yolov5改写detect

你可以按照以下步骤来改写 YOLOv5 的 detect.py 文件：

1. 导入所需的库：

import torch
from models.experimental import attempt_load
from utils.general import non_max_suppression, scale_coords
from utils.torch_utils import select_device, time_synchronized

2. 定义 detect 函数：

def detect(weights, img_size=640, conf_thres=0.25, iou_thres=0.45):
    device = select_device('')
    model = attempt_load(weights, map_location=device)
    model.to(device).eval()

    img = torch.zeros((1, 3, img_size, img_size), device=device)  # 初始化输入图像
    _ = model(img.float()) if device.type != 'cpu' else None  # 确保模型已加载

    # 推理过程
    for path, img, im0s, vid_cap in dataset:
        img = torch.from_numpy(img).to(device)