2025数据科学与大数据毕设一套(论文+程序源代码+数据库)基于YOLOv8的车流量实时监测系统分析与实现本科定稿过AI.zip原创优质

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2025数据科学与大数据毕设一套(论文+程序源代码+数据库)基于YOLOv8的车流量实时监测系统分析与实现本科定稿过AI.zip

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202372450157-段成龙-基于YOLOv8的车流量实时监测系统分析与实现.docx(7.27 MB)
graduation_prj
- .github
  - dependabot.yml(630 B)
  - ISSUE_TEMPLATE
    - bug-report.yml(3.24 KB)
    - config.yml(363 B)
    - feature-request.yml(1.76 KB)
    - question.yml(1.14 KB)
  - translate-readme.yml(701 B)
  - workflows
    - ci.yaml(12.85 KB)
    - cla.yml(1.39 KB)
    - codeql.yaml(1.15 KB)
    - docker.yaml(6.18 KB)
    - greetings.yml(4.86 KB)
    - links.yml(2.03 KB)
    - publish.yml(5.55 KB)
    - stale.yml(2.31 KB)
- .gitignore(2.24 KB)
- .idea
  - .gitignore(190 B)
  - deployment.xml(10.78 KB)
  - inspectionProfiles
    - profiles_settings.xml(174 B)
    - Project_Default.xml(31.05 KB)
  - misc.xml(274 B)
  - modules.xml(291 B)
  - ultralytics-main.iml(601 B)
  - workspace.xml(11.89 KB)
- .pre-commit-config.yaml(2.19 KB)
- AICSMain.py(5.39 KB)
- CITATION.cff(612 B)
- conda_env_no_opencv_contrib.yml(5.05 KB)
- config
  - config.json(401 B)
  - fold.json(89 B)
  - ip.json(34 B)
  - setting.json(87 B)
- CONTRIBUTING.md(5.47 KB)
- detect.py(625 B)
- detect_mainui.py(10.18 KB)
- docker
  - Dockerfile(3.6 KB)
  - Dockerfile-arm64(1.96 KB)
  - Dockerfile-conda(1.76 KB)
  - Dockerfile-cpu(2.5 KB)
  - Dockerfile-jetson(2.25 KB)
  - Dockerfile-python(2.41 KB)
  - Dockerfile-runner(1.69 KB)
- docs
  - assets
    - favicon.ico(9.44 KB)
  - build_reference.py(4.86 KB)
  - CNAME(21 B)
  - datasets
    - classify
      - caltech101.md(4.19 KB)
      - caltech256.md(3.97 KB)
      - cifar10.md(3.85 KB)
      - cifar100.md(3.94 KB)
      - fashion-mnist.md(3.73 KB)
      - imagenet.md(4.93 KB)
      - imagenet10.md(4.63 KB)
      - imagenette.md(5.26 KB)
      - imagewoof.md(4.67 KB)
      - index.md(4.05 KB)
      - mnist.md(4.5 KB)
    - detect
      - argoverse.md(5.59 KB)
      - coco.md(5.42 KB)
      - coco8.md(3.99 KB)
      - globalwheat2020.md(5.58 KB)
      - index.md(5.77 KB)
      - objects365.md(4.93 KB)
      - open-images-v7.md(5.96 KB)
      - sku-110k.md(4.83 KB)
      - visdrone.md(5.19 KB)
      - voc.md(5.32 KB)
      - xview.md(5.08 KB)
    - index.md(8.09 KB)
    - obb
      - dota-v2.md(5.5 KB)
      - index.md(3.35 KB)
    - pose
      - coco.md(5.24 KB)
      - coco8-pose.md(3.99 KB)
      - index.md(6.85 KB)
      - tiger-pose.md(4.1 KB)
    - segment
      - coco.md(5.38 KB)
      - coco8-seg.md(4.04 KB)
      - index.md(7.22 KB)
    - track
      - index.md(916 B)
  - guides
    - azureml-quickstart.md(7.5 KB)
    - conda-quickstart.md(5.19 KB)
    - docker-quickstart.md(4.53 KB)
    - hyperparameter-tuning.md(9.7 KB)
    - index.md(4.17 KB)
    - kfold-cross-validation.md(12.44 KB)
    - model-deployment-options.md(21.71 KB)
    - raspberry-pi.md(8.21 KB)
    - sahi-tiled-inference.md(7.36 KB)
    - triton-inference-server.md(5 KB)
    - yolo-common-issues.md(16.88 KB)
    - yolo-performance-metrics.md(10.97 KB)
    - yolo-thread-safe-inference.md(5.18 KB)
  - help
    - CI.md(11.35 KB)
    - CLA.md(5.79 KB)
    - code_of_conduct.md(5.45 KB)
    - contributing.md(3.71 KB)
    - environmental-health-safety.md(3.15 KB)
    - FAQ.md(3 KB)
    - index.md(2.38 KB)
    - minimum_reproducible_example.md(3.62 KB)
    - privacy.md(7.87 KB)
  - hub
    - app
      - android.md(9.55 KB)
      - index.md(4.5 KB)
      - ios.md(6.74 KB)
    - datasets.md(9.39 KB)
    - index.md(5.39 KB)
    - inference_api.md(14.39 KB)
    - integrations.md(4.64 KB)
    - models.md(12.83 KB)
    - projects.md(10.75 KB)
    - quickstart.md(2.58 KB)
  - index.md(8.6 KB)
  - integrations
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    - mlflow.md(5.34 KB)
    - openvino.md(20.02 KB)
    - ray-tune.md(10.85 KB)
    - roboflow.md(15.89 KB)
  - models
    - fast-sam.md(8.45 KB)
    - index.md(4.82 KB)
    - mobile-sam.md(4.86 KB)
    - rtdetr.md(5.85 KB)
    - sam.md(12.25 KB)
    - yolo-nas.md(7.13 KB)
    - yolov3.md(4.91 KB)
    - yolov4.md(6.34 KB)
    - yolov5.md(9.86 KB)
    - yolov6.md(5.79 KB)
    - yolov7.md(5.94 KB)
    - yolov8.md(15.32 KB)
  - modes
    - benchmark.md(6.34 KB)
    - export.md(7.84 KB)
    - index.md(4.59 KB)
    - predict.md(40.29 KB)
    - track.md(16.88 KB)
    - train.md(17.61 KB)
    - val.md(5.39 KB)
  - overrides
    - partials
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      - source-file.html(858 B)
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  - README.md(4.31 KB)
  - reference
    - cfg
      - __init__.md(1.33 KB)
    - data
      - annotator.md(738 B)
      - augment.md(1.81 KB)
      - base.md(673 B)
      - build.md(1.1 KB)
      - converter.md(1.05 KB)
      - dataset.md(993 B)
      - loaders.md(1.12 KB)
      - utils.md(1.53 KB)
    - engine
      - exporter.md(954 B)
      - model.md(721 B)
      - predictor.md(708 B)
      - results.md(955 B)
      - trainer.md(703 B)
      - tuner.md(856 B)
      - validator.md(712 B)
    - hub
      - auth.md(692 B)
      - session.md(731 B)
      - utils.md(943 B)
      - __init__.md(998 B)
    - models
      - fastsam
        model.md(734 B)
        predict.md(817 B)
        prompt.md(756 B)
        utils.md(854 B)
        val.md(730 B)
      - nas
        model.md(719 B)
        predict.md(751 B)
        val.md(737 B)
      - rtdetr
        model.md(741 B)
        predict.md(752 B)
        train.md(804 B)
        val.md(822 B)
      - sam
        amg.md(1.42 KB)
        build.md(1.04 KB)
        model.md(728 B)
        modules
        decoders.md(856 B)
        encoders.md(1.51 KB)
        sam.md(750 B)
        tiny_encoder.md(1.62 KB)
        transformer.md(920 B)
        predict.md(760 B)
      - utils
        loss.md(837 B)
        ops.md(813 B)
      - yolo
        classify
        predict.md(791 B)
        train.md(802 B)
        val.md(805 B)
        detect
        predict.md(778 B)
        train.md(792 B)
        val.md(754 B)
        model.md(715 B)
        pose
        predict.md(748 B)
        train.md(762 B)
        val.md(732 B)
        segment
        predict.md(749 B)
        train.md(797 B)
        val.md(800 B)
    - nn
      - autobackend.md(772 B)
      - modules
        block.md(1.64 KB)
        conv.md(1.47 KB)
        head.md(949 B)
        transformer.md(1.48 KB)
        utils.md(1.04 KB)
      - tasks.md(1.24 KB)
    - trackers
      - basetrack.md(806 B)
      - bot_sort.md(830 B)
      - byte_tracker.md(841 B)
      - track.md(878 B)
      - utils
        gmc.md(745 B)
        kalman_filter.md(848 B)
        matching.md(1.06 KB)
    - utils
      - autobatch.md(828 B)
      - benchmarks.md(798 B)
      - callbacks
        base.md(2.65 KB)
        clearml.md(1.2 KB)
        comet.md(2.55 KB)
        dvc.md(1.29 KB)
        hub.md(1.25 KB)
        mlflow.md(909 B)
        neptune.md(1.3 KB)
        raytune.md(795 B)
        tensorboard.md(1.17 KB)
        wb.md(1.11 KB)
      - checks.md(2.2 KB)
      - dist.md(948 B)
      - downloads.md(1.31 KB)
      - errors.md(736 B)
      - files.md(1.1 KB)
      - instance.md(806 B)
      - loss.md(1.14 KB)
      - metrics.md(1.73 KB)
      - ops.md(2.37 KB)
      - patches.md(857 B)
      - plotting.md(1.27 KB)
      - tal.md(1.04 KB)
      - torch_utils.md(2.54 KB)
      - triton.md(474 B)
      - tuner.md(707 B)
      - __init__.md(2.57 KB)
  - robots.txt(14 B)
  - SECURITY.md(1.98 KB)
  - stylesheets
    - style.css(1.09 KB)
  - tasks
    - classify.md(10.68 KB)
    - detect.md(11.04 KB)
    - index.md(3.04 KB)
    - pose.md(11.94 KB)
    - segment.md(11.68 KB)
  - usage
    - callbacks.md(4.31 KB)
    - cfg.md(21.87 KB)
    - cli.md(9.51 KB)
    - engine.md(2.79 KB)
    - python.md(10.25 KB)
  - yolov5
    - environments
      - aws_quickstart_tutorial.md(5.85 KB)
      - azureml_quickstart_tutorial.md(2.82 KB)
      - docker_image_quickstart_tutorial.md(3.31 KB)
      - google_cloud_quickstart_tutorial.md(3.37 KB)
    - index.md(8.62 KB)
    - quickstart_tutorial.md(3.86 KB)
    - tutorials
      - architecture_description.md(11.81 KB)
      - clearml_logging_integration.md(10.92 KB)
      - comet_logging_integration.md(10.83 KB)
      - hyperparameter_evolution.md(10.81 KB)
      - model_ensembling.md(10.41 KB)
      - model_export.md(14.75 KB)
      - model_pruning_and_sparsity.md(8.55 KB)
      - multi_gpu_training.md(11.17 KB)
      - neural_magic_pruning_quantization.md(10.71 KB)
      - pytorch_hub_model_loading.md(14.02 KB)
      - roboflow_datasets_integration.md(2.92 KB)
      - running_on_jetson_nano.md(9.92 KB)
      - test_time_augmentation.md(10.96 KB)
      - tips_for_best_training_results.md(6.97 KB)
      - train_custom_data.md(16.56 KB)
      - transfer_learning_with_frozen_layers.md(7.35 KB)
  - zh
    - index.md(6.67 KB)
- examples
  - hub.ipynb(3.45 KB)
  - README.md(4.59 KB)
  - tutorial.ipynb(32.21 KB)
  - YOLOv8-CPP-Inference
    - CMakeLists.txt(547 B)
    - inference.cpp(5.5 KB)
    - inference.h(1.95 KB)
    - main.cpp(2.19 KB)
    - README.md(1.78 KB)
  - YOLOv8-ONNXRuntime
    - main.py(8.56 KB)
    - README.md(1.34 KB)
  - YOLOv8-ONNXRuntime-CPP
    - CMakeLists.txt(3.37 KB)
    - inference.cpp(11.32 KB)
    - inference.h(1.7 KB)
    - main.cpp(3.66 KB)
    - README.md(2.84 KB)
  - YOLOv8-OpenCV-ONNX-Python
    - main.py(4.14 KB)
    - README.md(356 B)
  - YOLOv8-Region-Counter
    - readme.md(4.81 KB)
    - ultralytics_rc_output
      - exp
        pedestrian.mp4(258 B)
    - yolov8_region_counter.py(8.22 KB)
  - YOLOv8-SAHI-Inference-Video
    - readme.md(2.73 KB)
    - yolov8_sahi.py(4.21 KB)
  - YOLOv8-Segmentation-ONNXRuntime-Python
    - main.py(13.33 KB)
    - README.md(2.48 KB)
- LICENSE(33.71 KB)
- Login.py(3.57 KB)
- MainUI.py(27.57 KB)
- MANIFEST.in(200 B)
- mkdocs.yml(23.96 KB)
- mysql
  - dataDB.py(1.72 KB)
  - __pycache__
    - dataDB.cpython-39.pyc(1.68 KB)
- pedestrian.mp4(9.35 MB)
- PersonFormMain.py(1.62 KB)
- pt
  - best.pt(5.97 MB)
  - graduation_model.pt(5.96 MB)
  - yolov8n.pt(6.23 MB)
- README.md(27.95 KB)
- README.zh-CN.md(26.99 KB)
- Register.py(5.27 KB)
- requirements.txt(1.18 KB)
- runs
  - detect
    - predict
      - bus.jpg(355.09 KB)
      - zidane.jpg(151.77 KB)
    - predict2
      - bus.jpg(329.62 KB)
      - zidane.jpg(140.6 KB)
    - predict3
      - sample_image.jpg(466.14 KB)
    - predict4
      - sample_image.jpg(466.14 KB)
- setup.cfg(1.97 KB)
- setup.py(3.91 KB)
- tests
  - conftest.py(3.12 KB)
  - test_cli.py(4.91 KB)
  - test_cuda.py(3.39 KB)
  - test_engine.py(4.46 KB)
  - test_integrations.py(4.57 KB)
  - test_python.py(17.33 KB)
- ui
  - AI
    - AICS.py(7.88 KB)
    - AICS.qrc(92 B)
    - AICS.ui(8.41 KB)
    - AICS_rc.py(17.84 KB)
    - img
      - img.png(87.04 KB)
      - up-b-向上.png(5.37 KB)
      - 向上3.png(8.85 KB)
    - __pycache__
      - AICS.cpython-39.pyc(5.39 KB)
      - AICS_rc.cpython-39.pyc(6.1 KB)
  - icon.qrc(576 B)
  - icon_rc.py(1.19 MB)
  - img
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    - YOLO.png(7.64 KB)
    - 个人中心.png(4.69 KB)
    - 关闭.png(4.02 KB)
    - 加号.png(4.14 KB)
    - 展开.png(2.42 KB)
    - 摄像头.png(4.4 KB)
    - 文件.png(4.2 KB)
    - 暂停.png(6.57 KB)
    - 最大化.png(1.87 KB)
    - 最小化.png(1.6 KB)
    - 结束.png(8.58 KB)
    - 运行.png(6.13 KB)
    - 还原.png(2.14 KB)
    - 退出.png(7.61 KB)
    - 首页.png(3.65 KB)
  - main_ui_v7.py(42.73 KB)
  - main_ui_v7.ui(70.27 KB)
  - UserInfo
    - img
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      - 用户设置.png(6.41 KB)
      - 编辑3.png(4.31 KB)
      - 退出3.png(4.27 KB)
    - userform.py(6.22 KB)
    - userform.ui(5.67 KB)
    - user_info.qrc(191 B)
    - user_info_rc.py(64.39 KB)
    - __pycache__
      - userform.cpython-39.pyc(3.57 KB)
      - user_info_rc.cpython-39.pyc(20.94 KB)
  - UserLogin
    - img
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      - close.png(6 KB)
      - kk.jpg(320.82 KB)
      - min.png(5.93 KB)
      - 头像加号.png(6.39 KB)
      - 密码.png(5.17 KB)
      - 手机.png(3.11 KB)
      - 昵称.png(6.75 KB)
      - 登录.png(570.47 KB)
      - 登录_pre.png(223.02 KB)
    - login.py(6.34 KB)
    - login.qrc(346 B)
    - login.ui(6.98 KB)
    - login_rc.py(1.77 MB)
    - register.py(8.94 KB)
    - register.ui(10.67 KB)
    - __pycache__
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      - login_rc.cpython-39.pyc(584.69 KB)
      - register.cpython-39.pyc(5.21 KB)
  - __pycache__
    - icon_rc.cpython-39.pyc(392.24 KB)
    - main_ui_v7.cpython-39.pyc(19.03 KB)
- ultralytics
  - assets
    - bus.jpg(134.2 KB)
    - sample_image.jpg(291.53 KB)
    - zidane.jpg(49.25 KB)
  - cfg
    - datasets
      - Argoverse.yaml(2.79 KB)
      - coco-pose.yaml(1.51 KB)
      - coco.yaml(2.46 KB)
      - coco128-seg.yaml(1.82 KB)
      - coco128.yaml(1.8 KB)
      - coco8-pose.yaml(895 B)
      - coco8-seg.yaml(1.75 KB)
      - coco8.yaml(1.74 KB)
      - DOTAv2.yaml(1.12 KB)
      - GlobalWheat2020.yaml(1.93 KB)
      - ImageNet.yaml(41.44 KB)
      - Objects365.yaml(9.04 KB)
      - open-images-v7.yaml(12.13 KB)
      - SKU-110K.yaml(2.37 KB)
      - tiger-pose.yaml(797 B)
      - VisDrone.yaml(2.94 KB)
      - VOC.yaml(3.42 KB)
      - xView.yaml(5.03 KB)
    - default.yaml(7.23 KB)
    - models
      - README.md(3.02 KB)
      - rt-detr
        rtdetr-l.yaml(1.92 KB)
        rtdetr-x.yaml(2.13 KB)
      - v3
        yolov3-spp.yaml(1.51 KB)
        yolov3-tiny.yaml(1.22 KB)
        yolov3.yaml(1.5 KB)
      - v5
        yolov5-p6.yaml(1.88 KB)
        yolov5.yaml(1.51 KB)
      - v6
        yolov6.yaml(1.69 KB)
      - v8
        yolov8-cls.yaml(920 B)
        yolov8-p2.yaml(1.71 KB)
        yolov8-p6.yaml(1.81 KB)
        yolov8-pose-p6.yaml(1.9 KB)
        yolov8-pose.yaml(1.54 KB)
        yolov8-rtdetr.yaml(1.88 KB)
        yolov8-seg-p6.yaml(1.82 KB)
        yolov8-seg.yaml(1.46 KB)
        yolov8.yaml(1.87 KB)
    - trackers
      - botsort.yaml(890 B)
      - bytetrack.yaml(694 B)
    - __init__.py(19.21 KB)
    - __pycache__
      - __init__.cpython-38.pyc(16.71 KB)
      - __init__.cpython-39.pyc(16.75 KB)
  - data
    - annotator.py(2.07 KB)
    - augment.py(45.62 KB)
    - base.py(13 KB)
    - build.py(6.53 KB)
    - converter.py(12.16 KB)
    - dataset.py(15.64 KB)
    - loaders.py(20.27 KB)
    - scripts
      - download_weights.sh(568 B)
      - get_coco.sh(1.69 KB)
      - get_coco128.sh(619 B)
      - get_imagenet.sh(1.63 KB)
    - utils.py(28.91 KB)
    - __init__.py(389 B)
    - __pycache__
      - augment.cpython-38.pyc(40.24 KB)
      - augment.cpython-39.pyc(40.22 KB)
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      - build.cpython-38.pyc(6.2 KB)
      - build.cpython-39.pyc(6.19 KB)
      - converter.cpython-38.pyc(11.32 KB)
      - converter.cpython-39.pyc(10.71 KB)
      - dataset.cpython-38.pyc(13.19 KB)
      - dataset.cpython-39.pyc(13.2 KB)
      - loaders.cpython-38.pyc(20.15 KB)
      - loaders.cpython-39.pyc(18.77 KB)
      - utils.cpython-38.pyc(26.01 KB)
      - utils.cpython-39.pyc(26 KB)
      - __init__.cpython-38.pyc(466 B)
      - __init__.cpython-39.pyc(452 B)
  - engine
    - exporter.py(48.97 KB)
    - model.py(18.76 KB)
    - predictor.py(16.61 KB)
    - results.py(22.9 KB)
    - trainer.py(31.79 KB)
    - tuner.py(11.11 KB)
    - validator.py(14.07 KB)
    - __init__.py(42 B)
    - __pycache__
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      - exporter.cpython-39.pyc(36.21 KB)
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      - model.cpython-39.pyc(16.52 KB)
      - predictor.cpython-38.pyc(13.64 KB)
      - predictor.cpython-39.pyc(13.73 KB)
      - results.cpython-38.pyc(23.46 KB)
      - results.cpython-39.pyc(23.44 KB)
      - trainer.cpython-38.pyc(24.55 KB)
      - trainer.cpython-39.pyc(24.63 KB)
      - validator.cpython-38.pyc(12.73 KB)
      - validator.cpython-39.pyc(12.82 KB)
      - __init__.cpython-38.pyc(168 B)
      - __init__.cpython-39.pyc(154 B)
  - hub
    - auth.py(5.24 KB)
    - session.py(8.23 KB)
    - utils.py(9.36 KB)
    - __init__.py(3.6 KB)
    - __pycache__
      - auth.cpython-38.pyc(4.19 KB)
      - auth.cpython-39.pyc(4.17 KB)
      - utils.cpython-38.pyc(8.27 KB)
      - utils.cpython-39.pyc(8.28 KB)
      - __init__.cpython-38.pyc(4 KB)
      - __init__.cpython-39.pyc(3.97 KB)
  - models
    - fastsam
      - model.py(1.03 KB)
      - predict.py(4.01 KB)
      - prompt.py(15.9 KB)
      - utils.py(2.11 KB)
      - val.py(1.92 KB)
      - __init__.py(254 B)
      - __pycache__
        model.cpython-38.pyc(1.45 KB)
        model.cpython-39.pyc(1.42 KB)
        predict.cpython-38.pyc(3.87 KB)
        predict.cpython-39.pyc(3.86 KB)
        prompt.cpython-38.pyc(13.05 KB)
        prompt.cpython-39.pyc(12.98 KB)
        utils.cpython-38.pyc(1.89 KB)
        utils.cpython-39.pyc(1.88 KB)
        val.cpython-38.pyc(2.15 KB)
        val.cpython-39.pyc(2.14 KB)
        __init__.cpython-38.pyc(386 B)
        __init__.cpython-39.pyc(372 B)
    - nas
      - model.py(2.8 KB)
      - predict.py(2.2 KB)
      - val.py(1.8 KB)
      - __init__.py(179 B)
      - __pycache__
        model.cpython-38.pyc(3.31 KB)
        model.cpython-39.pyc(3.28 KB)
        predict.cpython-38.pyc(2.17 KB)
        predict.cpython-39.pyc(2.15 KB)
        val.cpython-38.pyc(1.88 KB)
        val.cpython-39.pyc(1.86 KB)
        __init__.cpython-38.pyc(321 B)
        __init__.cpython-39.pyc(307 B)
    - rtdetr
      - model.py(2.09 KB)
      - predict.py(3.34 KB)
      - train.py(3.71 KB)
      - val.py(6.46 KB)
      - __init__.py(197 B)
      - __pycache__
        model.cpython-38.pyc(2.46 KB)
        model.cpython-39.pyc(2.45 KB)
        predict.cpython-38.pyc(3.64 KB)
        predict.cpython-39.pyc(3.63 KB)
        train.cpython-38.pyc(3.92 KB)
        train.cpython-39.pyc(3.9 KB)
        val.cpython-38.pyc(5.39 KB)
        val.cpython-39.pyc(5.38 KB)
        __init__.cpython-38.pyc(333 B)
        __init__.cpython-39.pyc(319 B)
    - sam
      - amg.py(7.92 KB)
      - build.py(4.76 KB)
      - model.py(4.6 KB)
      - modules
        decoders.py(7.61 KB)
        encoders.py(24.42 KB)
        sam.py(2.72 KB)
        tiny_encoder.py(28.3 KB)
        transformer.py(10.9 KB)
        __init__.py(42 B)
        __pycache__
        decoders.cpython-38.pyc(7.01 KB)
        decoders.cpython-39.pyc(6.99 KB)
        encoders.cpython-38.pyc(21.58 KB)
        encoders.cpython-39.pyc(21.54 KB)
        sam.cpython-38.pyc(2.83 KB)
        sam.cpython-39.pyc(2.82 KB)
        tiny_encoder.cpython-38.pyc(25.12 KB)
        tiny_encoder.cpython-39.pyc(25.07 KB)
        transformer.cpython-38.pyc(9.29 KB)
        transformer.cpython-39.pyc(9.26 KB)
        __init__.cpython-38.pyc(180 B)
        __init__.cpython-39.pyc(166 B)
      - predict.py(23.16 KB)
      - __init__.py(144 B)
      - __pycache__
        amg.cpython-38.pyc(7.43 KB)
        amg.cpython-39.pyc(7.36 KB)
        build.cpython-38.pyc(3.59 KB)
        build.cpython-39.pyc(3.62 KB)
        model.cpython-38.pyc(5.12 KB)
        model.cpython-39.pyc(5.11 KB)
        predict.cpython-38.pyc(19.72 KB)
        predict.cpython-39.pyc(19.68 KB)
        __init__.cpython-38.pyc(273 B)
        __init__.cpython-39.pyc(259 B)
    - utils
      - loss.py(15.59 KB)
      - ops.py(12.97 KB)
      - __init__.py(42 B)
    - yolo
      - classify
        predict.py(1.94 KB)
        train.py(6.58 KB)
        val.py(4.84 KB)
        __init__.py(355 B)
        __pycache__
        predict.cpython-38.pyc(2.43 KB)
        predict.cpython-39.pyc(2.41 KB)
        train.cpython-38.pyc(6.79 KB)
        train.cpython-39.pyc(6.78 KB)
        val.cpython-38.pyc(5.35 KB)
        val.cpython-39.pyc(5.33 KB)
        __init__.cpython-38.pyc(470 B)
        __init__.cpython-39.pyc(456 B)
      - detect
        predict.py(1.59 KB)
        train.py(5.4 KB)
        val.py(12.78 KB)
        __init__.py(229 B)
        __pycache__
        predict.cpython-38.pyc(1.61 KB)
        predict.cpython-39.pyc(1.6 KB)
        train.cpython-38.pyc(5.97 KB)
        train.cpython-39.pyc(5.93 KB)
        val.cpython-38.pyc(11.62 KB)
        val.cpython-39.pyc(11.62 KB)
        __init__.cpython-38.pyc(354 B)
        __init__.cpython-39.pyc(340 B)
      - model.py(1.41 KB)
      - pose
        predict.py(2.46 KB)
        train.py(2.82 KB)
        val.py(10.41 KB)
        __init__.py(199 B)
        __pycache__
        predict.cpython-38.pyc(2.42 KB)
        predict.cpython-39.pyc(2.4 KB)
        train.cpython-38.pyc(3.21 KB)
        train.cpython-39.pyc(3.19 KB)
        val.cpython-38.pyc(8.9 KB)
        val.cpython-39.pyc(8.86 KB)
        __init__.cpython-38.pyc(337 B)
        __init__.cpython-39.pyc(323 B)
      - segment
        predict.py(2.55 KB)
        train.py(2.22 KB)
        val.py(11.68 KB)
        __init__.py(247 B)
        __pycache__
        predict.cpython-38.pyc(2.45 KB)
        predict.cpython-39.pyc(2.43 KB)
        train.cpython-38.pyc(2.69 KB)
        train.cpython-39.pyc(2.68 KB)
        val.cpython-38.pyc(9.44 KB)
        val.cpython-39.pyc(9.43 KB)
        __init__.cpython-38.pyc(364 B)
        __init__.cpython-39.pyc(350 B)
      - __init__.py(195 B)
      - __pycache__
        model.cpython-38.pyc(1.28 KB)
        model.cpython-39.pyc(1.27 KB)
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        __init__.cpython-39.pyc(346 B)
    - __init__.py(173 B)
    - __pycache__
      - __init__.cpython-38.pyc(301 B)
      - __init__.cpython-39.pyc(287 B)
  - nn
    - autobackend.py(26.35 KB)
    - modules
      - block.py(12.72 KB)
      - conv.py(12.47 KB)
      - head.py(17.89 KB)
      - transformer.py(17.48 KB)
      - utils.py(3.36 KB)
      - __init__.py(1.63 KB)
      - __pycache__
        block.cpython-38.pyc(16.9 KB)
        block.cpython-39.pyc(16.84 KB)
        conv.cpython-38.pyc(14.3 KB)
        conv.cpython-39.pyc(14.27 KB)
        head.cpython-38.pyc(15.31 KB)
        head.cpython-39.pyc(15.25 KB)
        transformer.cpython-38.pyc(16.66 KB)
        transformer.cpython-39.pyc(16.62 KB)
        utils.cpython-38.pyc(2.88 KB)
        utils.cpython-39.pyc(2.86 KB)
        __init__.cpython-38.pyc(1.7 KB)
        __init__.cpython-39.pyc(1.69 KB)
    - tasks.py(35.66 KB)
    - __init__.py(555 B)
    - __pycache__
      - autobackend.cpython-38.pyc(18.71 KB)
      - autobackend.cpython-39.pyc(18.76 KB)
      - tasks.cpython-38.pyc(33.96 KB)
      - tasks.cpython-39.pyc(33.93 KB)
      - __init__.cpython-38.pyc(552 B)
      - __init__.cpython-39.pyc(538 B)
  - trackers
    - basetrack.py(1.57 KB)
    - bot_sort.py(8.4 KB)
    - byte_tracker.py(17.95 KB)
    - README.md(13.1 KB)
    - track.py(2.49 KB)
    - utils
      - gmc.py(12.08 KB)
      - kalman_filter.py(14.5 KB)
      - matching.py(4.73 KB)
      - __init__.py(42 B)
      - __pycache__
        gmc.cpython-38.pyc(7.06 KB)
        gmc.cpython-39.pyc(7.05 KB)
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        matching.cpython-38.pyc(4.71 KB)
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    - __init__.py(227 B)
    - __pycache__
      - basetrack.cpython-38.pyc(2.38 KB)
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      - byte_tracker.cpython-38.pyc(16.25 KB)
      - byte_tracker.cpython-39.pyc(16.17 KB)
      - track.cpython-38.pyc(2.48 KB)
      - track.cpython-39.pyc(2.45 KB)
      - __init__.cpython-38.pyc(336 B)
      - __init__.cpython-39.pyc(322 B)
  - utils
    - autobatch.py(3.77 KB)
    - benchmarks.py(17.79 KB)
    - callbacks
      - base.py(5.64 KB)
      - clearml.py(5.87 KB)
      - comet.py(13.54 KB)
      - dvc.py(4.88 KB)
      - hub.py(3.27 KB)
      - mlflow.py(4.38 KB)
      - neptune.py(3.61 KB)
      - raytune.py(608 B)
      - tensorboard.py(2.76 KB)
      - wb.py(6.6 KB)
      - __init__.py(214 B)
      - __pycache__
        base.cpython-38.pyc(5.56 KB)
        base.cpython-39.pyc(5.55 KB)
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        __init__.cpython-38.pyc(306 B)
        __init__.cpython-39.pyc(292 B)
    - checks.py(26.19 KB)
    - dist.py(2.34 KB)
    - downloads.py(17.77 KB)
    - errors.py(816 B)
    - files.py(5.16 KB)
    - instance.py(15.56 KB)
    - loss.py(25.13 KB)
    - metrics.py(45.97 KB)
    - ops.py(30.62 KB)
    - patches.py(2.18 KB)
    - plotting.py(30.94 KB)
    - tal.py(13.35 KB)
    - torch_utils.py(23.97 KB)
    - triton.py(3.84 KB)
    - tuner.py(6.08 KB)
    - __init__.py(32.86 KB)
    - __pycache__
      - autobatch.cpython-38.pyc(3.58 KB)
      - autobatch.cpython-39.pyc(3.57 KB)
      - checks.cpython-38.pyc(23.6 KB)
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      - dist.cpython-38.pyc(2.37 KB)
      - dist.cpython-39.pyc(2.39 KB)
      - downloads.cpython-38.pyc(16.02 KB)
      - downloads.cpython-39.pyc(16.08 KB)
      - files.cpython-38.pyc(5.04 KB)
      - files.cpython-39.pyc(5.1 KB)
      - instance.cpython-38.pyc(14.87 KB)
      - instance.cpython-39.pyc(14.79 KB)
      - loss.cpython-38.pyc(19.18 KB)
      - loss.cpython-39.pyc(19.14 KB)
      - metrics.cpython-38.pyc(42.34 KB)
      - metrics.cpython-39.pyc(42.27 KB)
      - ops.cpython-38.pyc(27.23 KB)
      - ops.cpython-39.pyc(27.17 KB)
      - patches.cpython-38.pyc(2.2 KB)
      - patches.cpython-39.pyc(2.19 KB)
      - plotting.cpython-38.pyc(25.58 KB)
      - plotting.cpython-39.pyc(25.97 KB)
      - tal.cpython-38.pyc(10.56 KB)
      - tal.cpython-39.pyc(10.53 KB)
      - torch_utils.cpython-38.pyc(22.08 KB)
      - torch_utils.cpython-39.pyc(22.08 KB)
      - __init__.cpython-38.pyc(32.38 KB)
      - __init__.cpython-39.pyc(32.54 KB)
  - __init__.py(463 B)
  - __pycache__
    - __init__.cpython-38.pyc(624 B)
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- user.sql(1.84 KB)
- user_avatars
  - 20250106013416_挂科.jpg(116.11 KB)
  - 20250106015930_挂科.jpg(116.11 KB)
  - 20250106054949_kk.jpg(320.82 KB)
  - 20250107231455_kk.jpg(320.82 KB)
  - 20250108004928_挂科.jpg(116.11 KB)
  - 20250108031156_kk.jpg(320.82 KB)
  - 20250222155402_微信图片_20250126162752.jpg(243.27 KB)
  - 20250223154144_acs4y-x1huz.jpg(277.96 KB)
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- utils
  - AIChatMessage.py(10.84 KB)
  - avatar.py(3.7 KB)
  - capnums.py(830 B)
  - deepseek.py(2.32 KB)
  - main_utils.py(822 B)
  - message.py(10.3 KB)
  - UserInfo.py(2.63 KB)
  - __pycache__
    - AIChatMessage.cpython-39.pyc(5.29 KB)
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    - main_utils.cpython-39.pyc(950 B)
    - message.cpython-39.pyc(7.13 KB)
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- Vehicle_Detection_Image_Dataset
  - data.yaml(270 B)
  - README.dataset.txt(158 B)
  - README.roboflow.txt(1007 B)
  - sample_image.jpg(291.53 KB)
  - sample_image1.jpg(77.95 KB)
  - sample_video.mp4(9.01 MB)
  - train
    - images
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      - 10_mp4-17_jpg.rf.3def0a8d4f135b823f17b0ac72b89137.jpg(72.68 KB)
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      - 10_mp4-19_jpg.rf.55b753da9e84a61ecdb1322c020e746f.jpg(71.12 KB)
      - 10_mp4-1_jpg.rf.95d7900831e7287cafe8f30b7ff9dcb6.jpg(67.38 KB)
      - 10_mp4-20_jpg.rf.12c73bfcb61d1b3861225afc11528467.jpg(71.49 KB)
      - 10_mp4-20_jpg.rf.aa955ef0c5dbb1974c6c0b13628f93b2.jpg(71.27 KB)
      - 10_mp4-21_jpg.rf.f4a71342a87fe4b057dfdfd961ea7f56.jpg(72.04 KB)
      - 10_mp4-21_jpg.rf.fdf9ca13094603f25c5323c71537b39c.jpg(71.81 KB)
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  - MainUI.cpython-39.pyc(19.31 KB)
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2025数据科学与大数据毕设一套(论文+程序源代码+数据库)基于YOLOv8的车流量实时监测系统分析与实现 本科定稿过AI.zip

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2025数据科学与大数据毕设一套(论文+程序源代码+数据库)基于YOLOv8的车流量实时监测系统分析与实现本科定稿过AI.zip