2026人工智能一套条形码实时检测系统设计与实现4.81-AI6.94(论文+程序代码源码+系统运行说明文档)定稿.zip

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2026-09-18
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2211054139_王彦博_人工智能_条形码实时检测系统设计与实现
- .idea
  - inspectionProfiles
    - profiles_settings.xml(174 B)
  - .gitignore(50 B)
  - misc.xml(298 B)
  - modules.xml(283 B)
  - workspace.xml(27.08 KB)
  - yolov10-main.iml(321 B)
- ultralytics
  - assets
    - bus.jpg(134.2 KB)预览内容
    - zidane.jpg(49.25 KB)预览内容
  - cfg
    - datasets
      - african-wildlife.yaml(930 B)
      - Argoverse.yaml(3.09 KB)
      - brain-tumor.yaml(856 B)
      - carparts-seg.yaml(1.24 KB)
      - coco-pose.yaml(1.6 KB)
      - coco.yaml(2.55 KB)
      - coco128-seg.yaml(1.95 KB)
      - coco128.yaml(1.93 KB)
      - coco8-pose.yaml(1022 B)
      - coco8-seg.yaml(1.88 KB)
      - coco8.yaml(1.86 KB)
      - crack-seg.yaml(852 B)
      - dog-pose.yaml(907 B)
      - dota8.yaml(1.05 KB)
      - DOTAv1.5.yaml(1.2 KB)
      - DOTAv1.yaml(1.17 KB)
      - GlobalWheat2020.yaml(2.04 KB)
      - hand-keypoints.yaml(989 B)
      - ImageNet.yaml(41.54 KB)
      - lvis.yaml(29.02 KB)
      - medical-pills.yaml(848 B)
      - Objects365.yaml(9.13 KB)
      - open-images-v7.yaml(12.23 KB)
      - package-seg.yaml(864 B)
      - signature.yaml(789 B)
      - SKU-110K.yaml(2.46 KB)
      - tiger-pose.yaml(925 B)
      - VisDrone.yaml(3.04 KB)
      - VOC.yaml(3.6 KB)
      - xView.yaml(5.12 KB)
    - models
      - 11
        yolo11-cls-resnet18.yaml(794 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)
      - 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)
      - v12
        yolov12.yaml(1.88 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(1.76 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
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    - __pycache__
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    - default.yaml(8.28 KB)
    - __init__.py(38.67 KB)
  - data
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      - get_coco.sh(1.69 KB)
      - get_coco128.sh(621 B)
      - get_imagenet.sh(1.63 KB)
    - __pycache__
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    - build.py(7.42 KB)
    - converter.py(23.89 KB)
    - dataset.py(22.7 KB)
    - loaders.py(27.87 KB)
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    - utils.py(33.05 KB)
    - __init__.py(644 B)
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      - trainer.cpython-39.pyc(27.15 KB)
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      - __init__.cpython-39.pyc(199 B)
    - exporter.py(67.53 KB)
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    - results.py(73.35 KB)
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    - validator.py(14.55 KB)
    - __init__.py(70 B)
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      - model.py(1.99 KB)
      - predict.py(7.34 KB)
      - utils.py(742 B)
      - val.py(1.95 KB)
      - __init__.py(231 B)
    - nas
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      - model.py(3.19 KB)
      - predict.py(2.07 KB)
      - val.py(1.68 KB)
      - __init__.py(207 B)
    - rtdetr
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        __init__.cpython-39.pyc(364 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
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        utils.cpython-39.pyc(11.59 KB)
        __init__.cpython-39.pyc(211 B)
        blocks.py(44.86 KB)
        decoders.py(25.25 KB)
        encoders.py(34.04 KB)
        memory_attention.py(9.52 KB)
        sam.py(51.51 KB)
        tiny_encoder.py(40.4 KB)
        transformer.py(15.73 KB)
        utils.py(12.05 KB)
        __init__.py(70 B)
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      - 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
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      - ops.py(12.94 KB)
      - __init__.py(70 B)
    - yolo
      - classify
        __pycache__
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        predict.py(2.48 KB)
        train.py(6.15 KB)
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        __init__.py(383 B)
      - detect
        __pycache__
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        __init__.cpython-39.pyc(385 B)
        predict.py(1.46 KB)
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        __init__.py(257 B)
      - obb
        __pycache__
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        predict.py(2.02 KB)
        train.py(1.51 KB)
        val.py(9.15 KB)
        __init__.py(221 B)
      - pose
        __pycache__
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        __init__.cpython-39.pyc(368 B)
        predict.py(2.34 KB)
        train.py(2.88 KB)
        val.py(12.12 KB)
        __init__.py(227 B)
      - segment
        __pycache__
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        __init__.cpython-39.pyc(395 B)
        predict.py(2.44 KB)
        train.py(2.27 KB)
        val.py(13.75 KB)
        __init__.py(275 B)
      - world
        __pycache__
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        __init__.cpython-39.pyc(274 B)
        train.py(3.63 KB)
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        __init__.py(131 B)
      - __pycache__
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        __init__.cpython-39.pyc(456 B)
      - model.py(4.16 KB)
      - __init__.py(275 B)
    - __pycache__
      - __init__.cpython-39.pyc(437 B)
    - __init__.py(293 B)
  - nn
    - modules
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        head.cpython-39.pyc(24.05 KB)
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        utils.cpython-39.pyc(2.9 KB)
        __init__.cpython-39.pyc(2.38 KB)
      - activation.py(923 B)
      - block.py(51.19 KB)
      - conv.py(12.83 KB)
      - head.py(27.31 KB)
      - transformer.py(17.67 KB)
      - utils.py(3.15 KB)
      - __init__.py(2.67 KB)
    - __pycache__
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    - tasks.py(47.65 KB)
    - __init__.py(615 B)
  - solutions
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    - 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)
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      - __init__.cpython-39.pyc(345 B)
    - basetrack.py(4.35 KB)
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    - byte_tracker.py(20.36 KB)
    - README.md(13.21 KB)
    - track.py(3.81 KB)
    - __init__.py(255 B)
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    - callbacks
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  - __init__.py(709 B)
- accounts.json(64 B)
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- barcode.yaml(715 B)
- barcode_decoder.py(13.67 KB)
- check_gpu.py(1.17 KB)
- convert_coco2yolo.py(4.36 KB)
- count_dataset.py(985 B)
- data_augment.py(3.47 KB)
- draw_system_diagram.py(2.22 KB)
- kmeans_anchors.py(6.13 KB)
- LoginWindow.py(7.15 KB)
- main.py(24.83 KB)
- model_comparison.json(1.28 KB)
- model_pruning_quantization.py(9.23 KB)
- optimized_model_results.json(1 KB)
- optimized_yolov12.py(13.07 KB)
- performance.prof(1.64 MB)
- quality_evaluator.py(8.51 KB)
- requirements.txt(458 B)预览内容
- scene_classifier.pth(8.73 MB)
- scene_classifier.py(8.48 KB)
- split_dataset.py(3.22 KB)
- test_decoder.py(1.83 KB)
- test_decoder_with_roi.py(2.74 KB)
- test_distortion_fix.py(3.13 KB)
- test_performance.py(1.57 KB)
- test_quality_suggestions.py(3.7 KB)
- test_real_scenes.py(3.59 KB)
- test_scene_classifier.py(1.19 KB)
- train_optimized_model_complete.py(5.42 KB)
- train_original_model.py(4.49 KB)
- train_scene_classifier_complete.py(15.83 KB)
- UiMain.py(22.92 KB)
- _annotations.coco.json(8.3 MB)
- 系统运行说明文档.docx(96.54 KB)预览内容
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2026人工智能一套条形码实时检测系统设计与实现4.81-AI6.94(论文+程序代码源码+系统运行说明文档)定稿.zip

2026人工智能一套条形码实时检测系统设计与实现4.81-AI6.94(论文+程序代码源码+系统运行说明文档)定稿.zip