yolov8 打印FPS
时间: 2023-10-01 20:09:45 浏览: 143
您可以使用以下代码来打印YOLOv4模型的帧率(FPS):
```python
import time
import torch
from torchvision import models
def calculate_fps(model, input_shape):
model = model.to('cuda')
model.eval()
input_tensor = torch.randn(input_shape).to('cuda')
times = []
for i in range(100):
torch.cuda.synchronize()
start_time = time.time()
with torch.no_grad():
_ = model(input_tensor)
torch.cuda.synchronize()
end_time = time.time()
elapsed_time = end_time - start_time
times.append(elapsed_time)
avg_time = sum(times) / len(times)
fps = 1 / avg_time
return fps
# 使用YOLOv4模型计算FPS
model = models.detection.yolo_v3(pretrained=True)
input_shape = (1, 3, 416, 416) # 输入图像的形状,根据实际情况调整
fps = calculate_fps(model, input_shape)
print(f"FPS: {fps}")
```
请注意,这里使用的是`torchvision`库中的`yolo_v3`模型,您可以根据自己的需求更改为YOLOv8模型。确保已安装需要的库(例如`torch`, `torchvision`),并根据您的输入图像形状进行调整。