From 8fae5d3f408cae61f74c8b6493ac82b650222dc6 Mon Sep 17 00:00:00 2001 From: Andrey Zhavoronkov Date: Fri, 9 Jun 2023 20:40:31 +0300 Subject: [PATCH 1/4] Release 2.5.0 (#6277) --- CHANGELOG.md | 31 ++++++++++++++++++++----------- 1 file changed, 20 insertions(+), 11 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index c2ee4afa1dfb..f53581264219 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -7,22 +7,34 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ## \[2.5.0] - Unreleased ### Added -- \[Server API\] An option to supply custom file ordering for task data uploads () -- New option ``semi-auto`` is available as annotations source () - -### Changed -- Allowed to use dataset manifest for the `predefined` sorting method for task data () -- TBD +- TDB ### Changed -- Replaced Apache mod_wsgi with Uvicorn ASGI server for backend use() +- TDB ### Deprecated -- TBD +- TDB ### Removed - TDB +### Fixed +- TDB + +### Security +- TDB + +## \[2.4.6] - 2023-06-09 +### Added +- \[Server API\] An option to supply custom file ordering for task data uploads () +- New option ``semi-auto`` is available as annotations source () + +### Changed +- Allowed to use dataset manifest for the `predefined` sorting method for task data () + +### Changed +- Replaced Apache mod_wsgi with Uvicorn ASGI server for backend use() + ### Fixed - Incorrect location of temporary file during job annotation import.() - Deletion of uploaded file along with annotations/backups when an RQ job @@ -33,9 +45,6 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - \[Server API\] The `predefined` sorting method for task data uploads () - Allowed slashes in export filenames. () -### Security -- TDB - ## \[2.4.5] - 2023-06-02 ### Added - Integrated support for sharepoint and cloud storage files, along with From 09a10ca59deaddfe24028caa611af85587cb3eb3 Mon Sep 17 00:00:00 2001 From: Anastasia Yasakova Date: Mon, 12 Jun 2023 07:08:02 +0300 Subject: [PATCH 2/4] Code coverage (#6173) - Replaced Coveralls with Codecov - Added code coverage to full workflow - Enabled code coverage for tests --- .coveragerc | 1 - .github/codecov.yml | 21 ++++ .github/workflows/full.yml | 36 +++++-- .github/workflows/main.yml | 43 +++++--- .github/workflows/schedule.yml | 102 +++--------------- Dockerfile | 5 + Dockerfile.ci | 4 +- README.md | 4 +- cvat-core/package.json | 2 - cvat/requirements/production.in | 2 + cvat/requirements/production.txt | 2 + cvat/requirements/testing.in | 2 +- cvat/requirements/testing.txt | 10 +- cvat/rqworker.py | 16 ++- docker-compose.ci.yml | 1 - docker-compose.dev.yml | 5 + package.json | 7 +- .../en/docs/contributing/running-tests.md | 17 +++ tests/python/.coveragerc | 40 +++++++ tests/python/requirements.txt | 1 + tests/python/rest_api/test_tasks.py | 6 +- tests/python/shared/fixtures/init.py | 87 ++++++++++++--- yarn.lock | 11 -- 23 files changed, 265 insertions(+), 160 deletions(-) create mode 100644 .github/codecov.yml create mode 100644 tests/python/.coveragerc diff --git a/.coveragerc b/.coveragerc index 1190ab96c730..e2bc8347b10a 100644 --- a/.coveragerc +++ b/.coveragerc @@ -1,6 +1,5 @@ [run] branch = true -# relative_files = true # does not work? source = cvat/apps/ diff --git a/.github/codecov.yml b/.github/codecov.yml new file mode 100644 index 000000000000..31402461a072 --- /dev/null +++ b/.github/codecov.yml @@ -0,0 +1,21 @@ +comment: + layout: "header, diff, components" + +component_management: + individual_components: + - component_id: cvat-ui + name: cvat-ui + paths: + - cvat-canvas/** + - cvat-canvas3d/** + - cvat-core/** + - cvat-data/** + - cvat-ui/** + - component_id: cvat-server + name: cvat-server + paths: + - cvat/** + - cvat-cli/** + - cvat-sdk/** + - utils/** + diff --git a/.github/workflows/full.yml b/.github/workflows/full.yml index 8ff4d2fb2a3b..5faf726e3676 100644 --- a/.github/workflows/full.yml +++ b/.github/workflows/full.yml @@ -52,12 +52,19 @@ jobs: - name: CVAT server. Build and push uses: docker/build-push-action@v3 with: + build-args: | + "COVERAGE_PROCESS_START=.coveragerc" cache-from: type=local,src=/tmp/cvat_cache_server context: . file: Dockerfile tags: cvat/server outputs: type=docker,dest=/tmp/cvat_server/image.tar + - name: Instrumentation of the code then rebuilding the CVAT UI + run: | + yarn --frozen-lockfile + yarn run coverage + - name: CVAT UI. Build and push uses: docker/build-push-action@v3 with: @@ -154,11 +161,20 @@ jobs: - name: Running REST API and SDK tests id: run_tests + env: + COVERAGE_PROCESS_START: ".coveragerc" run: | - pip3 install --user '/tmp/cvat_sdk/[pytorch]' - pip3 install --user cvat-cli/ - pip3 install --user -r tests/python/requirements.txt - pytest tests/python/ -s -v + pip3 install -r cvat-sdk/gen/requirements.txt + ./cvat-sdk/gen/generate.sh + + pip3 install -r ./tests/python/requirements.txt + pip3 install -e ./cvat-sdk + pip3 install -e ./cvat-cli + + pytest tests/python/ --cov --cov-report xml + + - name: Upload coverage reports to Codecov with GitHub Action + uses: codecov/codecov-action@v3 - name: Creating a log file from cvat containers if: failure() && steps.run_tests.conclusion == 'failure' @@ -218,10 +234,13 @@ jobs: while [[ $(curl -s -o /dev/null -w "%{http_code}" localhost:8181/health?bundles) != "200" && max_tries -gt 0 ]]; do (( max_tries-- )); sleep 5; done docker compose -f docker-compose.yml -f docker-compose.dev.yml -f docker-compose.ci.yml run cvat_ci /bin/bash \ - -c 'python manage.py test cvat/apps -v 2' + -c 'coverage run -a manage.py test cvat/apps && coverage json && mv coverage.json ${CONTAINER_COVERAGE_DATA_DIR}' docker compose -f docker-compose.yml -f docker-compose.dev.yml -f docker-compose.ci.yml run cvat_ci /bin/bash \ - -c 'yarn --frozen-lockfile --ignore-scripts && yarn workspace cvat-core run test' + -c 'yarn --frozen-lockfile --ignore-scripts && yarn workspace cvat-core run test && mv cvat-core/reports/coverage/coverage-final.json ${CONTAINER_COVERAGE_DATA_DIR}' + + - name: Upload coverage reports to Codecov with GitHub Action + uses: codecov/codecov-action@v3 - name: Creating a log file from cvat containers if: failure() @@ -317,16 +336,17 @@ jobs: npx cypress run \ --headed \ --browser chrome \ - --env coverage=false \ --config-file cypress_canvas3d.config.js \ --spec 'cypress/e2e/${{ matrix.specs }}/**/*.js,cypress/e2e/remove_users_tasks_projects_organizations.js' else npx cypress run \ --browser chrome \ - --env coverage=false \ --spec 'cypress/e2e/${{ matrix.specs }}/**/*.js,cypress/e2e/remove_users_tasks_projects_organizations.js' fi + - name: Upload coverage reports to Codecov with GitHub Action + uses: codecov/codecov-action@v3 + - name: Creating a log file from "cvat" container logs if: failure() run: | diff --git a/.github/workflows/main.yml b/.github/workflows/main.yml index 71d0412a8514..63a94f25440e 100644 --- a/.github/workflows/main.yml +++ b/.github/workflows/main.yml @@ -52,12 +52,19 @@ jobs: - name: CVAT server. Build and push uses: docker/build-push-action@v3 with: + build-args: | + "COVERAGE_PROCESS_START=.coveragerc" cache-from: type=local,src=/tmp/cvat_cache_server context: . file: Dockerfile tags: cvat/server outputs: type=docker,dest=/tmp/cvat_server/image.tar + - name: Instrumentation of the code then rebuilding the CVAT UI + run: | + yarn --frozen-lockfile + yarn run coverage + - name: CVAT UI. Build and push uses: docker/build-push-action@v3 with: @@ -130,12 +137,6 @@ jobs: name: cvat_ui path: /tmp/cvat_ui/ - - name: Download CVAT SDK package - uses: actions/download-artifact@v3 - with: - name: cvat_sdk - path: /tmp/cvat_sdk/ - - name: Load Docker images run: | docker load --input /tmp/cvat_server/image.tar @@ -144,7 +145,6 @@ jobs: docker tag cvat/ui:latest cvat/ui:${CVAT_VERSION} docker image ls -a - - name: Upload expected schema as an artifact if: failure() && steps.verify_schema.conclusion == 'failure' uses: actions/upload-artifact@v3.1.2 @@ -154,11 +154,20 @@ jobs: - name: Running REST API and SDK tests id: run_tests + env: + COVERAGE_PROCESS_START: ".coveragerc" run: | - pip3 install --user '/tmp/cvat_sdk/[pytorch]' - pip3 install --user cvat-cli/ - pip3 install --user -r tests/python/requirements.txt - pytest tests/python/ -s -v + pip3 install -r cvat-sdk/gen/requirements.txt + ./cvat-sdk/gen/generate.sh + + pip3 install -r ./tests/python/requirements.txt + pip3 install -e ./cvat-sdk + pip3 install -e ./cvat-cli + + pytest tests/python/ --cov --cov-report xml + + - name: Upload coverage reports to Codecov with GitHub Action + uses: codecov/codecov-action@v3 - name: Creating a log file from cvat containers if: failure() && steps.run_tests.conclusion == 'failure' @@ -216,10 +225,13 @@ jobs: while [[ $(curl -s -o /dev/null -w "%{http_code}" localhost:8181/health?bundles) != "200" && max_tries -gt 0 ]]; do (( max_tries-- )); sleep 5; done docker compose -f docker-compose.yml -f docker-compose.dev.yml -f docker-compose.ci.yml run cvat_ci /bin/bash \ - -c 'python manage.py test cvat/apps -v 2' + -c 'coverage run -a manage.py test cvat/apps && coverage json && mv coverage.json ${CONTAINER_COVERAGE_DATA_DIR}' docker compose -f docker-compose.yml -f docker-compose.dev.yml -f docker-compose.ci.yml run cvat_ci /bin/bash \ - -c 'yarn --frozen-lockfile --ignore-scripts && yarn workspace cvat-core run test' + -c 'yarn --frozen-lockfile --ignore-scripts && yarn workspace cvat-core run test && mv cvat-core/reports/coverage/coverage-final.json ${CONTAINER_COVERAGE_DATA_DIR}' + + - name: Upload coverage reports to Codecov with GitHub Action + uses: codecov/codecov-action@v3 - name: Creating a log file from cvat containers if: failure() @@ -313,16 +325,17 @@ jobs: npx cypress run \ --headed \ --browser chrome \ - --env coverage=false \ --config-file cypress_canvas3d.config.js \ --spec 'cypress/e2e/${{ matrix.specs }}/**/*.js,cypress/e2e/remove_users_tasks_projects_organizations.js' else npx cypress run \ --browser chrome \ - --env coverage=false \ --spec 'cypress/e2e/${{ matrix.specs }}/**/*.js,cypress/e2e/remove_users_tasks_projects_organizations.js' fi + - name: Upload coverage reports to Codecov with GitHub Action + uses: codecov/codecov-action@v3 + - name: Creating a log file from "cvat" container logs if: failure() run: | diff --git a/.github/workflows/schedule.yml b/.github/workflows/schedule.yml index 097c1b5cc034..ab7297b56011 100644 --- a/.github/workflows/schedule.yml +++ b/.github/workflows/schedule.yml @@ -88,6 +88,8 @@ jobs: - name: CVAT server. Build and push uses: docker/build-push-action@v3 with: + build-args: | + "COVERAGE_PROCESS_START=.coveragerc" cache-from: type=local,src=/tmp/cvat_cache_server context: . file: Dockerfile @@ -163,14 +165,17 @@ jobs: ./opa test cvat/apps/iam/rules - name: REST API and SDK tests + env: + COVERAGE_PROCESS_START: ".coveragerc" run: | - pip3 install --user -r cvat-sdk/gen/requirements.txt + pip3 install -r cvat-sdk/gen/requirements.txt ./cvat-sdk/gen/generate.sh - pip3 install --user 'cvat-sdk/[pytorch]' - pip3 install --user cvat-cli/ - pip3 install --user -r tests/python/requirements.txt - pytest tests/python/ + pip3 install -r ./tests/python/requirements.txt + pip3 install -e ./cvat-sdk + pip3 install -e ./cvat-cli + + pytest tests/python/ --cov --cov-report xml pytest tests/python/ --stop-services - name: Unit tests @@ -183,20 +188,15 @@ jobs: while [[ $(curl -s -o /dev/null -w "%{http_code}" localhost:8181/health?bundles) != "200" && max_tries -gt 0 ]]; do (( max_tries-- )); sleep 5; done docker compose -f docker-compose.yml -f docker-compose.dev.yml -f docker-compose.ci.yml run cvat_ci /bin/bash \ - -c 'coverage run -a manage.py test cvat/apps && mv .coverage ${CONTAINER_COVERAGE_DATA_DIR}' + -c 'coverage run -a manage.py test cvat/apps && coverage json && mv coverage.json ${CONTAINER_COVERAGE_DATA_DIR}' docker compose -f docker-compose.yml -f docker-compose.dev.yml -f docker-compose.ci.yml run cvat_ci /bin/bash \ - -c 'yarn --frozen-lockfile --ignore-scripts && yarn workspace cvat-core run test' + -c 'yarn --frozen-lockfile --ignore-scripts && yarn workspace cvat-core run test && mv cvat-core/reports/coverage/coverage-final.json ${CONTAINER_COVERAGE_DATA_DIR}' docker compose -f docker-compose.yml -f docker-compose.dev.yml -f docker-compose.ci.yml down -v - - name: Uploading code coverage results as an artifact - uses: actions/upload-artifact@v3.1.1 - with: - name: coverage_results - path: | - ${{ github.workspace }}/lcov.info - ${{ github.workspace }}/.coverage + - name: Upload coverage reports to Codecov with GitHub Action + uses: codecov/codecov-action@v3 e2e_testing: needs: build @@ -304,14 +304,15 @@ jobs: --browser chrome \ --config-file cypress_canvas3d.config.js \ --spec 'cypress/e2e/${{ matrix.specs }}/**/*.js,cypress/e2e/remove_users_tasks_projects_organizations.js' - mv ./.nyc_output/out.json ./.nyc_output/out_${{ matrix.specs }}.json else npx cypress run \ --browser chrome \ --spec 'cypress/e2e/${{ matrix.specs }}/**/*.js,cypress/e2e/remove_users_tasks_projects_organizations.js' - mv ./.nyc_output/out.json ./.nyc_output/out_${{ matrix.specs }}.json fi + - name: Upload coverage reports to Codecov with GitHub Action + uses: codecov/codecov-action@v3 + - name: Creating a log file from "cvat" container logs if: failure() run: | @@ -330,72 +331,3 @@ jobs: with: name: cvat_container_logs path: ${{ github.workspace }}/tests/cvat.log - - - name: Uploading code coverage results as an artifact - uses: actions/upload-artifact@v3.1.1 - with: - name: coverage_results - path: ${{ github.workspace }}/tests/.nyc_output - - coveralls: - runs-on: ubuntu-latest - needs: [unit_testing, e2e_testing] - steps: - - uses: actions/checkout@v3 - - - name: CVAT server. Extract metadata (tags, labels) for Docker - id: meta-server - uses: docker/metadata-action@master - with: - images: ${{ secrets.DOCKERHUB_CI_WORKSPACE }}/${{ env.SERVER_IMAGE_TEST_REPO }} - tags: - type=raw,value=nightly - - - name: Login to Docker Hub - uses: docker/login-action@v2 - with: - username: ${{ secrets.DOCKERHUB_CI_USERNAME }} - password: ${{ secrets.DOCKERHUB_CI_TOKEN }} - - - name: Pull CVAT server image - run: | - docker pull ${{ steps.meta-server.outputs.tags }} - docker tag ${{ steps.meta-server.outputs.tags }} cvat/server:local - - - name: Downloading coverage results - uses: actions/download-artifact@v2 - with: - name: coverage_results - - - name: Combining coverage results - run: | - mkdir -p ./nyc_output_tmp - mv ./out_*.json ./nyc_output_tmp - mkdir -p ./.nyc_output - yarn --frozen-lockfile - npx nyc merge ./nyc_output_tmp ./.nyc_output/out.json - - - name: Sending results to Coveralls - env: - HOST_COVERAGE_DATA_DIR: ${{ github.workspace }} - CONTAINER_COVERAGE_DATA_DIR: "/coverage_data" - COVERALLS_SERVICE_NAME: github - GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} - run: | - npx nyc report --reporter=text-lcov >> ${HOST_COVERAGE_DATA_DIR}/lcov.info - - docker compose \ - -f docker-compose.yml \ - -f docker-compose.dev.yml \ - -f docker-compose.ci.yml \ - run cvat_ci /bin/bash -c 'cd ${CONTAINER_COVERAGE_DATA_DIR} && coveralls-lcov -v -n lcov.info > ${CONTAINER_COVERAGE_DATA_DIR}/coverage.json' - - docker compose \ - -f docker-compose.yml \ - -f docker-compose.dev.yml \ - -f docker-compose.ci.yml \ - run cvat_ci /bin/bash -c '\ - ln -s ${CONTAINER_COVERAGE_DATA_DIR}/.git . \ - && ln -s ${CONTAINER_COVERAGE_DATA_DIR}/.coverage . \ - && ln -s ${CONTAINER_COVERAGE_DATA_DIR}/coverage.json . \ - && coveralls --merge=coverage.json' diff --git a/Dockerfile b/Dockerfile index 974aab6eb888..855aa61de5ba 100644 --- a/Dockerfile +++ b/Dockerfile @@ -178,6 +178,11 @@ COPY --chown=${USER} wait-for-it.sh manage.py backend_entrypoint.sh ${HOME}/ COPY --chown=${USER} utils/ ${HOME}/utils COPY --chown=${USER} cvat/ ${HOME}/cvat +ARG COVERAGE_PROCESS_START +RUN if [ "${COVERAGE_PROCESS_START}" ]; then \ + echo "import coverage; coverage.process_startup()" > /opt/venv/lib/python3.10/site-packages/coverage_subprocess.pth; \ + fi + # RUN all commands below as 'django' user USER ${USER} WORKDIR ${HOME} diff --git a/Dockerfile.ci b/Dockerfile.ci index 1dd4b0c279c0..0438e80bdcc6 100644 --- a/Dockerfile.ci +++ b/Dockerfile.ci @@ -25,9 +25,7 @@ RUN apt-get update && \ COPY cvat/requirements/ /tmp/cvat/requirements/ COPY utils/dataset_manifest/requirements.txt /tmp/utils/dataset_manifest/requirements.txt -RUN DATUMARO_HEADLESS=1 python3 -m pip install --no-cache-dir -r /tmp/cvat/requirements/${DJANGO_CONFIGURATION}.txt && \ - python3 -m pip install --no-cache-dir coveralls -RUN gem install coveralls-lcov +RUN DATUMARO_HEADLESS=1 python3 -m pip install --no-cache-dir -r /tmp/cvat/requirements/${DJANGO_CONFIGURATION}.txt COPY cvat-core ${HOME}/cvat-core COPY cvat-data ${HOME}/cvat-data diff --git a/README.md b/README.md index b038ba67d35c..1b99a09ebe80 100644 --- a/README.md +++ b/README.md @@ -256,8 +256,8 @@ questions and get our support. [ci-url]: https://github.com/opencv/cvat/actions [gitter-img]: https://img.shields.io/gitter/room/opencv-cvat/public?style=flat [gitter-url]: https://gitter.im/opencv-cvat -[coverage-img]: https://coveralls.io/repos/github/cvat-ai/cvat/badge.svg?branch=develop -[coverage-url]: https://coveralls.io/github/cvat-ai/cvat?branch=develop +[coverage-img]: https://codecov.io/github/opencv/cvat/branch/develop/graph/badge.svg +[coverage-url]: https://codecov.io/github/opencv/cvat [doi-img]: https://zenodo.org/badge/139156354.svg [doi-url]: https://zenodo.org/badge/latestdoi/139156354 [discord-img]: https://img.shields.io/discord/1000789942802337834?label=discord diff --git a/cvat-core/package.json b/cvat-core/package.json index 8f20feefc61f..4cd658b3df60 100644 --- a/cvat-core/package.json +++ b/cvat-core/package.json @@ -6,7 +6,6 @@ "scripts": { "build": "webpack", "test": "jest --config=jest.config.js --coverage", - "coveralls": "cat ./reports/coverage/lcov.info | coveralls", "type-check": "tsc --noEmit", "type-check:watch": "yarn run type-check --watch" }, @@ -19,7 +18,6 @@ "> 2%" ], "devDependencies": { - "coveralls": "^3.0.5", "jest": "^29.5.0", "jest-config": "^29.5.0", "jest-environment-jsdom": "^29.5.0", diff --git a/cvat/requirements/production.in b/cvat/requirements/production.in index 530545b6a4c0..c349f996c947 100644 --- a/cvat/requirements/production.in +++ b/cvat/requirements/production.in @@ -1,2 +1,4 @@ -r base.in uvicorn[standard]==0.22.0 +coverage==7.2.3 # to collect the coverage for REST API tests. +# It will be enabled only if COVERAGE_PROCESS_START env is defined. diff --git a/cvat/requirements/production.txt b/cvat/requirements/production.txt index a142cfdc6af2..3899e8286174 100644 --- a/cvat/requirements/production.txt +++ b/cvat/requirements/production.txt @@ -26,5 +26,7 @@ watchfiles==0.19.0 # via uvicorn websockets==11.0.3 # via uvicorn +coverage==7.2.3 + # via -r cvat/requirements/production.in # The following packages are considered to be unsafe in a requirements file: diff --git a/cvat/requirements/testing.in b/cvat/requirements/testing.in index ff5ff5ca91dd..e2c70b149ea2 100644 --- a/cvat/requirements/testing.in +++ b/cvat/requirements/testing.in @@ -1,3 +1,3 @@ -r development.in -coveralls fakeredis==2.10.3 +coverage==7.2.3 diff --git a/cvat/requirements/testing.txt b/cvat/requirements/testing.txt index 6de652fc0d2a..a868cb1c6b0c 100644 --- a/cvat/requirements/testing.txt +++ b/cvat/requirements/testing.txt @@ -1,4 +1,4 @@ -# SHA1:8dec2a1cde7e68bd79ee31cdec270084f7e3266b +# SHA1:910e8edd8fcfdbe7c9a7278ba499bcfad1313c19 # # This file is autogenerated by pip-compile-multi # To update, run: @@ -8,15 +8,11 @@ -r development.txt --no-binary av -coverage==6.5.0 - # via coveralls -coveralls==3.3.1 - # via -r cvat/requirements/testing.in -docopt==0.6.2 - # via coveralls fakeredis==2.10.3 # via -r cvat/requirements/testing.in sortedcontainers==2.4.0 # via fakeredis +coverage==7.2.3 + # via -r cvat/requirements/testing.in # The following packages are considered to be unsafe in a requirements file: diff --git a/cvat/rqworker.py b/cvat/rqworker.py index 2d68a419f95b..78319ff2e841 100644 --- a/cvat/rqworker.py +++ b/cvat/rqworker.py @@ -1,8 +1,10 @@ # Copyright (C) 2018-2022 Intel Corporation -# Copyright (C) 2022 CVAT.ai Corporation +# Copyright (C) 2022-2023 CVAT.ai Corporation # # SPDX-License-Identifier: MIT +import os + from rq import Worker import cvat.utils.remote_debugger as debug @@ -62,3 +64,15 @@ def execute_job(self, *args, **kwargs): return super().execute_job(*args, **kwargs) DefaultWorker = RemoteDebugWorker + + +if os.environ.get("COVERAGE_PROCESS_START"): + import coverage + + def coverage_exit(): + cov = coverage.Coverage.current() + cov.stop() + cov.save() + os._exit(0) + + os._exit = coverage_exit diff --git a/docker-compose.ci.yml b/docker-compose.ci.yml index bc1628548c77..177d40011498 100644 --- a/docker-compose.ci.yml +++ b/docker-compose.ci.yml @@ -14,7 +14,6 @@ services: depends_on: - cvat_server environment: - COVERALLS_SERVICE_NAME: CONTAINER_COVERAGE_DATA_DIR: GITHUB_ACTIONS: GITHUB_TOKEN: diff --git a/docker-compose.dev.yml b/docker-compose.dev.yml index 03a16b43b138..01d8d2f6bcb6 100644 --- a/docker-compose.dev.yml +++ b/docker-compose.dev.yml @@ -19,11 +19,13 @@ services: socks_proxy: CLAM_AV: CVAT_DEBUG_ENABLED: + COVERAGE_PROCESS_START: environment: CVAT_DEBUG_ENABLED: '${CVAT_DEBUG_ENABLED:-no}' CVAT_DEBUG_PORT: '9090' # If 'yes', wait for a debugger connection on startup CVAT_DEBUG_WAIT: '${CVAT_DEBUG_WAIT_CLIENT:-no}' + COVERAGE_PROCESS_START: ports: - '9090:9090' @@ -35,6 +37,7 @@ services: # NUMPROCS: 1 CVAT_DEBUG_ENABLED: '${CVAT_DEBUG_ENABLED:-no}' CVAT_DEBUG_PORT: '9092' + COVERAGE_PROCESS_START: ports: - '9092:9092' @@ -46,6 +49,7 @@ services: # NUMPROCS: 1 CVAT_DEBUG_ENABLED: '${CVAT_DEBUG_ENABLED:-no}' CVAT_DEBUG_PORT: '9093' + COVERAGE_PROCESS_START: ports: - '9093:9093' @@ -57,6 +61,7 @@ services: # NUMPROCS: 1 CVAT_DEBUG_ENABLED: '${CVAT_DEBUG_ENABLED:-no}' CVAT_DEBUG_PORT: '9091' + COVERAGE_PROCESS_START: ports: - '9091:9091' diff --git a/package.json b/package.json index 6cf2be82717c..14efb012c4ae 100644 --- a/package.json +++ b/package.json @@ -35,7 +35,6 @@ "babel-register": "^6.26.0", "bundle-declarations-webpack-plugin": "^3.1.0", "copy-webpack-plugin": "^11.0.0", - "coveralls": "^3.1.0", "css-loader": "^3.4.2", "eslint": "^7.11.0", "eslint-config-airbnb": "^18.0.1", @@ -89,9 +88,9 @@ "scripts": { "test": "echo \"Error: no test specified\" && exit 1", "coverage": "yarn run instrument && yarn run cp && yarn run rm", - "instrument": "nyc instrument cvat-ui cvat-ui_cov && nyc instrument cvat-canvas cvat-canvas_cov && nyc instrument cvat-data cvat-data_cov && nyc instrument cvat-core cvat-core_cov", - "cp": "cp -r cvat-ui_cov/* cvat-ui && cp -r cvat-canvas_cov/* cvat-canvas && cp -r cvat-data_cov/* cvat-data && cp -r cvat-core_cov/* cvat-core", - "rm": "rm -rf cvat-ui_cov cvat-canvas_cov cvat-data_cov cvat-core_cov", + "instrument": "nyc instrument cvat-ui cvat-ui_cov && nyc instrument cvat-canvas cvat-canvas_cov && nyc instrument cvat-canvas3d cvat-canvas3d_cov && nyc instrument cvat-data cvat-data_cov && nyc instrument cvat-core cvat-core_cov", + "cp": "cp -r cvat-ui_cov/* cvat-ui && cp -r cvat-canvas_cov/* cvat-canvas && cp -r cvat-canvas3d_cov/* cvat-canvas3d && cp -r cvat-data_cov/* cvat-data && cp -r cvat-core_cov/* cvat-core", + "rm": "rm -rf cvat-ui_cov cvat-canvas_cov cvat-canvas3d_cov cvat-data_cov cvat-core_cov", "prepare": "husky install && rm .husky/pre-commit; npx husky add .husky/pre-commit \"npx lint-staged\"", "precommit:cvat-tests": "cd tests && eslint --fix", "precommit:cvat-data": "cd cvat-data && eslint --fix", diff --git a/site/content/en/docs/contributing/running-tests.md b/site/content/en/docs/contributing/running-tests.md index 0363f11e08ee..ccebc46640e7 100644 --- a/site/content/en/docs/contributing/running-tests.md +++ b/site/content/en/docs/contributing/running-tests.md @@ -29,6 +29,12 @@ description: 'Instructions on how to run all existence tests.' yarn --frozen-lockfile ``` +If you want to get a code coverage report, instrument the code: +``` +yarn --frozen-lockfile +yarn run coverage +``` + **Running tests** ``` @@ -74,6 +80,11 @@ If you need to rebuild your CVAT images add `--rebuild` option: pytest ./tests/python --rebuild ``` +If you want to get a code coverage report, use special option for it: +``` +COVERAGE_PROCESS_START=.coveragerc pytest ./tests/python --rebuild --cov --cov-report xml +``` + **Debugging** Currently, this is only supported in deployments based on Docker Compose, @@ -146,6 +157,12 @@ Extra options: ``` python manage.py test --settings cvat.settings.testing cvat/apps -v 2 ``` + +If you want to get a code coverage report, run the next command: + ``` + coverage run manage.py test --settings cvat.settings.testing cvat/apps -v 2 + ``` + 1. JS tests ``` cd cvat-core diff --git a/tests/python/.coveragerc b/tests/python/.coveragerc new file mode 100644 index 000000000000..2e17038a15d0 --- /dev/null +++ b/tests/python/.coveragerc @@ -0,0 +1,40 @@ +[run] +branch = true +parallel = true +sigterm = true +concurrency=thread + +source = + cvat/apps/ + cvat-sdk/ + cvat-cli/ + utils/dataset_manifest + +omit = + cvat/settings/* + */tests/* + */test_* + */_test_* + */migrations/* + +[report] +exclude_lines = + # Have to re-enable the standard pragma + pragma: no cover + + # Don't complain about missing debug-only code: + def __repr__ + if\s+[\w\.()]+\.isEnabledFor\(log\.DEBUG\): + + # Don't complain if tests don't hit defensive assertion code: + raise AssertionError + raise NotImplementedError + + # Don't complain if non-runnable code isn't run: + if 0: + if __name__ == .__main__.: + +# don't fail on the code that can be found +ignore_errors = true + +skip_empty = true diff --git a/tests/python/requirements.txt b/tests/python/requirements.txt index 89af8413f6be..b41295b04a42 100644 --- a/tests/python/requirements.txt +++ b/tests/python/requirements.txt @@ -1,6 +1,7 @@ pytest==6.2.5 pytest-cases==3.6.13 pytest-timeout==2.1.0 +pytest-cov==4.0.0 requests==2.31.0 deepdiff==5.6.0 boto3==1.17.61 diff --git a/tests/python/rest_api/test_tasks.py b/tests/python/rest_api/test_tasks.py index 9300dafd2731..56e5478223fe 100644 --- a/tests/python/rest_api/test_tasks.py +++ b/tests/python/rest_api/test_tasks.py @@ -1780,7 +1780,7 @@ def _delete_annotations(self, task_id): (_, response) = api_client.tasks_api.destroy_annotations(id=task_id) assert response.status == HTTPStatus.NO_CONTENT - @pytest.mark.timeout(64) + @pytest.mark.timeout(70) @pytest.mark.parametrize("successful_upload", [True, False]) def test_can_import_annotations_after_previous_unclear_import( self, successful_upload: bool, tasks_with_shapes @@ -1815,7 +1815,7 @@ def test_can_import_annotations_after_previous_unclear_import( rq_id = json.loads(response.data)["rq_id"] assert rq_id else: - required_time = 54 + required_time = 60 uploader._tus_start_upload(url, query_params=params) uploader._upload_file_data_with_tus( url, filename, meta=params, logger=self.client.logger.debug @@ -1828,7 +1828,7 @@ def test_can_import_annotations_after_previous_unclear_import( task.import_annotations(self.format, filename) self._check_annotations(task_id) - @pytest.mark.timeout(64) + @pytest.mark.timeout(70) def test_check_import_cache_after_previous_interrupted_upload(self, tasks_with_shapes, request): task_id = tasks_with_shapes[0]["id"] with NamedTemporaryFile() as f: diff --git a/tests/python/shared/fixtures/init.py b/tests/python/shared/fixtures/init.py index 792fe36825f2..dd6d7aafdc43 100644 --- a/tests/python/shared/fixtures/init.py +++ b/tests/python/shared/fixtures/init.py @@ -1,9 +1,10 @@ -# Copyright (C) 2022 CVAT.ai Corporation +# Copyright (C) 2022-2023 CVAT.ai Corporation # # SPDX-License-Identifier: MIT import logging import os +from enum import Enum from http import HTTPStatus from pathlib import Path from subprocess import PIPE, CalledProcessError, run @@ -32,6 +33,23 @@ ] + CONTAINER_NAME_FILES +class Container(str, Enum): + DB = "cvat_db" + SERVER = "cvat_server" + WORKER_ANNOTATION = "cvat_worker_annotation" + WORKER_IMPORT = "cvat_worker_import" + WORKER_EXPORT = "cvat_worker_export" + WORKER_WEBHOOKS = "cvat_worker_webhooks" + UTILS = "cvat_utils" + + def __str__(self): + return self.value + + @classmethod + def covered(cls): + return [item.value for item in cls if item != cls.DB] + + def pytest_addoption(parser): group = parser.getgroup("CVAT REST API testing options") group._addoption( @@ -75,14 +93,13 @@ def pytest_addoption(parser): def _run(command, capture_output=True): _command = command.split() if isinstance(command, str) else command - try: stdout, stderr = "", "" if capture_output: proc = run(_command, check=True, stdout=PIPE, stderr=PIPE) # nosec stdout, stderr = proc.stdout.decode(), proc.stderr.decode() else: - proc = run(_command, check=True) # nosec + proc = run(_command) # nosec return stdout, stderr except CalledProcessError as exc: stderr = exc.stderr.decode() or exc.stdout.decode() if capture_output else "see above" @@ -120,6 +137,10 @@ def kube_cp(source, target): _run(f"kubectl cp {source} {target}") +def docker_exec(container, command, capture_output=True): + return _run(f"docker exec -u root {PREFIX}_{container}_1 {command}", capture_output) + + def docker_exec_cvat(command: Union[List[str], str]): base = f"docker exec {PREFIX}_cvat_server_1" _command = f"{base} {command}" if isinstance(command, str) else base.split() + command @@ -133,10 +154,6 @@ def kube_exec_cvat(command: Union[List[str], str]): return _run(_command) -def docker_exec_cvat_db(command): - _run(f"docker exec {PREFIX}_cvat_db_1 {command}") - - def kube_exec_cvat_db(command): pod_name = _kube_get_db_pod_name() _run(["kubectl", "exec", pod_name, "--"] + command) @@ -152,7 +169,9 @@ def kube_exec_clickhouse_db(command): def docker_restore_db(): - docker_exec_cvat_db("psql -U root -d postgres -v from=test_db -v to=cvat -f /tmp/restore.sql") + docker_exec( + Container.DB, "psql -U root -d postgres -v from=test_db -v to=cvat -f /tmp/restore.sql" + ) def kube_restore_db(): @@ -215,10 +234,17 @@ def create_compose_files(container_name_files): for service_name, service_config in dc_config["services"].items(): service_config.pop("container_name", None) - if service_name in ("cvat_server", "cvat_utils"): + if service_name in (Container.SERVER, Container.UTILS): service_env = service_config["environment"] service_env["DJANGO_SETTINGS_MODULE"] = "cvat.settings.testing_rest" + if service_name in Container.covered(): + service_env = service_config["environment"] + service_env["COVERAGE_PROCESS_START"] = ".coveragerc" + service_config["volumes"].append( + "./tests/python/.coveragerc:/home/django/.coveragerc" + ) + yaml.dump(dc_config, ndcf) @@ -252,7 +278,7 @@ def docker_restore_data_volumes(): CVAT_DB_DIR / "cvat_data.tar.bz2", f"{PREFIX}_cvat_server_1:/tmp/cvat_data.tar.bz2", ) - docker_exec_cvat("tar --strip 3 -xjf /tmp/cvat_data.tar.bz2 -C /home/django/data/") + docker_exec(Container.SERVER, "tar --strip 3 -xjf /tmp/cvat_data.tar.bz2 -C /home/django/data/") def kube_restore_data_volumes(): @@ -376,8 +402,10 @@ def local_start(start, stop, dumpdb, cleanup, rebuild, cvat_root_dir, cvat_db_di docker_cp(cvat_db_dir / "data.json", f"{PREFIX}_cvat_server_1:/tmp/data.json") wait_for_services() - docker_exec_cvat("python manage.py loaddata /tmp/data.json") - docker_exec_cvat_db("psql -U root -d postgres -v from=cvat -v to=test_db -f /tmp/restore.sql") + docker_exec(Container.SERVER, "python manage.py loaddata /tmp/data.json") + docker_exec( + Container.DB, "psql -U root -d postgres -v from=cvat -v to=test_db -f /tmp/restore.sql" + ) if start: pytest.exit("All necessary containers have been created and started.", returncode=0) @@ -408,18 +436,45 @@ def pytest_sessionstart(session: pytest.Session) -> None: def pytest_sessionfinish(session: pytest.Session, exitstatus: int) -> None: + session_finish(session) + + +def session_finish(session): if session.config.getoption("--collect-only"): return platform = session.config.getoption("--platform") if platform == "local": + if os.environ.get("COVERAGE_PROCESS_START"): + collect_code_coverage_from_containers() + docker_restore_db() - docker_exec_cvat_db("dropdb test_db") + docker_exec(Container.DB, "dropdb test_db") + + docker_exec(Container.DB, "dropdb --if-exists cvat") + docker_exec(Container.DB, "createdb cvat") + docker_exec(Container.SERVER, "python manage.py migrate") - docker_exec_cvat_db("dropdb --if-exists cvat") - docker_exec_cvat_db("createdb cvat") - docker_exec_cvat("python manage.py migrate") + +def collect_code_coverage_from_containers(): + for container in Container.covered(): + process_command = "python3" + + # find process with code coverage + pid, _ = docker_exec(container, f"pidof {process_command} -o 1") + + # stop process with code coverage + docker_exec(container, f"kill -15 {pid}") + sleep(3) + + # get code coverage report + docker_exec(container, "coverage combine", capture_output=False) + docker_exec(container, "coverage xml", capture_output=False) + docker_cp( + f"{PREFIX}_{container}_1:home/django/coverage.xml", + f"coverage_{container}.xml", + ) @pytest.fixture(scope="function") diff --git a/yarn.lock b/yarn.lock index 18636dc1c78d..85117e4f1f9e 100644 --- a/yarn.lock +++ b/yarn.lock @@ -3733,17 +3733,6 @@ cosmiconfig@^7.0.0: path-type "^4.0.0" yaml "^1.10.0" -coveralls@^3.0.5, coveralls@^3.1.0: - version "3.1.1" - resolved "https://registry.yarnpkg.com/coveralls/-/coveralls-3.1.1.tgz#f5d4431d8b5ae69c5079c8f8ca00d64ac77cf081" - integrity sha512-+dxnG2NHncSD1NrqbSM3dn/lE57O6Qf/koe9+I7c+wzkqRmEvcp0kgJdxKInzYzkICKkFMZsX3Vct3++tsF9ww== - dependencies: - js-yaml "^3.13.1" - lcov-parse "^1.0.0" - log-driver "^1.2.7" - minimist "^1.2.5" - request "^2.88.2" - cross-spawn@^7.0.0, cross-spawn@^7.0.2, cross-spawn@^7.0.3: version "7.0.3" resolved "https://registry.yarnpkg.com/cross-spawn/-/cross-spawn-7.0.3.tgz#f73a85b9d5d41d045551c177e2882d4ac85728a6" From 5f588ed25e272b9fb5007ce3c63876a8a502c78e Mon Sep 17 00:00:00 2001 From: Mariia Acoca <39969264+mdacoca@users.noreply.github.com> Date: Mon, 12 Jun 2023 06:34:04 +0200 Subject: [PATCH 3/4] added SAM to documentation (#6248) --- .../en/docs/manual/advanced/ai-tools.md | 33 +++++++++--------- site/content/en/images/interactors_SAM.gif | Bin 0 -> 819715 bytes 2 files changed, 16 insertions(+), 17 deletions(-) create mode 100644 site/content/en/images/interactors_SAM.gif diff --git a/site/content/en/docs/manual/advanced/ai-tools.md b/site/content/en/docs/manual/advanced/ai-tools.md index 3f2aefc7c3ee..3c355eb745dd 100644 --- a/site/content/en/docs/manual/advanced/ai-tools.md +++ b/site/content/en/docs/manual/advanced/ai-tools.md @@ -67,8 +67,7 @@ To annotate with interactors, do the following: ### AI tools: add extra points > **Note:** More points improve outline accuracy, but make shape editing harder. -Fewer points make shape editing easier, but reduce outline accuracy. - +> Fewer points make shape editing easier, but reduce outline accuracy. Each model has a minimum required number of points for annotation. Once the required number of points is reached, the request @@ -140,13 +139,14 @@ During the drawing process, you can remove the last point by clicking on it with -| Model | Tool | Description | Example | -| --------------------------------------------------------- | ------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------- | -| Deep extreme
cut (DEXTR) | AI Tool | This is an optimized version of the original model,
introduced at the end of 2017. It uses the
information about extreme points of an object
to get its mask. The mask is then converted to a polygon.
For now this is the fastest interactor on the CPU.

For more information, see:
  • [GitHub: DEXTR-PyTorch](https://github.com/scaelles/DEXTR-PyTorch)
  • [Site: DEXTR-PyTorch](https://cvlsegmentation.github.io/dextr)
  • [Paper: DEXTR-PyTorch](https://arxiv.org/pdf/1711.09081.pdf) | ![](/images/dextr_example.gif) | -| Feature backpropagating
    refinement
    scheme (f-BRS) | AI Tool | The model allows to get a mask for an
    object using positive points (should be
    left-clicked on the foreground),
    and negative points (should be right-clicked
    on the background, if necessary).
    It is recommended to run the model on GPU,
    if possible.

    For more information, see:
  • [GitHub: f-BRS](https://github.com/saic-vul/fbrs_interactive_segmentation)
  • [Paper: f-BRS](https://arxiv.org/pdf/2001.10331.pdf) | ![](/images/fbrs_example.gif) | -| High Resolution
    Net (HRNet) | AI Tool | The model allows to get a mask for
    an object using positive points (should
    be left-clicked on the foreground),
    and negative points (should be
    right-clicked on the background,
    if necessary).
    It is recommended to run the model on GPU,
    if possible.

    For more information, see:
  • [GitHub: HRNet](https://github.com/saic-vul/ritm_interactive_segmentation)
  • [Paper: HRNet](https://arxiv.org/pdf/2102.06583.pdf) | ![](/images/hrnet_example.gif) | -| Inside-Outside-Guidance
    (IOG) | AI Tool | The model uses a bounding box and
    inside/outside points to create a mask.
    First of all, you need to create a bounding
    box, wrapping the object.
    Then you need to use positive
    and negative points to say the
    model where is
    a foreground, and where is a background.
    Negative points are optional.

    For more information, see:
  • [GitHub: IOG](https://github.com/shiyinzhang/Inside-Outside-Guidance)
  • [Paper: IOG](https://openaccess.thecvf.com/content_CVPR_2020/papers/Zhang_Interactive_Object_Segmentation_With_Inside-Outside_Guidance_CVPR_2020_paper.pdf) | ![](/images/iog_example.gif) | -| Intelligent scissors | OpenCV | Intelligent scissors is a CV method of creating
    a polygon by placing points with the automatic
    drawing of a line between them. The distance
    between the adjacent points is limited by
    the threshold of action, displayed as a
    red square that is tied to the cursor.

    For more information, see:
  • [Site: Intelligent Scissors Specification](https://docs.opencv.org/4.x/df/d6b/classcv_1_1segmentation_1_1IntelligentScissorsMB.html) | ![int scissors](/images/intelligent_scissors.gif) | +| Model | Tool | Description | Example | +| --------------------------------------------------------- | -------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------- | +| Segment Anything Model (SAM) | AI Tools | The Segment Anything Model (SAM) produces high
    quality object masks, and it can be used to generate
    masks for all objects in an image. It has been trained
    on a dataset of 11 million images and
    1.1 billion masks, and has strong zero-shot performance on a variety of segmentation tasks.

    For more information, see:
  • [GitHub: Segment Anything](https://github.com/facebookresearch/segment-anything)
  • [Site: Segment Anything](https://segment-anything.com/)
  • [Paper: Segment Anything](https://ai.facebook.com/research/publications/segment-anything/) | ![](/images/interactors_SAM.gif) | +| Deep extreme
    cut (DEXTR) | AI Tool | This is an optimized version of the original model,
    introduced at the end of 2017. It uses the
    information about extreme points of an object
    to get its mask. The mask is then converted to a polygon.
    For now this is the fastest interactor on the CPU.

    For more information, see:
  • [GitHub: DEXTR-PyTorch](https://github.com/scaelles/DEXTR-PyTorch)
  • [Site: DEXTR-PyTorch](https://cvlsegmentation.github.io/dextr)
  • [Paper: DEXTR-PyTorch](https://arxiv.org/pdf/1711.09081.pdf) | ![](/images/dextr_example.gif) | +| Feature backpropagating
    refinement
    scheme (f-BRS) | AI Tool | The model allows to get a mask for an
    object using positive points (should be
    left-clicked on the foreground),
    and negative points (should be right-clicked
    on the background, if necessary).
    It is recommended to run the model on GPU,
    if possible.

    For more information, see:
  • [GitHub: f-BRS](https://github.com/saic-vul/fbrs_interactive_segmentation)
  • [Paper: f-BRS](https://arxiv.org/pdf/2001.10331.pdf) | ![](/images/fbrs_example.gif) | +| High Resolution
    Net (HRNet) | AI Tool | The model allows to get a mask for
    an object using positive points (should
    be left-clicked on the foreground),
    and negative points (should be
    right-clicked on the background,
    if necessary).
    It is recommended to run the model on GPU,
    if possible.

    For more information, see:
  • [GitHub: HRNet](https://github.com/saic-vul/ritm_interactive_segmentation)
  • [Paper: HRNet](https://arxiv.org/pdf/2102.06583.pdf) | ![](/images/hrnet_example.gif) | +| Inside-Outside-Guidance
    (IOG) | AI Tool | The model uses a bounding box and
    inside/outside points to create a mask.
    First of all, you need to create a bounding
    box, wrapping the object.
    Then you need to use positive
    and negative points to say the
    model where is
    a foreground, and where is a background.
    Negative points are optional.

    For more information, see:
  • [GitHub: IOG](https://github.com/shiyinzhang/Inside-Outside-Guidance)
  • [Paper: IOG](https://openaccess.thecvf.com/content_CVPR_2020/papers/Zhang_Interactive_Object_Segmentation_With_Inside-Outside_Guidance_CVPR_2020_paper.pdf) | ![](/images/iog_example.gif) | +| Intelligent scissors | OpenCV | Intelligent scissors is a CV method of creating
    a polygon by placing points with the automatic
    drawing of a line between them. The distance
    between the adjacent points is limited by
    the threshold of action, displayed as a
    red square that is tied to the cursor.

    For more information, see:
  • [Site: Intelligent Scissors Specification](https://docs.opencv.org/4.x/df/d6b/classcv_1_1segmentation_1_1IntelligentScissorsMB.html) | ![int scissors](/images/intelligent_scissors.gif) | @@ -183,7 +183,7 @@ To annotate with detectors, do the following: 1. Click **Magic wand** ![Magic wand](/images/image189.jpg), and go to the **Detectors** tab. 2. From the **Model** drop-down, select model (see [Detectors models](#detectors-models)). 3. From the left drop-down select the DL model label, from the right drop-down - select the matching label of your task. + select the matching label of your task. ![](/images/image187.jpg) @@ -204,11 +204,11 @@ see [Automatic annotation](/docs/manual/advanced/automatic-annotation/). | Mask RCNN | The model generates polygons for each instance of an object in the image.

    For more information, see:
  • [GitHub: Mask RCNN](https://github.com/matterport/Mask_RCNN)
  • [Paper: Mask RCNN](https://arxiv.org/pdf/1703.06870.pdf) | | Faster RCNN | The model generates bounding boxes for each instance of an object in the image.
    In this model, RPN and Fast R-CNN are combined into a single network.

    For more information, see:
  • [GitHub: Faster RCNN](https://github.com/ShaoqingRen/faster_rcnn)
  • [Paper: Faster RCNN](https://arxiv.org/pdf/1506.01497.pdf) | | YOLO v3 | YOLO v3 is a family of object detection architectures and models pre-trained on the COCO dataset.

    For more information, see:
  • [GitHub: YOLO v3](https://github.com/ultralytics/yolov3)
  • [Site: YOLO v3](https://docs.ultralytics.com/#yolov3)
  • [Paper: YOLO v3](https://arxiv.org/pdf/1804.02767v1.pdf) | -| YOLO v5 | YOLO v5 is a family of object detection architectures and models based on the Pytorch framework.

    For more information, see:
  • [GitHub: YOLO v5](https://github.com/ultralytics/yolov5)
  • [Site: YOLO v5](https://docs.ultralytics.com/#yolov5) | +| YOLO v5 | YOLO v5 is a family of object detection architectures and models based on the Pytorch framework.

    For more information, see:
  • [GitHub: YOLO v5](https://github.com/ultralytics/yolov5)
  • [Site: YOLO v5](https://docs.ultralytics.com/#yolov5) | | Semantic segmentation for ADAS | This is a segmentation network to classify each pixel into 20 classes.

    For more information, see:
  • [Site: ADAS](https://docs.openvino.ai/2019_R1/_semantic_segmentation_adas_0001_description_semantic_segmentation_adas_0001.html) | | Mask RCNN with Tensorflow | Mask RCNN version with Tensorflow. The model generates polygons for each instance of an object in the image.

    For more information, see:
  • [GitHub: Mask RCNN](https://github.com/matterport/Mask_RCNN)
  • [Paper: Mask RCNN](https://arxiv.org/pdf/1703.06870.pdf) | | Faster RCNN with Tensorflow | Faster RCNN version with Tensorflow. The model generates bounding boxes for each instance of an object in the image.
    In this model, RPN and Fast R-CNN are combined into a single network.

    For more information, see:
  • [Site: Faster RCNN with Tensorflow](https://docs.openvino.ai/2021.4/omz_models_model_faster_rcnn_inception_v2_coco.html)
  • [Paper: Faster RCNN](https://arxiv.org/pdf/1506.01497.pdf) | -| RetinaNet | Pytorch implementation of RetinaNet object detection.


    For more information, see:
  • [Specification: RetinaNet](https://paperswithcode.com/lib/detectron2/retinanet)
  • [Paper: RetinaNet](https://arxiv.org/pdf/1708.02002.pdf)
  • [Documentation: RetinaNet](https://detectron2.readthedocs.io/en/latest/tutorials/training.html) | +| RetinaNet | Pytorch implementation of RetinaNet object detection.


    For more information, see:
  • [Specification: RetinaNet](https://paperswithcode.com/lib/detectron2/retinanet)
  • [Paper: RetinaNet](https://arxiv.org/pdf/1708.02002.pdf)
  • [Documentation: RetinaNet](https://detectron2.readthedocs.io/en/latest/tutorials/training.html) | | Face Detection | Face detector based on MobileNetV2 as a backbone for indoor and outdoor scenes shot by a front-facing camera.


    For more information, see:
  • [Site: Face Detection 0205](https://docs.openvino.ai/latest/omz_models_model_face_detection_0205.html) | @@ -273,13 +273,12 @@ All annotated objects will be automatically tracked when you move to the next fr -| Model | Tool | Description | Example | -| ----------------------------- | -------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------- | -| TrackerMIL | OpenCV | TrackerMIL model is not bound to
    labels and can be used for any
    object. It is a fast client-side model
    designed to track simple non-overlapping objects.

    For more information, see:
  • [Article: Object Tracking using OpenCV](https://learnopencv.com/tag/mil/) | ![Annotation using a tracker](/images/tracker_mil_detrac.gif) | -| SiamMask | AI Tools | Fast online Object Tracking and Segmentation. The trackable object will
    be tracked automatically if the previous frame
    was the latest keyframe for the object.

    For more information, see:
  • [GitHub: SiamMask](https://github.com/foolwood/SiamMask)
  • [Paper: SiamMask](https://arxiv.org/pdf/1812.05050.pdf) | ![Annotation using a tracker](/images/tracker_ai_tools.gif) | +| Model | Tool | Description | Example | +| ----------------------------- | -------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------- | +| TrackerMIL | OpenCV | TrackerMIL model is not bound to
    labels and can be used for any
    object. It is a fast client-side model
    designed to track simple non-overlapping objects.

    For more information, see:
  • [Article: Object Tracking using OpenCV](https://learnopencv.com/tag/mil/) | ![Annotation using a tracker](/images/tracker_mil_detrac.gif) | +| SiamMask | AI Tools | Fast online Object Tracking and Segmentation. The trackable object will
    be tracked automatically if the previous frame
    was the latest keyframe for the object.

    For more information, see:
  • [GitHub: SiamMask](https://github.com/foolwood/SiamMask)
  • [Paper: SiamMask](https://arxiv.org/pdf/1812.05050.pdf) | ![Annotation using a tracker](/images/tracker_ai_tools.gif) | | Transformer Tracking (TransT) | AI Tools | Simple and efficient online tool for object tracking and segmentation.
    If the previous frame was the latest keyframe
    for the object, the trackable object will be tracked automatically.
    This is a modified version of the PyTracking
    Python framework based on Pytorch


    For more information, see:
  • [GitHub: TransT](https://github.com/chenxin-dlut/TransT)
  • [Paper: TransT](https://arxiv.org/pdf/2103.15436.pdf) | ![Annotation using a tracker](/images/tracker_transit.gif) | - ## OpenCV: histogram equalization diff --git a/site/content/en/images/interactors_SAM.gif b/site/content/en/images/interactors_SAM.gif new file mode 100644 index 0000000000000000000000000000000000000000..f4f0cdf5bae3f219836e4be1f7d5f0fabfa6545f GIT binary patch literal 819715 zcmV)3K+C^JNk%w1VU+@&0eAoaA^!_bMO0HmK~P09E-(WD0000X`2++90000i00000 zl>(jtrw0cL2?`7g3k?hn5DyIx4iFR(4-pg+6A=;=5)&8|7aJE97a0^38y6NJ7#1HH z8yXoK7#biM9wi?jBPAao9vvSf8yP4b8Z99jFe4u;BP1mwB_Jay6e2MtC@>}_Dl91~ zGAJiDC>=Q~Cp<4LLN6pmGb~FtCrLLlLOC=>Iyyf$IXp8nHa0jmF)=bMEif=OEG#c4 zEjTGQKr=f;J~}@^Mm$G9LQ6h8Q9(CPIxto}E?q$~T}m-%NHuFtK4MEjVNOS3P)%7) zPE$!sT1iD-Mm$zTJy1hIQAI~aMoT?OST90UEm223Rz*lqK~h{sQBqJ%Qd?P8TVGRD zW>ipVQ%P)CP;^;Ka#cfXS2uT5ID20?eq2R@Urm2!PRPcjc;F(a8-_JO^IwZn0Gpzcu$#l zU7UPopn`9Ye|VF5Zi;qrfO>U(fQ5IEeQt&4Uu1G$ZFW{{a8qS)QekRPW@k%VVoFYDS2n5UPZub`>7kgA`Xubi2)r=Yi|rM#`I!L_lq 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z(E1Jx41nVI+_`gLdue!h`26|vV3X;>g$tvjqZcn;92)~|%J`*Amo8tvJTWmbIXO8s zH8njwJu?IPmD#zux%v6|D_5>8EG#U75OMYD-azwxqFG&Cy?*`r-(3pG6s$Jo_8rji zf<|S1{oeNhhc()Od4@I0fPw|=DS?h<3-rE^L7LdBexLnsewO(mZtFHl9rOEDqS*ei z-pDuQWMn*>ehl?GNh_klBIoO%Ikjy+> z%)H%A{k%*9e6T^j*bskA=pjsa06IJn9T8|88Dtz4Y!n@AbU4H?Ce$!C%-{$hoJAZU zLjN1_k$MSHx{1*`NinFDBihFjwK9%sP_k6>bCnr|3gD^y+A7(GI`O6kiI!&Zww8k( zZQ|YS5KIDv0>hU8dax&<7Isg9y^8fq;k^%Y3BfZ Date: Mon, 12 Jun 2023 07:44:14 +0300 Subject: [PATCH 4/4] Helm tests: collect container logs (#6013) --- .github/workflows/helm.yml | 23 +++++++++++++++++++++-- helm-chart/values.yaml | 3 --- tests/values.test.yaml | 8 +++++--- 3 files changed, 26 insertions(+), 8 deletions(-) diff --git a/.github/workflows/helm.yml b/.github/workflows/helm.yml index 2e4ab0cb2f6f..d90c33fb6087 100644 --- a/.github/workflows/helm.yml +++ b/.github/workflows/helm.yml @@ -22,7 +22,7 @@ jobs: - uses: actions/checkout@v3 - name: Start minikube - uses: medyagh/setup-minikube@master + uses: medyagh/setup-minikube@latest with: cpus: max memory: max @@ -44,7 +44,7 @@ jobs: - name: Deploy to minikube run: | - printf "traefik:\n service:\n externalIPs:\n - $(minikube ip)\n" >> tests/values.test.yaml + printf " service:\n externalIPs:\n - $(minikube ip)\n" >> tests/values.test.yaml cd helm-chart helm dependency update cd .. @@ -83,3 +83,22 @@ jobs: run: | kubectl cp tests/mounted_file_share/images $(kubectl get pods -l component=server -o jsonpath='{.items[0].metadata.name}'):/home/django/share pytest --timeout 30 --platform=kube -m "not with_external_services" tests/python --log-cli-level DEBUG + + - name: Creating a log file from "cvat" container logs + if: failure() + env: + LOGS_DIR: "${{ github.workspace }}/rest_api_testing" + run: | + mkdir ${LOGS_DIR} + kubectl logs $(kubectl get pods -l component=server -o 'jsonpath={.items[0].metadata.name}') >${LOGS_DIR}/cvat_server.log + kubectl logs $(kubectl get pods -l component=worker-import -o 'jsonpath={.items[0].metadata.name}') >${LOGS_DIR}/cvat_worker_import.log + kubectl logs $(kubectl get pods -l component=worker-export -o 'jsonpath={.items[0].metadata.name}') >${LOGS_DIR}/cvat_worker_export.log + kubectl logs $(kubectl get pods -l component=worker-webhooks -o 'jsonpath={.items[0].metadata.name}') >${LOGS_DIR}/cvat_worker_webhooks.log + kubectl logs $(kubectl get pods -l app.kubernetes.io/name=traefik -o 'jsonpath={.items[0].metadata.name}') >${LOGS_DIR}/traefik.log + + - name: Uploading "cvat" container logs as an artifact + if: failure() + uses: actions/upload-artifact@v3.1.1 + with: + name: rest_api_container_logs + path: "${{ github.workspace }}/rest_api_testing" diff --git a/helm-chart/values.yaml b/helm-chart/values.yaml index ba8337013980..1c6e8bcca2a7 100644 --- a/helm-chart/values.yaml +++ b/helm-chart/values.yaml @@ -372,9 +372,6 @@ ingress: # secretName: ingress-tls-cvat traefik: - logs: - general: - level: INFO service: externalIPs: # - "192.168.49.2" diff --git a/tests/values.test.yaml b/tests/values.test.yaml index e281ecb32143..58c5b66ccf79 100644 --- a/tests/values.test.yaml +++ b/tests/values.test.yaml @@ -24,6 +24,8 @@ cvat: imagePullPolicy: Never traefik: - service: - externalIPs: - - 192.168.49.2 + logs: + general: + level: DEBUG + access: + enabled: true