{"id":113659,"date":"2026-10-07T04:18:02","date_gmt":"2026-10-06T20:18:02","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/113659.html"},"modified":"2026-10-07T04:18:02","modified_gmt":"2026-10-06T20:18:02","slug":"%e5%9f%ba%e4%ba%8e%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0yolov11%e6%97%a0%e4%ba%ba%e6%9c%ba%e5%9c%b0%e9%9d%a2%e5%9e%83%e5%9c%be%e6%a3%80%e6%b5%8b%e7%b3%bb%e7%bb%9f-%e6%97%a0%e4%ba%ba%e6%9c%ba%e5%9c%b0","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/113659.html","title":{"rendered":"\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60YOLOV11\u65e0\u4eba\u673a\u5730\u9762\u5783\u573e\u68c0\u6d4b\u7cfb\u7edf \u65e0\u4eba\u673a\u5730\u9762\u5783\u573e\u76d1\u6d4b\u6570\u636e\u96c6 \u822a\u62cd\u5730\u9762\u5783\u573e\u68c0\u6d4b\u6570\u636e\u96c6"},"content":{"rendered":"

\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60YOLOV11\u65e0\u4eba\u673a\u5730\u9762\u5783\u573e\u68c0\u6d4b\u7cfb\u7edf \u65e0\u4eba\u673a\u5730\u9762\u5783\u573e\u76d1\u6d4b\u6570\u636e\u96c6 \u822a\u62cd\u5730\u9762\u5783\u573e\u68c0\u6d4b\u6570\u636e\u96c6\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"
\n，1141\u5f20，\u63d0\u4f9byolo，voc，coco\u4e09\u79cd\u6807\u6ce8\u65b9\u5f0f
\n\u56fe\u50cf\u5c3a\u5bf8:416*416\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

\u7c7b\u522b\u6570\u91cf:1\u7c7b
\n\u8bad\u7ec3\u96c6\u56fe\u50cf\u6570\u91cf:799; \u9a8c\u8bc1\u96c6\u56fe\u50cf\u6570\u91cf:228； \u6d4b\u8bd5\u96c6\u56fe\u50cf\u6570\u91cf:114
\n\u7c7b\u522b\u540d\u79f0: \u6bcf\u4e00\u7c7b\u56fe\u50cf\u6570 ，\u6bcf\u4e00\u7c7b\u6807\u6ce8\u6570
\nrubbish: 1141,4185
\nimage num: 1141
\n\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

\u6a21\u578b\u4ee3\u7801
\n\u91c7\u7528 YOLOv11n \u7f51\u7edc\u8bad\u7ec3
\n\u8bad\u7ec3\u8f6e\u6b21：80 \u4e2a epoch\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

\u63d0\u4f9b\u5168\u90e8\u8bad\u7ec3 + \u6d4b\u8bd5\u6e90\u4ee3\u7801\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

\u8bad\u7ec3\u7cbe\u5ea6 mAP \u6548\u679c\u5982\u56fe\u6240\u793a
\nPyQt5 \u754c\u9762\u529f\u80fd\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

\u754c\u9762\u4f7f\u7528 PyQt5 \u5f00\u53d1，\u63d0\u4f9b\u5168\u90e8\u6e90\u7801（.ui\u3001.qrc\u3001.py \u53ca\u56fe\u6807\u6587\u4ef6）
\n\u652f\u6301\u56fe\u7247\u68c0\u6d4b\u3001\u89c6\u9891\u68c0\u6d4b\u3001\u6444\u50cf\u5934\u5b9e\u65f6\u68c0\u6d4b\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

\u754c\u9762\u5b9e\u65f6\u663e\u793a：\u76ee\u6807\u4f4d\u7f6e\u3001\u76ee\u6807\u603b\u6570\u3001\u7f6e\u4fe1\u5ea6\u7b49\u4fe1\u606f
\n\u652f\u6301\u68c0\u6d4b\u7ed3\u679c\u4fdd\u5b58\u5bfc\u51fa\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

\u57fa\u4e8eYOLOv11\u822a\u62cd\u5730\u9762\u5783\u573e\u68c0\u6d4b\u7cfb\u7edf \u7b80\u6613\u5b8c\u6574\u4ee3\u7801<\/h2>\n

1. \u73af\u5883\u5b89\u88c5<\/h3>\n

pip install<\/span> ultralytics opencv-python PyQt5 numpy<\/p>\n

2. \u6570\u636e\u96c6yaml\u914d\u7f6e rubbish.yaml<\/h3>\n

path<\/span>:<\/span> .\/rubbish_dataset
\ntrain<\/span>:<\/span> images\/train
\nval<\/span>:<\/span> images\/val
\ntest<\/span>:<\/span> images\/test<\/p>\n

names<\/span>:<\/span>
\n 0<\/span>:<\/span> rubbish
\nnc<\/span>:<\/span> 1<\/span><\/p>\n

3. \u6a21\u578b\u8bad\u7ec3\u4ee3\u7801 train.py<\/h3>\n

from<\/span> ultralytics import<\/span> YOLO<\/p>\n

if<\/span> __name__ ==<\/span> '__main__'<\/span>:<\/span>
\n # \u52a0\u8f7dYOLOv11\u6a21\u578b<\/span>
\n model =<\/span> YOLO(<\/span>"yolo11n.pt"<\/span>)<\/span>
\n # \u5f00\u59cb\u8bad\u7ec3<\/span>
\n results =<\/span> model.<\/span>train(<\/span>
\n data=<\/span>"rubbish.yaml"<\/span>,<\/span>
\n epochs=<\/span>100<\/span>,<\/span>
\n imgsz=<\/span>640<\/span>,<\/span>
\n batch=<\/span>8<\/span>,<\/span>
\n device=<\/span>0<\/span>,<\/span>
\n workers=<\/span>0<\/span>
\n )<\/span><\/p>\n

4. \u63a8\u7406GUI\u754c\u9762\u4ee3\u7801 main_gui.py（\u7b80\u6613PyQt\u754c\u9762，\u56fe\u7247\/\u89c6\u9891\/\u6444\u50cf\u5934\u68c0\u6d4b）<\/h3>\n

import<\/span> sys
\nimport<\/span> cv2
\nfrom<\/span> PyQt5.<\/span>QtWidgets import<\/span> (<\/span>QApplication,<\/span> QMainWindow,<\/span> QPushButton,<\/span> QLabel,<\/span>
\n QFileDialog,<\/span> QTextEdit,<\/span> QSpinBox)<\/span>
\nfrom<\/span> PyQt5.<\/span>QtGui import<\/span> QImage,<\/span> QPixmap
\nfrom<\/span> PyQt5.<\/span>QtCore import<\/span> Qt
\nfrom<\/span> ultralytics import<\/span> YOLO<\/p>\n

class<\/span> DetectorUI<\/span>(<\/span>QMainWindow)<\/span>:<\/span>
\n def<\/span> __init__<\/span>(<\/span>self)<\/span>:<\/span>
\n super<\/span>(<\/span>)<\/span>.<\/span>__init__(<\/span>)<\/span>
\n self.<\/span>setWindowTitle(<\/span>"\u57fa\u4e8eYOLOv11\u822a\u62cd\u5730\u9762\u5783\u573e\u68c0\u6d4b\u7cfb\u7edf"<\/span>)<\/span>
\n self.<\/span>resize(<\/span>1200<\/span>,<\/span>800<\/span>)<\/span>
\n self.<\/span>model =<\/span> YOLO(<\/span>".\/runs\/detect\/train\/weights\/best.pt"<\/span>)<\/span>
\n self.<\/span>img_label =<\/span> QLabel(<\/span>"\u56fe\u50cf\u663e\u793a\u533a\u57df"<\/span>,<\/span>self)<\/span>
\n self.<\/span>img_label.<\/span>setGeometry(<\/span>20<\/span>,<\/span>20<\/span>,<\/span>700<\/span>,<\/span>600<\/span>)<\/span>
\n self.<\/span>result_text =<\/span> QTextEdit(<\/span>self)<\/span>
\n self.<\/span>result_text.<\/span>setGeometry(<\/span>750<\/span>,<\/span>20<\/span>,<\/span>400<\/span>,<\/span>300<\/span>)<\/span><\/p>\n

self.<\/span>btn_img =<\/span> QPushButton(<\/span>"\u9009\u62e9\u56fe\u7247"<\/span>,<\/span>self)<\/span>
\n self.<\/span>btn_img.<\/span>setGeometry(<\/span>750<\/span>,<\/span>340<\/span>,<\/span>180<\/span>,<\/span>40<\/span>)<\/span>
\n self.<\/span>btn_img.<\/span>clicked.<\/span>connect(<\/span>self.<\/span>detect_image)<\/span><\/p>\n

self.<\/span>btn_video =<\/span> QPushButton(<\/span>"\u9009\u62e9\u89c6\u9891"<\/span>,<\/span>self)<\/span>
\n self.<\/span>btn_video.<\/span>setGeometry(<\/span>750<\/span>,<\/span>390<\/span>,<\/span>180<\/span>,<\/span>40<\/span>)<\/span>
\n self.<\/span>btn_video.<\/span>clicked.<\/span>connect(<\/span>self.<\/span>detect_video)<\/span><\/p>\n

self.<\/span>btn_cam =<\/span> QPushButton(<\/span>"\u6444\u50cf\u5934\u68c0\u6d4b"<\/span>,<\/span>self)<\/span>
\n self.<\/span>btn_cam.<\/span>setGeometry(<\/span>750<\/span>,<\/span>440<\/span>,<\/span>180<\/span>,<\/span>40<\/span>)<\/span>
\n self.<\/span>btn_cam.<\/span>clicked.<\/span>connect(<\/span>self.<\/span>detect_camera)<\/span><\/p>\n

def<\/span> detect_image<\/span>(<\/span>self)<\/span>:<\/span>
\n file_path,<\/span>_ =<\/span> QFileDialog.<\/span>getOpenFileName(<\/span>)<\/span>
\n if<\/span> not<\/span> file_path:<\/span>
\n return<\/span>
\n img =<\/span> cv2.<\/span>imread(<\/span>file_path)<\/span>
\n res =<\/span> self.<\/span>model(<\/span>img)<\/span>[<\/span>0<\/span>]<\/span>
\n img_plot =<\/span> res.<\/span>plot(<\/span>)<\/span>
\n rgb_img =<\/span> cv2.<\/span>cvtColor(<\/span>img_plot,<\/span>cv2.<\/span>COLOR_BGR2RGB)<\/span>
\n h,<\/span>w,<\/span>c =<\/span> rgb_img.<\/span>shape
\n qimg =<\/span> QImage(<\/span>rgb_img.<\/span>data,<\/span>w,<\/span>h,<\/span>c*<\/span>w,<\/span>QImage.<\/span>Format_RGB888)<\/span>
\n self.<\/span>img_label.<\/span>setPixmap(<\/span>QPixmap.<\/span>fromImage(<\/span>qimg)<\/span>.<\/span>scaled(<\/span>self.<\/span>img_label.<\/span>size(<\/span>)<\/span>,<\/span>Qt.<\/span>KeepAspectRatio)<\/span>)<\/span>
\n # \u8f93\u51fa\u68c0\u6d4b\u7ed3\u679c<\/span>
\n txt =<\/span> ""<\/span>
\n for<\/span> box in<\/span> res.<\/span>boxes:<\/span>
\n cls =<\/span> self.<\/span>model.<\/span>names[<\/span>int<\/span>(<\/span>box.<\/span>cls)<\/span>]<\/span>
\n conf =<\/span> float<\/span>(<\/span>box.<\/span>conf)<\/span>
\n xyxy =<\/span> box.<\/span>xyxy.<\/span>tolist(<\/span>)<\/span>[<\/span>0<\/span>]<\/span>
\n txt +=<\/span> f"\u7c7b\u522b:<\/span>{<\/span>cls}<\/span><\/span>,\u7f6e\u4fe1\u5ea6:<\/span>{<\/span>conf:<\/span>.2f<\/span>}<\/span><\/span>,\u5750\u6807:<\/span>{<\/span>xyxy}<\/span><\/span>\\\\n"<\/span><\/span>
\n self.<\/span>result_text.<\/span>setText(<\/span>txt)<\/span><\/p>\n

def<\/span> detect_video<\/span>(<\/span>self)<\/span>:<\/span>
\n path,<\/span>_ =<\/span> QFileDialog.<\/span>getOpenFileName(<\/span>)<\/span>
\n cap =<\/span> cv2.<\/span>VideoCapture(<\/span>path)<\/span>
\n while<\/span> cap.<\/span>isOpened(<\/span>)<\/span>:<\/span>
\n ret,<\/span>frame =<\/span> cap.<\/span>read(<\/span>)<\/span>
\n if<\/span> not<\/span> ret:<\/span>break<\/span>
\n res =<\/span> self.<\/span>model(<\/span>frame)<\/span>[<\/span>0<\/span>]<\/span>
\n frame =<\/span> res.<\/span>plot(<\/span>)<\/span>
\n cv2.<\/span>imshow(<\/span>"video detect"<\/span>,<\/span>frame)<\/span>
\n if<\/span> cv2.<\/span>waitKey(<\/span>1<\/span>)<\/span> &<\/span> 0xFF<\/span> ==<\/span> ord<\/span>(<\/span>'q'<\/span>)<\/span>:<\/span>
\n break<\/span>
\n cap.<\/span>release(<\/span>)<\/span>
\n cv2.<\/span>destroyAllWindows(<\/span>)<\/span><\/p>\n

def<\/span> detect_camera<\/span>(<\/span>self)<\/span>:<\/span>
\n cap =<\/span> cv2.<\/span>VideoCapture(<\/span>0<\/span>)<\/span>
\n while<\/span> cap.<\/span>isOpened(<\/span>)<\/span>:<\/span>
\n ret,<\/span>frame =<\/span> cap.<\/span>read(<\/span>)<\/span>
\n if<\/span> not<\/span> ret:<\/span>break<\/span>
\n res =<\/span> self.<\/span>model(<\/span>frame)<\/span>[<\/span>0<\/span>]<\/span>
\n frame =<\/span> res.<\/span>plot(<\/span>)<\/span>
\n cv2.<\/span>imshow(<\/span>"camera detect"<\/span>,<\/span>frame)<\/span>
\n if<\/span> cv2.<\/span>waitKey(<\/span>1<\/span>)<\/span> &<\/span> 0xFF<\/span> ==<\/span> ord<\/span>(<\/span>'q'<\/span>)<\/span>:<\/span>
\n break<\/span>
\n cap.<\/span>release(<\/span>)<\/span>
\n cv2.<\/span>destroyAllWindows(<\/span>)<\/span><\/p>\n

if<\/span> __name__ ==<\/span> "__main__"<\/span>:<\/span>
\n app =<\/span> QApplication(<\/span>sys.<\/span>argv)<\/span>
\n win =<\/span> DetectorUI(<\/span>)<\/span>
\n win.<\/span>show(<\/span>)<\/span>
\n sys.<\/span>exit(<\/span>app.<\/span>exec_(<\/span>)<\/span>)<\/span><\/p>\n

5. \u8bc4\u4f30\u4ee3\u7801 eval.py（\u751f\u6210PR\u66f2\u7ebf）<\/h3>\n

from<\/span> ultralytics import<\/span> YOLO<\/p>\n

model =<\/span> YOLO(<\/span>".\/runs\/detect\/train\/weights\/best.pt"<\/span>)<\/span>
\nmetrics =<\/span> model.<\/span>val(<\/span>)<\/span>
\nprint<\/span>(<\/span>f"mAP@0.5: <\/span>{<\/span>metrics.<\/span>box.<\/span>map50}<\/span><\/span>"<\/span><\/span>)<\/span>
\n# \u8fd0\u884c\u540e\u81ea\u52a8\u5728 runs\/val \u6587\u4ef6\u5939\u751f\u6210PR\u66f2\u7ebf\u56fe\u7247<\/span><\/p>\n

\u4f7f\u7528\u8bf4\u660e<\/h4>\n
  • \u628a\u5783\u573e\u6570\u636e\u96c6\u6309YOLO\u683c\u5f0f\u5212\u5206\u8bad\u7ec3\/\u9a8c\u8bc1\u96c6；<\/li>\n
  • \u4fee\u6539rubbish.yaml\u91cc\u7684\u8def\u5f84；<\/li>\n
  • \u8fd0\u884ctrain.py\u8bad\u7ec3；<\/li>\n
  • \u8bad\u7ec3\u5b8c\u6210，\u8fd0\u884cmain_gui.py\u542f\u52a8\u53ef\u89c6\u5316\u68c0\u6d4b\u7cfb\u7edf\u3002<\/li>\n","protected":false},"excerpt":{"rendered":"

    \u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60YOLOV11\u65e0\u4eba\u673a\u5730\u9762\u5783\u573e\u68c0\u6d4b\u7cfb\u7edf \u65e0\u4eba\u673a\u5730\u9762\u5783\u573e\u76d1\u6d4b\u6570\u636e\u96c6 \u822a\u62cd\u5730\u9762\u5783\u573e\u68c0\u6d4b\u6570\u636e\u96c6
    \n，1141\u5f20，\u63d0\u4f9byolo，voc，coco\u4e09\u79cd\u6807\u6ce8\u65b9\u5f0f
    \n\u56fe\u50cf\u5c3a\u5bf8:416*416
    \n\u7c7b\u522b\u6570\u91cf:1\u7c7b
    \n\u8bad\u7ec3\u96c6\u56fe\u50cf\u6570\u91cf:799; \u9a8c\u8bc1\u96c6\u56fe\u50cf\u6570\u91cf:228； \u6d4b\u8bd5\u96c6\u56fe\u50cf\u6570\u91cf:114
    \n\u7c7b\u522b\u540d\u79f0: \u6bcf\u4e00\u7c7b\u56fe\u50cf\u6570 ，\u6bcf\u4e00\u7c7b\u6807\u6ce8\u6570
    \nrubbish: 1141,4185
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