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5b8fd42 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 | import torch
import torch.nn as nn
class CookieNet(nn.Module):
def __init__(self):
super(CookieNet, self).__init__()
# 特徵提取層 (CNN 200x112 -> 25x14)
self.features = nn.Sequential(
nn.Conv2d(3, 32, kernel_size=3, stride=1, padding=1),
nn.ReLU(),
nn.MaxPool2d(2, 2),
nn.Conv2d(32, 64, kernel_size=3, stride=1, padding=1),
nn.ReLU(),
nn.MaxPool2d(2, 2),
nn.Conv2d(64, 64, kernel_size=3, stride=1, padding=1),
nn.ReLU(),
nn.MaxPool2d(2, 2),
)
# 分類層 (4 類: 0:None, 1:Jump, 2:Slide, 3:Enter)
self.classifier = nn.Sequential(
nn.Flatten(),
nn.Linear(64 * 14 * 25, 512),
nn.ReLU(),
nn.Dropout(0.5),
nn.Linear(512, 4)
)
def forward(self, x):
x = self.features(x)
x = self.classifier(x)
return x
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