{"id":113767,"date":"2026-10-07T12:25:38","date_gmt":"2026-10-07T04:25:38","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/113767.html"},"modified":"2026-10-07T12:25:38","modified_gmt":"2026-10-07T04:25:38","slug":"%e5%9f%ba%e4%ba%8e%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0%e7%9a%84%e4%ba%a4%e9%80%9a%e6%a0%87%e5%bf%97%e4%b8%8e%e8%a1%8c%e4%ba%ba%e8%bd%a6%e8%be%86%e6%a3%80%e6%b5%8b%e7%b3%bb%e7%bb%9f","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/113767.html","title":{"rendered":"\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u4ea4\u901a\u6807\u5fd7\u4e0e\u884c\u4eba\u8f66\u8f86\u68c0\u6d4b\u7cfb\u7edf"},"content":{"rendered":"

\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u4ea4\u901a\u6807\u5fd7\u4e0e\u884c\u4eba\u8f66\u8f86\u68c0\u6d4b\u7cfb\u7edf \u2014\u2014 \u529f\u80fd\u4e0e\u6280\u672f\u70b9\u8be6\u89e3<\/h2>\n

\u4e00\u4e2a\u628a\u300cYOLOv8 \u76ee\u6807\u68c0\u6d4b\u300d\u548c\u300cPyQt5 \u684c\u9762\u754c\u9762\u300d\u5b8c\u6574\u6253\u901a\u7684\u5b9e\u6218\u9879\u76ee：\u65e2\u80fd\u68c0\u6d4b\u4ea4\u901a\u6807\u5fd7，\u4e5f\u80fd\u8bc6\u522b\u884c\u4eba\u4e0e\u8f66\u8f86，\u652f\u6301\u56fe\u7247\u3001\u6587\u4ef6\u5939\u6279\u91cf\u3001\u89c6\u9891\u3001\u6444\u50cf\u5934\u56db\u79cd\u8f93\u5165\u65b9\u5f0f\u3002<\/p>\n

\n

\u901a\u8fc7\u7f51\u76d8\u5206\u4eab\u7684\u6587\u4ef6：\u4ea4\u901a\u6807\u5fd7\u4e0e\u884c\u4eba\u8f66\u8f86\u68c0\u6d4b\u7cfb\u7edf8.zip
\n\u94fe\u63a5: https:\/\/pan.baidu.com\/s\/1SzfiXqEh0k8bRzFXYU0OyQ?pwd=ek4j \u63d0\u53d6\u7801: ek4j
\n\u2013\u6765\u81ea\u767e\u5ea6\u7f51\u76d8\u8d85\u7ea7\u4f1a\u5458v7\u7684\u5206\u4eab<\/p>\n

\u4e00\u3001\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/h3>\n

\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

\u9879\u76ee\u80cc\u666f<\/p>\n

\u4ea4\u901a\u573a\u666f\u4e0b\u7684\u611f\u77e5\u4efb\u52a1\u662f\u8ba1\u7b97\u673a\u89c6\u89c9\u6700\u7ecf\u5178\u7684\u5e94\u7528\u4e4b\u4e00：\u4ea4\u901a\u4fe1\u53f7\u706f\u3001\u9650\u901f\u6807\u5fd7\u3001\u4eba\u884c\u6a2a\u9053，\u4ee5\u53ca\u884c\u4eba\u3001\u516c\u4ea4\u8f66\u3001\u6c7d\u8f66\u3001\u5361\u8f66\u7b49\u76ee\u6807，\u90fd\u662f\u81ea\u52a8\u9a7e\u9a76\u4e0e\u667a\u80fd\u4ea4\u901a\u7684\u57fa\u7840\u611f\u77e5\u5bf9\u8c61\u3002<\/p>\n

\u672c\u9879\u76ee\u5b9e\u73b0\u4e86\u4e00\u5957\u5f00\u7bb1\u5373\u7528\u7684\u684c\u9762\u7ea7\u68c0\u6d4b\u7cfb\u7edf，\u628a\u8bad\u7ec3\u597d\u7684 YOLOv8 \u6a21\u578b\u5c01\u88c5\u8fdb\u56fe\u5f62\u754c\u9762，\u8ba9\u4e0d\u61c2\u7f16\u7a0b\u7684\u4f7f\u7528\u8005\u4e5f\u80fd\u76f4\u63a5\u62d6\u5165\u56fe\u7247\u6216\u89c6\u9891\u5b8c\u6210\u68c0\u6d4b，\u540c\u65f6\u4fdd\u7559\u5b8c\u6574\u7684\u53c2\u6570\u8c03\u8282\u4e0e\u7ed3\u679c\u5bfc\u51fa\u80fd\u529b\u3002<\/p>\n

\n

\u4e8c\u3001\u7cfb\u7edf\u529f\u80fd\u4e00\u89c8<\/h3>\n

2.1 \u68c0\u6d4b\u7c7b\u522b（\u5171 9 \u7c7b）<\/h4>\n\nID\u82f1\u6587\u540d\u4e2d\u6587\u540d<\/tr>\n\n\n\n\n\n\n\n\n\n\n
0<\/td>\nTrafic Light Signal<\/td>\n\u4ea4\u901a\u4fe1\u53f7\u706f<\/td>\n<\/tr>\n
1<\/td>\nStop Signal<\/td>\n\u505c\u6b62\u4fe1\u53f7<\/td>\n<\/tr>\n
2<\/td>\nSpeedlimit Signal<\/td>\n\u9650\u901f\u4fe1\u53f7<\/td>\n<\/tr>\n
3<\/td>\nCrosswalk Signal<\/td>\n\u4eba\u884c\u6a2a\u9053\u4fe1\u53f7<\/td>\n<\/tr>\n
4<\/td>\nCrosswalk<\/td>\n\u4eba\u884c\u6a2a\u9053<\/td>\n<\/tr>\n
5<\/td>\nPedestrian<\/td>\n\u884c\u4eba<\/td>\n<\/tr>\n
6<\/td>\nBus<\/td>\n\u516c\u4ea4\u8f66<\/td>\n<\/tr>\n
7<\/td>\nCar<\/td>\n\u6c7d\u8f66<\/td>\n<\/tr>\n
8<\/td>\nTruck<\/td>\n\u5361\u8f66<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

2.2 \u6838\u5fc3\u529f\u80fd<\/h4>\n\n\u529f\u80fd\u8bf4\u660e<\/tr>\n\n\n\n\n\n\n\n\n\n\n\n
\u5355\u5f20\u56fe\u7247\u68c0\u6d4b<\/td>\n\u652f\u6301 jpg \/ jpeg \/ png \/ bmp，\u68c0\u6d4b\u5b8c\u6210\u540e\u5728\u754c\u9762\u5c55\u793a\u5e26\u6846\u7ed3\u679c<\/td>\n<\/tr>\n
\u6587\u4ef6\u5939\u6279\u91cf\u68c0\u6d4b<\/td>\n\u9009\u4e2d\u6574\u4e2a\u6587\u4ef6\u5939，\u81ea\u52a8\u904d\u5386\u6240\u6709\u56fe\u7247\u9010\u5f20\u68c0\u6d4b，\u7ed3\u679c\u8ffd\u52a0\u8fdb\u7ed3\u679c\u8868\u683c<\/td>\n<\/tr>\n
\u89c6\u9891\u6587\u4ef6\u68c0\u6d4b<\/td>\n\u652f\u6301 avi \/ mp4 \/ wmv \/ mkv，\u9010\u5e27\u68c0\u6d4b\u5e76\u5b9e\u65f6\u5237\u65b0\u9884\u89c8\u753b\u9762<\/td>\n<\/tr>\n
\u6444\u50cf\u5934\u5b9e\u65f6\u68c0\u6d4b<\/td>\n\u8c03\u7528\u672c\u673a\u6444\u50cf\u5934（\u9ed8\u8ba4\u8bbe\u5907 0），\u5b9e\u65f6\u753b\u9762 + \u5b9e\u65f6\u68c0\u6d4b<\/td>\n<\/tr>\n
\u68c0\u6d4b\u53c2\u6570\u53ef\u8c03<\/td>\n\u7f6e\u4fe1\u5ea6\u9608\u503c\u3001\u4ea4\u5e76\u6bd4\u9608\u503c（IOU）\u754c\u9762\u5b9e\u65f6\u8c03\u8282，\u5373\u65f6\u751f\u6548<\/td>\n<\/tr>\n
\u6807\u7b7e\u663e\u793a\u5f00\u5173<\/td>\n\u53ef\u4e00\u952e\u5207\u6362\u300c\u663e\u793a\u7c7b\u522b\u4e0e\u7f6e\u4fe1\u5ea6\u300d\u6216\u300c\u53ea\u753b\u68c0\u6d4b\u6846\u300d<\/td>\n<\/tr>\n
\u76ee\u6807\u9010\u4e2a\u67e5\u770b<\/td>\n\u4e0b\u62c9\u6846\u9009\u62e9\u300c\u5168\u90e8\u300d\u6216\u67d0\u4e2a\u5177\u4f53\u76ee\u6807，\u5355\u72ec\u67e5\u770b\u8be5\u76ee\u6807\u7684\u6846\u4e0e\u5750\u6807<\/td>\n<\/tr>\n
\u7ed3\u679c\u4fe1\u606f\u8868\u683c<\/td>\n\u5e8f\u53f7\u3001\u6587\u4ef6\u8def\u5f84\u3001\u7c7b\u522b\u3001\u7f6e\u4fe1\u5ea6\u3001\u5750\u6807\u4f4d\u7f6e，\u9010\u6761\u5217\u51fa<\/td>\n<\/tr>\n
\u7ed3\u679c\u5bfc\u51fa<\/td>\n\u56fe\u7247\u7ed3\u679c\u5199\u5165 save_data，\u89c6\u9891\u7ed3\u679c\u5bfc\u51fa\u4e3a\u5e26\u68c0\u6d4b\u6846\u7684 avi \u6587\u4ef6<\/td>\n<\/tr>\n
\u8bad\u7ec3\u811a\u672c<\/td>\n\u63d0\u4f9b train.py，\u53ef\u57fa\u4e8e\u81ea\u6709\u6570\u636e\u96c6\u91cd\u65b0\u8bad\u7ec3\u6a21\u578b<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n

\u4e09\u3001\u6280\u672f\u67b6\u6784<\/h3>\n

\u6574\u4e2a\u7cfb\u7edf\u53ef\u4ee5\u5212\u5206\u4e3a\u4e09\u5c42，\u5c42\u6b21\u6e05\u6670\u3001\u804c\u8d23\u5355\u4e00：<\/p>\n

\u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510
\n\u2502 \u754c\u9762\u5c42（PyQt5） \u2502
\n\u2502 UiMain.py \/ style.css \/ \u5404\u7c7b\u63a7\u4ef6\u4e0e\u4fe1\u53f7\u69fd \u2502
\n\u251c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2524
\n\u2502 \u903b\u8f91\u5c42（MainProgram.py） \u2502
\n\u2502 \u4e1a\u52a1\u8c03\u5ea6：\u8bfb\u56fe\/\u8bfb\u89c6\u9891\/\u6444\u50cf\u5934\u3001\u53c2\u6570\u7ba1\u7406\u3001 \u2502
\n\u2502 \u7ed3\u679c\u5c55\u793a\u3001\u7ed3\u679c\u4fdd\u5b58\u3001\u591a\u7ebf\u7a0b \u2502
\n\u251c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2524
\n\u2502 \u63a8\u7406\u5c42（ultralytics + PyTorch） \u2502
\n\u2502 YOLOv8 \u6a21\u578b\u52a0\u8f7d\u4e0e\u63a8\u7406，\u8f93\u51fa boxes \u7ed3\u679c \u2502
\n\u251c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2524
\n\u2502 \u5de5\u5177\u5c42（detect_tools.py \/ Config.py） \u2502
\n\u2502 \u56fe\u50cf\u683c\u5f0f\u8f6c\u6362\u3001\u7ed8\u5236\u3001\u8def\u5f84\u8bfb\u53d6\u3001\u5168\u5c40\u914d\u7f6e \u2502
\n\u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518<\/p>\n

    \n
  • \u754c\u9762\u5c42：\u7531 Qt Designer \u8bbe\u8ba1 .ui \u6587\u4ef6\u5e76\u751f\u6210 UiMain.py，\u901a\u8fc7 style.css \u505a QSS \u6837\u5f0f\u7f8e\u5316\u3002<\/li>\n
  • \u903b\u8f91\u5c42：MainProgram.py \u4e2d\u7684 MainWindow \u7c7b\u8d1f\u8d23\u628a\u754c\u9762\u4e8b\u4ef6\u4e0e\u63a8\u7406\u903b\u8f91\u4e32\u8d77\u6765\u3002<\/li>\n
  • \u63a8\u7406\u5c42：\u4f7f\u7528 ultralytics \u7684 YOLO \u63a5\u53e3\u52a0\u8f7d models\/best.pt \u5b8c\u6210\u63a8\u7406\u3002<\/li>\n
  • \u5de5\u5177\u5c42：Config.py \u96c6\u4e2d\u7ba1\u7406\u6a21\u578b\u8def\u5f84\u3001\u7c7b\u522b\u540d\u79f0\u3001\u4fdd\u5b58\u8def\u5f84；detect_tools.py \u63d0\u4f9b\u7ed8\u56fe\u4e0e\u683c\u5f0f\u8f6c\u6362\u7b49\u901a\u7528\u51fd\u6570\u3002<\/li>\n<\/ul>\n
    \n

    \u56db\u3001\u6838\u5fc3\u6280\u672f\u70b9\u62c6\u89e3<\/h3>\n

    4.1 \u76ee\u6807\u68c0\u6d4b：YOLOv8 \u5355\u9636\u6bb5\u68c0\u6d4b<\/h4>\n

    \u9879\u76ee\u4f7f\u7528 YOLOv8（ultralytics 8.0.199）\u4f5c\u4e3a\u68c0\u6d4b\u6a21\u578b，\u4efb\u52a1\u7c7b\u578b\u4e3a detect：<\/p>\n

    # MainProgram.py<\/span>
    \nfrom<\/span> ultralytics import<\/span> YOLO
    \nself.<\/span>model =<\/span> YOLO(<\/span>Config.<\/span>model_path,<\/span> task=<\/span>'detect'<\/span>)<\/span><\/p>\n

    \u52a0\u8f7d\u6a21\u578b\u540e，\u4e00\u6b21\u63a8\u7406\u5373\u53ef\u62ff\u5230\u6240\u6709\u76ee\u6807\u6846\u3002\u7ed3\u679c\u4ece results \u5bf9\u8c61\u4e2d\u6309\u5b57\u6bb5\u53d6\u51fa，\u7ed3\u6784\u975e\u5e38\u6e05\u6670：<\/p>\n

    results =<\/span> self.<\/span>model(<\/span>img_path,<\/span> conf=<\/span>self.<\/span>conf_thres,<\/span> iou=<\/span>self.<\/span>iou_thres)<\/span>[<\/span>0<\/span>]<\/span><\/p>\n

    location_list =<\/span> results.<\/span>boxes.<\/span>xyxy.<\/span>tolist(<\/span>)<\/span> # \u6bcf\u4e2a\u76ee\u6807\u7684 [x1, y1, x2, y2]<\/span>
    \ncls_list =<\/span> results.<\/span>boxes.<\/span>cls.<\/span>tolist(<\/span>)<\/span> # \u6bcf\u4e2a\u76ee\u6807\u7684\u7c7b\u522b ID<\/span>
    \nconf_list =<\/span> results.<\/span>boxes.<\/span>conf.<\/span>tolist(<\/span>)<\/span> # \u6bcf\u4e2a\u76ee\u6807\u7684\u7f6e\u4fe1\u5ea6<\/span><\/p>\n

    \u8fd9\u79cd\u300c\u4e00\u6b21\u524d\u5411 + \u4e09\u4e2a\u5e76\u884c\u5217\u8868\u300d\u7684\u7ec4\u7ec7\u65b9\u5f0f，\u4e3a\u540e\u7eed\u754c\u9762\u5c55\u793a\u63d0\u4f9b\u4e86\u6781\u5927\u4fbf\u5229\u3002<\/p>\n

    4.2 \u6a21\u578b\u8bad\u7ec3\u7b56\u7565<\/h4>\n

    \u6a21\u578b\u57fa\u4e8e YOLOv8 \u67b6\u6784\u8bad\u7ec3，\u5173\u952e\u8d85\u53c2\u6570\u5982\u4e0b（\u6765\u81ea\u8bad\u7ec3\u7ed3\u679c\u76ee\u5f55\u4e2d\u7684\u914d\u7f6e\u8bb0\u5f55）：<\/p>\n\n\u53c2\u6570\u53d6\u503c\u8bf4\u660e<\/tr>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
    task<\/td>\ndetect<\/td>\n\u76ee\u6807\u68c0\u6d4b\u4efb\u52a1<\/td>\n<\/tr>\n
    epochs<\/td>\n50<\/td>\n\u8bad\u7ec3\u8f6e\u6570<\/td>\n<\/tr>\n
    batch<\/td>\n4<\/td>\n\u6279\u5927\u5c0f（\u663e\u5b58\/\u5185\u5b58\u53cb\u597d）<\/td>\n<\/tr>\n
    imgsz<\/td>\n640<\/td>\n\u8f93\u5165\u5206\u8fa8\u7387<\/td>\n<\/tr>\n
    optimizer<\/td>\nSGD<\/td>\n\u4f18\u5316\u5668<\/td>\n<\/tr>\n
    lr0 \/ lrf<\/td>\n0.01 \/ 0.01<\/td>\n\u521d\u59cb\u5b66\u4e60\u7387 \/ \u6700\u7ec8\u5b66\u4e60\u7387\u7cfb\u6570<\/td>\n<\/tr>\n
    momentum<\/td>\n0.937<\/td>\n\u52a8\u91cf<\/td>\n<\/tr>\n
    weight_decay<\/td>\n0.0005<\/td>\n\u6743\u91cd\u8870\u51cf<\/td>\n<\/tr>\n
    warmup_epochs<\/td>\n3.0<\/td>\n\u9884\u70ed\u8f6e\u6570<\/td>\n<\/tr>\n
    close_mosaic<\/td>\n10<\/td>\n\u6700\u540e 10 \u8f6e\u5173\u95ed Mosaic \u589e\u5f3a<\/td>\n<\/tr>\n
    fliplr<\/td>\n0.5<\/td>\n\u968f\u673a\u6c34\u5e73\u7ffb\u8f6c\u589e\u5f3a<\/td>\n<\/tr>\n
    mosaic<\/td>\n1.0<\/td>\nMosaic \u6570\u636e\u589e\u5f3a<\/td>\n<\/tr>\n
    erasing<\/td>\n0.4<\/td>\n\u968f\u673a\u64e6\u9664\u589e\u5f3a<\/td>\n<\/tr>\n
    degrees \/ shear \/ perspective<\/td>\n0 \/ 0 \/ 0<\/td>\n\u672a\u542f\u7528\u65cb\u8f6c\u3001\u9519\u5207\u3001\u900f\u89c6\u589e\u5f3a<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    \u51e0\u4e2a\u503c\u5f97\u6ce8\u610f\u7684\u5de5\u7a0b\u53d6\u5411：<\/p>\n

      \n
    • \u6570\u636e\u589e\u5f3a\u9002\u4e2d：\u542f\u7528\u4e86 Mosaic\u3001\u6c34\u5e73\u7ffb\u8f6c\u3001HSV \u8272\u5f69\u6270\u52a8，\u4f46\u5173\u95ed\u4e86\u65cb\u8f6c\u3001\u900f\u89c6\u7b49\u5f3a\u51e0\u4f55\u53d8\u6362\u2014\u2014\u4ea4\u901a\u573a\u666f\u7684\u76ee\u6807\u671d\u5411\u76f8\u5bf9\u56fa\u5b9a，\u8fc7\u5f3a\u7684\u51e0\u4f55\u589e\u5f3a\u53cd\u800c\u4f1a\u5f15\u5165\u566a\u58f0\u3002<\/li>\n
    • \u6700\u540e\u9636\u6bb5\u5173\u95ed Mosaic：close_mosaic=10 \u8ba9\u6a21\u578b\u5728\u8bad\u7ec3\u672b\u671f\u56de\u5f52\u771f\u5b9e\u5206\u5e03，\u63d0\u5347\u6700\u7ec8\u7cbe\u5ea6\u3002<\/li>\n
    • batch=4 \u4e0e workers=0：\u5178\u578b\u7684\u300c\u6d88\u8d39\u7ea7\u663e\u5361 \/ CPU \u73af\u5883\u4e5f\u80fd\u8dd1\u300d\u7684\u4fdd\u5b88\u914d\u7f6e\u3002<\/li>\n<\/ul>\n

      \u8bad\u7ec3\u7ed3\u679c（\u635f\u5931\u66f2\u7ebf\u3001PR \u66f2\u7ebf\u3001\u6df7\u6dc6\u77e9\u9635\u3001\u9a8c\u8bc1\u96c6\u9884\u6d4b\u53ef\u89c6\u5316\u7b49）\u5168\u90e8\u4fdd\u5b58\u5728 models\/exp27 \u76ee\u5f55\u4e2d，\u53ef\u76f4\u63a5\u7528\u4e8e\u5206\u6790\u6a21\u578b\u8868\u73b0\u3002<\/p>\n

      4.3 PyQt5 \u754c\u9762：Qt Designer + QSS<\/h4>\n

      \u754c\u9762\u91c7\u7528\u300c\u53ef\u89c6\u5316\u8bbe\u8ba1 + \u4ee3\u7801\u751f\u6210\u300d\u7684\u65b9\u5f0f：<\/p>\n

        \n
      • .ui \u6587\u4ef6\u7531 Qt Designer \u8bbe\u8ba1，UiMain.py \u7531\u5b83\u751f\u6210；<\/li>\n
      • \u4e1a\u52a1\u4ee3\u7801\u901a\u8fc7\u591a\u91cd\u7ee7\u627f\u65b9\u5f0f\u590d\u7528\u751f\u6210\u7684\u754c\u9762\u7c7b：<\/li>\n<\/ul>\n

        class<\/span> MainWindow<\/span>(<\/span>QMainWindow,<\/span> Ui_MainWindow)<\/span>:<\/span>
        \n def<\/span> __init__<\/span>(<\/span>self,<\/span> parent=<\/span>None<\/span>)<\/span>:<\/span>
        \n super<\/span>(<\/span>)<\/span>.<\/span>__init__(<\/span>parent)<\/span>
        \n self.<\/span>setupUi(<\/span>self)<\/span> # \u88c5\u8f7d\u8bbe\u8ba1\u597d\u7684\u754c\u9762<\/span>
        \n self.<\/span>initMain(<\/span>)<\/span> # \u4e1a\u52a1\u521d\u59cb\u5316<\/span>
        \n self.<\/span>signalconnect(<\/span>)<\/span> # \u7ed1\u5b9a\u4fe1\u53f7\u4e0e\u69fd<\/span><\/p>\n

          \n
        • \u5916\u89c2\u901a\u8fc7\u5916\u90e8 QSS \u6587\u4ef6\u7edf\u4e00\u7ba1\u7406，\u6837\u5f0f\u4e0e\u4ee3\u7801\u89e3\u8026：<\/li>\n<\/ul>\n

          style_file =<\/span> 'UIProgram\/style.css'<\/span>
          \nself.<\/span>setStyleSheet(<\/span>QSSLoader.<\/span>read_qss_file(<\/span>style_file)<\/span>)<\/span><\/p>\n

          \u8fd9\u79cd\u5199\u6cd5\u7684\u597d\u5904\u662f：\u6539\u754c\u9762\u4e0d\u7528\u52a8\u4e1a\u52a1\u903b\u8f91，\u6539\u6837\u5f0f\u4e0d\u7528\u91cd\u65b0\u751f\u6210\u754c\u9762\u4ee3\u7801\u3002<\/p>\n

          4.4 \u4fe1\u53f7\u4e0e\u69fd：\u754c\u9762\u54cd\u5e94\u7684\u4e8b\u4ef6\u9a71\u52a8\u6a21\u578b<\/h4>\n

          \u6240\u6709\u4ea4\u4e92\u90fd\u901a\u8fc7 Qt \u7684\u4fe1\u53f7\u69fd\u673a\u5236\u7ed1\u5b9a，\u4e00\u5904\u96c6\u4e2d\u6ce8\u518c，\u7ed3\u6784\u4e00\u76ee\u4e86\u7136：<\/p>\n

          def<\/span> signalconnect<\/span>(<\/span>self)<\/span>:<\/span>
          \n self.<\/span>PicBtn.<\/span>clicked.<\/span>connect(<\/span>self.<\/span>open_img)<\/span> # \u6253\u5f00\u56fe\u7247<\/span>
          \n self.<\/span>FilesBtn.<\/span>clicked.<\/span>connect(<\/span>self.<\/span>detact_batch_imgs)<\/span> # \u6279\u91cf\u68c0\u6d4b<\/span>
          \n self.<\/span>VideoBtn.<\/span>clicked.<\/span>connect(<\/span>self.<\/span>vedio_show)<\/span> # \u6253\u5f00\u89c6\u9891<\/span>
          \n self.<\/span>CapBtn.<\/span>clicked.<\/span>connect(<\/span>self.<\/span>camera_show)<\/span> # \u6253\u5f00\u6444\u50cf\u5934<\/span>
          \n self.<\/span>SaveBtn.<\/span>clicked.<\/span>connect(<\/span>self.<\/span>save_detect_video)<\/span> # \u4fdd\u5b58\u7ed3\u679c<\/span>
          \n self.<\/span>ExitBtn.<\/span>clicked.<\/span>connect(<\/span>QCoreApplication.<\/span>quit)<\/span> # \u9000\u51fa<\/span>
          \n self.<\/span>comboBox.<\/span>activated.<\/span>connect(<\/span>self.<\/span>combox_change)<\/span> # \u76ee\u6807\u5207\u6362<\/span><\/p>\n

          4.5 \u591a\u7ebf\u7a0b：\u8ba9\u89c6\u9891\u4fdd\u5b58\u4e0d\u518d\u5361\u6b7b\u754c\u9762<\/h4>\n

          \u89c6\u9891\u9010\u5e27\u63a8\u7406\u662f\u4e00\u4e2a\u8017\u65f6\u64cd\u4f5c，\u5982\u679c\u76f4\u63a5\u653e\u5728\u4e3b\u7ebf\u7a0b\u91cc，\u754c\u9762\u4f1a\u300c\u672a\u54cd\u5e94\u300d\u3002\u9879\u76ee\u7528 QThread \u628a\u5b83\u632a\u5230\u540e\u53f0\u7ebf\u7a0b，\u5e76\u901a\u8fc7\u4fe1\u53f7\u56de\u4f20\u8fdb\u5ea6：<\/p>\n

          class<\/span> btn2Thread<\/span>(<\/span>QThread)<\/span>:<\/span>
          \n update_ui_signal =<\/span> pyqtSignal(<\/span>int<\/span>,<\/span> int<\/span>)<\/span> # \u5f53\u524d\u5e27\u6570, \u603b\u5e27\u6570<\/span><\/p>\n

          def<\/span> run<\/span>(<\/span>self)<\/span>:<\/span>
          \n while<\/span> cap.<\/span>isOpened(<\/span>)<\/span> and<\/span> self.<\/span>is_running:<\/span>
          \n ret,<\/span> frame =<\/span> cap.<\/span>read(<\/span>)<\/span>
          \n results =<\/span> self.<\/span>model(<\/span>frame,<\/span> conf=<\/span>self.<\/span>conf,<\/span> iou=<\/span>self.<\/span>iou)<\/span>[<\/span>0<\/span>]<\/span>
          \n out.<\/span>write(<\/span>results.<\/span>plot(<\/span>)<\/span>)<\/span>
          \n self.<\/span>update_ui_signal.<\/span>emit(<\/span>cur_num,<\/span> total)<\/span> # \u4e0a\u62a5\u8fdb\u5ea6<\/span><\/p>\n

          \u4e3b\u7ebf\u7a0b\u6536\u5230\u4fe1\u53f7\u540e\u66f4\u65b0\u8fdb\u5ea6\u6761：<\/p>\n

          self.<\/span>btn2Thread_object.<\/span>update_ui_signal.<\/span>connect(<\/span>self.<\/span>update_process_bar)<\/span><\/p>\n

          \u540c\u65f6\u8fd8\u8bbe\u7f6e\u4e86 is_running \u6807\u5fd7\u4f4d，\u652f\u6301\u7528\u6237\u4e2d\u9014\u53d6\u6d88\u4fdd\u5b58（\u5173\u95ed\u8fdb\u5ea6\u6761\u7a97\u53e3\u5373\u7ec8\u6b62\u7ebf\u7a0b），\u8fd9\u662f\u4e00\u4e2a\u5f88\u5b9e\u7528\u7684\u5065\u58ee\u6027\u8bbe\u8ba1\u3002<\/p>\n

          4.6 \u56fe\u50cf\u6e32\u67d3：\u4ece OpenCV \u5230 Qt \u7684\u65e0\u7f1d\u8f6c\u6362<\/h4>\n

          OpenCV \u4f7f\u7528 BGR \u901a\u9053\u987a\u5e8f\u3001numpy \u6570\u7ec4\u5b58\u50a8；Qt \u9700\u8981 QImage \u624d\u80fd\u663e\u793a\u3002\u9879\u76ee\u5c01\u88c5\u4e86\u6807\u51c6\u8f6c\u6362\u51fd\u6570：<\/p>\n

          def<\/span> cvimg_to_qpiximg<\/span>(<\/span>cvimg)<\/span>:<\/span>
          \n height,<\/span> width,<\/span> depth =<\/span> cvimg.<\/span>shape
          \n cvimg =<\/span> cv2.<\/span>cvtColor(<\/span>cvimg,<\/span> cv2.<\/span>COLOR_BGR2RGB)<\/span> # BGR \u2192 RGB<\/span>
          \n qimg =<\/span> QImage(<\/span>cvimg.<\/span>data,<\/span> width,<\/span> height,<\/span> width *<\/span> depth,<\/span> QImage.<\/span>Format_RGB888)<\/span>
          \n return<\/span> QPixmap(<\/span>qimg)<\/span><\/p>\n

          \u540c\u65f6，\u4e3a\u4e86\u8ba9\u4e0d\u540c\u6bd4\u4f8b\u7684\u56fe\u7247\u90fd\u5b8c\u6574\u663e\u793a\u5728\u56fa\u5b9a\u5927\u5c0f\u7684\u663e\u793a\u533a\u5185，\u5b9e\u73b0\u4e86\u7b49\u6bd4\u81ea\u9002\u5e94\u7f29\u653e：<\/p>\n

          def<\/span> get_resize_size<\/span>(<\/span>self,<\/span> img)<\/span>:<\/span>
          \n img_height,<\/span> img_width,<\/span> _ =<\/span> img.<\/span>shape
          \n ratio =<\/span> img_width \/<\/span> img_height
          \n if<\/span> ratio >=<\/span> self.<\/span>show_width \/<\/span> self.<\/span>show_height:<\/span>
          \n self.<\/span>img_width =<\/span> self.<\/span>show_width
          \n self.<\/span>img_height =<\/span> int<\/span>(<\/span>self.<\/span>img_width \/<\/span> ratio)<\/span>
          \n else<\/span>:<\/span>
          \n self.<\/span>img_height =<\/span> self.<\/span>show_height
          \n self.<\/span>img_width =<\/span> int<\/span>(<\/span>self.<\/span>img_height *<\/span> ratio)<\/span>
          \n return<\/span> self.<\/span>img_width,<\/span> self.<\/span>img_height<\/p>\n

          4.7 \u4e2d\u6587\u6807\u7b7e\u7ed8\u5236：\u7ed5\u5f00 OpenCV \u7684\u77ed\u677f<\/h4>\n

          OpenCV \u7684 cv2.putText \u4e0d\u652f\u6301\u4e2d\u6587，\u76f4\u63a5\u5199\u4f1a\u663e\u793a\u6210\u300c???\u300d\u3002\u9879\u76ee\u7684\u505a\u6cd5\u662f\u4ea4\u7ed9 PIL \u7ed8\u5236：<\/p>\n

          def<\/span> drawRectBox<\/span>(<\/span>image,<\/span> rect,<\/span> addText,<\/span> fontC,<\/span> color)<\/span>:<\/span>
          \n cv2.<\/span>rectangle(<\/span>image,<\/span> (<\/span>rect[<\/span>0<\/span>]<\/span>,<\/span> rect[<\/span>1<\/span>]<\/span>)<\/span>,<\/span> (<\/span>rect[<\/span>2<\/span>]<\/span>,<\/span> rect[<\/span>3<\/span>]<\/span>)<\/span>,<\/span> color,<\/span> 2<\/span>)<\/span>
          \n cv2.<\/span>rectangle(<\/span>image,<\/span> (<\/span>rect[<\/span>0<\/span>]<\/span> –<\/span> 1<\/span>,<\/span> rect[<\/span>1<\/span>]<\/span> –<\/span> 25<\/span>)<\/span>,<\/span> (<\/span>rect[<\/span>0<\/span>]<\/span> +<\/span> 60<\/span>,<\/span> rect[<\/span>1<\/span>]<\/span>)<\/span>,<\/span> color,<\/span> –<\/span>1<\/span>)<\/span>
          \n img =<\/span> Image.<\/span>fromarray(<\/span>image)<\/span>
          \n draw =<\/span> ImageDraw.<\/span>Draw(<\/span>img)<\/span>
          \n draw.<\/span>text(<\/span>(<\/span>rect[<\/span>0<\/span>]<\/span> +<\/span> 2<\/span>,<\/span> rect[<\/span>1<\/span>]<\/span> –<\/span> 27<\/span>)<\/span>,<\/span> addText,<\/span> (<\/span>255<\/span>,<\/span> 255<\/span>,<\/span> 255<\/span>)<\/span>,<\/span> font=<\/span>fontC)<\/span>
          \n return<\/span> np.<\/span>array(<\/span>img)<\/span><\/p>\n

          \u5b57\u4f53\u5728\u7a0b\u5e8f\u542f\u52a8\u65f6\u52a0\u8f7d\u4e00\u6b21\u5e76\u590d\u7528，\u907f\u514d\u6bcf\u5e27\u90fd\u8bfb\u5b57\u4f53\u6587\u4ef6：<\/p>\n

          from<\/span> PIL import<\/span> ImageFont
          \nself.<\/span>fontC =<\/span> ImageFont.<\/span>truetype(<\/span>"Font\/platech.ttf"<\/span>,<\/span> 25<\/span>,<\/span> 0<\/span>)<\/span><\/p>\n

          4.8 \u53c2\u6570\u52a8\u6001\u8c03\u8282：\u6539\u9608\u503c\u5373\u65f6\u91cd\u68c0<\/h4>\n

          \u7f6e\u4fe1\u5ea6\u548c IOU \u9608\u503c\u4e0d\u662f\u300c\u8bbe\u5b8c\u91cd\u542f\u624d\u751f\u6548\u300d，\u800c\u662f\u6539\u52a8\u5373\u89e6\u53d1\u91cd\u68c0，\u4ea4\u4e92\u4f53\u9a8c\u66f4\u597d：<\/p>\n

          def<\/span> update_conf_thres<\/span>(<\/span>self,<\/span> value)<\/span>:<\/span>
          \n self.<\/span>conf_thres =<\/span> value
          \n if<\/span> hasattr<\/span>(<\/span>self,<\/span> 'model'<\/span>)<\/span>:<\/span>
          \n self.<\/span>model.<\/span>conf =<\/span> value
          \n if<\/span> hasattr<\/span>(<\/span>self,<\/span> 'org_img'<\/span>)<\/span>:<\/span>
          \n self.<\/span>detect_current_image(<\/span>)<\/span> # \u7acb\u5373\u7528\u65b0\u9608\u503c\u91cd\u65b0\u68c0\u6d4b\u5f53\u524d\u56fe\u7247<\/span><\/p>\n

          \u6ed1\u5757\u6eda\u52a8\u8fc7\u7a0b\u4e2d\u5c31\u80fd\u76f4\u89c2\u770b\u5230\u300c\u54ea\u4e9b\u76ee\u6807\u88ab\u8fc7\u6ee4\u6389\u4e86\u300d，\u975e\u5e38\u9002\u5408\u505a\u9608\u503c\u8c03\u4f18\u6f14\u793a\u3002<\/p>\n

          4.9 \u4e2d\u6587\u8def\u5f84\u8bfb\u53d6：cv2.imread \u7684\u9690\u85cf\u5751<\/h4>\n

          cv2.imread \u5728\u4e2d\u6587\u8def\u5f84\u4e0b\u4f1a\u9759\u9ed8\u5931\u8d25（\u8fd4\u56de None）\u3002\u9879\u76ee\u6539\u7528 imdecode \u65b9\u6848\u89c4\u907f：<\/p>\n

          def<\/span> img_cvread<\/span>(<\/span>path)<\/span>:<\/span>
          \n # \u8bfb\u53d6\u542b\u4e2d\u6587\u540d\u7684\u56fe\u7247\u6587\u4ef6<\/span>
          \n img =<\/span> cv2.<\/span>imdecode(<\/span>np.<\/span>fromfile(<\/span>path,<\/span> dtype=<\/span>np.<\/span>uint8)<\/span>,<\/span> cv2.<\/span>IMREAD_COLOR)<\/span>
          \n return<\/span> img<\/p>\n

          \u5728\u672c\u673a\u5b9e\u6d4b\u4e2d，\u9879\u76ee\u4f4d\u4e8e\u542b\u4e2d\u6587\u7684\u76ee\u5f55\u4e0b\u4f9d\u7136\u53ef\u4ee5\u6b63\u5e38\u8fd0\u884c\u3002<\/p>\n

          4.10 \u6a21\u578b\u9884\u70ed\u4e0e\u8bbe\u5907\u81ea\u52a8\u9009\u62e9<\/h4>\n

          \u4e24\u4e2a\u5bb9\u6613\u88ab\u5ffd\u7565\u4f46\u5f88\u5f71\u54cd\u4f53\u9a8c\u7684\u7ec6\u8282：<\/p>\n

          \u8bbe\u5907\u81ea\u52a8\u9009\u62e9\u2014\u2014\u6709 GPU \u7528 GPU，\u6ca1\u6709\u5c31\u9000\u56de CPU：<\/p>\n

          self.<\/span>device =<\/span> 0<\/span> if<\/span> torch.<\/span>cuda.<\/span>is_available(<\/span>)<\/span> else<\/span> 'cpu'<\/span><\/p>\n

          \u6a21\u578b\u9884\u70ed\u2014\u2014\u542f\u52a8\u65f6\u5148\u7528\u4e00\u5f20\u5c0f\u56fe\u8dd1\u4e00\u6b21\u63a8\u7406，\u628a\u7b97\u5b50\/runtime \u521d\u59cb\u5316\u63d0\u524d\u5b8c\u6210，\u907f\u514d\u7528\u6237\u70b9\u7b2c\u4e00\u5f20\u56fe\u65f6\u5361\u987f：<\/p>\n

          self.<\/span>model =<\/span> YOLO(<\/span>Config.<\/span>model_path,<\/span> task=<\/span>'detect'<\/span>)<\/span>
          \nself.<\/span>model(<\/span>np.<\/span>zeros(<\/span>(<\/span>48<\/span>,<\/span> 48<\/span>,<\/span> 3<\/span>)<\/span>)<\/span>,<\/span> device=<\/span>self.<\/span>device)<\/span> # \u9884\u5148\u52a0\u8f7d\u63a8\u7406\u6a21\u578b<\/span><\/p>\n

          \n

          \u4e94\u3001\u754c\u9762\u4ea4\u4e92\u8bbe\u8ba1<\/h3>\n

          \u754c\u9762\u6574\u4f53\u5206\u4e3a\u5de6\u53f3\u4e24\u5927\u533a\u57df，\u7b26\u5408\u300c\u5de6\u8fb9\u770b\u7ed3\u679c\u3001\u53f3\u8fb9\u770b\u6570\u636e\u300d\u7684\u4f7f\u7528\u4e60\u60ef：<\/p>\n

            \n
          • \u5de6\u4fa7\u68c0\u6d4b\u663e\u793a\u533a：\u5c55\u793a\u539f\u56fe \/ \u68c0\u6d4b\u7ed3\u679c\u56fe \/ \u89c6\u9891\u5e27，\u4e2d\u592e\u81ea\u9002\u5e94\u7f29\u653e\u3002<\/li>\n
          • \u53f3\u4fa7\u68c0\u6d4b\u7ed3\u679c\u533a：\n
              \n
            • \u9876\u90e8\u4e3a\u68c0\u6d4b\u53c2\u6570\u8bbe\u7f6e（\u6807\u7b7e\u5f00\u5173\u3001\u7f6e\u4fe1\u5ea6\u9608\u503c\u3001\u4ea4\u5e76\u6bd4\u9608\u503c）；<\/li>\n
            • \u4e2d\u90e8\u4e3a\u68c0\u6d4b\u4fe1\u606f\u9762\u677f（\u76ee\u6807\u6570\u76ee\u3001\u76ee\u6807\u9009\u62e9\u4e0b\u62c9\u6846\u3001\u7c7b\u578b\u3001\u7f6e\u4fe1\u5ea6\u3001xmin\/ymin\/xmax\/ymax\u3001\u7528\u65f6）；<\/li>\n
            • \u5e95\u90e8\u4e3a\u7ed3\u679c\u8868\u683c（\u5e8f\u53f7 \/ \u6587\u4ef6\u8def\u5f84 \/ \u7c7b\u522b \/ \u7f6e\u4fe1\u5ea6 \/ \u5750\u6807\u4f4d\u7f6e）\u3002<\/li>\n<\/ul>\n<\/li>\n
            • \u5e95\u90e8\u64cd\u4f5c\u680f：\u6253\u5f00\u56fe\u7247\u3001\u6253\u5f00\u6587\u4ef6\u5939\u3001\u6253\u5f00\u89c6\u9891\u3001\u6253\u5f00\u6444\u50cf\u5934\u3001\u4fdd\u5b58\u3001\u9000\u51fa\u3002<\/li>\n<\/ul>\n

              \u6279\u91cf\u68c0\u6d4b\u65f6\u8868\u683c\u4f1a\u81ea\u52a8\u6eda\u52a8\u5230\u6700\u65b0\u4e00\u884c，\u5e76\u901a\u8fc7 QApplication.processEvents() \u5b9e\u65f6\u5237\u65b0\u754c\u9762，\u8ba9\u7528\u6237\u770b\u5230\u300c\u9010\u5f20\u5904\u7406\u300d\u7684\u8fc7\u7a0b\u800c\u4e0d\u662f\u5047\u6b7b\u3002<\/p>\n

              \n

              \u516d\u3001\u6027\u80fd\u5b9e\u6d4b<\/h3>\n

              \u5728\u7eaf CPU \u73af\u5883\u4e0b（\u4e0d\u4f9d\u8d56\u663e\u5361）\u5b9e\u6d4b：<\/p>\n\n\u6307\u6807\u5b9e\u6d4b\u503c<\/tr>\n\n\n\n\n\n
              \u5355\u5f20\u56fe\u7247\u63a8\u7406\u8017\u65f6<\/td>\n\u7ea6 58 ~ 71 ms（640\u00d7640 \u8f93\u5165）<\/td>\n<\/tr>\n
              \u524d\u5904\u7406<\/td>\n\u7ea6 1 ~ 12 ms<\/td>\n<\/tr>\n
              \u540e\u5904\u7406<\/td>\n\u7ea6 1 ms<\/td>\n<\/tr>\n
              \u8fd0\u884c\u8bbe\u5907<\/td>\nCPU（torch.cuda.is_available() \u4e3a False \u65f6\u81ea\u52a8\u56de\u9000）<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

              \u4e5f\u5c31\u662f\u8bf4，CPU \u4e0b\u5355\u5f20\u56fe\u7247\u7ea6 0.06 ~ 0.07 \u79d2\u5373\u53ef\u5b8c\u6210\u68c0\u6d4b，\u5b9e\u65f6\u89c6\u9891\u4e0e\u6444\u50cf\u5934\u573a\u666f\u4e5f\u5b8c\u5168\u53ef\u7528（30 FPS \u89c6\u9891\u9700\u7ea6 33 ms\/\u5e27，\u5b9e\u6d4b\u63a5\u8fd1\u8be5\u91cf\u7ea7）\u3002\u82e5\u914d\u5907 GPU \u5e76\u5b89\u88c5 CUDA \u7248 PyTorch，\u901f\u5ea6\u8fd8\u53ef\u8fdb\u4e00\u6b65\u63d0\u5347\u3002<\/p>\n

              \n

              \u4e03\u3001\u5de5\u7a0b\u5316\u7ec6\u8282\u4e0e\u8e29\u5751\u8bb0\u5f55<\/h3>\n\n\u95ee\u9898\u73b0\u8c61\u89e3\u51b3\u65b9\u5f0f<\/tr>\n\n\n\n\n\n\n\n
              \u6a21\u578b\u52a0\u8f7d\u5931\u8d25<\/td>\nModuleNotFoundError: No module named 'dill'<\/td>\nbest.pt \u4f7f\u7528 dill \u5e8f\u5217\u5316，\u9700\u5728\u865a\u62df\u73af\u5883\u4e2d pip install dill<\/td>\n<\/tr>\n
              \u4e2d\u6587\u8def\u5f84\u8bfb\u56fe\u5931\u8d25<\/td>\ncv2.imread \u8fd4\u56de None<\/td>\n\u6539\u7528 cv2.imdecode + np.fromfile<\/td>\n<\/tr>\n
              \u4e2d\u6587\u6807\u7b7e\u4e71\u7801<\/td>\ncv2.putText \u663e\u793a\u95ee\u53f7<\/td>\n\u6539\u7528 PIL ImageDraw + TrueType \u5b57\u4f53\u7ed8\u5236<\/td>\n<\/tr>\n
              \u89c6\u9891\u4fdd\u5b58\u65f6\u754c\u9762\u5361\u6b7b<\/td>\n\u4e3b\u7ebf\u7a0b\u88ab\u63a8\u7406\u963b\u585e<\/td>\n\u7528 QThread \u540e\u53f0\u63a8\u7406 + \u4fe1\u53f7\u56de\u4f20\u8fdb\u5ea6<\/td>\n<\/tr>\n
              \u6362\u673a\u5668\u540e\u8bad\u7ec3\u62a5\u9519<\/td>\ndataset.yaml \u91cc\u662f\u7edd\u5bf9\u8def\u5f84<\/td>\n\u8bad\u7ec3\u524d\u6539\u4e3a\u81ea\u5df1\u7684\u6570\u636e\u96c6\u8def\u5f84<\/td>\n<\/tr>\n
              ultralytics \u81ea\u52a8\u88c5\u4f9d\u8d56\u88c5\u9519\u73af\u5883<\/td>\ndill \u88c5\u5230\u7cfb\u7edf Python \u800c\u975e\u865a\u62df\u73af\u5883<\/td>\n\u624b\u52a8\u5728\u865a\u62df\u73af\u5883\u4e2d pip install dill<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
              \n

              \u516b\u3001\u53ef\u6269\u5c55\u65b9\u5411<\/h3>\n
            • \u6a21\u578b\u5347\u7ea7：\u66ff\u6362\u4e3a YOLOv8s\/m\/l \u7b49\u66f4\u5927\u89c4\u6a21\u6a21\u578b，\u5728\u7cbe\u5ea6\u4e0e\u901f\u5ea6\u4e4b\u95f4\u91cd\u65b0\u6743\u8861\u3002<\/li>\n
            • \u76ee\u6807\u8ddf\u8e2a：\u63a5\u5165 botsort \/ bytetrack，\u4e3a\u89c6\u9891\u4e2d\u7684\u76ee\u6807\u5206\u914d ID，\u5b9e\u73b0\u8f68\u8ff9\u8ddf\u8e2a\u4e0e\u8ba1\u6570\u3002<\/li>\n
            • \u6027\u80fd\u52a0\u901f：\u5bfc\u51fa ONNX \/ TensorRT \/ OpenVINO \u683c\u5f0f，\u8fdb\u4e00\u6b65\u63d0\u5347\u63a8\u7406\u901f\u5ea6\u3002<\/li>\n
            • \u4e1a\u52a1\u529f\u80fd\u6269\u5c55：\u52a0\u5165\u8d8a\u7ebf\u68c0\u6d4b\u3001\u533a\u57df\u5165\u4fb5\u3001\u8f66\u6d41\u91cf\u7edf\u8ba1\u7b49\u4ea4\u901a\u4e8b\u4ef6\u5224\u5b9a\u3002<\/li>\n
            • \u90e8\u7f72\u5f62\u6001\u6269\u5c55：\u5c01\u88c5\u4e3a Web \u670d\u52a1（FastAPI + \u524d\u7aef），\u6216\u7528 PyInstaller \u6253\u5305\u6210\u514d\u5b89\u88c5 exe\u3002<\/li>\n
              \n

              \u4e5d\u3001\u603b\u7ed3<\/h3>\n

              \u8fd9\u4e2a\u9879\u76ee\u6700\u5927\u7684\u4ef7\u503c\u5728\u4e8e\u95ed\u73af\u5b8c\u6574：\u4ece\u6570\u636e\u51c6\u5907\u3001\u6a21\u578b\u8bad\u7ec3（train.py + dataset.yaml），\u5230\u63a8\u7406\u5c01\u88c5（ultralytics + best.pt），\u518d\u5230\u754c\u9762\u4ea4\u4e92（PyQt5）\u3001\u591a\u7ebf\u7a0b\u4f18\u5316\u3001\u7ed3\u679c\u5bfc\u51fa，\u5f62\u6210\u4e86\u4e00\u6761\u53ef\u4ee5\u76f4\u63a5\u4ea4\u4ed8\u7ed9\u4f7f\u7528\u8005\u7684\u5b8c\u6574\u94fe\u8def\u3002<\/p>\n

              \u6280\u672f\u4e0a\u5b83\u8986\u76d6\u4e86\u51e0\u4e2a\u975e\u5e38\u5b9e\u7528\u7684\u5de5\u7a0b\u8981\u70b9：<\/p>\n

                \n
              • \u5355\u9636\u6bb5\u68c0\u6d4b\u5668\u7684\u4e00\u6b21\u524d\u5411\u591a\u5b57\u6bb5\u89e3\u6790；<\/li>\n
              • Qt \u754c\u9762\u4e0e\u4e1a\u52a1\u903b\u8f91\u7684\u89e3\u8026（Qt Designer + QSS + \u4fe1\u53f7\u69fd）；<\/li>\n
              • \u8017\u65f6\u4efb\u52a1\u7684\u540e\u53f0\u7ebf\u7a0b\u5316\u4e0e\u8fdb\u5ea6\u53cd\u9988；<\/li>\n
              • \u8de8\u5e93\u534f\u4f5c\u65f6\u7684\u683c\u5f0f\u8f6c\u6362（OpenCV \u2194 Qt \u2194 PIL）；<\/li>\n
              • \u4e2d\u6587\u8def\u5f84\u3001\u4e2d\u6587\u6807\u7b7e\u8fd9\u7c7b\u300c\u56fd\u4ea7\u73af\u5883\u4e0b\u7684\u7ecf\u5178\u5751\u300d\u7684\u89c4\u907f\u65b9\u6848\u3002<\/li>\n<\/ul>\n

                \u5bf9\u4e8e\u60f3\u5165\u95e8\u300c\u6df1\u5ea6\u5b66\u4e60 + \u684c\u9762\u5e94\u7528\u300d\u843d\u5730\u7684\u5f00\u53d1\u8005\u6765\u8bf4，\u8fd9\u662f\u4e00\u4e2a\u5f88\u597d\u7684\u53c2\u8003\u6837\u672c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

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