请用python写出一个Yolov5
时间: 2023-01-31 18:01:51 浏览: 178
Yolov5最简单Python例子
Yolov5 是一种物体检测模型,在 Python 中可以使用 PyTorch 库来构建和训练 Yolov5。
下面是一个简单的 Yolov5 模型的示例代码:
```python
import torch
import torch.nn as nn
class Yolov5(nn.Module):
def __init__(self, num_classes):
super(Yolov5, self).__init__()
self.num_classes = num_classes
self.conv1 = nn.Conv2d(3, 32, 3, padding=1)
self.bn1 = nn.BatchNorm2d(32)
self.conv2 = nn.Conv2d(32, 64, 3, padding=1)
self.bn2 = nn.BatchNorm2d(64)
self.conv3 = nn.Conv2d(64, 128, 3, padding=1)
self.bn3 = nn.BatchNorm2d(128)
self.conv4 = nn.Conv2d(128, 256, 3, padding=1)
self.bn4 = nn.BatchNorm2d(256)
self.conv5 = nn.Conv2d(256, 512, 3, padding=1)
self.bn5 = nn.BatchNorm2d(512)
self.conv6 = nn.Conv2d(512, 1024, 3, padding=1)
self.bn6 = nn.BatchNorm2d(1024)
self.conv7 = nn.Conv2d(1024, 2048, 3, padding=1)
self.bn7 = nn.BatchNorm2d(2048)
self.conv8 = nn.Conv2d(2048, 4096, 3, padding=1)
self.bn8 = nn.BatchNorm2d(4096)
self.conv9 = nn.Conv2d(4096, num_classes, 3, padding=1)
def forward(self, x):
x = self.conv1(x)
x = self.bn1(x)
x = nn.functional.relu(x)
x = self.conv2(x)
x = self.bn2(x)
x = nn.functional.relu(x)
x = self.conv3(x)
x = self.bn3(x)
x = nn.functional.relu(x)
x = self.conv4(x)
x = self.bn4(x)
x = nn.functional.relu(x)
x = self.conv5(x)
x = self.bn5(x)
x = nn.functional.relu(x)
x = self.conv6(x)
x = self.bn6(x)
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