红桃cv.应用场景及操作指南,ap=cv2.VideoCapture(0)whileTrue:ret,frame=cap.read()ifnotret:break#预处理图像input_tensor=torchvision.transforms.functional.to_tensor(frame)input_tensor=input_tensor.unsqueeze(0)#添加批次维度#模型预测withtorch.no_grad():output=model(input_tensor)#后处理结果detections=torchvision.transforms.functional.to_pil_image(output.squeeze())detections=cv2.cvtColor(np.array(detections),cv2.COLOR_RGB2BGR)#显示结果cv2.imshow('Real-timeDetection',detections)ifcv2.wa