给一段yoloV5的代码

我们可以使用以下YOLOv5代码：import torch
import torchvision
from torchvision.models.detection.faster_rcnn import FastRCNNPredictor
from torchvision.models.detection.mask_rcnn import MaskRCNNPredictor# 创建YOLOv5模型
model = torchvision.models.detection.fasterrcnn_resnet50_fpn(pretrained=True)# 获取预测器
num_classes = 2 # 分类数
in_features = model.roi_heads.box_predictor.cls_score.in_features
model.roi_heads.box_predictor = FastRCNNPredictor(in_features, num_classes)# 将模型参数加载
checkpoint = torch.load('model.pt', map_location='cpu')
model.load_state_dict(checkpoint['model'])# 将YOLOv5模型放入GPU
device = torch.device('cuda')
model.to(device)