\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60YOLOv12\u7684\u5b66\u751f\u8bfe\u5802\u884c\u4e3a\u8bc6\u522b\u68c0\u6d4b\u7cfb\u7edf（YOLOv12+YOLO\u6570\u636e\u96c6+UI\u754c\u9762+\u767b\u5f55\u6ce8\u518c\u754c\u9762+Python\u9879\u76ee\u6e90\u7801+\u6a21\u578b）<\/p>\n
\u4e8c\u3001\u9879\u76ee\u529f\u80fd\u5c55\u793a<\/h3>\n<\/p>\n
\u2705\u00a0\u7528\u6237\u767b\u5f55\u6ce8\u518c：\u652f\u6301\u5bc6\u7801\u68c0\u6d4b\u548c\u5b89\u5168\u6027\u9a8c\u8bc1\u3002<\/p>\n
\u2705\u00a0\u4e09\u79cd\u68c0\u6d4b\u6a21\u5f0f：\u57fa\u4e8eYOLOv12\u6a21\u578b，\u652f\u6301\u56fe\u7247\u3001\u89c6\u9891\u548c\u5b9e\u65f6\u6444\u50cf\u5934\u4e09\u79cd\u68c0\u6d4b，\u7cbe\u51c6\u8bc6\u522b\u76ee\u6807\u3002<\/p>\n
\u2705\u00a0\u53cc\u753b\u9762\u5bf9\u6bd4：\u540c\u5c4f\u663e\u793a\u539f\u59cb\u753b\u9762\u4e0e\u68c0\u6d4b\u7ed3\u679c\u3002<\/p>\n
\u2705\u00a0\u6570\u636e\u53ef\u89c6\u5316：\u5b9e\u65f6\u8868\u683c\u5c55\u793a\u68c0\u6d4b\u76ee\u6807\u7684\u7c7b\u522b\u3001\u7f6e\u4fe1\u5ea6\u53ca\u5750\u6807\u3002<\/p>\n
\u2705\u667a\u80fd\u53c2\u6570\u8c03\u8282：\u63d0\u4f9b\u7f6e\u4fe1\u5ea6\u6ed1\u5757，\u52a8\u6001\u4f18\u5316\u68c0\u6d4b\u7cbe\u5ea6，\u9002\u5e94\u4e0d\u540c\u573a\u666f\u9700\u6c42\u3002<\/p>\n
\u2705\u79d1\u5e7b\u98ce\u4ea4\u4e92\u754c\u9762：\u6df1\u8272\u4e3b\u9898\u642d\u914d\u52a8\u6001\u5149\u6548，\u51cf\u5c11\u89c6\u89c9\u75b2\u52b3，\u63d0\u5347\u64cd\u4f5c\u4f53\u9a8c\u3002<\/p>\n
\u2705\u591a\u7ebf\u7a0b\u9ad8\u6027\u80fd\u67b6\u6784：\u72ec\u7acb\u68c0\u6d4b\u7ebf\u7a0b\u4fdd\u969c\u6d41\u7545\u8fd0\u884c，\u5b9e\u65f6\u72b6\u6001\u63d0\u793a，\u54cd\u5e94\u8fc5\u901f\u65e0\u5361\u987f\u3002<\/p>\n
![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260130204205-697d179d9f017.png\")
![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260130204205-697d179dc7968.png\")
![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260130204206-697d179ee49f6.png\")
![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260130204207-697d179fb608f.png\")
![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260130204208-697d17a08b538.png\")
![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260130204209-697d17a15cb7d.png\")
<\/p>\n<\/p>\n
2.1 \u7528\u6237\u767b\u5f55\u7cfb\u7edf<\/h4>\n\n- \n
\u63d0\u4f9b\u7528\u6237\u767b\u5f55\u548c\u6ce8\u518c\u529f\u80fd<\/p>\n<\/li>\n
- \n
\u7528\u6237\u540d\u548c\u5bc6\u7801\u9a8c\u8bc1<\/p>\n<\/li>\n
- \n
\u8d26\u6237\u4fe1\u606f\u672c\u5730\u5b58\u50a8(accounts.json)<\/p>\n<\/li>\n
- \n
\u5bc6\u7801\u957f\u5ea6\u81f3\u5c116\u4f4d\u7684\u5b89\u5168\u8981\u6c42<\/p>\n<\/li>\n<\/ul>\n
2.2 \u68c0\u6d4b\u529f\u80fd<\/h4>\n\n- \n
\u56fe\u7247\u68c0\u6d4b：\u652f\u6301JPG\/JPEG\/PNG\/BMP\u683c\u5f0f\u56fe\u7247\u7684\u706b\u7130\u70df\u96fe\u68c0\u6d4b<\/p>\n<\/li>\n
- \n
\u89c6\u9891\u68c0\u6d4b：\u652f\u6301MP4\/AVI\/MOV\u683c\u5f0f\u89c6\u9891\u7684\u9010\u5e27\u68c0\u6d4b<\/p>\n<\/li>\n
- \n
\u6444\u50cf\u5934\u68c0\u6d4b：\u5b9e\u65f6\u6444\u50cf\u5934\u6d41\u68c0\u6d4b(\u9ed8\u8ba4\u6444\u50cf\u59340)<\/p>\n<\/li>\n
- \n
\u68c0\u6d4b\u7ed3\u679c\u4fdd\u5b58\u5230"results"\u76ee\u5f55<\/p>\n<\/li>\n<\/ul>\n
2.3 \u68c0\u6d4b\u7ed3\u679c\u663e\u793a<\/h4>\n\n- \n
\u663e\u793a\u539f\u59cb\u56fe\u50cf\u548c\u68c0\u6d4b\u7ed3\u679c\u56fe\u50cf<\/p>\n<\/li>\n
- \n
\u68c0\u6d4b\u7ed3\u679c\u8868\u683c\u5c55\u793a，\u5305\u542b：<\/p>\n
\n- \n
\u68c0\u6d4b\u5230\u7684\u7c7b\u522b<\/p>\n<\/li>\n
- \n
\u7f6e\u4fe1\u5ea6\u5206\u6570<\/p>\n<\/li>\n
- \n
\u7269\u4f53\u4f4d\u7f6e\u5750\u6807(x,y)\u3001<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
2.4 \u53c2\u6570\u914d\u7f6e<\/h4>\n\n- \n
\u6a21\u578b\u9009\u62e9<\/p>\n<\/li>\n
- \n
\u7f6e\u4fe1\u5ea6\u9608\u503c\u8c03\u8282(0-1.0)<\/p>\n<\/li>\n
- \n
IoU(\u4ea4\u5e76\u6bd4)\u9608\u503c\u8c03\u8282(0-1.0)<\/p>\n<\/li>\n
- \n
\u5b9e\u65f6\u540c\u6b65\u6ed1\u5757\u548c\u6570\u503c\u8f93\u5165\u6846<\/p>\n<\/li>\n<\/ul>\n
2.5 \u5176\u4ed6\u529f\u80fd<\/h4>\n\n- \n
\u68c0\u6d4b\u7ed3\u679c\u4fdd\u5b58\u529f\u80fd<\/p>\n<\/li>\n
- \n
\u89c6\u9891\u68c0\u6d4b\u65f6\u81ea\u52a8\u4fdd\u5b58\u7ed3\u679c\u89c6\u9891<\/p>\n<\/li>\n
- \n
\u72b6\u6001\u680f\u663e\u793a\u7cfb\u7edf\u72b6\u6001\u548c\u6700\u540e\u66f4\u65b0\u65f6\u95f4<\/p>\n<\/li>\n
- \n
\u65e0\u8fb9\u6846\u7a97\u53e3\u8bbe\u8ba1，\u53ef\u62d6\u52a8\u548c\u8c03\u6574\u5927\u5c0f<\/p>\n<\/li>\n<\/ul>\n
3. \u6280\u672f\u7279\u70b9<\/h3>\n\n- \n
\u91c7\u7528\u591a\u7ebf\u7a0b\u5904\u7406\u68c0\u6d4b\u4efb\u52a1，\u907f\u514d\u754c\u9762\u5361\u987f<\/p>\n<\/li>\n
- \n
\u7cbe\u7f8e\u7684UI\u8bbe\u8ba1，\u5177\u6709\u79d1\u6280\u611f\u7684\u89c6\u89c9\u6548\u679c：<\/p>\n
\n- \n
\u53d1\u5149\u8fb9\u6846\u548c\u6309\u94ae<\/p>\n<\/li>\n
- \n
\u60ac\u505c\u548c\u6309\u4e0b\u72b6\u6001\u6548\u679c<\/p>\n<\/li>\n
- \n
\u81ea\u5b9a\u4e49\u6ed1\u5757\u3001\u8868\u683c\u548c\u4e0b\u62c9\u6846\u6837\u5f0f<\/p>\n<\/li>\n<\/ul>\n<\/li>\n
- \n
\u68c0\u6d4b\u7ed3\u679c\u4fdd\u5b58\u673a\u5236<\/p>\n<\/li>\n
- \n
\u54cd\u5e94\u5f0f\u5e03\u5c40，\u9002\u5e94\u4e0d\u540c\u7a97\u53e3\u5927\u5c0f<\/p>\n<\/li>\n<\/ul>\n
4. \u7cfb\u7edf\u6d41\u7a0b<\/h3>\n
- \n
\u7528\u6237\u767b\u5f55\/\u6ce8\u518c<\/p>\n<\/li>\n
- \n
\u9009\u62e9\u68c0\u6d4b\u6a21\u5f0f(\u56fe\u7247\/\u89c6\u9891\/\u6444\u50cf\u5934)<\/p>\n<\/li>\n
- \n
\u8c03\u6574\u68c0\u6d4b\u53c2\u6570(\u53ef\u9009)<\/p>\n<\/li>\n
- \n
\u5f00\u59cb\u68c0\u6d4b\u5e76\u67e5\u770b\u7ed3\u679c<\/p>\n<\/li>\n
- \n
\u53ef\u9009\u62e9\u4fdd\u5b58\u68c0\u6d4b\u7ed3\u679c<\/p>\n<\/li>\n
- \n
\u505c\u6b62\u68c0\u6d4b\u6216\u5207\u6362\u5176\u4ed6\u6a21\u5f0f<\/p>\n<\/li>\n<\/p>\n
\u4e09\u3001\u6570\u636e\u96c6\u4ecb\u7ecd<\/h3>\n<\/p>\n
\u672c\u7cfb\u7edf\u91c7\u7528YOLO\u683c\u5f0f\u6807\u6ce8\u7684\u5b66\u751f\u8bfe\u5802\u884c\u4e3a\u6570\u636e\u96c6，\u5171\u5305\u542b\u00a06 \u7c7b\u884c\u4e3a，\u7528\u4e8e\u8bad\u7ec3\u3001\u9a8c\u8bc1\u548c\u6d4b\u8bd5\u57fa\u4e8e\u00a0YOLOv12\u00a0\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u3002\u6570\u636e\u96c6\u7ecf\u8fc7\u4e25\u683c\u7b5b\u9009\u548c\u6807\u6ce8，\u786e\u4fdd\u6a21\u578b\u80fd\u591f\u51c6\u786e\u8bc6\u522b\u8bfe\u5802\u73af\u5883\u4e2d\u7684\u5b66\u751f\u884c\u4e3a\u3002<\/p>\n
1. \u6570\u636e\u96c6\u7c7b\u522b<\/h5>\n
\u6570\u636e\u96c6\u4e2d\u5305\u542b\u4ee5\u4e0b\u00a06 \u79cd\u8bfe\u5802\u884c\u4e3a：<\/p>\n
- \n
hand-raising（\u4e3e\u624b）<\/p>\n<\/li>\n
- \n
reading（\u9605\u8bfb）<\/p>\n<\/li>\n
- \n
writing（\u4e66\u5199）<\/p>\n<\/li>\n
- \n
using phone（\u4f7f\u7528\u624b\u673a）<\/p>\n<\/li>\n
- \n
bowing the head（\u4f4e\u5934）<\/p>\n<\/li>\n
- \n
leaning over the table（\u8db4\u684c\u5b50）<\/p>\n<\/li>\n
2. \u6570\u636e\u96c6\u5212\u5206<\/h5>\n
\u6570\u636e\u96c6\u6309\u7167\u00a0\u8bad\u7ec3\u96c6\u3001\u9a8c\u8bc1\u96c6\u3001\u6d4b\u8bd5\u96c6\u00a0\u8fdb\u884c\u5212\u5206，\u786e\u4fdd\u6a21\u578b\u8bad\u7ec3\u548c\u8bc4\u4f30\u7684\u79d1\u5b66\u6027：<\/p>\n
\n- \n
\u8bad\u7ec3\u96c6（Train）：1,422 \u5f20\u56fe\u50cf（\u7528\u4e8e\u6a21\u578b\u8bad\u7ec3）<\/p>\n<\/li>\n
- \n
\u9a8c\u8bc1\u96c6（Validation）：203 \u5f20\u56fe\u50cf（\u7528\u4e8e\u8d85\u53c2\u6570\u8c03\u4f18）<\/p>\n<\/li>\n
- \n
\u6d4b\u8bd5\u96c6（Test）：407 \u5f20\u56fe\u50cf（\u7528\u4e8e\u6700\u7ec8\u6a21\u578b\u8bc4\u4f30）<\/p>\n<\/li>\n<\/ul>\n
\u6570\u636e\u96c6\u914d\u7f6e\u6587\u4ef6<\/h4>\n
\u6570\u636e\u96c6\u91c7\u7528\u6807\u51c6\u5316YOLO\u683c\u5f0f\u7ec4\u7ec7：<\/p>\n
train: F:\\\\\u5b66\u751f\u8bfe\u5802\u884c\u4e3a\u68c0\u6d4b\u6570\u636e\u96c6\/images\/train
\nval: F:\\\\\u5b66\u751f\u8bfe\u5802\u884c\u4e3a\u68c0\u6d4b\u6570\u636e\u96c6\/images\/val
\ntest: F:\\\\\u5b66\u751f\u8bfe\u5802\u884c\u4e3a\u68c0\u6d4b\u6570\u636e\u96c6\/images\/test<\/p>\n
##\/datasets\/dataset\/images\/test
\n# number of classes
\nnc: 6<\/p>\n
# class names
\nnames: [ 'hand-raising', 'reading', 'writing','using phone', 'bowing the head', 'leaning over the table'] <\/p>\n
![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260130204210-697d17a22429f.png\")
![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260130204211-697d17a3160c9.png\")
![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260130204211-697d17a378b9c.png\")
![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260130204211-697d17a3f0614.jpg\")
![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260130204213-697d17a53e820.jpg\")
![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260130204214-697d17a66f9fb.jpg\")
![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260130204215-697d17a7db7fa.jpg\")
<\/p>\n<\/p>\n<\/p>\n
\u56db\u3001\u9879\u76ee\u73af\u5883\u914d\u7f6e<\/h3>\n\u521b\u5efa\u865a\u62df\u73af\u5883<\/h4>\n
\u9996\u5148\u65b0\u5efa\u4e00\u4e2aAnaconda\u73af\u5883，\u6bcf\u4e2a\u9879\u76ee\u7528\u4e0d\u540c\u7684\u73af\u5883，\u8fd9\u6837\u9879\u76ee\u4e2d\u6240\u7528\u7684\u4f9d\u8d56\u5305\u4e92\u4e0d\u5e72\u6270\u3002<\/p>\n<\/p>\n
\u7ec8\u7aef\u8f93\u5165<\/p>\n
conda create -n yolov12 python==3.9<\/p>\n
![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260130204217-697d17a9876d9.png\")
<\/p>\n<\/p>\n
\u6fc0\u6d3b\u865a\u62df\u73af\u5883<\/p>\n
conda activate yolov12 ![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260130204217-697d17a9ac795.png\")
<\/p>\n<\/p>\n
\u5b89\u88c5cpu\u7248\u672cpytorch<\/p>\n
pip install torch torchvision torchaudio <\/p>\n
![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260130204217-697d17a9c34a0.png\")
<\/p>\n<\/p>\n
\u5b89\u88c5\u6240\u9700\u8981\u5e93<\/h4>\n
pip install -r requirements.txt<\/p>\n<\/p>\n
pycharm\u4e2d\u914d\u7f6eanaconda<\/p>\n<\/p>\n
![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260130204217-697d17a9e353a.png\")
![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260130204218-697d17aa1445b.png\")
<\/p>\n<\/p>\n
\u4e94\u3001\u6a21\u578b\u8bad\u7ec3<\/h3>\n\u8bad\u7ec3\u4ee3\u7801<\/h4>\n
from ultralytics import YOLO<\/p>\n
model_path = 'yolo12s.pt'
\ndata_path = 'data.yaml'<\/p>\n
if __name__ == '__main__':
\n model = YOLO(model_path)
\n results = model.train(data=data_path,
\n epochs=100,
\n batch=8,
\n device='0',
\n workers=0,
\n project='runs',
\n name='exp',
\n )
\n\u6839\u636e\u5b9e\u9645\u60c5\u51b5\u66f4\u6362\u6a21\u578b
\n# yolov12n.yaml (nano)：\u8f7b\u91cf\u5316\u6a21\u578b，\u9002\u5408\u5d4c\u5165\u5f0f\u8bbe\u5907，\u901f\u5ea6\u5feb\u4f46\u7cbe\u5ea6\u7565\u4f4e\u3002
\n# yolov12s.yaml (small)：\u5c0f\u6a21\u578b，\u9002\u5408\u5b9e\u65f6\u4efb\u52a1\u3002
\n# yolov12m.yaml (medium)：\u4e2d\u7b49\u5927\u5c0f\u6a21\u578b，\u517c\u987e\u901f\u5ea6\u548c\u7cbe\u5ea6\u3002
\n# yolov12b.yaml (base)：\u57fa\u672c\u7248\u6a21\u578b，\u9002\u5408\u5927\u90e8\u5206\u5e94\u7528\u573a\u666f\u3002
\n# yolov12l.yaml (large)：\u5927\u578b\u6a21\u578b，\u9002\u5408\u5bf9\u7cbe\u5ea6\u8981\u6c42\u9ad8\u7684\u4efb\u52a1\u3002 <\/p>\n
\n- –batch 8：\u6bcf\u6279\u6b218\u5f20\u56fe\u50cf\u3002<\/li>\n
- –epochs 100：\u8bad\u7ec3100\u8f6e\u3002<\/li>\n
- –datasets\/data.yaml：\u6570\u636e\u96c6\u914d\u7f6e\u6587\u4ef6\u3002<\/li>\n
- –weights yolov12s.pt：\u521d\u59cb\u5316\u6a21\u578b\u6743\u91cd，yolov12s.pt \u662f\u9884\u8bad\u7ec3\u7684\u8f7b\u91cf\u7ea7YOLO\u6a21\u578b\u3002<\/li>\n<\/ul>\n
\u8bad\u7ec3\u7ed3\u679c<\/h4>\n
![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260130204218-697d17aa4d11c.png\")
<\/p>\n<\/p>\n
![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260130204218-697d17aabf170.png\")
<\/p>\n
![\"\"](\"2026-01-315fym43bi22d.png\")
<\/p>\n<\/p>\n
![\"\"](\"2026-01-31m4clcxlrr1f.png\")
![\"\"](\"2026-01-31juuf2py2b4e.png\")
![\"\"](\"2026-01-31wtctt2z5z40.png\")
<\/p>\n<\/p>\n
![\"\"](\"2026-01-31rpe1z3e4y5b.jpg\")
<\/p>\n
![\"\"](\"2026-01-31np1gz3uhgft.jpg\")
<\/p>\n
![\"\"](\"2026-01-31eqnpdjxjlpl.jpg\")
<\/p>\n
![\"\"](\"2026-01-31krvihknhyoq.jpg\")
<\/p>\n<\/p>\n
\u516d\u3001\u6838\u5fc3\u4ee3\u7801<\/h3>\n
![\"\"](\"2026-01-311xntglfzrti.png\")
<\/p>\n
import sys<\/p>\n
import cv2
\nimport numpy as np
\nfrom PyQt5.QtWidgets import QApplication, QMessageBox, QFileDialog
\nfrom PyQt5.QtCore import QThread, pyqtSignal
\nfrom ultralytics import YOLO
\nfrom UiMain import UiMainWindow
\nimport time
\nimport os
\nfrom PyQt5.QtWidgets import QDialog
\nfrom LoginWindow import LoginWindow<\/p>\n
class DetectionThread(QThread):
\n frame_received = pyqtSignal(np.ndarray, np.ndarray, list) # \u539f\u59cb\u5e27, \u68c0\u6d4b\u5e27, \u68c0\u6d4b\u7ed3\u679c
\n finished_signal = pyqtSignal() # \u7ebf\u7a0b\u5b8c\u6210\u4fe1\u53f7<\/p>\n
def __init__(self, model, source, conf, iou, parent=None):
\n super().__init__(parent)
\n self.model = model
\n self.source = source
\n self.conf = conf
\n self.iou = iou
\n self.running = True<\/p>\n
def run(self):
\n try:
\n if isinstance(self.source, int) or self.source.endswith(('.mp4', '.avi', '.mov')): # \u89c6\u9891\u6216\u6444\u50cf\u5934
\n cap = cv2.VideoCapture(self.source)
\n while self.running and cap.isOpened():
\n ret, frame = cap.read()
\n if not ret:
\n break<\/p>\n
# \u4fdd\u5b58\u539f\u59cb\u5e27
\n original_frame = frame.copy()<\/p>\n
# \u68c0\u6d4b
\n results = self.model(frame, conf=self.conf, iou=self.iou)
\n annotated_frame = results[0].plot()<\/p>\n
# \u63d0\u53d6\u68c0\u6d4b\u7ed3\u679c
\n detections = []
\n for result in results:
\n for box in result.boxes:
\n class_id = int(box.cls)
\n class_name = self.model.names[class_id]
\n confidence = float(box.conf)
\n x, y, w, h = box.xywh[0].tolist()
\n detections.append((class_name, confidence, x, y))<\/p>\n
# \u53d1\u9001\u4fe1\u53f7
\n self.frame_received.emit(
\n cv2.cvtColor(original_frame, cv2.COLOR_BGR2RGB),
\n cv2.cvtColor(annotated_frame, cv2.COLOR_BGR2RGB),
\n detections
\n )<\/p>\n
# \u63a7\u5236\u5e27\u7387
\n time.sleep(0.03) # \u7ea630fps<\/p>\n
cap.release()
\n else: # \u56fe\u7247
\n frame = cv2.imread(self.source)
\n if frame is not None:
\n original_frame = frame.copy()
\n results = self.model(frame, conf=self.conf, iou=self.iou)
\n annotated_frame = results[0].plot()<\/p>\n
# \u63d0\u53d6\u68c0\u6d4b\u7ed3\u679c
\n detections = []
\n for result in results:
\n for box in result.boxes:
\n class_id = int(box.cls)
\n class_name = self.model.names[class_id]
\n confidence = float(box.conf)
\n x, y, w, h = box.xywh[0].tolist()
\n detections.append((class_name, confidence, x, y))<\/p>\n
self.frame_received.emit(
\n cv2.cvtColor(original_frame, cv2.COLOR_BGR2RGB),
\n cv2.cvtColor(annotated_frame, cv2.COLOR_BGR2RGB),
\n detections
\n )<\/p>\n
except Exception as e:
\n print(f"Detection error: {e}")
\n finally:
\n self.finished_signal.emit()<\/p>\n
def stop(self):
\n self.running = False<\/p>\n
class MainWindow(UiMainWindow):
\n def __init__(self):
\n super().__init__()<\/p>\n
# \u521d\u59cb\u5316\u6a21\u578b
\n self.model = None
\n self.detection_thread = None
\n self.current_image = None
\n self.current_result = None
\n self.video_writer = None
\n self.is_camera_running = False
\n self.is_video_running = False
\n self.last_detection_result = None # \u65b0\u589e：\u4fdd\u5b58\u6700\u540e\u4e00\u6b21\u68c0\u6d4b\u7ed3\u679c<\/p>\n
# \u8fde\u63a5\u6309\u94ae\u4fe1\u53f7
\n self.image_btn.clicked.connect(self.detect_image)
\n self.video_btn.clicked.connect(self.detect_video)
\n self.camera_btn.clicked.connect(self.detect_camera)
\n self.stop_btn.clicked.connect(self.stop_detection)
\n self.save_btn.clicked.connect(self.save_result)<\/p>\n
# \u521d\u59cb\u5316\u6a21\u578b
\n self.load_model()<\/p>\n
def load_model(self):
\n try:
\n model_name = self.model_combo.currentText()
\n self.model = YOLO(f"{model_name}.pt") # \u81ea\u52a8\u4e0b\u8f7d\u6216\u52a0\u8f7d\u672c\u5730\u6a21\u578b
\n self.update_status(f"\u6a21\u578b {model_name} \u52a0\u8f7d\u6210\u529f")
\n except Exception as e:
\n QMessageBox.critical(self, "\u9519\u8bef", f"\u6a21\u578b\u52a0\u8f7d\u5931\u8d25: {str(e)}")
\n self.update_status("\u6a21\u578b\u52a0\u8f7d\u5931\u8d25")<\/p>\n
def detect_image(self):
\n if self.detection_thread and self.detection_thread.isRunning():
\n QMessageBox.warning(self, "\u8b66\u544a", "\u8bf7\u5148\u505c\u6b62\u5f53\u524d\u68c0\u6d4b\u4efb\u52a1")
\n return<\/p>\n
file_path, _ = QFileDialog.getOpenFileName(
\n self, "\u9009\u62e9\u56fe\u7247", "", "\u56fe\u7247\u6587\u4ef6 (*.jpg *.jpeg *.png *.bmp)")<\/p>\n
if file_path:
\n self.clear_results()
\n self.current_image = cv2.imread(file_path)
\n self.current_image = cv2.cvtColor(self.current_image, cv2.COLOR_BGR2RGB)
\n self.display_image(self.original_image_label, self.current_image)<\/p>\n
# \u521b\u5efa\u68c0\u6d4b\u7ebf\u7a0b
\n conf = self.confidence_spinbox.value()
\n iou = self.iou_spinbox.value()
\n self.detection_thread = DetectionThread(self.model, file_path, conf, iou)
\n self.detection_thread.frame_received.connect(self.on_frame_received)
\n self.detection_thread.finished_signal.connect(self.on_detection_finished)
\n self.detection_thread.start()<\/p>\n
self.update_status(f"\u6b63\u5728\u68c0\u6d4b\u56fe\u7247: {os.path.basename(file_path)}")<\/p>\n
def detect_video(self):
\n if self.detection_thread and self.detection_thread.isRunning():
\n QMessageBox.warning(self, "\u8b66\u544a", "\u8bf7\u5148\u505c\u6b62\u5f53\u524d\u68c0\u6d4b\u4efb\u52a1")
\n return<\/p>\n
file_path, _ = QFileDialog.getOpenFileName(
\n self, "\u9009\u62e9\u89c6\u9891", "", "\u89c6\u9891\u6587\u4ef6 (*.mp4 *.avi *.mov)")<\/p>\n
if file_path:
\n self.clear_results()
\n self.is_video_running = True<\/p>\n
# \u521d\u59cb\u5316\u89c6\u9891\u5199\u5165\u5668
\n cap = cv2.VideoCapture(file_path)
\n frame_width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
\n frame_height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
\n fps = cap.get(cv2.CAP_PROP_FPS)
\n cap.release()<\/p>\n
# \u521b\u5efa\u4fdd\u5b58\u8def\u5f84
\n save_dir = "results"
\n os.makedirs(save_dir, exist_ok=True)
\n timestamp = time.strftime("%Y%m%d_%H%M%S")
\n save_path = os.path.join(save_dir, f"result_{timestamp}.mp4")<\/p>\n
fourcc = cv2.VideoWriter_fourcc(*'mp4v')
\n self.video_writer = cv2.VideoWriter(save_path, fourcc, fps, (frame_width, frame_height))<\/p>\n
# \u521b\u5efa\u68c0\u6d4b\u7ebf\u7a0b
\n conf = self.confidence_spinbox.value()
\n iou = self.iou_spinbox.value()
\n self.detection_thread = DetectionThread(self.model, file_path, conf, iou)
\n self.detection_thread.frame_received.connect(self.on_frame_received)
\n self.detection_thread.finished_signal.connect(self.on_detection_finished)
\n self.detection_thread.start()<\/p>\n
self.update_status(f"\u6b63\u5728\u68c0\u6d4b\u89c6\u9891: {os.path.basename(file_path)}")<\/p>\n
def detect_camera(self):
\n if self.detection_thread and self.detection_thread.isRunning():
\n QMessageBox.warning(self, "\u8b66\u544a", "\u8bf7\u5148\u505c\u6b62\u5f53\u524d\u68c0\u6d4b\u4efb\u52a1")
\n return<\/p>\n
self.clear_results()
\n self.is_camera_running = True<\/p>\n
# \u521b\u5efa\u68c0\u6d4b\u7ebf\u7a0b (\u9ed8\u8ba4\u4f7f\u7528\u6444\u50cf\u59340)
\n conf = self.confidence_spinbox.value()
\n iou = self.iou_spinbox.value()
\n self.detection_thread = DetectionThread(self.model, 0, conf, iou)
\n self.detection_thread.frame_received.connect(self.on_frame_received)
\n self.detection_thread.finished_signal.connect(self.on_detection_finished)
\n self.detection_thread.start()<\/p>\n
self.update_status("\u6b63\u5728\u4ece\u6444\u50cf\u5934\u68c0\u6d4b…") <\/p>\n
🔐\u767b\u5f55\u6ce8\u518c\u9a8c\u8bc1<\/h4>\n
\u5bf9\u5e94\u6587\u4ef6：LoginWindow.py<\/p>\n
# \u8d26\u6237\u9a8c\u8bc1\u6838\u5fc3\u903b\u8f91
\ndef handle_login(self):
\n username = self.username_input.text().strip()
\n password = self.password_input.text().strip()<\/p>\n
if not username or not password:
\n QMessageBox.warning(self, "\u8b66\u544a", "\u7528\u6237\u540d\u548c\u5bc6\u7801\u4e0d\u80fd\u4e3a\u7a7a！")
\n return<\/p>\n
if username in self.accounts and self.accounts[username] == password:
\n self.accept() # \u9a8c\u8bc1\u901a\u8fc7
\n else:
\n QMessageBox.warning(self, "\u9519\u8bef", "\u7528\u6237\u540d\u6216\u5bc6\u7801\u9519\u8bef！")<\/p>\n
# \u5bc6\u7801\u5f3a\u5ea6\u68c0\u67e5（\u6ce8\u518c\u65f6）
\ndef handle_register(self):
\n if len(password) < 6: # \u5bc6\u7801\u957f\u5ea6\u22656\u4f4d
\n QMessageBox.warning(self, "\u8b66\u544a", "\u5bc6\u7801\u957f\u5ea6\u81f3\u5c11\u4e3a6\u4f4d！") <\/p>\n
🎯\u00a0\u591a\u91cd\u68c0\u6d4b\u6a21\u5f0f<\/h4>\n
\u5bf9\u5e94\u6587\u4ef6：main.py<\/p>\n
\u56fe\u7247\u68c0\u6d4b<\/p>\n
def detect_image(self):
\n file_path, _ = QFileDialog.getOpenFileName(
\n self, "\u9009\u62e9\u56fe\u7247", "", "\u56fe\u7247\u6587\u4ef6 (*.jpg *.jpeg *.png *.bmp)")
\n if file_path:
\n self.detection_thread = DetectionThread(self.model, file_path, conf, iou)
\n self.detection_thread.start() # \u542f\u52a8\u68c0\u6d4b\u7ebf\u7a0b <\/p>\n
\u89c6\u9891\u68c0\u6d4b<\/p>\n
def detect_video(self):
\n file_path, _ = QFileDialog.getOpenFileName(
\n self, "\u9009\u62e9\u89c6\u9891", "", "\u89c6\u9891\u6587\u4ef6 (*.mp4 *.avi *.mov)")
\n if file_path:
\n self.video_writer = cv2.VideoWriter() # \u521d\u59cb\u5316\u89c6\u9891\u5199\u5165\u5668
\n self.detection_thread = DetectionThread(self.model, file_path, conf, iou) <\/p>\n
\u5b9e\u65f6\u6444\u50cf\u5934<\/p>\n
def detect_camera(self):
\n self.detection_thread = DetectionThread(self.model, 0, conf, iou) # \u6444\u50cf\u5934\u8bbe\u5907\u53f70
\n self.detection_thread.start() <\/p>\n
🖼\ufe0f\u00a0\u6c89\u6d78\u5f0f\u53ef\u89c6\u5316<\/h4>\n
\u5bf9\u5e94\u6587\u4ef6：UiMain.py<\/p>\n
\u53cc\u753b\u9762\u663e\u793a<\/p>\n
def display_image(self, label, image):
\n q_img = QImage(image.data, w, h, bytes_per_line, QImage.Format_RGB888)
\n pixmap = QPixmap.fromImage(q_img)
\n label.setPixmap(pixmap.scaled(label.size(), Qt.KeepAspectRatio)) # \u81ea\u9002\u5e94\u7f29\u653e <\/p>\n
\u7ed3\u679c\u8868\u683c<\/p>\n
def add_detection_result(self, class_name, confidence, x, y):
\n self.results_table.insertRow(row)
\n items = [
\n QTableWidgetItem(class_name), # \u7c7b\u522b\u5217
\n QTableWidgetItem(f"{confidence:.2f}"), # \u7f6e\u4fe1\u5ea6
\n QTableWidgetItem(f"{x:.1f}"), # X\u5750\u6807
\n QTableWidgetItem(f"{y:.1f}") # Y\u5750\u6807
\n ] <\/p>\n
\u2699\ufe0f\u00a0\u53c2\u6570\u914d\u7f6e\u7cfb\u7edf<\/h4>\n
\u5bf9\u5e94\u6587\u4ef6：UiMain.py<\/p>\n
\u53cc\u9608\u503c\u8054\u52a8\u63a7\u5236<\/p>\n
# \u7f6e\u4fe1\u5ea6\u9608\u503c\u540c\u6b65
\ndef update_confidence(self, value):
\n confidence = value \/ 100.0
\n self.confidence_spinbox.setValue(confidence) # \u6ed1\u5757\u2192\u6570\u503c\u6846
\n self.confidence_label.setText(f"\u7f6e\u4fe1\u5ea6\u9608\u503c: {confidence:.2f}")<\/p>\n
# IoU\u9608\u503c\u540c\u6b65
\ndef update_iou(self, value):
\n iou = value \/ 100.0
\n self.iou_spinbox.setValue(iou) <\/p>\n
\u2728\u00a0UI\u7f8e\u5b66\u8bbe\u8ba1<\/h4>\n
\u5bf9\u5e94\u6587\u4ef6：UiMain.py<\/p>\n
\u79d1\u5e7b\u98ce\u683c\u6309\u94ae<\/p>\n
def create_button(self, text, color):
\n return f"""
\n QPushButton {{
\n border: 1px solid {color};
\n color: {color};
\n border-radius: 6px;
\n }}
\n QPushButton:hover {{
\n background-color: {self.lighten_color(color, 10)};
\n box-shadow: 0 0 10px {color}; # \u60ac\u505c\u53d1\u5149\u6548\u679c
\n }}
\n """ <\/p>\n
\u52a8\u6001\u72b6\u6001\u680f<\/p>\n
def update_status(self, message):
\n self.status_bar.showMessage(
\n f"\u72b6\u6001: {message} | \u6700\u540e\u66f4\u65b0: {time.strftime('%H:%M:%S')}" # \u5b9e\u65f6\u65f6\u95f4\u6233
\n ) <\/p>\n
🔄\u00a0\u667a\u80fd\u5de5\u4f5c\u6d41<\/h4>\n
\u5bf9\u5e94\u6587\u4ef6：main.py<\/p>\n
\u7ebf\u7a0b\u7ba1\u7406<\/p>\n<\/p>\n
class DetectionThread(QThread):
\n frame_received = pyqtSignal(np.ndarray, np.ndarray, list) # \u4fe1\u53f7\u91cf\u901a\u4fe1<\/p>\n
def run(self):
\n while self.running: # \u591a\u7ebf\u7a0b\u68c0\u6d4b\u5faa\u73af
\n results = self.model(frame, conf=self.conf, iou=self.iou)
\n self.frame_received.emit(original_frame, result_frame, detections) <\/p>\n
\u4e03\u3001\u9879\u76ee\u6e90\u7801(\u89c6\u9891\u7b80\u4ecb)<\/h2>\n<\/p>\n
![\"\"](\"2026-01-313xy3fi1fchx.png\")
<\/p>\n<\/p>\n
![\"\"](\"2026-01-31em2d0rp4yvi.jpg\")
<\/p>\n<\/p>\n
\u6f14\u793a\u4e0e\u4ecb\u7ecd\u89c6\u9891：<\/p>\n
\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60YOLOv12\u7684\u5b66\u751f\u8bfe\u5802\u884c\u4e3a\u8bc6\u522b\u68c0\u6d4b\u7cfb\u7edf（YOLOv12+YOLO\u6570\u636e\u96c6+UI\u754c\u9762+\u767b\u5f55\u6ce8\u518c\u754c\u9762+Python\u9879\u76ee\u6e90\u7801+\u6a21\u578b）_\u54d4\u54e9\u54d4\u54e9_bilibili<\/span><\/p>\n\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60YOLOv12\u7684\u5b66\u751f\u8bfe\u5802\u884c\u4e3a\u8bc6\u522b\u68c0\u6d4b\u7cfb\u7edf（YOLOv12+YOLO\u6570\u636e\u96c6+UI\u754c\u9762+\u767b\u5f55\u6ce8\u518c\u754c\u9762+Python\u9879\u76ee\u6e90\u7801+\u6a21\u578b）<\/p><\/p>\n","protected":false},"excerpt":{"rendered":"
\u4e00\u3001\u9879\u76ee\u4ecb\u7ecd \u672c\u6587\u8bbe\u8ba1\u5e76\u5b9e\u73b0\u4e86\u4e00\u79cd\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60YOLOv12\u7684\u5b66\u751f\u8bfe\u5802\u884c\u4e3a\u68c0\u6d4b\u7cfb\u7edf，\u65e8\u5728\u5b9e\u65f6\u8bc6\u522b\u8bfe\u5802\u4e2d\u7684\u5b66\u751f\u884c\u4e3a，\u63d0\u5347\u6559\u5b66\u7ba1\u7406\u4e0e\u8bfe\u5802\u4e92\u52a8\u6548\u7387\u3002\u7cfb\u7edf\u652f\u63016\u7c7b\u884c\u4e3a\u68c0\u6d4b，\u5305\u62ec\u4e3e\u624b（hand-raising）\u3001\u9605\u8bfb（reading）\u3001\u4e66\u5199（writing）\u3001\u4f7f\u7528\u624b\u673a（using phone）\u3001\u4f4e\u5934（bowing the<\/p>\n","protected":false},"author":2,"featured_media":69074,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[81,780,156,50,3829,86,523],"topic":[],"class_list":["post-69094","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-python","tag-ui","tag-yolo","tag-50","tag-3829","tag-86","tag-523"],"yoast_head":"\n
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\u63d0\u4f9b\u7528\u6237\u767b\u5f55\u548c\u6ce8\u518c\u529f\u80fd<\/p>\n<\/li>\n
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2.2 \u68c0\u6d4b\u529f\u80fd<\/h4>\n\n- \n
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- \n
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- \n
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- \n
\u68c0\u6d4b\u7ed3\u679c\u4fdd\u5b58\u5230"results"\u76ee\u5f55<\/p>\n<\/li>\n<\/ul>\n
2.3 \u68c0\u6d4b\u7ed3\u679c\u663e\u793a<\/h4>\n\n- \n
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- \n
\u68c0\u6d4b\u7ed3\u679c\u8868\u683c\u5c55\u793a，\u5305\u542b：<\/p>\n
\n- \n
\u68c0\u6d4b\u5230\u7684\u7c7b\u522b<\/p>\n<\/li>\n
- \n
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- \n
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2.4 \u53c2\u6570\u914d\u7f6e<\/h4>\n\n- \n
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- \n
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2.5 \u5176\u4ed6\u529f\u80fd<\/h4>\n\n- \n
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- \n
\u89c6\u9891\u68c0\u6d4b\u65f6\u81ea\u52a8\u4fdd\u5b58\u7ed3\u679c\u89c6\u9891<\/p>\n<\/li>\n
- \n
\u72b6\u6001\u680f\u663e\u793a\u7cfb\u7edf\u72b6\u6001\u548c\u6700\u540e\u66f4\u65b0\u65f6\u95f4<\/p>\n<\/li>\n
- \n
\u65e0\u8fb9\u6846\u7a97\u53e3\u8bbe\u8ba1，\u53ef\u62d6\u52a8\u548c\u8c03\u6574\u5927\u5c0f<\/p>\n<\/li>\n<\/ul>\n
3. \u6280\u672f\u7279\u70b9<\/h3>\n\n- \n
\u91c7\u7528\u591a\u7ebf\u7a0b\u5904\u7406\u68c0\u6d4b\u4efb\u52a1，\u907f\u514d\u754c\u9762\u5361\u987f<\/p>\n<\/li>\n
- \n
\u7cbe\u7f8e\u7684UI\u8bbe\u8ba1，\u5177\u6709\u79d1\u6280\u611f\u7684\u89c6\u89c9\u6548\u679c：<\/p>\n
\n- \n
\u53d1\u5149\u8fb9\u6846\u548c\u6309\u94ae<\/p>\n<\/li>\n
- \n
\u60ac\u505c\u548c\u6309\u4e0b\u72b6\u6001\u6548\u679c<\/p>\n<\/li>\n
- \n
\u81ea\u5b9a\u4e49\u6ed1\u5757\u3001\u8868\u683c\u548c\u4e0b\u62c9\u6846\u6837\u5f0f<\/p>\n<\/li>\n<\/ul>\n<\/li>\n
- \n
\u68c0\u6d4b\u7ed3\u679c\u4fdd\u5b58\u673a\u5236<\/p>\n<\/li>\n
- \n
\u54cd\u5e94\u5f0f\u5e03\u5c40，\u9002\u5e94\u4e0d\u540c\u7a97\u53e3\u5927\u5c0f<\/p>\n<\/li>\n<\/ul>\n
4. \u7cfb\u7edf\u6d41\u7a0b<\/h3>\n
- \n
\u7528\u6237\u767b\u5f55\/\u6ce8\u518c<\/p>\n<\/li>\n
- \n
\u9009\u62e9\u68c0\u6d4b\u6a21\u5f0f(\u56fe\u7247\/\u89c6\u9891\/\u6444\u50cf\u5934)<\/p>\n<\/li>\n
- \n
\u8c03\u6574\u68c0\u6d4b\u53c2\u6570(\u53ef\u9009)<\/p>\n<\/li>\n
- \n
\u5f00\u59cb\u68c0\u6d4b\u5e76\u67e5\u770b\u7ed3\u679c<\/p>\n<\/li>\n
- \n
\u53ef\u9009\u62e9\u4fdd\u5b58\u68c0\u6d4b\u7ed3\u679c<\/p>\n<\/li>\n
- \n
\u505c\u6b62\u68c0\u6d4b\u6216\u5207\u6362\u5176\u4ed6\u6a21\u5f0f<\/p>\n<\/li>\n<\/p>\n
\u4e09\u3001\u6570\u636e\u96c6\u4ecb\u7ecd<\/h3>\n<\/p>\n
\u672c\u7cfb\u7edf\u91c7\u7528YOLO\u683c\u5f0f\u6807\u6ce8\u7684\u5b66\u751f\u8bfe\u5802\u884c\u4e3a\u6570\u636e\u96c6，\u5171\u5305\u542b\u00a06 \u7c7b\u884c\u4e3a，\u7528\u4e8e\u8bad\u7ec3\u3001\u9a8c\u8bc1\u548c\u6d4b\u8bd5\u57fa\u4e8e\u00a0YOLOv12\u00a0\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u3002\u6570\u636e\u96c6\u7ecf\u8fc7\u4e25\u683c\u7b5b\u9009\u548c\u6807\u6ce8，\u786e\u4fdd\u6a21\u578b\u80fd\u591f\u51c6\u786e\u8bc6\u522b\u8bfe\u5802\u73af\u5883\u4e2d\u7684\u5b66\u751f\u884c\u4e3a\u3002<\/p>\n
1. \u6570\u636e\u96c6\u7c7b\u522b<\/h5>\n
\u6570\u636e\u96c6\u4e2d\u5305\u542b\u4ee5\u4e0b\u00a06 \u79cd\u8bfe\u5802\u884c\u4e3a：<\/p>\n
- \n
hand-raising（\u4e3e\u624b）<\/p>\n<\/li>\n
- \n
reading（\u9605\u8bfb）<\/p>\n<\/li>\n
- \n
writing（\u4e66\u5199）<\/p>\n<\/li>\n
- \n
using phone（\u4f7f\u7528\u624b\u673a）<\/p>\n<\/li>\n
- \n
bowing the head（\u4f4e\u5934）<\/p>\n<\/li>\n
- \n
leaning over the table（\u8db4\u684c\u5b50）<\/p>\n<\/li>\n
2. \u6570\u636e\u96c6\u5212\u5206<\/h5>\n
\u6570\u636e\u96c6\u6309\u7167\u00a0\u8bad\u7ec3\u96c6\u3001\u9a8c\u8bc1\u96c6\u3001\u6d4b\u8bd5\u96c6\u00a0\u8fdb\u884c\u5212\u5206，\u786e\u4fdd\u6a21\u578b\u8bad\u7ec3\u548c\u8bc4\u4f30\u7684\u79d1\u5b66\u6027：<\/p>\n
\n- \n
\u8bad\u7ec3\u96c6（Train）：1,422 \u5f20\u56fe\u50cf（\u7528\u4e8e\u6a21\u578b\u8bad\u7ec3）<\/p>\n<\/li>\n
- \n
\u9a8c\u8bc1\u96c6（Validation）：203 \u5f20\u56fe\u50cf（\u7528\u4e8e\u8d85\u53c2\u6570\u8c03\u4f18）<\/p>\n<\/li>\n
- \n
\u6d4b\u8bd5\u96c6（Test）：407 \u5f20\u56fe\u50cf（\u7528\u4e8e\u6700\u7ec8\u6a21\u578b\u8bc4\u4f30）<\/p>\n<\/li>\n<\/ul>\n
\u6570\u636e\u96c6\u914d\u7f6e\u6587\u4ef6<\/h4>\n
\u6570\u636e\u96c6\u91c7\u7528\u6807\u51c6\u5316YOLO\u683c\u5f0f\u7ec4\u7ec7：<\/p>\n
train: F:\\\\\u5b66\u751f\u8bfe\u5802\u884c\u4e3a\u68c0\u6d4b\u6570\u636e\u96c6\/images\/train
\nval: F:\\\\\u5b66\u751f\u8bfe\u5802\u884c\u4e3a\u68c0\u6d4b\u6570\u636e\u96c6\/images\/val
\ntest: F:\\\\\u5b66\u751f\u8bfe\u5802\u884c\u4e3a\u68c0\u6d4b\u6570\u636e\u96c6\/images\/test<\/p>\n
##\/datasets\/dataset\/images\/test
\n# number of classes
\nnc: 6<\/p>\n
# class names
\nnames: [ 'hand-raising', 'reading', 'writing','using phone', 'bowing the head', 'leaning over the table'] <\/p>\n
<\/p>\n<\/p>\n<\/p>\n
\u56db\u3001\u9879\u76ee\u73af\u5883\u914d\u7f6e<\/h3>\n\u521b\u5efa\u865a\u62df\u73af\u5883<\/h4>\n
\u9996\u5148\u65b0\u5efa\u4e00\u4e2aAnaconda\u73af\u5883，\u6bcf\u4e2a\u9879\u76ee\u7528\u4e0d\u540c\u7684\u73af\u5883，\u8fd9\u6837\u9879\u76ee\u4e2d\u6240\u7528\u7684\u4f9d\u8d56\u5305\u4e92\u4e0d\u5e72\u6270\u3002<\/p>\n<\/p>\n
\u7ec8\u7aef\u8f93\u5165<\/p>\n
conda create -n yolov12 python==3.9<\/p>\n
<\/p>\n<\/p>\n
\u6fc0\u6d3b\u865a\u62df\u73af\u5883<\/p>\n
conda activate yolov12 <\/p>\n<\/p>\n
\u5b89\u88c5cpu\u7248\u672cpytorch<\/p>\n
pip install torch torchvision torchaudio <\/p>\n
<\/p>\n<\/p>\n
\u5b89\u88c5\u6240\u9700\u8981\u5e93<\/h4>\n
pip install -r requirements.txt<\/p>\n<\/p>\n
pycharm\u4e2d\u914d\u7f6eanaconda<\/p>\n<\/p>\n
<\/p>\n<\/p>\n
\u4e94\u3001\u6a21\u578b\u8bad\u7ec3<\/h3>\n\u8bad\u7ec3\u4ee3\u7801<\/h4>\n
from ultralytics import YOLO<\/p>\n
model_path = 'yolo12s.pt'
\ndata_path = 'data.yaml'<\/p>\n
if __name__ == '__main__':
\n model = YOLO(model_path)
\n results = model.train(data=data_path,
\n epochs=100,
\n batch=8,
\n device='0',
\n workers=0,
\n project='runs',
\n name='exp',
\n )
\n\u6839\u636e\u5b9e\u9645\u60c5\u51b5\u66f4\u6362\u6a21\u578b
\n# yolov12n.yaml (nano)：\u8f7b\u91cf\u5316\u6a21\u578b，\u9002\u5408\u5d4c\u5165\u5f0f\u8bbe\u5907，\u901f\u5ea6\u5feb\u4f46\u7cbe\u5ea6\u7565\u4f4e\u3002
\n# yolov12s.yaml (small)：\u5c0f\u6a21\u578b，\u9002\u5408\u5b9e\u65f6\u4efb\u52a1\u3002
\n# yolov12m.yaml (medium)：\u4e2d\u7b49\u5927\u5c0f\u6a21\u578b，\u517c\u987e\u901f\u5ea6\u548c\u7cbe\u5ea6\u3002
\n# yolov12b.yaml (base)：\u57fa\u672c\u7248\u6a21\u578b，\u9002\u5408\u5927\u90e8\u5206\u5e94\u7528\u573a\u666f\u3002
\n# yolov12l.yaml (large)：\u5927\u578b\u6a21\u578b，\u9002\u5408\u5bf9\u7cbe\u5ea6\u8981\u6c42\u9ad8\u7684\u4efb\u52a1\u3002 <\/p>\n
\n- –batch 8：\u6bcf\u6279\u6b218\u5f20\u56fe\u50cf\u3002<\/li>\n
- –epochs 100：\u8bad\u7ec3100\u8f6e\u3002<\/li>\n
- –datasets\/data.yaml：\u6570\u636e\u96c6\u914d\u7f6e\u6587\u4ef6\u3002<\/li>\n
- –weights yolov12s.pt：\u521d\u59cb\u5316\u6a21\u578b\u6743\u91cd，yolov12s.pt \u662f\u9884\u8bad\u7ec3\u7684\u8f7b\u91cf\u7ea7YOLO\u6a21\u578b\u3002<\/li>\n<\/ul>\n
\u8bad\u7ec3\u7ed3\u679c<\/h4>\n
<\/p>\n<\/p>\n
<\/p>\n
<\/p>\n<\/p>\n
<\/p>\n<\/p>\n
<\/p>\n
<\/p>\n
<\/p>\n
<\/p>\n<\/p>\n
\u516d\u3001\u6838\u5fc3\u4ee3\u7801<\/h3>\n
<\/p>\n
import sys<\/p>\n
import cv2
\nimport numpy as np
\nfrom PyQt5.QtWidgets import QApplication, QMessageBox, QFileDialog
\nfrom PyQt5.QtCore import QThread, pyqtSignal
\nfrom ultralytics import YOLO
\nfrom UiMain import UiMainWindow
\nimport time
\nimport os
\nfrom PyQt5.QtWidgets import QDialog
\nfrom LoginWindow import LoginWindow<\/p>\n
class DetectionThread(QThread):
\n frame_received = pyqtSignal(np.ndarray, np.ndarray, list) # \u539f\u59cb\u5e27, \u68c0\u6d4b\u5e27, \u68c0\u6d4b\u7ed3\u679c
\n finished_signal = pyqtSignal() # \u7ebf\u7a0b\u5b8c\u6210\u4fe1\u53f7<\/p>\n
def __init__(self, model, source, conf, iou, parent=None):
\n super().__init__(parent)
\n self.model = model
\n self.source = source
\n self.conf = conf
\n self.iou = iou
\n self.running = True<\/p>\n
def run(self):
\n try:
\n if isinstance(self.source, int) or self.source.endswith(('.mp4', '.avi', '.mov')): # \u89c6\u9891\u6216\u6444\u50cf\u5934
\n cap = cv2.VideoCapture(self.source)
\n while self.running and cap.isOpened():
\n ret, frame = cap.read()
\n if not ret:
\n break<\/p>\n
# \u4fdd\u5b58\u539f\u59cb\u5e27
\n original_frame = frame.copy()<\/p>\n
# \u68c0\u6d4b
\n results = self.model(frame, conf=self.conf, iou=self.iou)
\n annotated_frame = results[0].plot()<\/p>\n
# \u63d0\u53d6\u68c0\u6d4b\u7ed3\u679c
\n detections = []
\n for result in results:
\n for box in result.boxes:
\n class_id = int(box.cls)
\n class_name = self.model.names[class_id]
\n confidence = float(box.conf)
\n x, y, w, h = box.xywh[0].tolist()
\n detections.append((class_name, confidence, x, y))<\/p>\n
# \u53d1\u9001\u4fe1\u53f7
\n self.frame_received.emit(
\n cv2.cvtColor(original_frame, cv2.COLOR_BGR2RGB),
\n cv2.cvtColor(annotated_frame, cv2.COLOR_BGR2RGB),
\n detections
\n )<\/p>\n
# \u63a7\u5236\u5e27\u7387
\n time.sleep(0.03) # \u7ea630fps<\/p>\n
cap.release()
\n else: # \u56fe\u7247
\n frame = cv2.imread(self.source)
\n if frame is not None:
\n original_frame = frame.copy()
\n results = self.model(frame, conf=self.conf, iou=self.iou)
\n annotated_frame = results[0].plot()<\/p>\n
# \u63d0\u53d6\u68c0\u6d4b\u7ed3\u679c
\n detections = []
\n for result in results:
\n for box in result.boxes:
\n class_id = int(box.cls)
\n class_name = self.model.names[class_id]
\n confidence = float(box.conf)
\n x, y, w, h = box.xywh[0].tolist()
\n detections.append((class_name, confidence, x, y))<\/p>\n
self.frame_received.emit(
\n cv2.cvtColor(original_frame, cv2.COLOR_BGR2RGB),
\n cv2.cvtColor(annotated_frame, cv2.COLOR_BGR2RGB),
\n detections
\n )<\/p>\n
except Exception as e:
\n print(f"Detection error: {e}")
\n finally:
\n self.finished_signal.emit()<\/p>\n
def stop(self):
\n self.running = False<\/p>\n
class MainWindow(UiMainWindow):
\n def __init__(self):
\n super().__init__()<\/p>\n
# \u521d\u59cb\u5316\u6a21\u578b
\n self.model = None
\n self.detection_thread = None
\n self.current_image = None
\n self.current_result = None
\n self.video_writer = None
\n self.is_camera_running = False
\n self.is_video_running = False
\n self.last_detection_result = None # \u65b0\u589e：\u4fdd\u5b58\u6700\u540e\u4e00\u6b21\u68c0\u6d4b\u7ed3\u679c<\/p>\n
# \u8fde\u63a5\u6309\u94ae\u4fe1\u53f7
\n self.image_btn.clicked.connect(self.detect_image)
\n self.video_btn.clicked.connect(self.detect_video)
\n self.camera_btn.clicked.connect(self.detect_camera)
\n self.stop_btn.clicked.connect(self.stop_detection)
\n self.save_btn.clicked.connect(self.save_result)<\/p>\n
# \u521d\u59cb\u5316\u6a21\u578b
\n self.load_model()<\/p>\n
def load_model(self):
\n try:
\n model_name = self.model_combo.currentText()
\n self.model = YOLO(f"{model_name}.pt") # \u81ea\u52a8\u4e0b\u8f7d\u6216\u52a0\u8f7d\u672c\u5730\u6a21\u578b
\n self.update_status(f"\u6a21\u578b {model_name} \u52a0\u8f7d\u6210\u529f")
\n except Exception as e:
\n QMessageBox.critical(self, "\u9519\u8bef", f"\u6a21\u578b\u52a0\u8f7d\u5931\u8d25: {str(e)}")
\n self.update_status("\u6a21\u578b\u52a0\u8f7d\u5931\u8d25")<\/p>\n
def detect_image(self):
\n if self.detection_thread and self.detection_thread.isRunning():
\n QMessageBox.warning(self, "\u8b66\u544a", "\u8bf7\u5148\u505c\u6b62\u5f53\u524d\u68c0\u6d4b\u4efb\u52a1")
\n return<\/p>\n
file_path, _ = QFileDialog.getOpenFileName(
\n self, "\u9009\u62e9\u56fe\u7247", "", "\u56fe\u7247\u6587\u4ef6 (*.jpg *.jpeg *.png *.bmp)")<\/p>\n
if file_path:
\n self.clear_results()
\n self.current_image = cv2.imread(file_path)
\n self.current_image = cv2.cvtColor(self.current_image, cv2.COLOR_BGR2RGB)
\n self.display_image(self.original_image_label, self.current_image)<\/p>\n
# \u521b\u5efa\u68c0\u6d4b\u7ebf\u7a0b
\n conf = self.confidence_spinbox.value()
\n iou = self.iou_spinbox.value()
\n self.detection_thread = DetectionThread(self.model, file_path, conf, iou)
\n self.detection_thread.frame_received.connect(self.on_frame_received)
\n self.detection_thread.finished_signal.connect(self.on_detection_finished)
\n self.detection_thread.start()<\/p>\n
self.update_status(f"\u6b63\u5728\u68c0\u6d4b\u56fe\u7247: {os.path.basename(file_path)}")<\/p>\n
def detect_video(self):
\n if self.detection_thread and self.detection_thread.isRunning():
\n QMessageBox.warning(self, "\u8b66\u544a", "\u8bf7\u5148\u505c\u6b62\u5f53\u524d\u68c0\u6d4b\u4efb\u52a1")
\n return<\/p>\n
file_path, _ = QFileDialog.getOpenFileName(
\n self, "\u9009\u62e9\u89c6\u9891", "", "\u89c6\u9891\u6587\u4ef6 (*.mp4 *.avi *.mov)")<\/p>\n
if file_path:
\n self.clear_results()
\n self.is_video_running = True<\/p>\n
# \u521d\u59cb\u5316\u89c6\u9891\u5199\u5165\u5668
\n cap = cv2.VideoCapture(file_path)
\n frame_width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
\n frame_height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
\n fps = cap.get(cv2.CAP_PROP_FPS)
\n cap.release()<\/p>\n
# \u521b\u5efa\u4fdd\u5b58\u8def\u5f84
\n save_dir = "results"
\n os.makedirs(save_dir, exist_ok=True)
\n timestamp = time.strftime("%Y%m%d_%H%M%S")
\n save_path = os.path.join(save_dir, f"result_{timestamp}.mp4")<\/p>\n
fourcc = cv2.VideoWriter_fourcc(*'mp4v')
\n self.video_writer = cv2.VideoWriter(save_path, fourcc, fps, (frame_width, frame_height))<\/p>\n
# \u521b\u5efa\u68c0\u6d4b\u7ebf\u7a0b
\n conf = self.confidence_spinbox.value()
\n iou = self.iou_spinbox.value()
\n self.detection_thread = DetectionThread(self.model, file_path, conf, iou)
\n self.detection_thread.frame_received.connect(self.on_frame_received)
\n self.detection_thread.finished_signal.connect(self.on_detection_finished)
\n self.detection_thread.start()<\/p>\n
self.update_status(f"\u6b63\u5728\u68c0\u6d4b\u89c6\u9891: {os.path.basename(file_path)}")<\/p>\n
def detect_camera(self):
\n if self.detection_thread and self.detection_thread.isRunning():
\n QMessageBox.warning(self, "\u8b66\u544a", "\u8bf7\u5148\u505c\u6b62\u5f53\u524d\u68c0\u6d4b\u4efb\u52a1")
\n return<\/p>\n
self.clear_results()
\n self.is_camera_running = True<\/p>\n
# \u521b\u5efa\u68c0\u6d4b\u7ebf\u7a0b (\u9ed8\u8ba4\u4f7f\u7528\u6444\u50cf\u59340)
\n conf = self.confidence_spinbox.value()
\n iou = self.iou_spinbox.value()
\n self.detection_thread = DetectionThread(self.model, 0, conf, iou)
\n self.detection_thread.frame_received.connect(self.on_frame_received)
\n self.detection_thread.finished_signal.connect(self.on_detection_finished)
\n self.detection_thread.start()<\/p>\n
self.update_status("\u6b63\u5728\u4ece\u6444\u50cf\u5934\u68c0\u6d4b…") <\/p>\n
🔐\u767b\u5f55\u6ce8\u518c\u9a8c\u8bc1<\/h4>\n
\u5bf9\u5e94\u6587\u4ef6：LoginWindow.py<\/p>\n
# \u8d26\u6237\u9a8c\u8bc1\u6838\u5fc3\u903b\u8f91
\ndef handle_login(self):
\n username = self.username_input.text().strip()
\n password = self.password_input.text().strip()<\/p>\n
if not username or not password:
\n QMessageBox.warning(self, "\u8b66\u544a", "\u7528\u6237\u540d\u548c\u5bc6\u7801\u4e0d\u80fd\u4e3a\u7a7a！")
\n return<\/p>\n
if username in self.accounts and self.accounts[username] == password:
\n self.accept() # \u9a8c\u8bc1\u901a\u8fc7
\n else:
\n QMessageBox.warning(self, "\u9519\u8bef", "\u7528\u6237\u540d\u6216\u5bc6\u7801\u9519\u8bef！")<\/p>\n
# \u5bc6\u7801\u5f3a\u5ea6\u68c0\u67e5（\u6ce8\u518c\u65f6）
\ndef handle_register(self):
\n if len(password) < 6: # \u5bc6\u7801\u957f\u5ea6\u22656\u4f4d
\n QMessageBox.warning(self, "\u8b66\u544a", "\u5bc6\u7801\u957f\u5ea6\u81f3\u5c11\u4e3a6\u4f4d！") <\/p>\n
🎯\u00a0\u591a\u91cd\u68c0\u6d4b\u6a21\u5f0f<\/h4>\n
\u5bf9\u5e94\u6587\u4ef6：main.py<\/p>\n
\u56fe\u7247\u68c0\u6d4b<\/p>\n
def detect_image(self):
\n file_path, _ = QFileDialog.getOpenFileName(
\n self, "\u9009\u62e9\u56fe\u7247", "", "\u56fe\u7247\u6587\u4ef6 (*.jpg *.jpeg *.png *.bmp)")
\n if file_path:
\n self.detection_thread = DetectionThread(self.model, file_path, conf, iou)
\n self.detection_thread.start() # \u542f\u52a8\u68c0\u6d4b\u7ebf\u7a0b <\/p>\n
\u89c6\u9891\u68c0\u6d4b<\/p>\n
def detect_video(self):
\n file_path, _ = QFileDialog.getOpenFileName(
\n self, "\u9009\u62e9\u89c6\u9891", "", "\u89c6\u9891\u6587\u4ef6 (*.mp4 *.avi *.mov)")
\n if file_path:
\n self.video_writer = cv2.VideoWriter() # \u521d\u59cb\u5316\u89c6\u9891\u5199\u5165\u5668
\n self.detection_thread = DetectionThread(self.model, file_path, conf, iou) <\/p>\n
\u5b9e\u65f6\u6444\u50cf\u5934<\/p>\n
def detect_camera(self):
\n self.detection_thread = DetectionThread(self.model, 0, conf, iou) # \u6444\u50cf\u5934\u8bbe\u5907\u53f70
\n self.detection_thread.start() <\/p>\n
🖼\ufe0f\u00a0\u6c89\u6d78\u5f0f\u53ef\u89c6\u5316<\/h4>\n
\u5bf9\u5e94\u6587\u4ef6：UiMain.py<\/p>\n
\u53cc\u753b\u9762\u663e\u793a<\/p>\n
def display_image(self, label, image):
\n q_img = QImage(image.data, w, h, bytes_per_line, QImage.Format_RGB888)
\n pixmap = QPixmap.fromImage(q_img)
\n label.setPixmap(pixmap.scaled(label.size(), Qt.KeepAspectRatio)) # \u81ea\u9002\u5e94\u7f29\u653e <\/p>\n
\u7ed3\u679c\u8868\u683c<\/p>\n
def add_detection_result(self, class_name, confidence, x, y):
\n self.results_table.insertRow(row)
\n items = [
\n QTableWidgetItem(class_name), # \u7c7b\u522b\u5217
\n QTableWidgetItem(f"{confidence:.2f}"), # \u7f6e\u4fe1\u5ea6
\n QTableWidgetItem(f"{x:.1f}"), # X\u5750\u6807
\n QTableWidgetItem(f"{y:.1f}") # Y\u5750\u6807
\n ] <\/p>\n
\u2699\ufe0f\u00a0\u53c2\u6570\u914d\u7f6e\u7cfb\u7edf<\/h4>\n
\u5bf9\u5e94\u6587\u4ef6：UiMain.py<\/p>\n
\u53cc\u9608\u503c\u8054\u52a8\u63a7\u5236<\/p>\n
# \u7f6e\u4fe1\u5ea6\u9608\u503c\u540c\u6b65
\ndef update_confidence(self, value):
\n confidence = value \/ 100.0
\n self.confidence_spinbox.setValue(confidence) # \u6ed1\u5757\u2192\u6570\u503c\u6846
\n self.confidence_label.setText(f"\u7f6e\u4fe1\u5ea6\u9608\u503c: {confidence:.2f}")<\/p>\n
# IoU\u9608\u503c\u540c\u6b65
\ndef update_iou(self, value):
\n iou = value \/ 100.0
\n self.iou_spinbox.setValue(iou) <\/p>\n
\u2728\u00a0UI\u7f8e\u5b66\u8bbe\u8ba1<\/h4>\n
\u5bf9\u5e94\u6587\u4ef6：UiMain.py<\/p>\n
\u79d1\u5e7b\u98ce\u683c\u6309\u94ae<\/p>\n
def create_button(self, text, color):
\n return f"""
\n QPushButton {{
\n border: 1px solid {color};
\n color: {color};
\n border-radius: 6px;
\n }}
\n QPushButton:hover {{
\n background-color: {self.lighten_color(color, 10)};
\n box-shadow: 0 0 10px {color}; # \u60ac\u505c\u53d1\u5149\u6548\u679c
\n }}
\n """ <\/p>\n
\u52a8\u6001\u72b6\u6001\u680f<\/p>\n
def update_status(self, message):
\n self.status_bar.showMessage(
\n f"\u72b6\u6001: {message} | \u6700\u540e\u66f4\u65b0: {time.strftime('%H:%M:%S')}" # \u5b9e\u65f6\u65f6\u95f4\u6233
\n ) <\/p>\n
🔄\u00a0\u667a\u80fd\u5de5\u4f5c\u6d41<\/h4>\n
\u5bf9\u5e94\u6587\u4ef6：main.py<\/p>\n
\u7ebf\u7a0b\u7ba1\u7406<\/p>\n<\/p>\n
class DetectionThread(QThread):
\n frame_received = pyqtSignal(np.ndarray, np.ndarray, list) # \u4fe1\u53f7\u91cf\u901a\u4fe1<\/p>\n
def run(self):
\n while self.running: # \u591a\u7ebf\u7a0b\u68c0\u6d4b\u5faa\u73af
\n results = self.model(frame, conf=self.conf, iou=self.iou)
\n self.frame_received.emit(original_frame, result_frame, detections) <\/p>\n
\u4e03\u3001\u9879\u76ee\u6e90\u7801(\u89c6\u9891\u7b80\u4ecb)<\/h2>\n<\/p>\n
<\/p>\n<\/p>\n
<\/p>\n<\/p>\n
\u6f14\u793a\u4e0e\u4ecb\u7ecd\u89c6\u9891：<\/p>\n
\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60YOLOv12\u7684\u5b66\u751f\u8bfe\u5802\u884c\u4e3a\u8bc6\u522b\u68c0\u6d4b\u7cfb\u7edf（YOLOv12+YOLO\u6570\u636e\u96c6+UI\u754c\u9762+\u767b\u5f55\u6ce8\u518c\u754c\u9762+Python\u9879\u76ee\u6e90\u7801+\u6a21\u578b）_\u54d4\u54e9\u54d4\u54e9_bilibili<\/span><\/p>\n\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60YOLOv12\u7684\u5b66\u751f\u8bfe\u5802\u884c\u4e3a\u8bc6\u522b\u68c0\u6d4b\u7cfb\u7edf（YOLOv12+YOLO\u6570\u636e\u96c6+UI\u754c\u9762+\u767b\u5f55\u6ce8\u518c\u754c\u9762+Python\u9879\u76ee\u6e90\u7801+\u6a21\u578b）<\/p><\/p>\n","protected":false},"excerpt":{"rendered":"
\u4e00\u3001\u9879\u76ee\u4ecb\u7ecd \u672c\u6587\u8bbe\u8ba1\u5e76\u5b9e\u73b0\u4e86\u4e00\u79cd\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60YOLOv12\u7684\u5b66\u751f\u8bfe\u5802\u884c\u4e3a\u68c0\u6d4b\u7cfb\u7edf，\u65e8\u5728\u5b9e\u65f6\u8bc6\u522b\u8bfe\u5802\u4e2d\u7684\u5b66\u751f\u884c\u4e3a，\u63d0\u5347\u6559\u5b66\u7ba1\u7406\u4e0e\u8bfe\u5802\u4e92\u52a8\u6548\u7387\u3002\u7cfb\u7edf\u652f\u63016\u7c7b\u884c\u4e3a\u68c0\u6d4b，\u5305\u62ec\u4e3e\u624b（hand-raising）\u3001\u9605\u8bfb（reading）\u3001\u4e66\u5199（writing）\u3001\u4f7f\u7528\u624b\u673a（using phone）\u3001\u4f4e\u5934（bowing the<\/p>\n","protected":false},"author":2,"featured_media":69074,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[81,780,156,50,3829,86,523],"topic":[],"class_list":["post-69094","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-python","tag-ui","tag-yolo","tag-50","tag-3829","tag-86","tag-523"],"yoast_head":"\n
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\u56fe\u7247\u68c0\u6d4b：\u652f\u6301JPG\/JPEG\/PNG\/BMP\u683c\u5f0f\u56fe\u7247\u7684\u706b\u7130\u70df\u96fe\u68c0\u6d4b<\/p>\n<\/li>\n
\u89c6\u9891\u68c0\u6d4b：\u652f\u6301MP4\/AVI\/MOV\u683c\u5f0f\u89c6\u9891\u7684\u9010\u5e27\u68c0\u6d4b<\/p>\n<\/li>\n
\u6444\u50cf\u5934\u68c0\u6d4b：\u5b9e\u65f6\u6444\u50cf\u5934\u6d41\u68c0\u6d4b(\u9ed8\u8ba4\u6444\u50cf\u59340)<\/p>\n<\/li>\n
\u68c0\u6d4b\u7ed3\u679c\u4fdd\u5b58\u5230"results"\u76ee\u5f55<\/p>\n<\/li>\n<\/ul>\n
2.3 \u68c0\u6d4b\u7ed3\u679c\u663e\u793a<\/h4>\n\n- \n
\u663e\u793a\u539f\u59cb\u56fe\u50cf\u548c\u68c0\u6d4b\u7ed3\u679c\u56fe\u50cf<\/p>\n<\/li>\n
- \n
\u68c0\u6d4b\u7ed3\u679c\u8868\u683c\u5c55\u793a，\u5305\u542b：<\/p>\n
\n- \n
\u68c0\u6d4b\u5230\u7684\u7c7b\u522b<\/p>\n<\/li>\n
- \n
\u7f6e\u4fe1\u5ea6\u5206\u6570<\/p>\n<\/li>\n
- \n
\u7269\u4f53\u4f4d\u7f6e\u5750\u6807(x,y)\u3001<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
2.4 \u53c2\u6570\u914d\u7f6e<\/h4>\n\n- \n
\u6a21\u578b\u9009\u62e9<\/p>\n<\/li>\n
- \n
\u7f6e\u4fe1\u5ea6\u9608\u503c\u8c03\u8282(0-1.0)<\/p>\n<\/li>\n
- \n
IoU(\u4ea4\u5e76\u6bd4)\u9608\u503c\u8c03\u8282(0-1.0)<\/p>\n<\/li>\n
- \n
\u5b9e\u65f6\u540c\u6b65\u6ed1\u5757\u548c\u6570\u503c\u8f93\u5165\u6846<\/p>\n<\/li>\n<\/ul>\n
2.5 \u5176\u4ed6\u529f\u80fd<\/h4>\n\n- \n
\u68c0\u6d4b\u7ed3\u679c\u4fdd\u5b58\u529f\u80fd<\/p>\n<\/li>\n
- \n
\u89c6\u9891\u68c0\u6d4b\u65f6\u81ea\u52a8\u4fdd\u5b58\u7ed3\u679c\u89c6\u9891<\/p>\n<\/li>\n
- \n
\u72b6\u6001\u680f\u663e\u793a\u7cfb\u7edf\u72b6\u6001\u548c\u6700\u540e\u66f4\u65b0\u65f6\u95f4<\/p>\n<\/li>\n
- \n
\u65e0\u8fb9\u6846\u7a97\u53e3\u8bbe\u8ba1，\u53ef\u62d6\u52a8\u548c\u8c03\u6574\u5927\u5c0f<\/p>\n<\/li>\n<\/ul>\n
3. \u6280\u672f\u7279\u70b9<\/h3>\n\n- \n
\u91c7\u7528\u591a\u7ebf\u7a0b\u5904\u7406\u68c0\u6d4b\u4efb\u52a1，\u907f\u514d\u754c\u9762\u5361\u987f<\/p>\n<\/li>\n
- \n
\u7cbe\u7f8e\u7684UI\u8bbe\u8ba1，\u5177\u6709\u79d1\u6280\u611f\u7684\u89c6\u89c9\u6548\u679c：<\/p>\n
\n- \n
\u53d1\u5149\u8fb9\u6846\u548c\u6309\u94ae<\/p>\n<\/li>\n
- \n
\u60ac\u505c\u548c\u6309\u4e0b\u72b6\u6001\u6548\u679c<\/p>\n<\/li>\n
- \n
\u81ea\u5b9a\u4e49\u6ed1\u5757\u3001\u8868\u683c\u548c\u4e0b\u62c9\u6846\u6837\u5f0f<\/p>\n<\/li>\n<\/ul>\n<\/li>\n
- \n
\u68c0\u6d4b\u7ed3\u679c\u4fdd\u5b58\u673a\u5236<\/p>\n<\/li>\n
- \n
\u54cd\u5e94\u5f0f\u5e03\u5c40，\u9002\u5e94\u4e0d\u540c\u7a97\u53e3\u5927\u5c0f<\/p>\n<\/li>\n<\/ul>\n
4. \u7cfb\u7edf\u6d41\u7a0b<\/h3>\n
- \n
\u7528\u6237\u767b\u5f55\/\u6ce8\u518c<\/p>\n<\/li>\n
- \n
\u9009\u62e9\u68c0\u6d4b\u6a21\u5f0f(\u56fe\u7247\/\u89c6\u9891\/\u6444\u50cf\u5934)<\/p>\n<\/li>\n
- \n
\u8c03\u6574\u68c0\u6d4b\u53c2\u6570(\u53ef\u9009)<\/p>\n<\/li>\n
- \n
\u5f00\u59cb\u68c0\u6d4b\u5e76\u67e5\u770b\u7ed3\u679c<\/p>\n<\/li>\n
- \n
\u53ef\u9009\u62e9\u4fdd\u5b58\u68c0\u6d4b\u7ed3\u679c<\/p>\n<\/li>\n
- \n
\u505c\u6b62\u68c0\u6d4b\u6216\u5207\u6362\u5176\u4ed6\u6a21\u5f0f<\/p>\n<\/li>\n<\/p>\n
\u4e09\u3001\u6570\u636e\u96c6\u4ecb\u7ecd<\/h3>\n<\/p>\n
\u672c\u7cfb\u7edf\u91c7\u7528YOLO\u683c\u5f0f\u6807\u6ce8\u7684\u5b66\u751f\u8bfe\u5802\u884c\u4e3a\u6570\u636e\u96c6，\u5171\u5305\u542b\u00a06 \u7c7b\u884c\u4e3a，\u7528\u4e8e\u8bad\u7ec3\u3001\u9a8c\u8bc1\u548c\u6d4b\u8bd5\u57fa\u4e8e\u00a0YOLOv12\u00a0\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u3002\u6570\u636e\u96c6\u7ecf\u8fc7\u4e25\u683c\u7b5b\u9009\u548c\u6807\u6ce8，\u786e\u4fdd\u6a21\u578b\u80fd\u591f\u51c6\u786e\u8bc6\u522b\u8bfe\u5802\u73af\u5883\u4e2d\u7684\u5b66\u751f\u884c\u4e3a\u3002<\/p>\n
1. \u6570\u636e\u96c6\u7c7b\u522b<\/h5>\n
\u6570\u636e\u96c6\u4e2d\u5305\u542b\u4ee5\u4e0b\u00a06 \u79cd\u8bfe\u5802\u884c\u4e3a：<\/p>\n
- \n
hand-raising（\u4e3e\u624b）<\/p>\n<\/li>\n
- \n
reading（\u9605\u8bfb）<\/p>\n<\/li>\n
- \n
writing（\u4e66\u5199）<\/p>\n<\/li>\n
- \n
using phone（\u4f7f\u7528\u624b\u673a）<\/p>\n<\/li>\n
- \n
bowing the head（\u4f4e\u5934）<\/p>\n<\/li>\n
- \n
leaning over the table（\u8db4\u684c\u5b50）<\/p>\n<\/li>\n
2. \u6570\u636e\u96c6\u5212\u5206<\/h5>\n
\u6570\u636e\u96c6\u6309\u7167\u00a0\u8bad\u7ec3\u96c6\u3001\u9a8c\u8bc1\u96c6\u3001\u6d4b\u8bd5\u96c6\u00a0\u8fdb\u884c\u5212\u5206，\u786e\u4fdd\u6a21\u578b\u8bad\u7ec3\u548c\u8bc4\u4f30\u7684\u79d1\u5b66\u6027：<\/p>\n
\n- \n
\u8bad\u7ec3\u96c6（Train）：1,422 \u5f20\u56fe\u50cf（\u7528\u4e8e\u6a21\u578b\u8bad\u7ec3）<\/p>\n<\/li>\n
- \n
\u9a8c\u8bc1\u96c6（Validation）：203 \u5f20\u56fe\u50cf（\u7528\u4e8e\u8d85\u53c2\u6570\u8c03\u4f18）<\/p>\n<\/li>\n
- \n
\u6d4b\u8bd5\u96c6（Test）：407 \u5f20\u56fe\u50cf（\u7528\u4e8e\u6700\u7ec8\u6a21\u578b\u8bc4\u4f30）<\/p>\n<\/li>\n<\/ul>\n
\u6570\u636e\u96c6\u914d\u7f6e\u6587\u4ef6<\/h4>\n
\u6570\u636e\u96c6\u91c7\u7528\u6807\u51c6\u5316YOLO\u683c\u5f0f\u7ec4\u7ec7：<\/p>\n
train: F:\\\\\u5b66\u751f\u8bfe\u5802\u884c\u4e3a\u68c0\u6d4b\u6570\u636e\u96c6\/images\/train
\nval: F:\\\\\u5b66\u751f\u8bfe\u5802\u884c\u4e3a\u68c0\u6d4b\u6570\u636e\u96c6\/images\/val
\ntest: F:\\\\\u5b66\u751f\u8bfe\u5802\u884c\u4e3a\u68c0\u6d4b\u6570\u636e\u96c6\/images\/test<\/p>\n
##\/datasets\/dataset\/images\/test
\n# number of classes
\nnc: 6<\/p>\n
# class names
\nnames: [ 'hand-raising', 'reading', 'writing','using phone', 'bowing the head', 'leaning over the table'] <\/p>\n
<\/p>\n<\/p>\n<\/p>\n
\u56db\u3001\u9879\u76ee\u73af\u5883\u914d\u7f6e<\/h3>\n\u521b\u5efa\u865a\u62df\u73af\u5883<\/h4>\n
\u9996\u5148\u65b0\u5efa\u4e00\u4e2aAnaconda\u73af\u5883，\u6bcf\u4e2a\u9879\u76ee\u7528\u4e0d\u540c\u7684\u73af\u5883，\u8fd9\u6837\u9879\u76ee\u4e2d\u6240\u7528\u7684\u4f9d\u8d56\u5305\u4e92\u4e0d\u5e72\u6270\u3002<\/p>\n<\/p>\n
\u7ec8\u7aef\u8f93\u5165<\/p>\n
conda create -n yolov12 python==3.9<\/p>\n
<\/p>\n<\/p>\n
\u6fc0\u6d3b\u865a\u62df\u73af\u5883<\/p>\n
conda activate yolov12 <\/p>\n<\/p>\n
\u5b89\u88c5cpu\u7248\u672cpytorch<\/p>\n
pip install torch torchvision torchaudio <\/p>\n
<\/p>\n<\/p>\n
\u5b89\u88c5\u6240\u9700\u8981\u5e93<\/h4>\n
pip install -r requirements.txt<\/p>\n<\/p>\n
pycharm\u4e2d\u914d\u7f6eanaconda<\/p>\n<\/p>\n
<\/p>\n<\/p>\n
\u4e94\u3001\u6a21\u578b\u8bad\u7ec3<\/h3>\n\u8bad\u7ec3\u4ee3\u7801<\/h4>\n
from ultralytics import YOLO<\/p>\n
model_path = 'yolo12s.pt'
\ndata_path = 'data.yaml'<\/p>\n
if __name__ == '__main__':
\n model = YOLO(model_path)
\n results = model.train(data=data_path,
\n epochs=100,
\n batch=8,
\n device='0',
\n workers=0,
\n project='runs',
\n name='exp',
\n )
\n\u6839\u636e\u5b9e\u9645\u60c5\u51b5\u66f4\u6362\u6a21\u578b
\n# yolov12n.yaml (nano)：\u8f7b\u91cf\u5316\u6a21\u578b，\u9002\u5408\u5d4c\u5165\u5f0f\u8bbe\u5907，\u901f\u5ea6\u5feb\u4f46\u7cbe\u5ea6\u7565\u4f4e\u3002
\n# yolov12s.yaml (small)：\u5c0f\u6a21\u578b，\u9002\u5408\u5b9e\u65f6\u4efb\u52a1\u3002
\n# yolov12m.yaml (medium)：\u4e2d\u7b49\u5927\u5c0f\u6a21\u578b，\u517c\u987e\u901f\u5ea6\u548c\u7cbe\u5ea6\u3002
\n# yolov12b.yaml (base)：\u57fa\u672c\u7248\u6a21\u578b，\u9002\u5408\u5927\u90e8\u5206\u5e94\u7528\u573a\u666f\u3002
\n# yolov12l.yaml (large)：\u5927\u578b\u6a21\u578b，\u9002\u5408\u5bf9\u7cbe\u5ea6\u8981\u6c42\u9ad8\u7684\u4efb\u52a1\u3002 <\/p>\n
\n- –batch 8：\u6bcf\u6279\u6b218\u5f20\u56fe\u50cf\u3002<\/li>\n
- –epochs 100：\u8bad\u7ec3100\u8f6e\u3002<\/li>\n
- –datasets\/data.yaml：\u6570\u636e\u96c6\u914d\u7f6e\u6587\u4ef6\u3002<\/li>\n
- –weights yolov12s.pt：\u521d\u59cb\u5316\u6a21\u578b\u6743\u91cd，yolov12s.pt \u662f\u9884\u8bad\u7ec3\u7684\u8f7b\u91cf\u7ea7YOLO\u6a21\u578b\u3002<\/li>\n<\/ul>\n
\u8bad\u7ec3\u7ed3\u679c<\/h4>\n
<\/p>\n<\/p>\n
<\/p>\n
<\/p>\n<\/p>\n
<\/p>\n<\/p>\n
<\/p>\n
<\/p>\n
<\/p>\n
<\/p>\n<\/p>\n
\u516d\u3001\u6838\u5fc3\u4ee3\u7801<\/h3>\n
<\/p>\n
import sys<\/p>\n
import cv2
\nimport numpy as np
\nfrom PyQt5.QtWidgets import QApplication, QMessageBox, QFileDialog
\nfrom PyQt5.QtCore import QThread, pyqtSignal
\nfrom ultralytics import YOLO
\nfrom UiMain import UiMainWindow
\nimport time
\nimport os
\nfrom PyQt5.QtWidgets import QDialog
\nfrom LoginWindow import LoginWindow<\/p>\n
class DetectionThread(QThread):
\n frame_received = pyqtSignal(np.ndarray, np.ndarray, list) # \u539f\u59cb\u5e27, \u68c0\u6d4b\u5e27, \u68c0\u6d4b\u7ed3\u679c
\n finished_signal = pyqtSignal() # \u7ebf\u7a0b\u5b8c\u6210\u4fe1\u53f7<\/p>\n
def __init__(self, model, source, conf, iou, parent=None):
\n super().__init__(parent)
\n self.model = model
\n self.source = source
\n self.conf = conf
\n self.iou = iou
\n self.running = True<\/p>\n
def run(self):
\n try:
\n if isinstance(self.source, int) or self.source.endswith(('.mp4', '.avi', '.mov')): # \u89c6\u9891\u6216\u6444\u50cf\u5934
\n cap = cv2.VideoCapture(self.source)
\n while self.running and cap.isOpened():
\n ret, frame = cap.read()
\n if not ret:
\n break<\/p>\n
# \u4fdd\u5b58\u539f\u59cb\u5e27
\n original_frame = frame.copy()<\/p>\n
# \u68c0\u6d4b
\n results = self.model(frame, conf=self.conf, iou=self.iou)
\n annotated_frame = results[0].plot()<\/p>\n
# \u63d0\u53d6\u68c0\u6d4b\u7ed3\u679c
\n detections = []
\n for result in results:
\n for box in result.boxes:
\n class_id = int(box.cls)
\n class_name = self.model.names[class_id]
\n confidence = float(box.conf)
\n x, y, w, h = box.xywh[0].tolist()
\n detections.append((class_name, confidence, x, y))<\/p>\n
# \u53d1\u9001\u4fe1\u53f7
\n self.frame_received.emit(
\n cv2.cvtColor(original_frame, cv2.COLOR_BGR2RGB),
\n cv2.cvtColor(annotated_frame, cv2.COLOR_BGR2RGB),
\n detections
\n )<\/p>\n
# \u63a7\u5236\u5e27\u7387
\n time.sleep(0.03) # \u7ea630fps<\/p>\n
cap.release()
\n else: # \u56fe\u7247
\n frame = cv2.imread(self.source)
\n if frame is not None:
\n original_frame = frame.copy()
\n results = self.model(frame, conf=self.conf, iou=self.iou)
\n annotated_frame = results[0].plot()<\/p>\n
# \u63d0\u53d6\u68c0\u6d4b\u7ed3\u679c
\n detections = []
\n for result in results:
\n for box in result.boxes:
\n class_id = int(box.cls)
\n class_name = self.model.names[class_id]
\n confidence = float(box.conf)
\n x, y, w, h = box.xywh[0].tolist()
\n detections.append((class_name, confidence, x, y))<\/p>\n
self.frame_received.emit(
\n cv2.cvtColor(original_frame, cv2.COLOR_BGR2RGB),
\n cv2.cvtColor(annotated_frame, cv2.COLOR_BGR2RGB),
\n detections
\n )<\/p>\n
except Exception as e:
\n print(f"Detection error: {e}")
\n finally:
\n self.finished_signal.emit()<\/p>\n
def stop(self):
\n self.running = False<\/p>\n
class MainWindow(UiMainWindow):
\n def __init__(self):
\n super().__init__()<\/p>\n
# \u521d\u59cb\u5316\u6a21\u578b
\n self.model = None
\n self.detection_thread = None
\n self.current_image = None
\n self.current_result = None
\n self.video_writer = None
\n self.is_camera_running = False
\n self.is_video_running = False
\n self.last_detection_result = None # \u65b0\u589e：\u4fdd\u5b58\u6700\u540e\u4e00\u6b21\u68c0\u6d4b\u7ed3\u679c<\/p>\n
# \u8fde\u63a5\u6309\u94ae\u4fe1\u53f7
\n self.image_btn.clicked.connect(self.detect_image)
\n self.video_btn.clicked.connect(self.detect_video)
\n self.camera_btn.clicked.connect(self.detect_camera)
\n self.stop_btn.clicked.connect(self.stop_detection)
\n self.save_btn.clicked.connect(self.save_result)<\/p>\n
# \u521d\u59cb\u5316\u6a21\u578b
\n self.load_model()<\/p>\n
def load_model(self):
\n try:
\n model_name = self.model_combo.currentText()
\n self.model = YOLO(f"{model_name}.pt") # \u81ea\u52a8\u4e0b\u8f7d\u6216\u52a0\u8f7d\u672c\u5730\u6a21\u578b
\n self.update_status(f"\u6a21\u578b {model_name} \u52a0\u8f7d\u6210\u529f")
\n except Exception as e:
\n QMessageBox.critical(self, "\u9519\u8bef", f"\u6a21\u578b\u52a0\u8f7d\u5931\u8d25: {str(e)}")
\n self.update_status("\u6a21\u578b\u52a0\u8f7d\u5931\u8d25")<\/p>\n
def detect_image(self):
\n if self.detection_thread and self.detection_thread.isRunning():
\n QMessageBox.warning(self, "\u8b66\u544a", "\u8bf7\u5148\u505c\u6b62\u5f53\u524d\u68c0\u6d4b\u4efb\u52a1")
\n return<\/p>\n
file_path, _ = QFileDialog.getOpenFileName(
\n self, "\u9009\u62e9\u56fe\u7247", "", "\u56fe\u7247\u6587\u4ef6 (*.jpg *.jpeg *.png *.bmp)")<\/p>\n
if file_path:
\n self.clear_results()
\n self.current_image = cv2.imread(file_path)
\n self.current_image = cv2.cvtColor(self.current_image, cv2.COLOR_BGR2RGB)
\n self.display_image(self.original_image_label, self.current_image)<\/p>\n
# \u521b\u5efa\u68c0\u6d4b\u7ebf\u7a0b
\n conf = self.confidence_spinbox.value()
\n iou = self.iou_spinbox.value()
\n self.detection_thread = DetectionThread(self.model, file_path, conf, iou)
\n self.detection_thread.frame_received.connect(self.on_frame_received)
\n self.detection_thread.finished_signal.connect(self.on_detection_finished)
\n self.detection_thread.start()<\/p>\n
self.update_status(f"\u6b63\u5728\u68c0\u6d4b\u56fe\u7247: {os.path.basename(file_path)}")<\/p>\n
def detect_video(self):
\n if self.detection_thread and self.detection_thread.isRunning():
\n QMessageBox.warning(self, "\u8b66\u544a", "\u8bf7\u5148\u505c\u6b62\u5f53\u524d\u68c0\u6d4b\u4efb\u52a1")
\n return<\/p>\n
file_path, _ = QFileDialog.getOpenFileName(
\n self, "\u9009\u62e9\u89c6\u9891", "", "\u89c6\u9891\u6587\u4ef6 (*.mp4 *.avi *.mov)")<\/p>\n
if file_path:
\n self.clear_results()
\n self.is_video_running = True<\/p>\n
# \u521d\u59cb\u5316\u89c6\u9891\u5199\u5165\u5668
\n cap = cv2.VideoCapture(file_path)
\n frame_width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
\n frame_height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
\n fps = cap.get(cv2.CAP_PROP_FPS)
\n cap.release()<\/p>\n
# \u521b\u5efa\u4fdd\u5b58\u8def\u5f84
\n save_dir = "results"
\n os.makedirs(save_dir, exist_ok=True)
\n timestamp = time.strftime("%Y%m%d_%H%M%S")
\n save_path = os.path.join(save_dir, f"result_{timestamp}.mp4")<\/p>\n
fourcc = cv2.VideoWriter_fourcc(*'mp4v')
\n self.video_writer = cv2.VideoWriter(save_path, fourcc, fps, (frame_width, frame_height))<\/p>\n
# \u521b\u5efa\u68c0\u6d4b\u7ebf\u7a0b
\n conf = self.confidence_spinbox.value()
\n iou = self.iou_spinbox.value()
\n self.detection_thread = DetectionThread(self.model, file_path, conf, iou)
\n self.detection_thread.frame_received.connect(self.on_frame_received)
\n self.detection_thread.finished_signal.connect(self.on_detection_finished)
\n self.detection_thread.start()<\/p>\n
self.update_status(f"\u6b63\u5728\u68c0\u6d4b\u89c6\u9891: {os.path.basename(file_path)}")<\/p>\n
def detect_camera(self):
\n if self.detection_thread and self.detection_thread.isRunning():
\n QMessageBox.warning(self, "\u8b66\u544a", "\u8bf7\u5148\u505c\u6b62\u5f53\u524d\u68c0\u6d4b\u4efb\u52a1")
\n return<\/p>\n
self.clear_results()
\n self.is_camera_running = True<\/p>\n
# \u521b\u5efa\u68c0\u6d4b\u7ebf\u7a0b (\u9ed8\u8ba4\u4f7f\u7528\u6444\u50cf\u59340)
\n conf = self.confidence_spinbox.value()
\n iou = self.iou_spinbox.value()
\n self.detection_thread = DetectionThread(self.model, 0, conf, iou)
\n self.detection_thread.frame_received.connect(self.on_frame_received)
\n self.detection_thread.finished_signal.connect(self.on_detection_finished)
\n self.detection_thread.start()<\/p>\n
self.update_status("\u6b63\u5728\u4ece\u6444\u50cf\u5934\u68c0\u6d4b…") <\/p>\n
🔐\u767b\u5f55\u6ce8\u518c\u9a8c\u8bc1<\/h4>\n
\u5bf9\u5e94\u6587\u4ef6：LoginWindow.py<\/p>\n
# \u8d26\u6237\u9a8c\u8bc1\u6838\u5fc3\u903b\u8f91
\ndef handle_login(self):
\n username = self.username_input.text().strip()
\n password = self.password_input.text().strip()<\/p>\n
if not username or not password:
\n QMessageBox.warning(self, "\u8b66\u544a", "\u7528\u6237\u540d\u548c\u5bc6\u7801\u4e0d\u80fd\u4e3a\u7a7a！")
\n return<\/p>\n
if username in self.accounts and self.accounts[username] == password:
\n self.accept() # \u9a8c\u8bc1\u901a\u8fc7
\n else:
\n QMessageBox.warning(self, "\u9519\u8bef", "\u7528\u6237\u540d\u6216\u5bc6\u7801\u9519\u8bef！")<\/p>\n
# \u5bc6\u7801\u5f3a\u5ea6\u68c0\u67e5（\u6ce8\u518c\u65f6）
\ndef handle_register(self):
\n if len(password) < 6: # \u5bc6\u7801\u957f\u5ea6\u22656\u4f4d
\n QMessageBox.warning(self, "\u8b66\u544a", "\u5bc6\u7801\u957f\u5ea6\u81f3\u5c11\u4e3a6\u4f4d！") <\/p>\n
🎯\u00a0\u591a\u91cd\u68c0\u6d4b\u6a21\u5f0f<\/h4>\n
\u5bf9\u5e94\u6587\u4ef6：main.py<\/p>\n
\u56fe\u7247\u68c0\u6d4b<\/p>\n
def detect_image(self):
\n file_path, _ = QFileDialog.getOpenFileName(
\n self, "\u9009\u62e9\u56fe\u7247", "", "\u56fe\u7247\u6587\u4ef6 (*.jpg *.jpeg *.png *.bmp)")
\n if file_path:
\n self.detection_thread = DetectionThread(self.model, file_path, conf, iou)
\n self.detection_thread.start() # \u542f\u52a8\u68c0\u6d4b\u7ebf\u7a0b <\/p>\n
\u89c6\u9891\u68c0\u6d4b<\/p>\n
def detect_video(self):
\n file_path, _ = QFileDialog.getOpenFileName(
\n self, "\u9009\u62e9\u89c6\u9891", "", "\u89c6\u9891\u6587\u4ef6 (*.mp4 *.avi *.mov)")
\n if file_path:
\n self.video_writer = cv2.VideoWriter() # \u521d\u59cb\u5316\u89c6\u9891\u5199\u5165\u5668
\n self.detection_thread = DetectionThread(self.model, file_path, conf, iou) <\/p>\n
\u5b9e\u65f6\u6444\u50cf\u5934<\/p>\n
def detect_camera(self):
\n self.detection_thread = DetectionThread(self.model, 0, conf, iou) # \u6444\u50cf\u5934\u8bbe\u5907\u53f70
\n self.detection_thread.start() <\/p>\n
🖼\ufe0f\u00a0\u6c89\u6d78\u5f0f\u53ef\u89c6\u5316<\/h4>\n
\u5bf9\u5e94\u6587\u4ef6：UiMain.py<\/p>\n
\u53cc\u753b\u9762\u663e\u793a<\/p>\n
def display_image(self, label, image):
\n q_img = QImage(image.data, w, h, bytes_per_line, QImage.Format_RGB888)
\n pixmap = QPixmap.fromImage(q_img)
\n label.setPixmap(pixmap.scaled(label.size(), Qt.KeepAspectRatio)) # \u81ea\u9002\u5e94\u7f29\u653e <\/p>\n
\u7ed3\u679c\u8868\u683c<\/p>\n
def add_detection_result(self, class_name, confidence, x, y):
\n self.results_table.insertRow(row)
\n items = [
\n QTableWidgetItem(class_name), # \u7c7b\u522b\u5217
\n QTableWidgetItem(f"{confidence:.2f}"), # \u7f6e\u4fe1\u5ea6
\n QTableWidgetItem(f"{x:.1f}"), # X\u5750\u6807
\n QTableWidgetItem(f"{y:.1f}") # Y\u5750\u6807
\n ] <\/p>\n
\u2699\ufe0f\u00a0\u53c2\u6570\u914d\u7f6e\u7cfb\u7edf<\/h4>\n
\u5bf9\u5e94\u6587\u4ef6：UiMain.py<\/p>\n
\u53cc\u9608\u503c\u8054\u52a8\u63a7\u5236<\/p>\n
# \u7f6e\u4fe1\u5ea6\u9608\u503c\u540c\u6b65
\ndef update_confidence(self, value):
\n confidence = value \/ 100.0
\n self.confidence_spinbox.setValue(confidence) # \u6ed1\u5757\u2192\u6570\u503c\u6846
\n self.confidence_label.setText(f"\u7f6e\u4fe1\u5ea6\u9608\u503c: {confidence:.2f}")<\/p>\n
# IoU\u9608\u503c\u540c\u6b65
\ndef update_iou(self, value):
\n iou = value \/ 100.0
\n self.iou_spinbox.setValue(iou) <\/p>\n
\u2728\u00a0UI\u7f8e\u5b66\u8bbe\u8ba1<\/h4>\n
\u5bf9\u5e94\u6587\u4ef6：UiMain.py<\/p>\n
\u79d1\u5e7b\u98ce\u683c\u6309\u94ae<\/p>\n
def create_button(self, text, color):
\n return f"""
\n QPushButton {{
\n border: 1px solid {color};
\n color: {color};
\n border-radius: 6px;
\n }}
\n QPushButton:hover {{
\n background-color: {self.lighten_color(color, 10)};
\n box-shadow: 0 0 10px {color}; # \u60ac\u505c\u53d1\u5149\u6548\u679c
\n }}
\n """ <\/p>\n
\u52a8\u6001\u72b6\u6001\u680f<\/p>\n
def update_status(self, message):
\n self.status_bar.showMessage(
\n f"\u72b6\u6001: {message} | \u6700\u540e\u66f4\u65b0: {time.strftime('%H:%M:%S')}" # \u5b9e\u65f6\u65f6\u95f4\u6233
\n ) <\/p>\n
🔄\u00a0\u667a\u80fd\u5de5\u4f5c\u6d41<\/h4>\n
\u5bf9\u5e94\u6587\u4ef6：main.py<\/p>\n
\u7ebf\u7a0b\u7ba1\u7406<\/p>\n<\/p>\n
class DetectionThread(QThread):
\n frame_received = pyqtSignal(np.ndarray, np.ndarray, list) # \u4fe1\u53f7\u91cf\u901a\u4fe1<\/p>\n
def run(self):
\n while self.running: # \u591a\u7ebf\u7a0b\u68c0\u6d4b\u5faa\u73af
\n results = self.model(frame, conf=self.conf, iou=self.iou)
\n self.frame_received.emit(original_frame, result_frame, detections) <\/p>\n
\u4e03\u3001\u9879\u76ee\u6e90\u7801(\u89c6\u9891\u7b80\u4ecb)<\/h2>\n<\/p>\n
<\/p>\n<\/p>\n
<\/p>\n<\/p>\n
\u6f14\u793a\u4e0e\u4ecb\u7ecd\u89c6\u9891：<\/p>\n
\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60YOLOv12\u7684\u5b66\u751f\u8bfe\u5802\u884c\u4e3a\u8bc6\u522b\u68c0\u6d4b\u7cfb\u7edf（YOLOv12+YOLO\u6570\u636e\u96c6+UI\u754c\u9762+\u767b\u5f55\u6ce8\u518c\u754c\u9762+Python\u9879\u76ee\u6e90\u7801+\u6a21\u578b）_\u54d4\u54e9\u54d4\u54e9_bilibili<\/span><\/p>\n\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60YOLOv12\u7684\u5b66\u751f\u8bfe\u5802\u884c\u4e3a\u8bc6\u522b\u68c0\u6d4b\u7cfb\u7edf（YOLOv12+YOLO\u6570\u636e\u96c6+UI\u754c\u9762+\u767b\u5f55\u6ce8\u518c\u754c\u9762+Python\u9879\u76ee\u6e90\u7801+\u6a21\u578b）<\/p><\/p>\n","protected":false},"excerpt":{"rendered":"
\u4e00\u3001\u9879\u76ee\u4ecb\u7ecd \u672c\u6587\u8bbe\u8ba1\u5e76\u5b9e\u73b0\u4e86\u4e00\u79cd\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60YOLOv12\u7684\u5b66\u751f\u8bfe\u5802\u884c\u4e3a\u68c0\u6d4b\u7cfb\u7edf，\u65e8\u5728\u5b9e\u65f6\u8bc6\u522b\u8bfe\u5802\u4e2d\u7684\u5b66\u751f\u884c\u4e3a，\u63d0\u5347\u6559\u5b66\u7ba1\u7406\u4e0e\u8bfe\u5802\u4e92\u52a8\u6548\u7387\u3002\u7cfb\u7edf\u652f\u63016\u7c7b\u884c\u4e3a\u68c0\u6d4b，\u5305\u62ec\u4e3e\u624b（hand-raising）\u3001\u9605\u8bfb（reading）\u3001\u4e66\u5199（writing）\u3001\u4f7f\u7528\u624b\u673a（using phone）\u3001\u4f4e\u5934（bowing the<\/p>\n","protected":false},"author":2,"featured_media":69074,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[81,780,156,50,3829,86,523],"topic":[],"class_list":["post-69094","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-python","tag-ui","tag-yolo","tag-50","tag-3829","tag-86","tag-523"],"yoast_head":"\n
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\u663e\u793a\u539f\u59cb\u56fe\u50cf\u548c\u68c0\u6d4b\u7ed3\u679c\u56fe\u50cf<\/p>\n<\/li>\n
\u68c0\u6d4b\u7ed3\u679c\u8868\u683c\u5c55\u793a，\u5305\u542b：<\/p>\n
- \n
- \n
\u68c0\u6d4b\u5230\u7684\u7c7b\u522b<\/p>\n<\/li>\n
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\u7f6e\u4fe1\u5ea6\u5206\u6570<\/p>\n<\/li>\n
- \n
\u7269\u4f53\u4f4d\u7f6e\u5750\u6807(x,y)\u3001<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
2.4 \u53c2\u6570\u914d\u7f6e<\/h4>\n
- \n
- \n
\u6a21\u578b\u9009\u62e9<\/p>\n<\/li>\n
- \n
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- \n
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- \n
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2.5 \u5176\u4ed6\u529f\u80fd<\/h4>\n
- \n
- \n
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- \n
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- \n
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- \n
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3. \u6280\u672f\u7279\u70b9<\/h3>\n
- \n
- \n
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- \n
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- \n
- \n
\u53d1\u5149\u8fb9\u6846\u548c\u6309\u94ae<\/p>\n<\/li>\n
- \n
\u60ac\u505c\u548c\u6309\u4e0b\u72b6\u6001\u6548\u679c<\/p>\n<\/li>\n
- \n
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- \n
\u68c0\u6d4b\u7ed3\u679c\u4fdd\u5b58\u673a\u5236<\/p>\n<\/li>\n
- \n
\u54cd\u5e94\u5f0f\u5e03\u5c40，\u9002\u5e94\u4e0d\u540c\u7a97\u53e3\u5927\u5c0f<\/p>\n<\/li>\n<\/ul>\n
4. \u7cfb\u7edf\u6d41\u7a0b<\/h3>\n
- \n
\u7528\u6237\u767b\u5f55\/\u6ce8\u518c<\/p>\n<\/li>\n
- \n
\u9009\u62e9\u68c0\u6d4b\u6a21\u5f0f(\u56fe\u7247\/\u89c6\u9891\/\u6444\u50cf\u5934)<\/p>\n<\/li>\n
- \n
\u8c03\u6574\u68c0\u6d4b\u53c2\u6570(\u53ef\u9009)<\/p>\n<\/li>\n
- \n
\u5f00\u59cb\u68c0\u6d4b\u5e76\u67e5\u770b\u7ed3\u679c<\/p>\n<\/li>\n
- \n
\u53ef\u9009\u62e9\u4fdd\u5b58\u68c0\u6d4b\u7ed3\u679c<\/p>\n<\/li>\n
- \n
\u505c\u6b62\u68c0\u6d4b\u6216\u5207\u6362\u5176\u4ed6\u6a21\u5f0f<\/p>\n<\/li>\n<\/p>\n
\u4e09\u3001\u6570\u636e\u96c6\u4ecb\u7ecd<\/h3>\n<\/p>\n
\u672c\u7cfb\u7edf\u91c7\u7528YOLO\u683c\u5f0f\u6807\u6ce8\u7684\u5b66\u751f\u8bfe\u5802\u884c\u4e3a\u6570\u636e\u96c6，\u5171\u5305\u542b\u00a06 \u7c7b\u884c\u4e3a，\u7528\u4e8e\u8bad\u7ec3\u3001\u9a8c\u8bc1\u548c\u6d4b\u8bd5\u57fa\u4e8e\u00a0YOLOv12\u00a0\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u3002\u6570\u636e\u96c6\u7ecf\u8fc7\u4e25\u683c\u7b5b\u9009\u548c\u6807\u6ce8，\u786e\u4fdd\u6a21\u578b\u80fd\u591f\u51c6\u786e\u8bc6\u522b\u8bfe\u5802\u73af\u5883\u4e2d\u7684\u5b66\u751f\u884c\u4e3a\u3002<\/p>\n
1. \u6570\u636e\u96c6\u7c7b\u522b<\/h5>\n
\u6570\u636e\u96c6\u4e2d\u5305\u542b\u4ee5\u4e0b\u00a06 \u79cd\u8bfe\u5802\u884c\u4e3a：<\/p>\n
- \n
hand-raising（\u4e3e\u624b）<\/p>\n<\/li>\n
- \n
reading（\u9605\u8bfb）<\/p>\n<\/li>\n
- \n
writing（\u4e66\u5199）<\/p>\n<\/li>\n
- \n
using phone（\u4f7f\u7528\u624b\u673a）<\/p>\n<\/li>\n
- \n
bowing the head（\u4f4e\u5934）<\/p>\n<\/li>\n
- \n
leaning over the table（\u8db4\u684c\u5b50）<\/p>\n<\/li>\n
2. \u6570\u636e\u96c6\u5212\u5206<\/h5>\n
\u6570\u636e\u96c6\u6309\u7167\u00a0\u8bad\u7ec3\u96c6\u3001\u9a8c\u8bc1\u96c6\u3001\u6d4b\u8bd5\u96c6\u00a0\u8fdb\u884c\u5212\u5206，\u786e\u4fdd\u6a21\u578b\u8bad\u7ec3\u548c\u8bc4\u4f30\u7684\u79d1\u5b66\u6027：<\/p>\n
- \n
- \n
\u8bad\u7ec3\u96c6（Train）：1,422 \u5f20\u56fe\u50cf（\u7528\u4e8e\u6a21\u578b\u8bad\u7ec3）<\/p>\n<\/li>\n
- \n
\u9a8c\u8bc1\u96c6（Validation）：203 \u5f20\u56fe\u50cf（\u7528\u4e8e\u8d85\u53c2\u6570\u8c03\u4f18）<\/p>\n<\/li>\n
- \n
\u6d4b\u8bd5\u96c6（Test）：407 \u5f20\u56fe\u50cf（\u7528\u4e8e\u6700\u7ec8\u6a21\u578b\u8bc4\u4f30）<\/p>\n<\/li>\n<\/ul>\n
\u6570\u636e\u96c6\u914d\u7f6e\u6587\u4ef6<\/h4>\n
\u6570\u636e\u96c6\u91c7\u7528\u6807\u51c6\u5316YOLO\u683c\u5f0f\u7ec4\u7ec7：<\/p>\n
train: F:\\\\\u5b66\u751f\u8bfe\u5802\u884c\u4e3a\u68c0\u6d4b\u6570\u636e\u96c6\/images\/train
\nval: F:\\\\\u5b66\u751f\u8bfe\u5802\u884c\u4e3a\u68c0\u6d4b\u6570\u636e\u96c6\/images\/val
\ntest: F:\\\\\u5b66\u751f\u8bfe\u5802\u884c\u4e3a\u68c0\u6d4b\u6570\u636e\u96c6\/images\/test<\/p>\n##\/datasets\/dataset\/images\/test
\n# number of classes
\nnc: 6<\/p>\n# class names
\nnames: [ 'hand-raising', 'reading', 'writing','using phone', 'bowing the head', 'leaning over the table'] <\/p>\n<\/p>\n<\/p>\n<\/p>\n\u56db\u3001\u9879\u76ee\u73af\u5883\u914d\u7f6e<\/h3>\n
\u521b\u5efa\u865a\u62df\u73af\u5883<\/h4>\n
\u9996\u5148\u65b0\u5efa\u4e00\u4e2aAnaconda\u73af\u5883，\u6bcf\u4e2a\u9879\u76ee\u7528\u4e0d\u540c\u7684\u73af\u5883，\u8fd9\u6837\u9879\u76ee\u4e2d\u6240\u7528\u7684\u4f9d\u8d56\u5305\u4e92\u4e0d\u5e72\u6270\u3002<\/p>\n<\/p>\n
\u7ec8\u7aef\u8f93\u5165<\/p>\n
conda create -n yolov12 python==3.9<\/p>\n
<\/p>\n<\/p>\n\u6fc0\u6d3b\u865a\u62df\u73af\u5883<\/p>\n
conda activate yolov12
<\/p>\n<\/p>\n\u5b89\u88c5cpu\u7248\u672cpytorch<\/p>\n
pip install torch torchvision torchaudio <\/p>\n
<\/p>\n<\/p>\n\u5b89\u88c5\u6240\u9700\u8981\u5e93<\/h4>\n
pip install -r requirements.txt<\/p>\n<\/p>\n
pycharm\u4e2d\u914d\u7f6eanaconda<\/p>\n<\/p>\n
<\/p>\n<\/p>\n\u4e94\u3001\u6a21\u578b\u8bad\u7ec3<\/h3>\n
\u8bad\u7ec3\u4ee3\u7801<\/h4>\n
from ultralytics import YOLO<\/p>\n
model_path = 'yolo12s.pt'
\ndata_path = 'data.yaml'<\/p>\nif __name__ == '__main__':
\n model = YOLO(model_path)
\n results = model.train(data=data_path,
\n epochs=100,
\n batch=8,
\n device='0',
\n workers=0,
\n project='runs',
\n name='exp',
\n )
\n\u6839\u636e\u5b9e\u9645\u60c5\u51b5\u66f4\u6362\u6a21\u578b
\n# yolov12n.yaml (nano)：\u8f7b\u91cf\u5316\u6a21\u578b，\u9002\u5408\u5d4c\u5165\u5f0f\u8bbe\u5907，\u901f\u5ea6\u5feb\u4f46\u7cbe\u5ea6\u7565\u4f4e\u3002
\n# yolov12s.yaml (small)：\u5c0f\u6a21\u578b，\u9002\u5408\u5b9e\u65f6\u4efb\u52a1\u3002
\n# yolov12m.yaml (medium)：\u4e2d\u7b49\u5927\u5c0f\u6a21\u578b，\u517c\u987e\u901f\u5ea6\u548c\u7cbe\u5ea6\u3002
\n# yolov12b.yaml (base)：\u57fa\u672c\u7248\u6a21\u578b，\u9002\u5408\u5927\u90e8\u5206\u5e94\u7528\u573a\u666f\u3002
\n# yolov12l.yaml (large)：\u5927\u578b\u6a21\u578b，\u9002\u5408\u5bf9\u7cbe\u5ea6\u8981\u6c42\u9ad8\u7684\u4efb\u52a1\u3002 <\/p>\n- \n
- –batch 8：\u6bcf\u6279\u6b218\u5f20\u56fe\u50cf\u3002<\/li>\n
- –epochs 100：\u8bad\u7ec3100\u8f6e\u3002<\/li>\n
- –datasets\/data.yaml：\u6570\u636e\u96c6\u914d\u7f6e\u6587\u4ef6\u3002<\/li>\n
- –weights yolov12s.pt：\u521d\u59cb\u5316\u6a21\u578b\u6743\u91cd，yolov12s.pt \u662f\u9884\u8bad\u7ec3\u7684\u8f7b\u91cf\u7ea7YOLO\u6a21\u578b\u3002<\/li>\n<\/ul>\n
\u8bad\u7ec3\u7ed3\u679c<\/h4>\n
<\/p>\n<\/p>\n<\/p>\n<\/p>\n<\/p>\n<\/p>\n<\/p>\n<\/p>\n<\/p>\n<\/p>\n<\/p>\n<\/p>\n\u516d\u3001\u6838\u5fc3\u4ee3\u7801<\/h3>\n
<\/p>\nimport sys<\/p>\n
import cv2
\nimport numpy as np
\nfrom PyQt5.QtWidgets import QApplication, QMessageBox, QFileDialog
\nfrom PyQt5.QtCore import QThread, pyqtSignal
\nfrom ultralytics import YOLO
\nfrom UiMain import UiMainWindow
\nimport time
\nimport os
\nfrom PyQt5.QtWidgets import QDialog
\nfrom LoginWindow import LoginWindow<\/p>\nclass DetectionThread(QThread):
\n frame_received = pyqtSignal(np.ndarray, np.ndarray, list) # \u539f\u59cb\u5e27, \u68c0\u6d4b\u5e27, \u68c0\u6d4b\u7ed3\u679c
\n finished_signal = pyqtSignal() # \u7ebf\u7a0b\u5b8c\u6210\u4fe1\u53f7<\/p>\ndef __init__(self, model, source, conf, iou, parent=None):
\n super().__init__(parent)
\n self.model = model
\n self.source = source
\n self.conf = conf
\n self.iou = iou
\n self.running = True<\/p>\ndef run(self):
\n try:
\n if isinstance(self.source, int) or self.source.endswith(('.mp4', '.avi', '.mov')): # \u89c6\u9891\u6216\u6444\u50cf\u5934
\n cap = cv2.VideoCapture(self.source)
\n while self.running and cap.isOpened():
\n ret, frame = cap.read()
\n if not ret:
\n break<\/p>\n# \u4fdd\u5b58\u539f\u59cb\u5e27
\n original_frame = frame.copy()<\/p>\n# \u68c0\u6d4b
\n results = self.model(frame, conf=self.conf, iou=self.iou)
\n annotated_frame = results[0].plot()<\/p>\n# \u63d0\u53d6\u68c0\u6d4b\u7ed3\u679c
\n detections = []
\n for result in results:
\n for box in result.boxes:
\n class_id = int(box.cls)
\n class_name = self.model.names[class_id]
\n confidence = float(box.conf)
\n x, y, w, h = box.xywh[0].tolist()
\n detections.append((class_name, confidence, x, y))<\/p>\n# \u53d1\u9001\u4fe1\u53f7
\n self.frame_received.emit(
\n cv2.cvtColor(original_frame, cv2.COLOR_BGR2RGB),
\n cv2.cvtColor(annotated_frame, cv2.COLOR_BGR2RGB),
\n detections
\n )<\/p>\n# \u63a7\u5236\u5e27\u7387
\n time.sleep(0.03) # \u7ea630fps<\/p>\ncap.release()
\n else: # \u56fe\u7247
\n frame = cv2.imread(self.source)
\n if frame is not None:
\n original_frame = frame.copy()
\n results = self.model(frame, conf=self.conf, iou=self.iou)
\n annotated_frame = results[0].plot()<\/p>\n# \u63d0\u53d6\u68c0\u6d4b\u7ed3\u679c
\n detections = []
\n for result in results:
\n for box in result.boxes:
\n class_id = int(box.cls)
\n class_name = self.model.names[class_id]
\n confidence = float(box.conf)
\n x, y, w, h = box.xywh[0].tolist()
\n detections.append((class_name, confidence, x, y))<\/p>\nself.frame_received.emit(
\n cv2.cvtColor(original_frame, cv2.COLOR_BGR2RGB),
\n cv2.cvtColor(annotated_frame, cv2.COLOR_BGR2RGB),
\n detections
\n )<\/p>\nexcept Exception as e:
\n print(f"Detection error: {e}")
\n finally:
\n self.finished_signal.emit()<\/p>\ndef stop(self):
\n self.running = False<\/p>\nclass MainWindow(UiMainWindow):
\n def __init__(self):
\n super().__init__()<\/p>\n# \u521d\u59cb\u5316\u6a21\u578b
\n self.model = None
\n self.detection_thread = None
\n self.current_image = None
\n self.current_result = None
\n self.video_writer = None
\n self.is_camera_running = False
\n self.is_video_running = False
\n self.last_detection_result = None # \u65b0\u589e：\u4fdd\u5b58\u6700\u540e\u4e00\u6b21\u68c0\u6d4b\u7ed3\u679c<\/p>\n# \u8fde\u63a5\u6309\u94ae\u4fe1\u53f7
\n self.image_btn.clicked.connect(self.detect_image)
\n self.video_btn.clicked.connect(self.detect_video)
\n self.camera_btn.clicked.connect(self.detect_camera)
\n self.stop_btn.clicked.connect(self.stop_detection)
\n self.save_btn.clicked.connect(self.save_result)<\/p>\n# \u521d\u59cb\u5316\u6a21\u578b
\n self.load_model()<\/p>\ndef load_model(self):
\n try:
\n model_name = self.model_combo.currentText()
\n self.model = YOLO(f"{model_name}.pt") # \u81ea\u52a8\u4e0b\u8f7d\u6216\u52a0\u8f7d\u672c\u5730\u6a21\u578b
\n self.update_status(f"\u6a21\u578b {model_name} \u52a0\u8f7d\u6210\u529f")
\n except Exception as e:
\n QMessageBox.critical(self, "\u9519\u8bef", f"\u6a21\u578b\u52a0\u8f7d\u5931\u8d25: {str(e)}")
\n self.update_status("\u6a21\u578b\u52a0\u8f7d\u5931\u8d25")<\/p>\ndef detect_image(self):
\n if self.detection_thread and self.detection_thread.isRunning():
\n QMessageBox.warning(self, "\u8b66\u544a", "\u8bf7\u5148\u505c\u6b62\u5f53\u524d\u68c0\u6d4b\u4efb\u52a1")
\n return<\/p>\nfile_path, _ = QFileDialog.getOpenFileName(
\n self, "\u9009\u62e9\u56fe\u7247", "", "\u56fe\u7247\u6587\u4ef6 (*.jpg *.jpeg *.png *.bmp)")<\/p>\nif file_path:
\n self.clear_results()
\n self.current_image = cv2.imread(file_path)
\n self.current_image = cv2.cvtColor(self.current_image, cv2.COLOR_BGR2RGB)
\n self.display_image(self.original_image_label, self.current_image)<\/p>\n# \u521b\u5efa\u68c0\u6d4b\u7ebf\u7a0b
\n conf = self.confidence_spinbox.value()
\n iou = self.iou_spinbox.value()
\n self.detection_thread = DetectionThread(self.model, file_path, conf, iou)
\n self.detection_thread.frame_received.connect(self.on_frame_received)
\n self.detection_thread.finished_signal.connect(self.on_detection_finished)
\n self.detection_thread.start()<\/p>\nself.update_status(f"\u6b63\u5728\u68c0\u6d4b\u56fe\u7247: {os.path.basename(file_path)}")<\/p>\n
def detect_video(self):
\n if self.detection_thread and self.detection_thread.isRunning():
\n QMessageBox.warning(self, "\u8b66\u544a", "\u8bf7\u5148\u505c\u6b62\u5f53\u524d\u68c0\u6d4b\u4efb\u52a1")
\n return<\/p>\nfile_path, _ = QFileDialog.getOpenFileName(
\n self, "\u9009\u62e9\u89c6\u9891", "", "\u89c6\u9891\u6587\u4ef6 (*.mp4 *.avi *.mov)")<\/p>\nif file_path:
\n self.clear_results()
\n self.is_video_running = True<\/p>\n# \u521d\u59cb\u5316\u89c6\u9891\u5199\u5165\u5668
\n cap = cv2.VideoCapture(file_path)
\n frame_width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
\n frame_height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
\n fps = cap.get(cv2.CAP_PROP_FPS)
\n cap.release()<\/p>\n# \u521b\u5efa\u4fdd\u5b58\u8def\u5f84
\n save_dir = "results"
\n os.makedirs(save_dir, exist_ok=True)
\n timestamp = time.strftime("%Y%m%d_%H%M%S")
\n save_path = os.path.join(save_dir, f"result_{timestamp}.mp4")<\/p>\nfourcc = cv2.VideoWriter_fourcc(*'mp4v')
\n self.video_writer = cv2.VideoWriter(save_path, fourcc, fps, (frame_width, frame_height))<\/p>\n# \u521b\u5efa\u68c0\u6d4b\u7ebf\u7a0b
\n conf = self.confidence_spinbox.value()
\n iou = self.iou_spinbox.value()
\n self.detection_thread = DetectionThread(self.model, file_path, conf, iou)
\n self.detection_thread.frame_received.connect(self.on_frame_received)
\n self.detection_thread.finished_signal.connect(self.on_detection_finished)
\n self.detection_thread.start()<\/p>\nself.update_status(f"\u6b63\u5728\u68c0\u6d4b\u89c6\u9891: {os.path.basename(file_path)}")<\/p>\n
def detect_camera(self):
\n if self.detection_thread and self.detection_thread.isRunning():
\n QMessageBox.warning(self, "\u8b66\u544a", "\u8bf7\u5148\u505c\u6b62\u5f53\u524d\u68c0\u6d4b\u4efb\u52a1")
\n return<\/p>\nself.clear_results()
\n self.is_camera_running = True<\/p>\n# \u521b\u5efa\u68c0\u6d4b\u7ebf\u7a0b (\u9ed8\u8ba4\u4f7f\u7528\u6444\u50cf\u59340)
\n conf = self.confidence_spinbox.value()
\n iou = self.iou_spinbox.value()
\n self.detection_thread = DetectionThread(self.model, 0, conf, iou)
\n self.detection_thread.frame_received.connect(self.on_frame_received)
\n self.detection_thread.finished_signal.connect(self.on_detection_finished)
\n self.detection_thread.start()<\/p>\nself.update_status("\u6b63\u5728\u4ece\u6444\u50cf\u5934\u68c0\u6d4b…") <\/p>\n
🔐\u767b\u5f55\u6ce8\u518c\u9a8c\u8bc1<\/h4>\n
\u5bf9\u5e94\u6587\u4ef6：LoginWindow.py<\/p>\n
# \u8d26\u6237\u9a8c\u8bc1\u6838\u5fc3\u903b\u8f91
\ndef handle_login(self):
\n username = self.username_input.text().strip()
\n password = self.password_input.text().strip()<\/p>\nif not username or not password:
\n QMessageBox.warning(self, "\u8b66\u544a", "\u7528\u6237\u540d\u548c\u5bc6\u7801\u4e0d\u80fd\u4e3a\u7a7a！")
\n return<\/p>\nif username in self.accounts and self.accounts[username] == password:
\n self.accept() # \u9a8c\u8bc1\u901a\u8fc7
\n else:
\n QMessageBox.warning(self, "\u9519\u8bef", "\u7528\u6237\u540d\u6216\u5bc6\u7801\u9519\u8bef！")<\/p>\n# \u5bc6\u7801\u5f3a\u5ea6\u68c0\u67e5（\u6ce8\u518c\u65f6）
\ndef handle_register(self):
\n if len(password) < 6: # \u5bc6\u7801\u957f\u5ea6\u22656\u4f4d
\n QMessageBox.warning(self, "\u8b66\u544a", "\u5bc6\u7801\u957f\u5ea6\u81f3\u5c11\u4e3a6\u4f4d！") <\/p>\n🎯\u00a0\u591a\u91cd\u68c0\u6d4b\u6a21\u5f0f<\/h4>\n
\u5bf9\u5e94\u6587\u4ef6：main.py<\/p>\n
\u56fe\u7247\u68c0\u6d4b<\/p>\n
def detect_image(self):
\n file_path, _ = QFileDialog.getOpenFileName(
\n self, "\u9009\u62e9\u56fe\u7247", "", "\u56fe\u7247\u6587\u4ef6 (*.jpg *.jpeg *.png *.bmp)")
\n if file_path:
\n self.detection_thread = DetectionThread(self.model, file_path, conf, iou)
\n self.detection_thread.start() # \u542f\u52a8\u68c0\u6d4b\u7ebf\u7a0b <\/p>\n\u89c6\u9891\u68c0\u6d4b<\/p>\n
def detect_video(self):
\n file_path, _ = QFileDialog.getOpenFileName(
\n self, "\u9009\u62e9\u89c6\u9891", "", "\u89c6\u9891\u6587\u4ef6 (*.mp4 *.avi *.mov)")
\n if file_path:
\n self.video_writer = cv2.VideoWriter() # \u521d\u59cb\u5316\u89c6\u9891\u5199\u5165\u5668
\n self.detection_thread = DetectionThread(self.model, file_path, conf, iou) <\/p>\n\u5b9e\u65f6\u6444\u50cf\u5934<\/p>\n
def detect_camera(self):
\n self.detection_thread = DetectionThread(self.model, 0, conf, iou) # \u6444\u50cf\u5934\u8bbe\u5907\u53f70
\n self.detection_thread.start() <\/p>\n🖼\ufe0f\u00a0\u6c89\u6d78\u5f0f\u53ef\u89c6\u5316<\/h4>\n
\u5bf9\u5e94\u6587\u4ef6：UiMain.py<\/p>\n
\u53cc\u753b\u9762\u663e\u793a<\/p>\n
def display_image(self, label, image):
\n q_img = QImage(image.data, w, h, bytes_per_line, QImage.Format_RGB888)
\n pixmap = QPixmap.fromImage(q_img)
\n label.setPixmap(pixmap.scaled(label.size(), Qt.KeepAspectRatio)) # \u81ea\u9002\u5e94\u7f29\u653e <\/p>\n\u7ed3\u679c\u8868\u683c<\/p>\n
def add_detection_result(self, class_name, confidence, x, y):
\n self.results_table.insertRow(row)
\n items = [
\n QTableWidgetItem(class_name), # \u7c7b\u522b\u5217
\n QTableWidgetItem(f"{confidence:.2f}"), # \u7f6e\u4fe1\u5ea6
\n QTableWidgetItem(f"{x:.1f}"), # X\u5750\u6807
\n QTableWidgetItem(f"{y:.1f}") # Y\u5750\u6807
\n ] <\/p>\n\u2699\ufe0f\u00a0\u53c2\u6570\u914d\u7f6e\u7cfb\u7edf<\/h4>\n
\u5bf9\u5e94\u6587\u4ef6：UiMain.py<\/p>\n
\u53cc\u9608\u503c\u8054\u52a8\u63a7\u5236<\/p>\n
# \u7f6e\u4fe1\u5ea6\u9608\u503c\u540c\u6b65
\ndef update_confidence(self, value):
\n confidence = value \/ 100.0
\n self.confidence_spinbox.setValue(confidence) # \u6ed1\u5757\u2192\u6570\u503c\u6846
\n self.confidence_label.setText(f"\u7f6e\u4fe1\u5ea6\u9608\u503c: {confidence:.2f}")<\/p>\n# IoU\u9608\u503c\u540c\u6b65
\ndef update_iou(self, value):
\n iou = value \/ 100.0
\n self.iou_spinbox.setValue(iou) <\/p>\n\u2728\u00a0UI\u7f8e\u5b66\u8bbe\u8ba1<\/h4>\n
\u5bf9\u5e94\u6587\u4ef6：UiMain.py<\/p>\n
\u79d1\u5e7b\u98ce\u683c\u6309\u94ae<\/p>\n
def create_button(self, text, color):
\n return f"""
\n QPushButton {{
\n border: 1px solid {color};
\n color: {color};
\n border-radius: 6px;
\n }}
\n QPushButton:hover {{
\n background-color: {self.lighten_color(color, 10)};
\n box-shadow: 0 0 10px {color}; # \u60ac\u505c\u53d1\u5149\u6548\u679c
\n }}
\n """ <\/p>\n\u52a8\u6001\u72b6\u6001\u680f<\/p>\n
def update_status(self, message):
\n self.status_bar.showMessage(
\n f"\u72b6\u6001: {message} | \u6700\u540e\u66f4\u65b0: {time.strftime('%H:%M:%S')}" # \u5b9e\u65f6\u65f6\u95f4\u6233
\n ) <\/p>\n🔄\u00a0\u667a\u80fd\u5de5\u4f5c\u6d41<\/h4>\n
\u5bf9\u5e94\u6587\u4ef6：main.py<\/p>\n
\u7ebf\u7a0b\u7ba1\u7406<\/p>\n<\/p>\n
class DetectionThread(QThread):
\n frame_received = pyqtSignal(np.ndarray, np.ndarray, list) # \u4fe1\u53f7\u91cf\u901a\u4fe1<\/p>\ndef run(self):
\n while self.running: # \u591a\u7ebf\u7a0b\u68c0\u6d4b\u5faa\u73af
\n results = self.model(frame, conf=self.conf, iou=self.iou)
\n self.frame_received.emit(original_frame, result_frame, detections) <\/p>\n\u4e03\u3001\u9879\u76ee\u6e90\u7801(\u89c6\u9891\u7b80\u4ecb)<\/h2>\n<\/p>\n
<\/p>\n<\/p>\n<\/p>\n<\/p>\n\u6f14\u793a\u4e0e\u4ecb\u7ecd\u89c6\u9891：<\/p>\n
\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60YOLOv12\u7684\u5b66\u751f\u8bfe\u5802\u884c\u4e3a\u8bc6\u522b\u68c0\u6d4b\u7cfb\u7edf（YOLOv12+YOLO\u6570\u636e\u96c6+UI\u754c\u9762+\u767b\u5f55\u6ce8\u518c\u754c\u9762+Python\u9879\u76ee\u6e90\u7801+\u6a21\u578b）_\u54d4\u54e9\u54d4\u54e9_bilibili<\/span><\/p>\n
\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60YOLOv12\u7684\u5b66\u751f\u8bfe\u5802\u884c\u4e3a\u8bc6\u522b\u68c0\u6d4b\u7cfb\u7edf（YOLOv12+YOLO\u6570\u636e\u96c6+UI\u754c\u9762+\u767b\u5f55\u6ce8\u518c\u754c\u9762+Python\u9879\u76ee\u6e90\u7801+\u6a21\u578b）<\/p><\/p>\n","protected":false},"excerpt":{"rendered":"
\u4e00\u3001\u9879\u76ee\u4ecb\u7ecd \u672c\u6587\u8bbe\u8ba1\u5e76\u5b9e\u73b0\u4e86\u4e00\u79cd\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60YOLOv12\u7684\u5b66\u751f\u8bfe\u5802\u884c\u4e3a\u68c0\u6d4b\u7cfb\u7edf，\u65e8\u5728\u5b9e\u65f6\u8bc6\u522b\u8bfe\u5802\u4e2d\u7684\u5b66\u751f\u884c\u4e3a，\u63d0\u5347\u6559\u5b66\u7ba1\u7406\u4e0e\u8bfe\u5802\u4e92\u52a8\u6548\u7387\u3002\u7cfb\u7edf\u652f\u63016\u7c7b\u884c\u4e3a\u68c0\u6d4b，\u5305\u62ec\u4e3e\u624b（hand-raising）\u3001\u9605\u8bfb（reading）\u3001\u4e66\u5199（writing）\u3001\u4f7f\u7528\u624b\u673a（using phone）\u3001\u4f4e\u5934（bowing the<\/p>\n","protected":false},"author":2,"featured_media":69074,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[81,780,156,50,3829,86,523],"topic":[],"class_list":["post-69094","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-python","tag-ui","tag-yolo","tag-50","tag-3829","tag-86","tag-523"],"yoast_head":"\n
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