._mask_from_xyxy(scene, detections_2) + + mask_overlap = mask_1 & mask_2 + mask_1 = mask_1 & ~mask_overlap + mask_2 = mask_2 & ~mask_overlap + + color_layer = np.zeros_like(scene, dtype=np.uint8) + color_layer[mask_overlap] = self.color_overlap.as_bgr() + color_layer[mask_1] = self.color_1.as_bgr() + color_layer[mask_2] = self.color_2.as_bgr() + + scene[mask_overlap] = (1 - self.opacity) * scene[ + mask_overlap + ] + self.opacity * color_layer[mask_overlap] + scene[mask_1] = (1 - self.opacity) * scene[mask_1] + self.opacity * color_layer[ + mask_1 + ] + scene[mask_2] = (1 - self.opacity) * scene[mask_2] + self.opacity * color_layer[ + mask_2 + ] + + self._draw_labels(scene) + + return scene + + @staticmethod + def _use_obb(detections_1: Detections, detections_2: Detections) -> bool: + assert not detections_1.is_empty() or not detections_2.is_empty() + is_obb_1 = ORIENTED_BOX_COORDINATES in detections_1.data + is_obb_2 = ORIENTED_BOX_COORDINATES in detections_2.data + return ( + (is_obb_1 and is_obb_2) + or (is_obb_1 and detections_2.is_empty()) + or (detections_1.is_empty() and is_obb_2) + ) + + @staticmethod + def _use_mask(detections_1: Detections, detections_2: Detections) -> bool: + assert not detections_1.is_empty() or not detections_2.is_empty() + is_mask_1 = detections_1.mask is not None + is_mask_2 = detections_2.mask is not None + return ( + (is_mask_1 and is_mask_2) + or (is_mask_1 and detections_2.is_empty()) + or (detections_1.is_empty() and is_mask_2) + ) + + @staticmethod + def _mask_from_xyxy(scene: np.ndarray, detections: Detections) -> np.ndarray: + mask = np.zeros(scene.shape[:2], dtype=np.bool_) + if detections.is_empty(): + return mask + + resolution_wh = scene.shape[1], scene.shape[0] + polygons = xyxy_to_polygons(detections.xyxy) + + for polygon in polygons: + polygon_mask = polygon_to_mask(polygon, resolution_wh=resolution_wh) + mask |= polygon_mask.astype(np.bool_) + return mask + + @staticmethod + def _mask_from_obb(scene: np.ndarray, detections: Detections) -> np.ndarray: + mask = np.zeros(scene.shape[:2], dtype=np.bool_) + if detections.is_empty(): + return mask + + resolution_wh = scene.shape[1], scene.shape[0] + + for polygon in detections.data[ORIENTED_BOX_COORDINATES]: + polygon_mask = polygon_to_mask(polygon, resolution_wh=resolution_wh) + mask |= polygon_mask.astype(np.bool_) + return mask + + @staticmethod + def _mask_from_mask(scene: np.ndarray, detections: Detections) -> np.ndarray: + mask = np.zeros(scene.shape[:2], dtype=np.bool_) + if detections.is_empty(): + return mask + assert detections.mask is not None + + for detections_mask in detections.mask: + mask |= detections_mask.astype(np.bool_) + return mask + + def _draw_labels(self, scene: np.ndarray) -> None: + """ + Draw the labels, explaining what each color represents, with automatically + computed positions. + + Args: + scene (np.ndarray): The image where the labels will be drawn. + """ + margin = int(50 * self.label_scale) + gap = int(40 * self.label_scale) + y0 = int(50 * self.label_scale) + height = int(50 * self.label_scale) + + marker_size = int(20 * self.label_scale) + padding = int(10 * self.label_scale) + text_box_corner_radius = int(10 * self.label_scale) + marker_corner_radius = int(4 * self.label_scale) + text_scale = self.label_scale + + label_color_pairs = [ + (self.label_1, self.color_1), + (self.label_2, self.color_2), + (self.label_overlap, self.color_overlap), + ] + + x0 = margin + for text, color in label_color_pairs: + if not text: + continue + + (text_w, _) = cv2.getTextSize( + text=text, + fontFace=CV2_FONT, + fontScale=self.label_scale, + thickness=self.text_thickness, + )[0] + + width = text_w + marker_size + padding * 4 + center_x = x0 + width // 2 + center_y = y0 + height // 2 + + draw_rounded_rectangle( + scene=scene, + rect=Rect(x=x0, y=y0, width=width, height=height), + color=Color.WHITE, + border_radius=text_box_corner_radius, + ) + + draw_rounded_rectangle( + scene=scene, + rect=Rect( + x=x0 + padding, + y=center_y - marker_size / 2, + width=marker_size, + height=marker_size, + ), + color=color, + border_radius=marker_corner_radius, + ) + + draw_text( + scene, + text, + text_anchor=Point(x=center_x + marker_size, y=center_y), + text_scale=text_scale, + text_thickness=self.text_thickness, + ) + + x0 += width + gap diff --git a/supervision/assets/__init__.py b/supervision/assets/__init__.py index 3b76c5aba..4c48bab64 100644 --- a/supervision/assets/__init__.py +++ b/supervision/assets/__init__.py @@ -1,2 +1,4 @@ from supervision.assets.downloader import download_assets from supervision.assets.list import VideoAssets + +__all__ = ["VideoAssets", "download_assets"] diff --git a/supervision/assets/downloader.py b/supervision/assets/downloader.py index 8e86359a3..c8e3e56d5 100644 --- a/supervision/assets/downloader.py +++ b/supervision/assets/downloader.py @@ -4,19 +4,10 @@ from shutil import copyfileobj from typing import Union -from supervision.assets.list import VIDEO_ASSETS, VideoAssets +from requests import get +from tqdm.auto import tqdm -try: - from requests import get - from tqdm.auto import tqdm -except ImportError: - raise ValueError( - "\n" - "Please install requests and tqdm to download assets \n" - "or install supervision with assets \n" - "pip install supervision[assets] \n" - "\n" - ) +from supervision.assets.list import VIDEO_ASSETS, VideoAssets def is_md5_hash_matching(filename: str, original_md5_hash: str) -> bool: diff --git a/supervision/dataset/formats/yolo.py b/supervision/dataset/formats/yolo.py index 1f9033fc5..7e5a9d454 100644 --- a/supervision/dataset/formats/yolo.py +++ b/supervision/dataset/formats/yolo.py @@ -2,8 +2,8 @@ from pathlib import Path from typing import TYPE_CHECKING, Dict, List, Optional, Tuple -import cv2 import numpy as np +from PIL import Image from supervision.config import ORIENTED_BOX_COORDINATES from supervision.dataset.utils import approximate_mask_with_polygons @@ -153,7 +153,18 @@ def load_yolo_annotations( image_paths = [ str(path) for path in list_files_with_extensions( - directory=images_directory_path, extensions=["jpg", "jpeg", "png"] + directory=images_directory_path, + extensions=[ + "bmp", + "dng", + "jpg", + "jpeg", + "mpo", + "png", + "tif", + "tiff", + "webp", + ], ) ] @@ -167,10 +178,16 @@ def load_yolo_annotations( annotations[image_path] = Detections.empty() continue - image = cv2.imread(image_path) + # PIL is much faster than cv2 for checking image shape and mode: https://github.com/roboflow/supervision/issues/1554 + image = Image.open(image_path) lines = read_txt_file(file_path=annotation_path, skip_empty=True) - h, w, _ = image.shape + w, h = image.size resolution_wh = (w, h) + if image.mode not in ("RGB", "L"): + raise ValueError( + f"Images must be 'RGB' or 'grayscale', \ + but {image_path} mode is '{image.mode}'." + ) with_masks = _with_mask(lines=lines) with_masks = force_masks if force_masks else with_masks diff --git a/supervision/detection/core.py b/supervision/detection/core.py index 32753a30a..ca4ded1ff 100644 --- a/supervision/detection/core.py +++ b/supervision/detection/core.py @@ -1,6 +1,5 @@ from __future__ import annotations -from contextlib import suppress from dataclasses import dataclass, field from typing import Any, Dict, Iterator, List, Optional, Tuple, Union @@ -117,7 +116,7 @@ class simplifies data manipulation and filtering, providing a uniform API for xyxy (np.ndarray): An array of shape `(n, 4)` containing the bounding boxes coordinates in format `[x1, y1, x2, y2]` mask: (Optional[np.ndarray]): An array of shape - `(n, H, W)` containing the segmentation masks. + `(n, H, W)` containing the segmentation masks (`bool` data type). confidence (Optional[np.ndarray]): An array of shape `(n,)` containing the confidence scores of the detections. class_id (Optional[np.ndarray]): An array of shape @@ -606,8 +605,10 @@ def from_inference(cls, roboflow_result: Union[dict, Any]) -> Detections: detections = sv.Detections.from_inference(result) ``` """ - with suppress(AttributeError): + if hasattr(roboflow_result, "dict"): roboflow_result = roboflow_result.dict(exclude_none=True, by_alias=True) + elif hasattr(roboflow_result, "json"): + roboflow_result = roboflow_result.json() xyxy, confidence, class_id, masks, trackers, data = process_roboflow_result( roboflow_result=roboflow_result ) @@ -1026,16 +1027,16 @@ def merge(cls, detections_list: List[Detections]) -> Detections: detections_1 = sv.Detections( xyxy=np.array([[15, 15, 100, 100], [200, 200, 300, 300]]), class_id=np.array([1, 2]), - data={'feature_vector': np.array([0.1, 0.2)])} - ) + data={'feature_vector': np.array([0.1, 0.2])} + ) detections_2 = sv.Detections( xyxy=np.array([[30, 30, 120, 120]]), class_id=np.array([1]), - data={'feature_vector': [np.array([0.3])]} - ) + data={'feature_vector': np.array([0.3])} + ) - merged_detections = Detections.merge([detections_1, detections_2]) + merged_detections = sv.Detections.merge([detections_1, detections_2]) merged_detections.xyxy array([[ 15, 15, 100, 100], @@ -1201,6 +1202,8 @@ def __getitem__( """ if isinstance(index, str): return self.data.get(index) + if self.is_empty(): + return self if isinstance(index, int): index = [index] return Detections( diff --git a/supervision/detection/utils.py b/supervision/detection/utils.py index f6bcd33bc..0d5ec475e 100644 --- a/supervision/detection/utils.py +++ b/supervision/detection/utils.py @@ -11,6 +11,25 @@ MIN_POLYGON_POINT_COUNT = 3 +def xyxy_to_polygons(box: np.ndarray) -> np.ndarray: + """ + Convert an array of boxes to an array of polygons. + Retains the input datatype. + + Args: + box (np.ndarray): An array of boxes (N, 4), where each box is represented as a + list of four coordinates in the format `(x_min, y_min, x_max, y_max)`. + + Returns: + np.ndarray: An array of polygons (N, 4, 2), where each polygon is + represented as a list of four coordinates in the format `(x, y)`. + """ + polygon = np.zeros((box.shape[0], 4, 2), dtype=box.dtype) + polygon[:, :, 0] = box[:, [0, 2, 2, 0]] + polygon[:, :, 1] = box[:, [1, 1, 3, 3]] + return polygon + + def polygon_to_mask(polygon: np.ndarray, resolution_wh: Tuple[int, int]) -> np.ndarray: """Generate a mask from a polygon. @@ -701,25 +720,71 @@ def move_masks( masks (npt.NDArray[np.bool_]): A 3D array of binary masks corresponding to the predictions. Shape: `(N, H, W)`, where N is the number of predictions, and H, W are the dimensions of each mask. - offset (npt.NDArray[np.int32]): An array of shape `(2,)` containing non-negative - int values `[dx, dy]`. + offset (npt.NDArray[np.int32]): An array of shape `(2,)` containing int values + `[dx, dy]`. Supports both positive and negative values for bidirectional + movement. resolution_wh (Tuple[int, int]): The width and height of the desired mask resolution. Returns: (npt.NDArray[np.bool_]) repositioned masks, optionally padded to the specified shape. - """ - if offset[0] < 0 or offset[1] < 0: - raise ValueError(f"Offset values must be non-negative integers. Got: {offset}") + Examples: + ```python + import numpy as np + import supervision as sv + mask = np.array([[[False, False, False, False], + [False, True, True, False], + [False, True, True, False], + [False, False, False, False]]], dtype=bool) + + offset = np.array([1, 1]) + sv.move_masks(mask, offset, resolution_wh=(4, 4)) + # array([[[False, False, False, False], + # [False, False, False, False], + # [False, False, True, True], + # [False, False, True, True]]], dtype=bool) + + offset = np.array([-2, 2]) + sv.move_masks(mask, offset, resolution_wh=(4, 4)) + # array([[[False, False, False, False], + # [False, False, False, False], + # [False, False, False, False], + # [True, False, False, False]]], dtype=bool) + ``` + """ mask_array = np.full((masks.shape[0], resolution_wh[1], resolution_wh[0]), False) - mask_array[ - :, - offset[1] : masks.shape[1] + offset[1], - offset[0] : masks.shape[2] + offset[0], - ] = masks + + if offset[0] < 0: + source_x_start = -offset[0] + source_x_end = min(masks.shape[2], resolution_wh[0] - offset[0]) + destination_x_start = 0 + destination_x_end = min(resolution_wh[0], masks.shape[2] + offset[0]) + else: + source_x_start = 0 + source_x_end = min(masks.shape[2], resolution_wh[0] - offset[0]) + destination_x_start = offset[0] + destination_x_end = offset[0] + source_x_end - source_x_start + + if offset[1] < 0: + source_y_start = -offset[1] + source_y_end = min(masks.shape[1], resolution_wh[1] - offset[1]) + destination_y_start = 0 + destination_y_end = min(resolution_wh[1], masks.shape[1] + offset[1]) + else: + source_y_start = 0 + source_y_end = min(masks.shape[1], resolution_wh[1] - offset[1]) + destination_y_start = offset[1] + destination_y_end = offset[1] + source_y_end - source_y_start + + if source_x_end > source_x_start and source_y_end > source_y_start: + mask_array[ + :, + destination_y_start:destination_y_end, + destination_x_start:destination_x_end, + ] = masks[:, source_y_start:source_y_end, source_x_start:source_x_end] return mask_array diff --git a/supervision/keypoint/core.py b/supervision/keypoint/core.py index 4b8e9d55b..945524156 100644 --- a/supervision/keypoint/core.py +++ b/supervision/keypoint/core.py @@ -1,6 +1,5 @@ from __future__ import annotations -from contextlib import suppress from dataclasses import dataclass, field from typing import Any, Dict, Iterable, Iterator, List, Optional, Tuple, Union @@ -204,9 +203,10 @@ def from_inference(cls, inference_result: Union[dict, Any]) -> KeyPoints: "You can retrieve it like so: inference_result = model.infer(image)[0]" ) - with suppress(AttributeError): + if hasattr(inference_result, "dict"): inference_result = inference_result.dict(exclude_none=True, by_alias=True) - + elif hasattr(inference_result, "json"): + inference_result = inference_result.json() if not inference_result.get("predictions"): return cls.empty() diff --git a/supervision/metrics/__init__.py b/supervision/metrics/__init__.py index 12b243ce6..e1cba4c18 100644 --- a/supervision/metrics/__init__.py +++ b/supervision/metrics/__init__.py @@ -19,3 +19,22 @@ get_detection_size_category, get_object_size_category, ) + +__all__ = [ + "AveragingMethod", + "F1Score", + "F1ScoreResult", + "MeanAveragePrecision", + "MeanAveragePrecisionResult", + "MeanAverageRecall", + "MeanAverageRecallResult", + "Metric", + "MetricTarget", + "ObjectSizeCategory", + "Precision", + "PrecisionResult", + "Recall", + "RecallResult", + "get_detection_size_category", + "get_object_size_category", +] diff --git a/test/detection/test_core.py b/test/detection/test_core.py index 61796bef2..dfa784fcb 100644 --- a/test/detection/test_core.py +++ b/test/detection/test_core.py @@ -223,6 +223,12 @@ None, pytest.raises(IndexError), ), + ( + Detections.empty(), + np.isin(Detections.empty()["class_name"], ["cat", "dog"]), + Detections.empty(), + DoesNotRaise(), + ), # Filter an empty detections by specific class names ], ) def test_getitem( diff --git a/test/detection/test_utils.py b/test/detection/test_utils.py index 87e50f6a4..d93c72c83 100644 --- a/test/detection/test_utils.py +++ b/test/detection/test_utils.py @@ -16,6 +16,7 @@ merge_data, merge_metadata, move_boxes, + move_masks, process_roboflow_result, scale_boxes, xcycwh_to_xyxy, @@ -442,6 +443,268 @@ def test_move_boxes( assert np.array_equal(result, expected_result) +@pytest.mark.parametrize( + "masks, offset, resolution_wh, expected_result, exception", + [ + ( + np.array( + [ + [ + [False, False, False, False], + [False, True, True, False], + [False, True, True, False], + [False, False, False, False], + ] + ], + dtype=bool, + ), + np.array([0, 0]), + (4, 4), + np.array( + [ + [ + [False, False, False, False], + [False, True, True, False], + [False, True, True, False], + [False, False, False, False], + ] + ], + dtype=bool, + ), + DoesNotRaise(), + ), + ( + np.array( + [ + [ + [False, False, False, False], + [False, True, True, False], + [False, True, True, False], + [False, False, False, False], + ] + ], + dtype=bool, + ), + np.array([-1, -1]), + (4, 4), + np.array( + [ + [ + [True, True, False, False], + [True, True, False, False], + [False, False, False, False], + [False, False, False, False], + ] + ], + dtype=bool, + ), + DoesNotRaise(), + ), + ( + np.array( + [ + [ + [False, False, False, False], + [False, True, True, False], + [False, True, True, False], + [False, False, False, False], + ] + ], + dtype=bool, + ), + np.array([-2, -2]), + (4, 4), + np.array( + [ + [ + [True, False, False, False], + [False, False, False, False], + [False, False, False, False], + [False, False, False, False], + ] + ], + dtype=bool, + ), + DoesNotRaise(), + ), + ( + np.array( + [ + [ + [False, False, False, False], + [False, True, True, False], + [False, True, True, False], + [False, False, False, False], + ] + ], + dtype=bool, + ), + np.array([-3, -3]), + (4, 4), + np.array( + [ + [ + [False, False, False, False], + [False, False, False, False], + [False, False, False, False], + [False, False, False, False], + ] + ], + dtype=bool, + ), + DoesNotRaise(), + ), + ( + np.array( + [ + [ + [False, False, False, False], + [False, True, True, False], + [False, True, True, False], + [False, False, False, False], + ] + ], + dtype=bool, + ), + np.array([-2, -1]), + (4, 4), + np.array( + [ + [ + [True, False, False, False], + [True, False, False, False], + [False, False, False, False], + [False, False, False, False], + ] + ], + dtype=bool, + ), + DoesNotRaise(), + ), + ( + np.array( + [ + [ + [False, False, False, False], + [False, True, True, False], + [False, True, True, False], + [False, False, False, False], + ] + ], + dtype=bool, + ), + np.array([-1, -2]), + (4, 4), + np.array( + [ + [ + [True, True, False, False], + [False, False, False, False], + [False, False, False, False], + [False, False, False, False], + ] + ], + dtype=bool, + ), + DoesNotRaise(), + ), + ( + np.array( + [ + [ + [False, False, False, False], + [False, True, True, False], + [False, True, True, False], + [False, False, False, False], + ] + ], + dtype=bool, + ), + np.array([-2, 2]), + (4, 4), + np.array( + [ + [ + [False, False, False, False], + [False, False, False, False], + [False, False, False, False], + [True, False, False, False], + ] + ], + dtype=bool, + ), + DoesNotRaise(), + ), + ( + np.array( + [ + [ + [False, False, False, False], + [False, True, True, False], + [False, True, True, False], + [False, False, False, False], + ] + ], + dtype=bool, + ), + np.array([3, 3]), + (4, 4), + np.array( + [ + [ + [False, False, False, False], + [False, False, False, False], + [False, False, False, False], + [False, False, False, False], + ] + ], + dtype=bool, + ), + DoesNotRaise(), + ), + ( + np.array( + [ + [ + [False, False, False, False], + [False, True, True, False], + [False, True, True, False], + [False, False, False, False], + ] + ], + dtype=bool, + ), + np.array([3, 3]), + (6, 6), + np.array( + [ + [ + [False, False, False, False, False, False], + [False, False, False, False, False, False], + [False, False, False, False, False, False], + [False, False, False, False, False, False], + [False, False, False, False, True, True], + [False, False, False, False, True, True], + ] + ], + dtype=bool, + ), + DoesNotRaise(), + ), + ], +) +def test_move_masks( + masks: np.ndarray, + offset: np.ndarray, + resolution_wh: Tuple[int, int], + expected_result: np.ndarray, + exception: Exception, +) -> None: + with exception: + result = move_masks(masks=masks, offset=offset, resolution_wh=resolution_wh) + np.testing.assert_array_equal(result, expected_result) + + @pytest.mark.parametrize( "xyxy, factor, expected_result, exception", [ diff --git a/test/detection/tools/test_inference_slicer.py b/test/detection/tools/test_inference_slicer.py index 812e79413..1e03e158b 100644 --- a/test/detection/tools/test_inference_slicer.py +++ b/test/detection/tools/test_inference_slicer.py @@ -22,33 +22,26 @@ def callback(_: np.ndarray) -> Detections: @pytest.mark.parametrize( "slice_wh, overlap_ratio_wh, overlap_wh, expected_overlap, exception", [ - # Valid case: overlap_ratio_wh provided, overlap calculated from the ratio - ((128, 128), (0.2, 0.2), None, None, DoesNotRaise()), - # Valid case: overlap_wh in pixels, no ratio provided + # Valid case: explicit overlap_wh in pixels + ((128, 128), None, (26, 26), (26, 26), DoesNotRaise()), + # Valid case: overlap_wh in pixels ((128, 128), None, (20, 20), (20, 20), DoesNotRaise()), - # Invalid case: overlap_ratio_wh greater than 1, should raise ValueError - ((128, 128), (1.1, 0.5), None, None, pytest.raises(ValueError)), # Invalid case: negative overlap_wh, should raise ValueError ((128, 128), None, (-10, 20), None, pytest.raises(ValueError)), - # Invalid case: - # overlap_ratio_wh and overlap_wh provided, should raise ValueError - ((128, 128), (0.5, 0.5), (20, 20), (20, 20), pytest.raises(ValueError)), - # Valid case: no overlap_ratio_wh, overlap_wh = 50 pixels + # Invalid case: no overlaps defined + ((128, 128), None, None, None, pytest.raises(ValueError)), + # Valid case: overlap_wh = 50 pixels ((256, 256), None, (50, 50), (50, 50), DoesNotRaise()), - # Valid case: overlap_ratio_wh provided, overlap calculated from (0.3, 0.3) - ((200, 200), (0.3, 0.3), None, None, DoesNotRaise()), - # Valid case: small overlap_ratio_wh values - ((100, 100), (0.1, 0.1), None, None, DoesNotRaise()), - # Invalid case: negative overlap_ratio_wh value, should raise ValueError - ((128, 128), (-0.1, 0.2), None, None, pytest.raises(ValueError)), - # Invalid case: negative overlap_ratio_wh with overlap_wh provided - ((128, 128), (-0.1, 0.2), (30, 30), None, pytest.raises(ValueError)), - # Invalid case: overlap_wh greater than slice size, should raise ValueError + # Valid case: overlap_wh = 60 pixels + ((200, 200), None, (60, 60), (60, 60), DoesNotRaise()), + # Valid case: small overlap_wh values + ((100, 100), None, (0.1, 0.1), (0.1, 0.1), DoesNotRaise()), + # Invalid case: negative overlap_wh values + ((128, 128), None, (-10, -10), None, pytest.raises(ValueError)), + # Invalid case: overlap_wh greater than slice size ((128, 128), None, (150, 150), (150, 150), DoesNotRaise()), - # Valid case: overlap_ratio_wh is 0, no overlap - ((128, 128), (0.0, 0.0), None, None, DoesNotRaise()), - # Invalid case: no overlaps defined, no overlap - ((128, 128), None, None, None, pytest.raises(ValueError)), + # Valid case: zero overlap + ((128, 128), None, (0, 0), (0, 0), DoesNotRaise()), ], ) def test_inference_slicer_overlap(