Python配合Yolov11开对象检测训练软件

1. 上篇文章写了，yolov11对象检测软件，这篇文章再加入训练的功能
2. 环境配置环境配置onnx 1.16.1,onnx-graphsurgeon 0.5.2,onnxruntime 1.19.2,onnxruntime-gpu 1.19.2,onnxslim 0.1.34,torch 2.3.1+cu121,torchaudio 2.3.1+cu121,torchvision 0.18.1+cu121,PySide6 6.6.1,PySide6-Addons 6.6.1,PySide6-Essentials 6.6.1
3. 分类使用的数据集，halcon的pill_bag对象检测的数据集
   
   4.软件界面
   
   5.核心代码

  def TrainThrExecut(self):
        _monitor_train.TrainSimple = True
        imagedealwith._image_deal_with.Model = YOLO(imagedealwith._image_deal_with.TrainPreprocessModelPath)
        results = imagedealwith._image_deal_with.Model.train(data=imagedealwith._image_deal_with.TrainingYamlFilePath,
            project=imagedealwith._image_deal_with.TrainSaveDataPath,
            epochs=imagedealwith._image_deal_with.Epoches,
            batch=imagedealwith._image_deal_with.BatchSize,
            imgsz=imagedealwith._image_deal_with.PreprocessImageSize,
            amp=False)
        print(results)
        sucess = imagedealwith._image_deal_with.Model.export(format='onnx')
        _monitor_train.TrainSimple = False
        imagedealwith._image_deal_with.ImageDealWithStatus = ImageDealWithStatusEnu.Inference
        self.pbtn_train.setText("Train")
        self.lab_train_status.setText("")
        pass