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{"language": "Python", "id": 32, "repo_owner": "mikel-brostrom", "repo_name": "yolo_tracking", "head_branch": "centroid-asso-support", "workflow_name": "CI CPU testing", "workflow_filename": "ci.yml", "workflow_path": ".github/workflows/ci.yml", "contributor": "mikel-brostrom", "sha_fail": "03669a5d72130c57575bedd657b82c601f08a982", "sha_success": "0948605abb9d6d962450f1bbf9a0b9c96c429b29", "workflow": "# name of the workflow, what it is doing (optional)\nname: CI CPU testing\n\n# events that trigger the workflow (required)\non:\n push:\n branches: [master, CIdebug]\n pull_request:\n # pull request where master is target\n branches: [master]\n\nenv:\n # Directory of PyPi package to be tested\n PACKAGE_DIR: boxmot\n # Minimum acceptable test coverage\n # Increase as you add more tests to increase coverage\n COVERAGE_FAIL_UNDER: 29\n\n# the workflow that gets triggerd\njobs:\n build:\n runs-on: ${{ matrix.os }}\n strategy:\n fail-fast: false\n matrix:\n os: [ubuntu-latest] # skip windows-latest for\n python-version: ['3.8', '3.9', '3.10']\n #model: ['yolov8n', 'yolo_nas_s', yolox_n] # yolo models to test\n #tracking-methods: ['deepocsort', 'ocsort', 'botsort', 'strongsort', 'bytetrack'] # tracking methods to test\n\n # Timeout: https://stackoverflow.com/a/59076067/4521646\n timeout-minutes: 50\n steps:\n\n - uses: actions/checkout@v4 # Check out the repository\n - uses: actions/setup-python@v5 # Prepare environment with python 3.9\n with:\n python-version: ${{ matrix.python-version }}\n cache: 'pip' # caching pip dependencies\n - name: Install requirements\n shell: bash # for Windows compatibility\n run: |\n python -m pip install --upgrade pip setuptools wheel\n pip install -e . pytest pytest-cov --extra-index-url https://download.pytorch.org/whl/cpu\n python --version\n pip --version\n pip list\n\n - name: Tests all tracking options\n shell: bash # for Windows compatibility\n env:\n IMG: ./assets/MOT17-mini/train/MOT17-05-FRCNN/img1/000001.jpg\n run: |\n # deepocsort fro all supported yolo models\n python examples/track.py --tracking-method deepocsort --source $IMG --imgsz 320\n python examples/track.py --yolo-model yolo_nas_s --tracking-method deepocsort --source $IMG --imgsz 320\n # python examples/track.py --yolo-model yolox_n --tracking-method deepocsort --source $IMG --imgsz 320\n\n # hybridsort\n python examples/track.py --tracking-method hybridsort --source $IMG --imgsz 320\n\n # botsort\n python examples/track.py --tracking-method botsort --source $IMG --imgsz 320\n\n # strongsort\n python examples/track.py --tracking-method strongsort --source $IMG --imgsz 320\n\n # ocsort\n python examples/track.py --tracking-method ocsort --source $IMG --imgsz 320\n\n # bytetrack\n python examples/track.py --tracking-method bytetrack --source $IMG --imgsz 320\n\n - name: Pytest tests # after tracking options as this does not download models\n shell: bash # for Windows compatibility\n run: |\n\n # needed in TFLite export\n wget https://github.com/PINTO0309/onnx2tf/releases/download/1.16.31/flatc.tar.gz\n tar -zxvf flatc.tar.gz\n sudo chmod +x flatc\n sudo mv flatc /usr/bin/\n\n pytest --cov=$PACKAGE_DIR --cov-report=html -v tests\n coverage report --fail-under=$COVERAGE_FAIL_UNDER\n\n - name: Tests exported reid models\n env:\n IMG: ./assets/MOT17-mini/train/MOT17-05-FRCNN/img1/000001.jpg\n shell: bash # for Windows compatibility\n run: |\n\n # test exported reid model\n python examples/track.py --reid-model examples/weights/osnet_x0_25_msmt17.torchscript --source $IMG --imgsz 320\n python examples/track.py --reid-model examples/weights/osnet_x0_25_msmt17.onnx --source $IMG --imgsz 320\n #python examples/track.py --reid-model examples/weights/osnet_x0_25_msmt17_saved_model/osnet_x0_25_msmt17_float16.tflite --source $IMG --imgsz 320\n python examples/track.py --reid-model examples/weights/osnet_x0_25_msmt17_openvino_model --source $IMG --imgsz 320\n\n - name: Test tracking with seg models\n env:\n IMG: ./assets/MOT17-mini/train/MOT17-05-FRCNN/img1/000001.jpg\n shell: bash # for Windows compatibility\n run: |\n # tracking with SEG models\n python examples/track.py --tracking-method deepocsort --yolo-model yolov8n-seg.pt --source $IMG\n\n - name: Test tracking with pose models\n env:\n IMG: ./assets/MOT17-mini/train/MOT17-05-FRCNN/img1/000001.jpg\n shell: bash # for Windows compatibility\n run: |\n # tracking with POSE models\n python3 examples/track.py --yolo-model weights/yolov8n.pt --source $IMG --imgsz 320\n\n - name: Test validation on MOT17 subset\n shell: bash # for Windows compatibility\n run: |\n # validation on a few MOT17 imges\n python examples/val.py --tracking-method deepocsort --yolo-model yolov8n.pt --benchmark MOT17-mini --imgsz 320 --conf 0.2\n\n - name: Test evolution on MOT17 subset\n shell: bash # for Windows compatibility\n run: |\n # evolve a for a single set of parameters\n python examples/evolve.py --objectives HOTA,MOTA,IDF1 --benchmark MOT17-mini --n-trials 1 --imgsz 320 --conf 0.2\n", "logs": [{"step_name": "build (ubuntu-latest, 3.8)/6_Pytest tests.txt", "log": "##[group]Run # needed in TFLite export\n\u001b[36;1m\u001b[0m\n\u001b[36;1m# needed in TFLite export\u001b[0m\n\u001b[36;1mwget https://github.com/PINTO0309/onnx2tf/releases/download/1.16.31/flatc.tar.gz\u001b[0m\n\u001b[36;1mtar -zxvf flatc.tar.gz\u001b[0m\n\u001b[36;1msudo chmod +x flatc\u001b[0m\n\u001b[36;1msudo mv flatc /usr/bin/\u001b[0m\n\u001b[36;1m\u001b[0m\n\u001b[36;1mpytest --cov=$PACKAGE_DIR --cov-report=html -v tests\u001b[0m\n\u001b[36;1mcoverage report --fail-under=$COVERAGE_FAIL_UNDER\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n PACKAGE_DIR: boxmot\n COVERAGE_FAIL_UNDER: 29\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n--2024-01-12 20:11:25-- https://github.com/PINTO0309/onnx2tf/releases/download/1.16.31/flatc.tar.gz\nResolving github.com (github.com)... 140.82.112.3\nConnecting to github.com (github.com)|140.82.112.3|:443... connected.\nHTTP request sent, awaiting response... 302 Found\nLocation: https://objects.githubusercontent.com/github-production-release-asset-2e65be/541831874/29499355-44ab-4fb6-86c8-582f4bad68a3?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAVCODYLSA53PQK4ZA%2F20240112%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20240112T201125Z&X-Amz-Expires=300&X-Amz-Signature=3bfcceeafbe583d085cec55f86a8526c6e9f64b963ff80c4ac3797875e856d28&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=541831874&response-content-disposition=attachment%3B%20filename%3Dflatc.tar.gz&response-content-type=application%2Foctet-stream [following]\n--2024-01-12 20:11:25-- 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\u2018flatc.tar.gz\u2019 saved [1382707/1382707]\n\nflatc\n============================= test session starts ==============================\nplatform linux -- Python 3.8.18, pytest-7.4.4, pluggy-1.3.0 -- /opt/hostedtoolcache/Python/3.8.18/x64/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/yolo_tracking/yolo_tracking\nplugins: hydra-core-1.3.2, cov-4.1.0\ncollecting ... collected 14 items\n\ntests/test_exports.py::test_export_torchscript PASSED [ 7%]\ntests/test_exports.py::test_export_onnx PASSED [ 14%]\ntests/test_exports.py::test_export_openvino PASSED [ 21%]\ntests/test_python.py::test_strongsort_instantiation PASSED [ 28%]\ntests/test_python.py::test_botsort_instantiation PASSED [ 35%]\ntests/test_python.py::test_deepocsort_instantiation PASSED [ 42%]\ntests/test_python.py::test_ocsort_instantiation PASSED [ 50%]\ntests/test_python.py::test_bytetrack_instantiation PASSED [ 57%]\ntests/test_python.py::test_deepocsort_output FAILED [ 64%]\ntests/test_python.py::test_ocsort_output PASSED [ 71%]\ntests/test_python.py::test_botsort_output PASSED [ 78%]\ntests/test_python.py::test_bytetrack_output PASSED [ 85%]\ntests/test_python.py::test_strongsort_output PASSED [ 92%]\ntests/test_python.py::test_gsi PASSED [100%]\n\n=================================== FAILURES ===================================\n____________________________ test_deepocsort_output ____________________________\n\n def test_deepocsort_output():\n tracker_conf = get_tracker_config('deepocsort')\n tracker = create_tracker(\n tracker_type='deepocsort',\n tracker_config=tracker_conf,\n reid_weights=WEIGHTS / 'mobilenetv2_x1_4_dukemtmcreid.pt',\n device='cpu',\n half=False,\n per_class=False\n )\n rgb = np.random.randint(255, size=(640, 640, 3), dtype=np.uint8)\n det = np.array([[144, 212, 578, 480, 0.82, 0],\n [425, 281, 576, 472, 0.56, 65]])\n output = tracker.update(det, rgb)\n # Works since frame count is less than min hits (1 <= 2)\n assert output.shape == (2, 8) # two inputs should give two outputs\n output = np.flip(np.delete(output, [4, 7], axis=1), axis=0)\n assert_allclose(det, output, atol=1, rtol=7e-3, verbose=True)\n \n # Instantiate new tracker and ensure minimum number of hits works\n tracker = create_tracker(\n tracker_type='deepocsort',\n tracker_config=tracker_conf,\n reid_weights=WEIGHTS / 'mobilenetv2_x1_4_dukemtmcreid.pt',\n device='cpu',\n half=False,\n per_class=False\n )\n tracker.min_hits = 2\n output = tracker.update(np.empty((0, 6)), rgb)\n assert output.size == 0\n output = tracker.update(np.empty((0, 6)), rgb)\n assert output.size == 0\n output = tracker.update(det, rgb)\n assert output.size == 0\n> output = tracker.update(det, rgb)\n\ntests/test_python.py:86: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \nboxmot/trackers/deepocsort/deep_ocsort.py:434: in update\n matched, unmatched_dets, unmatched_trks = associate(\nboxmot/utils/association.py:146: in associate\n iou_matrix = run_asso_func(asso_func, detections, trackers, w, h)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nfunc = <function giou_batch at 0x7f1dba152ca0>\nargs = (array([[1.44e+02, 2.12e+02, 5.78e+02, 4.80e+02, 8.20e-01],\n [4.25e+02, 2.81e+02, 5.76e+02, 4.72e+02, 5.60e-01]]), array([[144., 212., 578., 480., 0.],\n [425., 281., 576., 472., 0.]]), 640, 640)\n\n def run_asso_func(func, *args):\n \"\"\"\n Wrapper function that checks the inputs to the association functions\n and then call either one of the iou association functions or centroid.\n \n Parameters:\n func: The batch function to call (either *iou*_batch or centroid_batch).\n *args: Variable length argument list, containing either bounding boxes and optionally size parameters.\n \"\"\"\n if func not in [iou_batch, giou_batch, diou_batch, ciou_batch, centroid_batch]:\n raise ValueError(\"Invalid function specified. Must be either '(g,d,c, )iou_batch' or 'centroid_batch'.\")\n \n if func is (iou_batch or giou_batch or diou_batch or ciou_batch):\n if len(args) != 4 or not all(isinstance(arg, (list, np.ndarray)) for arg in args[0:2]):\n raise ValueError(\"Invalid arguments for iou_batch. Expected two bounding boxes.\")\n return func(*args)\n elif func is centroid_batch:\n if len(args) != 4 or not all(isinstance(arg, (list, np.ndarray)) for arg in args[:2]) or not all(isinstance(arg, (int)) for arg in args[2:]):\n raise ValueError(\"Invalid arguments for centroid_batch. Expected two bounding boxes and two size parameters.\")\n return func(*args)\n else:\n> raise ValueError(\"No such association method\")\nE ValueError: No such association method\n\nboxmot/utils/iou.py:212: ValueError\n----------------------------- Captured stderr call -----------------------------\nDownloading...\nFrom: https://drive.google.com/uc?id=12uD5FeVqLg9-AFDju2L7SQxjmPb4zpBN\nTo: /home/runner/work/yolo_tracking/yolo_tracking/examples/weights/mobilenetv2_x1_4_dukemtmcreid.pt\n\n 0%| | 0.00/22.4M [00:00<?, ?B/s]\n 9%|\u2589 | 2.10M/22.4M [00:00<00:01, 19.5MB/s]\n 40%|\u2588\u2588\u2588\u2589 | 8.91M/22.4M [00:00<00:00, 43.6MB/s]\n 82%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 18.4M/22.4M [00:00<00:00, 65.1MB/s]\n100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 22.4M/22.4M [00:00<00:00, 64.2MB/s]\n\u001b[32m2024-01-12 20:11:55.585\u001b[0m | \u001b[32m\u001b[1mSUCCESS \u001b[0m | \u001b[36mboxmot.appearance.reid_model_factory\u001b[0m:\u001b[36mload_pretrained_weights\u001b[0m:\u001b[36m207\u001b[0m - \u001b[32m\u001b[1mSuccessfully loaded pretrained weights from \"/home/runner/work/yolo_tracking/yolo_tracking/examples/weights/mobilenetv2_x1_4_dukemtmcreid.pt\"\u001b[0m\n\u001b[32m2024-01-12 20:11:55.738\u001b[0m | \u001b[32m\u001b[1mSUCCESS \u001b[0m | \u001b[36mboxmot.appearance.reid_model_factory\u001b[0m:\u001b[36mload_pretrained_weights\u001b[0m:\u001b[36m207\u001b[0m - \u001b[32m\u001b[1mSuccessfully loaded pretrained weights from \"/home/runner/work/yolo_tracking/yolo_tracking/examples/weights/mobilenetv2_x1_4_dukemtmcreid.pt\"\u001b[0m\n=============================== warnings summary ===============================\nboxmot/utils/checks.py:5\n /home/runner/work/yolo_tracking/yolo_tracking/boxmot/utils/checks.py:5: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html\n import pkg_resources\n\n../../../../../opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pkg_resources/__init__.py:2868\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pkg_resources/__init__.py:2868: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('mpl_toolkits')`.\n Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages\n declare_namespace(pkg)\n\n../../../../../opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pkg_resources/__init__.py:2868\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pkg_resources/__init__.py:2868: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google')`.\n Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages\n declare_namespace(pkg)\n\n../../../../../opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pkg_resources/__init__.py:2868\n../../../../../opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pkg_resources/__init__.py:2868\n../../../../../opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pkg_resources/__init__.py:2868\n../../../../../opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pkg_resources/__init__.py:2868\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pkg_resources/__init__.py:2868: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('sphinxcontrib')`.\n Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages\n declare_namespace(pkg)\n\ntests/test_exports.py::test_export_onnx\n /home/runner/work/yolo_tracking/yolo_tracking/boxmot/appearance/backbones/osnet.py:389: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!\n if return_featuremaps:\n\ntests/test_exports.py::test_export_openvino\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/defusedxml/__init__.py:30: DeprecationWarning: defusedxml.cElementTree is deprecated, import from defusedxml.ElementTree instead.\n from . import cElementTree\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n\n---------- coverage: platform linux, python 3.8.18-final-0 -----------\nCoverage HTML written to dir htmlcov\n\n=========================== short test summary info ============================\nFAILED tests/test_python.py::test_deepocsort_output - ValueError: No such association method\n================== 1 failed, 13 passed, 9 warnings in 31.85s ===================\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (ubuntu-latest, 3.9)/6_Pytest tests.txt", "log": "##[group]Run # needed in TFLite export\n\u001b[36;1m\u001b[0m\n\u001b[36;1m# needed in TFLite export\u001b[0m\n\u001b[36;1mwget https://github.com/PINTO0309/onnx2tf/releases/download/1.16.31/flatc.tar.gz\u001b[0m\n\u001b[36;1mtar -zxvf flatc.tar.gz\u001b[0m\n\u001b[36;1msudo chmod +x flatc\u001b[0m\n\u001b[36;1msudo mv flatc /usr/bin/\u001b[0m\n\u001b[36;1m\u001b[0m\n\u001b[36;1mpytest --cov=$PACKAGE_DIR --cov-report=html -v tests\u001b[0m\n\u001b[36;1mcoverage report --fail-under=$COVERAGE_FAIL_UNDER\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n PACKAGE_DIR: boxmot\n COVERAGE_FAIL_UNDER: 29\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n--2024-01-12 20:11:58-- https://github.com/PINTO0309/onnx2tf/releases/download/1.16.31/flatc.tar.gz\nResolving github.com (github.com)... 192.30.255.113\nConnecting to github.com (github.com)|192.30.255.113|:443... connected.\nHTTP request sent, awaiting response... 302 Found\nLocation: https://objects.githubusercontent.com/github-production-release-asset-2e65be/541831874/29499355-44ab-4fb6-86c8-582f4bad68a3?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAVCODYLSA53PQK4ZA%2F20240112%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20240112T201159Z&X-Amz-Expires=300&X-Amz-Signature=709497883dd2c2a9471410daf12c63e704acb6b779fb216aa16d512cc5577229&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=541831874&response-content-disposition=attachment%3B%20filename%3Dflatc.tar.gz&response-content-type=application%2Foctet-stream [following]\n--2024-01-12 20:11:59-- https://objects.githubusercontent.com/github-production-release-asset-2e65be/541831874/29499355-44ab-4fb6-86c8-582f4bad68a3?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAVCODYLSA53PQK4ZA%2F20240112%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20240112T201159Z&X-Amz-Expires=300&X-Amz-Signature=709497883dd2c2a9471410daf12c63e704acb6b779fb216aa16d512cc5577229&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=541831874&response-content-disposition=attachment%3B%20filename%3Dflatc.tar.gz&response-content-type=application%2Foctet-stream\nResolving objects.githubusercontent.com (objects.githubusercontent.com)... 185.199.111.133, 185.199.108.133, 185.199.109.133, ...\nConnecting to objects.githubusercontent.com (objects.githubusercontent.com)|185.199.111.133|:443... connected.\nHTTP request sent, awaiting response... 200 OK\nLength: 1382707 (1.3M) [application/octet-stream]\nSaving to: \u2018flatc.tar.gz\u2019\n\n 0K .......... .......... .......... .......... .......... 3% 10.7M 0s\n 50K .......... .......... .......... .......... .......... 7% 44.1M 0s\n 100K .......... .......... .......... .......... .......... 11% 89.2M 0s\n 150K .......... .......... .......... .......... .......... 14% 62.8M 0s\n 200K .......... .......... .......... .......... .......... 18% 108M 0s\n 250K .......... .......... .......... .......... .......... 22% 163M 0s\n 300K .......... .......... .......... .......... .......... 25% 186M 0s\n 350K .......... .......... .......... .......... .......... 29% 202M 0s\n 400K .......... .......... .......... .......... .......... 33% 108M 0s\n 450K .......... .......... .......... .......... .......... 37% 199M 0s\n 500K .......... .......... .......... .......... .......... 40% 190M 0s\n 550K .......... .......... .......... .......... .......... 44% 198M 0s\n 600K .......... .......... .......... .......... .......... 48% 171M 0s\n 650K .......... .......... .......... .......... .......... 51% 212M 0s\n 700K .......... .......... .......... 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\u2018flatc.tar.gz\u2019 saved [1382707/1382707]\n\nflatc\n============================= test session starts ==============================\nplatform linux -- Python 3.9.18, pytest-7.4.4, pluggy-1.3.0 -- /opt/hostedtoolcache/Python/3.9.18/x64/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/yolo_tracking/yolo_tracking\nplugins: hydra-core-1.3.2, cov-4.1.0\ncollecting ... collected 14 items\n\ntests/test_exports.py::test_export_torchscript PASSED [ 7%]\ntests/test_exports.py::test_export_onnx PASSED [ 14%]\ntests/test_exports.py::test_export_openvino PASSED [ 21%]\ntests/test_python.py::test_strongsort_instantiation PASSED [ 28%]\ntests/test_python.py::test_botsort_instantiation PASSED [ 35%]\ntests/test_python.py::test_deepocsort_instantiation PASSED [ 42%]\ntests/test_python.py::test_ocsort_instantiation PASSED [ 50%]\ntests/test_python.py::test_bytetrack_instantiation PASSED [ 57%]\ntests/test_python.py::test_deepocsort_output FAILED [ 64%]\ntests/test_python.py::test_ocsort_output PASSED [ 71%]\ntests/test_python.py::test_botsort_output PASSED [ 78%]\ntests/test_python.py::test_bytetrack_output PASSED [ 85%]\ntests/test_python.py::test_strongsort_output PASSED [ 92%]\ntests/test_python.py::test_gsi PASSED [100%]\n\n=================================== FAILURES ===================================\n____________________________ test_deepocsort_output ____________________________\n\n def test_deepocsort_output():\n tracker_conf = get_tracker_config('deepocsort')\n tracker = create_tracker(\n tracker_type='deepocsort',\n tracker_config=tracker_conf,\n reid_weights=WEIGHTS / 'mobilenetv2_x1_4_dukemtmcreid.pt',\n device='cpu',\n half=False,\n per_class=False\n )\n rgb = np.random.randint(255, size=(640, 640, 3), dtype=np.uint8)\n det = np.array([[144, 212, 578, 480, 0.82, 0],\n [425, 281, 576, 472, 0.56, 65]])\n output = tracker.update(det, rgb)\n # Works since frame count is less than min hits (1 <= 2)\n assert output.shape == (2, 8) # two inputs should give two outputs\n output = np.flip(np.delete(output, [4, 7], axis=1), axis=0)\n assert_allclose(det, output, atol=1, rtol=7e-3, verbose=True)\n \n # Instantiate new tracker and ensure minimum number of hits works\n tracker = create_tracker(\n tracker_type='deepocsort',\n tracker_config=tracker_conf,\n reid_weights=WEIGHTS / 'mobilenetv2_x1_4_dukemtmcreid.pt',\n device='cpu',\n half=False,\n per_class=False\n )\n tracker.min_hits = 2\n output = tracker.update(np.empty((0, 6)), rgb)\n assert output.size == 0\n output = tracker.update(np.empty((0, 6)), rgb)\n assert output.size == 0\n output = tracker.update(det, rgb)\n assert output.size == 0\n> output = tracker.update(det, rgb)\n\ntests/test_python.py:86: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \nboxmot/trackers/deepocsort/deep_ocsort.py:434: in update\n matched, unmatched_dets, unmatched_trks = associate(\nboxmot/utils/association.py:146: in associate\n iou_matrix = run_asso_func(asso_func, detections, trackers, w, h)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nfunc = <function giou_batch at 0x7ff526351e50>\nargs = (array([[1.44e+02, 2.12e+02, 5.78e+02, 4.80e+02, 8.20e-01],\n [4.25e+02, 2.81e+02, 5.76e+02, 4.72e+02, 5.60e-01]]), array([[144., 212., 578., 480., 0.],\n [425., 281., 576., 472., 0.]]), 640, 640)\n\n def run_asso_func(func, *args):\n \"\"\"\n Wrapper function that checks the inputs to the association functions\n and then call either one of the iou association functions or centroid.\n \n Parameters:\n func: The batch function to call (either *iou*_batch or centroid_batch).\n *args: Variable length argument list, containing either bounding boxes and optionally size parameters.\n \"\"\"\n if func not in [iou_batch, giou_batch, diou_batch, ciou_batch, centroid_batch]:\n raise ValueError(\"Invalid function specified. Must be either '(g,d,c, )iou_batch' or 'centroid_batch'.\")\n \n if func is (iou_batch or giou_batch or diou_batch or ciou_batch):\n if len(args) != 4 or not all(isinstance(arg, (list, np.ndarray)) for arg in args[0:2]):\n raise ValueError(\"Invalid arguments for iou_batch. Expected two bounding boxes.\")\n return func(*args)\n elif func is centroid_batch:\n if len(args) != 4 or not all(isinstance(arg, (list, np.ndarray)) for arg in args[:2]) or not all(isinstance(arg, (int)) for arg in args[2:]):\n raise ValueError(\"Invalid arguments for centroid_batch. Expected two bounding boxes and two size parameters.\")\n return func(*args)\n else:\n> raise ValueError(\"No such association method\")\nE ValueError: No such association method\n\nboxmot/utils/iou.py:212: ValueError\n----------------------------- Captured stderr call -----------------------------\nDownloading...\nFrom: https://drive.google.com/uc?id=12uD5FeVqLg9-AFDju2L7SQxjmPb4zpBN\nTo: /home/runner/work/yolo_tracking/yolo_tracking/examples/weights/mobilenetv2_x1_4_dukemtmcreid.pt\n\n 0%| | 0.00/22.4M [00:00<?, ?B/s]\n 5%|\u258d | 1.05M/22.4M [00:00<00:02, 9.56MB/s]\n 21%|\u2588\u2588 | 4.72M/22.4M [00:00<00:00, 21.4MB/s]\n 54%|\u2588\u2588\u2588\u2588\u2588\u258e | 12.1M/22.4M [00:00<00:00, 32.0MB/s]\n 77%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 17.3M/22.4M [00:00<00:00, 32.2MB/s]\n100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 22.4M/22.4M [00:00<00:00, 37.0MB/s]\n\u001b[32m2024-01-12 20:12:31.441\u001b[0m | \u001b[32m\u001b[1mSUCCESS \u001b[0m | \u001b[36mboxmot.appearance.reid_model_factory\u001b[0m:\u001b[36mload_pretrained_weights\u001b[0m:\u001b[36m207\u001b[0m - \u001b[32m\u001b[1mSuccessfully loaded pretrained weights from \"/home/runner/work/yolo_tracking/yolo_tracking/examples/weights/mobilenetv2_x1_4_dukemtmcreid.pt\"\u001b[0m\n\u001b[32m2024-01-12 20:12:31.599\u001b[0m | \u001b[32m\u001b[1mSUCCESS \u001b[0m | \u001b[36mboxmot.appearance.reid_model_factory\u001b[0m:\u001b[36mload_pretrained_weights\u001b[0m:\u001b[36m207\u001b[0m - \u001b[32m\u001b[1mSuccessfully loaded pretrained weights from \"/home/runner/work/yolo_tracking/yolo_tracking/examples/weights/mobilenetv2_x1_4_dukemtmcreid.pt\"\u001b[0m\n=============================== warnings summary ===============================\nboxmot/utils/checks.py:5\n /home/runner/work/yolo_tracking/yolo_tracking/boxmot/utils/checks.py:5: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html\n import pkg_resources\n\n../../../../../opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pkg_resources/__init__.py:2868\n /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pkg_resources/__init__.py:2868: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google')`.\n Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages\n declare_namespace(pkg)\n\n../../../../../opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pkg_resources/__init__.py:2868\n../../../../../opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pkg_resources/__init__.py:2868\n../../../../../opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pkg_resources/__init__.py:2868\n../../../../../opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pkg_resources/__init__.py:2868\n /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pkg_resources/__init__.py:2868: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('sphinxcontrib')`.\n Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages\n declare_namespace(pkg)\n\ntests/test_exports.py::test_export_onnx\n /home/runner/work/yolo_tracking/yolo_tracking/boxmot/appearance/backbones/osnet.py:389: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!\n if return_featuremaps:\n\ntests/test_exports.py::test_export_openvino\n /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/defusedxml/__init__.py:30: DeprecationWarning: defusedxml.cElementTree is deprecated, import from defusedxml.ElementTree instead.\n from . import cElementTree\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n\n---------- coverage: platform linux, python 3.9.18-final-0 -----------\nCoverage HTML written to dir htmlcov\n\n=========================== short test summary info ============================\nFAILED tests/test_python.py::test_deepocsort_output - ValueError: No such association method\n================== 1 failed, 13 passed, 8 warnings in 33.86s ===================\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (ubuntu-latest, 3.10)/6_Pytest tests.txt", "log": "##[group]Run # needed in TFLite export\n\u001b[36;1m\u001b[0m\n\u001b[36;1m# needed in TFLite export\u001b[0m\n\u001b[36;1mwget https://github.com/PINTO0309/onnx2tf/releases/download/1.16.31/flatc.tar.gz\u001b[0m\n\u001b[36;1mtar -zxvf flatc.tar.gz\u001b[0m\n\u001b[36;1msudo chmod +x flatc\u001b[0m\n\u001b[36;1msudo mv flatc /usr/bin/\u001b[0m\n\u001b[36;1m\u001b[0m\n\u001b[36;1mpytest --cov=$PACKAGE_DIR --cov-report=html -v tests\u001b[0m\n\u001b[36;1mcoverage report --fail-under=$COVERAGE_FAIL_UNDER\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n PACKAGE_DIR: boxmot\n COVERAGE_FAIL_UNDER: 29\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\n--2024-01-12 20:12:02-- https://github.com/PINTO0309/onnx2tf/releases/download/1.16.31/flatc.tar.gz\nResolving github.com (github.com)... 140.82.113.3\nConnecting to github.com (github.com)|140.82.113.3|:443... connected.\nHTTP request sent, awaiting response... 302 Found\nLocation: https://objects.githubusercontent.com/github-production-release-asset-2e65be/541831874/29499355-44ab-4fb6-86c8-582f4bad68a3?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAVCODYLSA53PQK4ZA%2F20240112%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20240112T201203Z&X-Amz-Expires=300&X-Amz-Signature=f339441879645b502b6bf0bbc8e04deb0dcdf54ed1dcd223e8a7e04adef107ad&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=541831874&response-content-disposition=attachment%3B%20filename%3Dflatc.tar.gz&response-content-type=application%2Foctet-stream [following]\n--2024-01-12 20:12:03-- https://objects.githubusercontent.com/github-production-release-asset-2e65be/541831874/29499355-44ab-4fb6-86c8-582f4bad68a3?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAVCODYLSA53PQK4ZA%2F20240112%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20240112T201203Z&X-Amz-Expires=300&X-Amz-Signature=f339441879645b502b6bf0bbc8e04deb0dcdf54ed1dcd223e8a7e04adef107ad&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=541831874&response-content-disposition=attachment%3B%20filename%3Dflatc.tar.gz&response-content-type=application%2Foctet-stream\nResolving objects.githubusercontent.com (objects.githubusercontent.com)... 185.199.108.133, 185.199.110.133, 185.199.109.133, ...\nConnecting to objects.githubusercontent.com (objects.githubusercontent.com)|185.199.108.133|:443... connected.\nHTTP request sent, awaiting response... 200 OK\nLength: 1382707 (1.3M) [application/octet-stream]\nSaving to: \u2018flatc.tar.gz\u2019\n\n 0K .......... .......... .......... .......... .......... 3% 5.77M 0s\n 50K .......... .......... .......... .......... .......... 7% 6.18M 0s\n 100K .......... .......... .......... .......... .......... 11% 30.6M 0s\n 150K .......... .......... .......... .......... .......... 14% 39.6M 0s\n 200K .......... .......... .......... .......... .......... 18% 9.54M 0s\n 250K .......... .......... .......... .......... .......... 22% 49.5M 0s\n 300K .......... .......... .......... .......... .......... 25% 65.1M 0s\n 350K .......... .......... .......... .......... .......... 29% 45.1M 0s\n 400K .......... .......... .......... .......... .......... 33% 47.7M 0s\n 450K .......... .......... .......... .......... .......... 37% 86.6M 0s\n 500K .......... .......... .......... .......... .......... 40% 13.9M 0s\n 550K .......... .......... .......... .......... .......... 44% 44.2M 0s\n 600K .......... .......... .......... .......... .......... 48% 74.1M 0s\n 650K .......... .......... .......... .......... .......... 51% 127M 0s\n 700K .......... .......... .......... .......... .......... 55% 88.8M 0s\n 750K .......... .......... .......... .......... .......... 59% 126M 0s\n 800K .......... .......... .......... .......... .......... 62% 178M 0s\n 850K .......... .......... .......... .......... .......... 66% 77.3M 0s\n 900K .......... .......... .......... .......... .......... 70% 209M 0s\n 950K .......... .......... .......... .......... .......... 74% 180M 0s\n 1000K .......... .......... .......... .......... .......... 77% 159M 0s\n 1050K .......... .......... .......... .......... .......... 81% 14.6M 0s\n 1100K .......... .......... .......... .......... .......... 85% 52.9M 0s\n 1150K .......... .......... .......... .......... .......... 88% 186M 0s\n 1200K .......... .......... .......... .......... .......... 92% 127M 0s\n 1250K .......... .......... .......... .......... .......... 96% 210M 0s\n 1300K .......... .......... .......... .......... .......... 99% 216M 0s\n 1350K 100% 8.87M=0.04s\n\n2024-01-12 20:12:03 (31.1 MB/s) - \u2018flatc.tar.gz\u2019 saved [1382707/1382707]\n\nflatc\n============================= test session starts ==============================\nplatform linux -- Python 3.10.13, pytest-7.4.4, pluggy-1.3.0 -- /opt/hostedtoolcache/Python/3.10.13/x64/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/yolo_tracking/yolo_tracking\nplugins: hydra-core-1.3.2, cov-4.1.0\ncollecting ... collected 14 items\n\ntests/test_exports.py::test_export_torchscript PASSED [ 7%]\ntests/test_exports.py::test_export_onnx PASSED [ 14%]\ntests/test_exports.py::test_export_openvino PASSED [ 21%]\ntests/test_python.py::test_strongsort_instantiation PASSED [ 28%]\ntests/test_python.py::test_botsort_instantiation PASSED [ 35%]\ntests/test_python.py::test_deepocsort_instantiation PASSED [ 42%]\ntests/test_python.py::test_ocsort_instantiation PASSED [ 50%]\ntests/test_python.py::test_bytetrack_instantiation PASSED [ 57%]\ntests/test_python.py::test_deepocsort_output FAILED [ 64%]\ntests/test_python.py::test_ocsort_output PASSED [ 71%]\ntests/test_python.py::test_botsort_output PASSED [ 78%]\ntests/test_python.py::test_bytetrack_output PASSED [ 85%]\ntests/test_python.py::test_strongsort_output PASSED [ 92%]\ntests/test_python.py::test_gsi PASSED [100%]\n\n=================================== FAILURES ===================================\n____________________________ test_deepocsort_output ____________________________\n\n def test_deepocsort_output():\n tracker_conf = get_tracker_config('deepocsort')\n tracker = create_tracker(\n tracker_type='deepocsort',\n tracker_config=tracker_conf,\n reid_weights=WEIGHTS / 'mobilenetv2_x1_4_dukemtmcreid.pt',\n device='cpu',\n half=False,\n per_class=False\n )\n rgb = np.random.randint(255, size=(640, 640, 3), dtype=np.uint8)\n det = np.array([[144, 212, 578, 480, 0.82, 0],\n [425, 281, 576, 472, 0.56, 65]])\n output = tracker.update(det, rgb)\n # Works since frame count is less than min hits (1 <= 2)\n assert output.shape == (2, 8) # two inputs should give two outputs\n output = np.flip(np.delete(output, [4, 7], axis=1), axis=0)\n assert_allclose(det, output, atol=1, rtol=7e-3, verbose=True)\n \n # Instantiate new tracker and ensure minimum number of hits works\n tracker = create_tracker(\n tracker_type='deepocsort',\n tracker_config=tracker_conf,\n reid_weights=WEIGHTS / 'mobilenetv2_x1_4_dukemtmcreid.pt',\n device='cpu',\n half=False,\n per_class=False\n )\n tracker.min_hits = 2\n output = tracker.update(np.empty((0, 6)), rgb)\n assert output.size == 0\n output = tracker.update(np.empty((0, 6)), rgb)\n assert output.size == 0\n output = tracker.update(det, rgb)\n assert output.size == 0\n> output = tracker.update(det, rgb)\n\ntests/test_python.py:86: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \nboxmot/trackers/deepocsort/deep_ocsort.py:434: in update\n matched, unmatched_dets, unmatched_trks = associate(\nboxmot/utils/association.py:146: in associate\n iou_matrix = run_asso_func(asso_func, detections, trackers, w, h)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nfunc = <function giou_batch at 0x7f20a69f0700>\nargs = (array([[1.44e+02, 2.12e+02, 5.78e+02, 4.80e+02, 8.20e-01],\n [4.25e+02, 2.81e+02, 5.76e+02, 4.72e+02, 5.60e-01]]), array([[144., 212., 578., 480., 0.],\n [425., 281., 576., 472., 0.]]), 640, 640)\n\n def run_asso_func(func, *args):\n \"\"\"\n Wrapper function that checks the inputs to the association functions\n and then call either one of the iou association functions or centroid.\n \n Parameters:\n func: The batch function to call (either *iou*_batch or centroid_batch).\n *args: Variable length argument list, containing either bounding boxes and optionally size parameters.\n \"\"\"\n if func not in [iou_batch, giou_batch, diou_batch, ciou_batch, centroid_batch]:\n raise ValueError(\"Invalid function specified. Must be either '(g,d,c, )iou_batch' or 'centroid_batch'.\")\n \n if func is (iou_batch or giou_batch or diou_batch or ciou_batch):\n if len(args) != 4 or not all(isinstance(arg, (list, np.ndarray)) for arg in args[0:2]):\n raise ValueError(\"Invalid arguments for iou_batch. Expected two bounding boxes.\")\n return func(*args)\n elif func is centroid_batch:\n if len(args) != 4 or not all(isinstance(arg, (list, np.ndarray)) for arg in args[:2]) or not all(isinstance(arg, (int)) for arg in args[2:]):\n raise ValueError(\"Invalid arguments for centroid_batch. Expected two bounding boxes and two size parameters.\")\n return func(*args)\n else:\n> raise ValueError(\"No such association method\")\nE ValueError: No such association method\n\nboxmot/utils/iou.py:212: ValueError\n----------------------------- Captured stderr call -----------------------------\nDownloading...\nFrom: https://drive.google.com/uc?id=12uD5FeVqLg9-AFDju2L7SQxjmPb4zpBN\nTo: /home/runner/work/yolo_tracking/yolo_tracking/examples/weights/mobilenetv2_x1_4_dukemtmcreid.pt\n\n 0%| | 0.00/22.4M [00:00<?, ?B/s]\n 2%|\u258f | 524k/22.4M [00:00<00:05, 3.80MB/s]\n 35%|\u2588\u2588\u2588\u258c | 7.86M/22.4M [00:00<00:00, 38.7MB/s]\n 75%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 16.8M/22.4M [00:00<00:00, 58.3MB/s]\n100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 22.4M/22.4M [00:00<00:00, 54.7MB/s]\n\u001b[32m2024-01-12 20:12:35.371\u001b[0m | \u001b[32m\u001b[1mSUCCESS \u001b[0m | \u001b[36mboxmot.appearance.reid_model_factory\u001b[0m:\u001b[36mload_pretrained_weights\u001b[0m:\u001b[36m207\u001b[0m - \u001b[32m\u001b[1mSuccessfully loaded pretrained weights from \"/home/runner/work/yolo_tracking/yolo_tracking/examples/weights/mobilenetv2_x1_4_dukemtmcreid.pt\"\u001b[0m\n\u001b[32m2024-01-12 20:12:35.534\u001b[0m | \u001b[32m\u001b[1mSUCCESS \u001b[0m | \u001b[36mboxmot.appearance.reid_model_factory\u001b[0m:\u001b[36mload_pretrained_weights\u001b[0m:\u001b[36m207\u001b[0m - \u001b[32m\u001b[1mSuccessfully loaded pretrained weights from \"/home/runner/work/yolo_tracking/yolo_tracking/examples/weights/mobilenetv2_x1_4_dukemtmcreid.pt\"\u001b[0m\n=============================== warnings summary ===============================\nboxmot/utils/checks.py:5\n /home/runner/work/yolo_tracking/yolo_tracking/boxmot/utils/checks.py:5: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html\n import pkg_resources\n\n../../../../../opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pkg_resources/__init__.py:2868\n /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pkg_resources/__init__.py:2868: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google')`.\n Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages\n declare_namespace(pkg)\n\n../../../../../opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pkg_resources/__init__.py:2868\n../../../../../opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pkg_resources/__init__.py:2868\n../../../../../opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pkg_resources/__init__.py:2868\n../../../../../opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pkg_resources/__init__.py:2868\n /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pkg_resources/__init__.py:2868: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('sphinxcontrib')`.\n Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages\n declare_namespace(pkg)\n\ntests/test_exports.py::test_export_onnx\n /home/runner/work/yolo_tracking/yolo_tracking/boxmot/appearance/backbones/osnet.py:389: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!\n if return_featuremaps:\n\ntests/test_exports.py::test_export_openvino\n /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/defusedxml/__init__.py:30: DeprecationWarning: defusedxml.cElementTree is deprecated, import from defusedxml.ElementTree instead.\n from . import cElementTree\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n\n---------- coverage: platform linux, python 3.10.13-final-0 ----------\nCoverage HTML written to dir htmlcov\n\n=========================== short test summary info ============================\nFAILED tests/test_python.py::test_deepocsort_output - ValueError: No such association method\n================== 1 failed, 13 passed, 8 warnings in 33.78s ===================\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/boxmot/utils/iou.py b/boxmot/utils/iou.py\nindex d8bfc7e..144f40f 100644\n--- a/boxmot/utils/iou.py\n+++ b/boxmot/utils/iou.py\n@@ -200,10 +200,10 @@ def run_asso_func(func, *args):\n if func not in [iou_batch, giou_batch, diou_batch, ciou_batch, centroid_batch]:\n raise ValueError(\"Invalid function specified. Must be either '(g,d,c, )iou_batch' or 'centroid_batch'.\")\n \n- if func is (iou_batch or giou_batch or diou_batch or ciou_batch):\n+ if func in (iou_batch, giou_batch, diou_batch, ciou_batch):\n if len(args) != 4 or not all(isinstance(arg, (list, np.ndarray)) for arg in args[0:2]):\n raise ValueError(\"Invalid arguments for iou_batch. Expected two bounding boxes.\")\n- return func(*args)\n+ return func(*args[0:2])\n elif func is centroid_batch:\n if len(args) != 4 or not all(isinstance(arg, (list, np.ndarray)) for arg in args[:2]) or not all(isinstance(arg, (int)) for arg in args[2:]):\n raise ValueError(\"Invalid arguments for centroid_batch. Expected two bounding boxes and two size parameters.\")\n", "difficulty": 3, "changed_files": ["boxmot/utils/iou.py"], "commit_link": "https://github.com/mikel-brostrom/yolo_tracking/tree/03669a5d72130c57575bedd657b82c601f08a982"} |