2026人工智能一套基于深度学习的井盖状态检测系统10.46-AI1.17(论文+程序代码源码+测试图片、视频)定稿.zip

下载压缩包加入资源篮

阅读 0
格式 zip
大小 124.43 MB
共505文件
2026-09-18
评论
收藏
赞(0)
海报
分享
微信扫码分享或点击分享到
QQ空间
QQ好友
新浪微博
复制链接
分享赚佣金
举报

收起资源包目录

基于深度学习的井盖状态检测系统
- .idea
  - inspectionProfiles
    - profiles_settings.xml(174 B)
  - .gitignore(190 B)
  - misc.xml(299 B)
  - modules.xml(367 B)
  - workspace.xml(10.31 KB)
  - 基于深度学习的井盖状态检测系统（v12）.iml(606 B)
- UI
  - .idea
    - inspectionProfiles
      - profiles_settings.xml(212 B)
      - Project_Default.xml(2.2 KB)
    - .gitignore(184 B)
    - encodings.xml(308 B)
    - misc.xml(292 B)
    - modules.xml(289 B)
    - TomatoDetection.iml(499 B)
    - workspace.xml(14.55 KB)
  - detect_results
  - Font
    - platech.ttf(14.01 MB)
  - save_data
    - 0-broke-mosaic_detect_result.jpg(333.64 KB)
    - output_opencv_detect_result.avi(19.43 MB)
  - UIProgram
    - ui_imgs
      - icons
        11.png(28.84 KB)
        camera.png(9.22 KB)
        folder.png(4.47 KB)
        img.png(6.42 KB)
        video.png(9.89 KB)
        保存.png(2.66 KB)
        目标检测.png(14.74 KB)
        退出.png(7.28 KB)
      - 13.png(1.96 KB)
      - bg22.png(159.95 KB)
    - __pycache__
      - precess_bar.cpython-38.pyc(1.7 KB)
      - precess_bar.cpython-39.pyc(1.66 KB)
      - QssLoader.cpython-38.pyc(680 B)
      - QssLoader.cpython-39.pyc(667 B)
      - UiMain.cpython-38.pyc(21.97 KB)
      - UiMain.cpython-39.pyc(15.44 KB)
      - ui_sources_rc.cpython-38.pyc(85.13 KB)
      - ui_sources_rc.cpython-39.pyc(85.15 KB)
      - __init__.cpython-38.pyc(168 B)
      - __init__.cpython-39.pyc(143 B)
    - precess_bar.py(1.61 KB)
    - QssLoader.py(214 B)
    - style.css(442 B)
    - UiMain.py(46.32 KB)
    - UiMain.ui(43.04 KB)
    - ui_sources.py(304 B)
    - ui_sources.qrc(413 B)
    - ui_sources_rc.py(353.44 KB)
    - __init__.py(0 B)
  - __pycache__
    - Config.cpython-38.pyc(427 B)
    - Config.cpython-39.pyc(228 B)
    - detect_tools.cpython-38.pyc(6.4 KB)
    - detect_tools.cpython-39.pyc(6.47 KB)
  - best.pt(5.28 MB)
  - CameraTest.py(1.04 KB)
  - CITATION.cff(612 B)
  - Config.py(280 B)
  - detect_tools.py(7.41 KB)
  - imgTest.py(590 B)
  - installPackages.py(209 B)
  - MainProgram.py(27.68 KB)
  - requirements.txt(543 B)
  - setup.py(3.41 KB)
  - UiMain.py(303 B)
- yolov12
  - .idea
    - inspectionProfiles
      - profiles_settings.xml(174 B)
    - .gitignore(50 B)
    - misc.xml(307 B)
    - modules.xml(277 B)
    - workspace.xml(7.55 KB)
    - yolo12-42.iml(627 B)
  - Bespoke
    - A_data
      - admin.csv(24 B)
      - record.csv(308 B)
    - A_input
      - bus.jpg(476.01 KB)
      - test.mp4(4.13 MB)
      - zidane.jpg(164.99 KB)
    - A_output
      - camera
      - images
        i20241027221833.jpg(152.21 KB)
        i20241029164514.jpg(32.49 KB)
        i20241029164534.jpg(51.46 KB)
        i20250309143529.jpg(168.37 KB)
      - videos
        v20250309143545.mp4(2.19 MB)
    - A_pt
      - yolo12n.pt(5.34 MB)
    - __pycache__
      - A_identify_v8.cpython-310.pyc(2.18 KB)
      - A_login.cpython-310.pyc(4.34 KB)
      - A_register.cpython-310.pyc(5.06 KB)
      - A_system.cpython-310.pyc(28.92 KB)
      - A_windows.cpython-310.pyc(475 B)
      - CONFIG.cpython-310.pyc(399 B)
      - mail_tool.cpython-310.pyc(1.01 KB)
    - A_identify_v8.py(6.29 KB)
    - A_login.py(6.36 KB)
    - A_main.py(464 B)
    - A_register.py(8.42 KB)
    - A_system.py(54.07 KB)
    - A_windows.py(124 B)
    - CONFIG.py(282 B)
    - mail_tool.py(1.38 KB)
  - demo
    - start_train.py(1.07 KB)
    - yolo12.yaml(1.84 KB)
    - yolo12n.pt(5.34 MB)
    - yolo12s.pt(18.13 MB)
  - tools
    - data_process
      - test_data
        english_path
        yolo_data_0.jpg(148.6 KB)
        yolo_data_1.jpg(141.65 KB)
        labels
        classes.txt(13 B)
        yolo_data_0.txt(190 B)
        yolo_data_1.txt(114 B)
        中文路径
        图像1.jpg(78.82 KB)
        图像2.jpg(75.38 KB)
      - change_idx.py(705 B)
      - find_wrong_seg_labels.py(1.94 KB)
      - get_time.py(303 B)
      - image2mp4.py(1.17 KB)
      - img2video.py(1.16 KB)
      - main.py(5.68 KB)
      - main_folder.py(6.23 KB)
      - step0_image_rename.py(1.39 KB)
      - step1_gen_split.py(1.03 KB)
      - step2_get_names.py(6.33 KB)
      - step3_data_gen.py(6.81 KB)
      - video2img.py(1.31 KB)
    - det_labelme2yolo.py(4.62 KB)
    - model2csv.py(809 B)
    - move_data.py(512 B)
    - seg_labelme2yolo.py(5.12 KB)
  - ultralytics
    - assets
      - bus.jpg(134.2 KB)
      - zidane.jpg(49.25 KB)
    - cfg
      - datasets
        VisDrone.yaml(611 B)
      - models
        11
        yolo11-cls-resnet18.yaml(522 B)
        yolo11-cls.yaml(1.38 KB)
        yolo11-obb.yaml(1.99 KB)
        yolo11-pose.yaml(2.08 KB)
        yolo11-seg.yaml(2 KB)
        yolo11.yaml(1.96 KB)
        12
        yolo12-cls.yaml(1.37 KB)
        yolo12-obb.yaml(1.93 KB)
        yolo12-pose.yaml(2.03 KB)
        yolo12-seg.yaml(1.94 KB)
        yolo12-x-biformer.yaml(1.96 KB)
        yolo12-x-c2fuib.yaml(1.94 KB)
        yolo12-x-cbam.yaml(2.05 KB)
        yolo12-x-Coord.yaml(2.06 KB)
        yolo12-x-GhostConv.yaml(2.25 KB)
        yolo12-x-SEAttention.yaml(2.23 KB)
        yolo12.yaml(1.91 KB)
        rt-detr
        rtdetr-l.yaml(1.99 KB)
        rtdetr-resnet101.yaml(1.64 KB)
        rtdetr-resnet50.yaml(1.64 KB)
        rtdetr-x.yaml(2.2 KB)
        v10
        yolov10b.yaml(1.47 KB)
        yolov10l.yaml(1.47 KB)
        yolov10m.yaml(1.46 KB)
        yolov10n.yaml(1.46 KB)
        yolov10s.yaml(1.47 KB)
        yolov10x.yaml(1.47 KB)
        v3
        yolov3-spp.yaml(1.59 KB)
        yolov3-tiny.yaml(1.3 KB)
        yolov3.yaml(1.57 KB)
        v5
        yolov5-p6.yaml(1.95 KB)
        yolov5.yaml(1.59 KB)
        v6
        yolov6.yaml(1.77 KB)
        v8
        yolov8-cls-resnet101.yaml(994 B)
        yolov8-cls-resnet50.yaml(992 B)
        yolov8-cls.yaml(1019 B)
        yolov8-ghost-p2.yaml(2.43 KB)
        yolov8-ghost-p6.yaml(2.5 KB)
        yolov8-ghost.yaml(2.14 KB)
        yolov8-obb.yaml(1.95 KB)
        yolov8-p2.yaml(1.78 KB)
        yolov8-p6.yaml(2.33 KB)
        yolov8-pose-p6.yaml(1.99 KB)
        yolov8-pose.yaml(1.64 KB)
        yolov8-rtdetr.yaml(1.96 KB)
        yolov8-seg-p6.yaml(1.91 KB)
        yolov8-seg.yaml(1.55 KB)
        yolov8-world.yaml(2.08 KB)
        yolov8-worldv2.yaml(2.02 KB)
        yolov8.yaml(1.94 KB)
        v9
        yolov9c-seg.yaml(1.41 KB)
        yolov9c.yaml(1.39 KB)
        yolov9e-seg.yaml(2.32 KB)
        yolov9e.yaml(2.3 KB)
        yolov9m.yaml(1.38 KB)
        yolov9s.yaml(1.36 KB)
        yolov9t.yaml(1.34 KB)
        README.md(3.27 KB)
      - solutions
        default.yaml(1.63 KB)
      - trackers
        botsort.yaml(1.05 KB)
        bytetrack.yaml(886 B)
      - __pycache__
        __init__.cpython-310.pyc(33.51 KB)
      - default.yaml(8.27 KB)
      - __init__.py(38.86 KB)
    - data
      - scripts
        download_weights.sh(568 B)
        get_coco.sh(1.69 KB)
        get_coco128.sh(621 B)
        get_imagenet.sh(1.63 KB)
      - __pycache__
        augment.cpython-310.pyc(108.6 KB)
        base.cpython-310.pyc(12.72 KB)
        build.cpython-310.pyc(7.02 KB)
        converter.cpython-310.pyc(19.76 KB)
        dataset.cpython-310.pyc(19.13 KB)
        loaders.cpython-310.pyc(24.86 KB)
        utils.cpython-310.pyc(29.85 KB)
        __init__.cpython-310.pyc(604 B)
      - annotator.py(3 KB)
      - augment.py(118.47 KB)
      - base.py(14.84 KB)
      - build.py(7.5 KB)
      - converter.py(23.9 KB)
      - dataset.py(22.7 KB)
      - loaders.py(27.87 KB)
      - split_dota.py(10.48 KB)
      - utils.py(33.05 KB)
      - __init__.py(644 B)
    - engine
      - __pycache__
        exporter.cpython-310.pyc(56.7 KB)
        model.cpython-310.pyc(48.29 KB)
        predictor.cpython-310.pyc(14.62 KB)
        results.cpython-310.pyc(74.65 KB)
        trainer.cpython-310.pyc(27.27 KB)
        validator.cpython-310.pyc(13.13 KB)
        __init__.cpython-310.pyc(173 B)
      - exporter.py(75.64 KB)
      - model.py(52.17 KB)
      - predictor.py(17.46 KB)
      - results.py(76.28 KB)
      - trainer.py(36.72 KB)
      - tuner.py(11.7 KB)
      - validator.py(14.68 KB)
      - __init__.py(70 B)
    - hub
      - google
        __init__.py(7.36 KB)
      - __pycache__
        auth.cpython-310.pyc(4.37 KB)
        session.cpython-310.pyc(12.44 KB)
        utils.cpython-310.pyc(8.28 KB)
        __init__.cpython-310.pyc(5.31 KB)
      - auth.py(5.44 KB)
      - session.py(16.05 KB)
      - utils.py(9.5 KB)
      - __init__.py(5.53 KB)
    - models
      - fastsam
        __pycache__
        model.cpython-310.pyc(2.38 KB)
        predict.cpython-310.pyc(6.4 KB)
        utils.cpython-310.pyc(815 B)
        val.cpython-310.pyc(2.14 KB)
        __init__.cpython-310.pyc(342 B)
        model.py(1.99 KB)
        predict.py(7.34 KB)
        utils.py(742 B)
        val.py(1.93 KB)
        __init__.py(231 B)
      - nas
        __pycache__
        model.cpython-310.pyc(3.7 KB)
        predict.cpython-310.pyc(2.15 KB)
        val.cpython-310.pyc(1.78 KB)
        __init__.cpython-310.pyc(326 B)
        model.py(3.31 KB)
        predict.py(2.07 KB)
        val.py(1.46 KB)
        __init__.py(207 B)
      - rtdetr
        __pycache__
        model.cpython-310.pyc(2.32 KB)
        predict.cpython-310.pyc(3.68 KB)
        train.cpython-310.pyc(4.03 KB)
        val.cpython-310.pyc(5.08 KB)
        __init__.cpython-310.pyc(338 B)
        model.py(1.97 KB)
        predict.py(3.51 KB)
        train.py(3.78 KB)
        val.py(5.46 KB)
        __init__.py(225 B)
      - sam
        modules
        __pycache__
        blocks.cpython-310.pyc(42.43 KB)
        decoders.cpython-310.pyc(19.42 KB)
        encoders.cpython-310.pyc(29.74 KB)
        memory_attention.cpython-310.pyc(8.34 KB)
        sam.cpython-310.pyc(28.75 KB)
        tiny_encoder.cpython-310.pyc(36.62 KB)
        transformer.cpython-310.pyc(14.09 KB)
        utils.cpython-310.pyc(11.61 KB)
        __init__.cpython-310.pyc(185 B)
        blocks.py(44.86 KB)
        decoders.py(25.25 KB)
        encoders.py(34.04 KB)
        memory_attention.py(9.52 KB)
        sam.py(51.52 KB)
        tiny_encoder.py(40.4 KB)
        transformer.py(15.73 KB)
        utils.py(12.05 KB)
        __init__.py(70 B)
        __pycache__
        amg.cpython-310.pyc(8.24 KB)
        build.cpython-310.pyc(9.9 KB)
        model.cpython-310.pyc(7.73 KB)
        predict.cpython-310.pyc(59.38 KB)
        __init__.cpython-310.pyc(341 B)
        amg.py(8.53 KB)
        build.py(12.22 KB)
        model.py(7.24 KB)
        predict.py(80.53 KB)
        __init__.py(246 B)
      - utils
        loss.py(15.46 KB)
        ops.py(12.96 KB)
        __init__.py(70 B)
      - yolo
        classify
        __pycache__
        predict.cpython-310.pyc(3.13 KB)
        train.cpython-310.pyc(6.49 KB)
        val.cpython-310.pyc(5.62 KB)
        __init__.cpython-310.pyc(475 B)
        predict.py(2.48 KB)
        train.py(6.15 KB)
        val.py(4.98 KB)
        __init__.py(383 B)
        detect
        __pycache__
        predict.cpython-310.pyc(3.15 KB)
        train.cpython-310.pyc(7.16 KB)
        val.cpython-310.pyc(13.31 KB)
        __init__.cpython-310.pyc(359 B)
        predict.py(2.79 KB)
        train.py(6.58 KB)
        val.py(14.87 KB)
        __init__.py(257 B)
        obb
        __pycache__
        predict.cpython-310.pyc(2.27 KB)
        train.cpython-310.pyc(1.9 KB)
        val.cpython-310.pyc(8.54 KB)
        __init__.cpython-310.pyc(338 B)
        predict.py(1.84 KB)
        train.py(1.51 KB)
        val.py(8.69 KB)
        __init__.py(221 B)
        pose
        __pycache__
        predict.cpython-310.pyc(2.4 KB)
        train.cpython-310.pyc(3.26 KB)
        val.cpython-310.pyc(10.61 KB)
        __init__.cpython-310.pyc(342 B)
        predict.py(2.07 KB)
        train.py(2.88 KB)
        val.py(11.67 KB)
        __init__.py(227 B)
        segment
        __pycache__
        predict.cpython-310.pyc(3.81 KB)
        train.cpython-310.pyc(2.73 KB)
        val.cpython-310.pyc(12 KB)
        __init__.cpython-310.pyc(369 B)
        predict.py(3.34 KB)
        train.py(2.27 KB)
        val.py(13.46 KB)
        __init__.py(275 B)
        world
        __pycache__
        train.cpython-310.pyc(3.76 KB)
        __init__.cpython-310.pyc(248 B)
        train.py(3.63 KB)
        train_world.py(4.77 KB)
        __init__.py(131 B)
        __pycache__
        model.cpython-310.pyc(3.56 KB)
        __init__.cpython-310.pyc(430 B)
        model.py(4.16 KB)
        __init__.py(275 B)
      - __pycache__
        __init__.cpython-310.pyc(411 B)
      - __init__.py(293 B)
    - nn
      - modules
        __pycache__
        block.cpython-310.pyc(75.26 KB)
        conv.cpython-310.pyc(14.46 KB)
        head.cpython-310.pyc(23.78 KB)
        transformer.cpython-310.pyc(16.74 KB)
        utils.cpython-310.pyc(2.91 KB)
        __init__.cpython-310.pyc(2.36 KB)
        activation.py(923 B)
        block.py(74.56 KB)
        conv.py(12.86 KB)
        head.py(27.31 KB)
        transformer.py(17.67 KB)
        utils.py(3.15 KB)
        __init__.py(2.67 KB)
      - __pycache__
        autobackend.cpython-310.pyc(24.15 KB)
        tasks.cpython-310.pyc(43.35 KB)
        __init__.cpython-310.pyc(557 B)
      - autobackend.py(36.5 KB)
      - tasks.py(48.38 KB)
      - __init__.py(615 B)
    - solutions
      - ai_gym.py(5.16 KB)
      - analytics.py(11.28 KB)
      - distance_calculation.py(5.43 KB)
      - heatmap.py(5.21 KB)
      - object_counter.py(9.42 KB)
      - parking_management.py(11.68 KB)
      - queue_management.py(4.84 KB)
      - region_counter.py(5.12 KB)
      - security_alarm.py(5.56 KB)
      - solutions.py(7.59 KB)
      - speed_estimation.py(4.85 KB)
      - streamlit_inference.py(9.22 KB)
      - trackzone.py(2.91 KB)
      - __init__.py(852 B)
    - trackers
      - utils
        __pycache__
        gmc.cpython-310.pyc(9.88 KB)
        kalman_filter.cpython-310.pyc(18.67 KB)
        matching.cpython-310.pyc(6.62 KB)
        __init__.cpython-310.pyc(181 B)
        gmc.py(14.25 KB)
        kalman_filter.py(20.88 KB)
        matching.py(6.96 KB)
        __init__.py(70 B)
      - __pycache__
        basetrack.cpython-310.pyc(5.14 KB)
        bot_sort.cpython-310.pyc(10.87 KB)
        byte_tracker.cpython-310.pyc(18.6 KB)
        track.cpython-310.pyc(3.49 KB)
        __init__.cpython-310.pyc(341 B)
      - basetrack.py(4.35 KB)
      - bot_sort.py(10.28 KB)
      - byte_tracker.py(20.36 KB)
      - README.md(13.21 KB)
      - track.py(3.88 KB)
      - __init__.py(255 B)
    - utils
      - callbacks
        __pycache__
        base.cpython-310.pyc(5.46 KB)
        clearml.cpython-310.pyc(5.16 KB)
        comet.cpython-310.pyc(12.28 KB)
        dvc.cpython-310.pyc(4.29 KB)
        hub.cpython-310.pyc(3.26 KB)
        mlflow.cpython-310.pyc(5.17 KB)
        neptune.cpython-310.pyc(4.33 KB)
        raytune.cpython-310.pyc(764 B)
        tensorboard.cpython-310.pyc(3.18 KB)
        wb.cpython-310.pyc(6.16 KB)
        __init__.cpython-310.pyc(311 B)
        base.py(5.67 KB)
        clearml.py(5.82 KB)
        comet.py(15.63 KB)
        dvc.py(4.95 KB)
        hub.py(3.88 KB)
        mlflow.py(5.29 KB)
        neptune.py(3.75 KB)
        raytune.py(727 B)
        tensorboard.py(4.1 KB)
        wb.py(6.92 KB)
        __init__.py(242 B)
      - __pycache__
        autobatch.cpython-310.pyc(4.66 KB)
        checks.cpython-310.pyc(27.01 KB)
        dist.cpython-310.pyc(2.52 KB)
        downloads.cpython-310.pyc(19.98 KB)
        errors.cpython-310.pyc(1.19 KB)
        files.cpython-310.pyc(7.77 KB)
        instance.cpython-310.pyc(15.41 KB)
        loss.cpython-310.pyc(24.94 KB)
        metrics.cpython-310.pyc(47.23 KB)
        ops.cpython-310.pyc(29.76 KB)
        patches.cpython-310.pyc(3.17 KB)
        plotting.cpython-310.pyc(52.42 KB)
        tal.cpython-310.pyc(14.43 KB)
        torch_utils.cpython-310.pyc(29.68 KB)
        __init__.cpython-310.pyc(47.63 KB)
      - autobatch.py(4.93 KB)
      - benchmarks.py(26.12 KB)
      - checks.py(30.31 KB)
      - dist.py(2.33 KB)
      - downloads.py(21.58 KB)
      - errors.py(844 B)
      - files.py(8.06 KB)
      - instance.py(16.49 KB)
      - loss.py(33.38 KB)
      - metrics.py(52.41 KB)
      - ops.py(33.81 KB)
      - patches.py(3.22 KB)
      - plotting.py(62.59 KB)
      - tal.py(18.06 KB)
      - torch_utils.py(33.24 KB)
      - triton.py(3.98 KB)
      - tuner.py(6.15 KB)
      - __init__.py(48.74 KB)
    - __pycache__
      - __init__.cpython-310.pyc(679 B)
    - __init__.py(709 B)
  - ultralytics.egg-info
    - dependency_links.txt(1 B)
    - entry_points.txt(93 B)
    - PKG-INFO(55.11 KB)
    - requires.txt(1.06 KB)
    - SOURCES.txt(9.38 KB)
    - top_level.txt(12 B)
  - .dockerignore(294 B)
  - .gitignore(2.42 KB)
  - CITATION.cff(764 B)
  - CONTRIBUTING.md(10.05 KB)
  - LICENSE(33.71 KB)
  - mkdocs.yml(36.1 KB)
  - pyproject.toml(7.83 KB)
- 测试图片、视频
  - 0-broke-mosaic.jpg(167.06 KB)
  - 105-broke.jpg(110.17 KB)
  - 13-uc.jpg(57.53 KB)
  - 19-lose-mosaic.jpg(162.96 KB)
  - 32-broke-mosaic.jpg(157.7 KB)
  - 39-lose-mosaic.jpg(167.33 KB)
  - 56-lose.jpg(52.17 KB)
  - 63-circle-mosaic.jpg(198.09 KB)
  - 63-good-mosaic.jpg(192.45 KB)
  - outout_video1.mp4(439.69 KB)
  - outout_video2.mp4(549.84 KB)
  - output_video.mp4(31.04 MB)
  - output_video3.mp4(332.21 KB)
  - output_video4.mp4(4.48 MB)
- 训练模型、指标图
  - weights
    - best.pt(5.28 MB)
    - last.pt(5.28 MB)
  - args.yaml(1.96 KB)
  - BoxF1_curve.png(180.05 KB)
  - BoxPR_curve.png(129.57 KB)
  - BoxP_curve.png(133.1 KB)
  - BoxR_curve.png(166.77 KB)
  - confusion_matrix.png(159.57 KB)
  - confusion_matrix_normalized.png(158.32 KB)
  - labels.jpg(208.69 KB)
  - results.csv(11.67 KB)
  - results.png(241.5 KB)
  - train_batch0.jpg(403.42 KB)
  - train_batch1.jpg(500.3 KB)
  - train_batch2.jpg(443.74 KB)
  - train_batch60480.jpg(368.69 KB)
  - train_batch60481.jpg(330.54 KB)
  - train_batch60482.jpg(363.47 KB)
  - val_batch0_labels.jpg(468.1 KB)
  - val_batch0_pred.jpg(473.96 KB)
  - val_batch1_labels.jpg(483.42 KB)
  - val_batch1_pred.jpg(489.13 KB)
  - val_batch2_labels.jpg(538.32 KB)
  - val_batch2_pred.jpg(544.35 KB)
- 井盖状态数据集移出说明.docx(11.59 KB)
人工智能基于深度学习的井盖状态检测系统10.46-AI1.17_1.docx(2.66 MB)

CAD预览不完整，只显示大致框架可联系客服看全图和细节

在线预览已结束，请下载后查看完整版，加入VIP会员享文档下载特权

加入VIP 下载压缩包加入资源篮

下载提示常见问题

1、当您付费下载文档后，您只拥有了使用权限，并不意味着购买了版权，文档只能用于自身使用.。
2、本站所有内容均由合作方或网友上传，本站不对文档的完整性、权威性及其观点立场正确性做任何保证或承诺！文档内容仅供研究参考，付费前请自行鉴别。
3、如文档内容存在违规，或者侵犯商业秘密、侵犯著作权等，请点击“违规举报”。

碎片内容

2026人工智能一套基于深度学习的井盖状态检测系统10.46-AI1.17(论文+程序代码源码+测试图片、视频)定稿.zip

下载压缩包关闭预览

您可能关注的文档

发表评论取消回复

26年WH + 关注: 实名认证
内容提供者

该用户很懒，什么也没介绍

收藏店铺进入空间

2026人工智能一套基于深度学习的井盖状态检测系统10.46-AI1.17(论文+程序代码源码+测试图片、视频)定稿.zip

微信扫码分享或点击分享到

2026人工智能一套基于深度学习的井盖状态检测系统10.46-AI1.17(论文+程序代码源码+测试图片、视频)定稿.zip

您可能关注的文档

发表评论取消回复

相关文档

热门下载

相关标签

2026人工智能一套 基于深度学习的井盖状态检测系统10.46-AI1.17(论文+程序代码源码+测试图片、视频)定稿.zip

微信扫码分享或点击分享到

2026人工智能一套 基于深度学习的井盖状态检测系统10.46-AI1.17(论文+程序代码源码+测试图片、视频)定稿.zip

您可能关注的文档

发表评论取消回复

相关文档

热门下载

相关标签

2026人工智能一套基于深度学习的井盖状态检测系统10.46-AI1.17(论文+程序代码源码+测试图片、视频)定稿.zip

2026人工智能一套基于深度学习的井盖状态检测系统10.46-AI1.17(论文+程序代码源码+测试图片、视频)定稿.zip