model.py

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