models.py 文件源码

def __init__(self, bn=False):
        super(MCNN, self).__init__()

        self.branch1 = nn.Sequential(Conv2d( 1, 16, 9, same_padding=True, bn=bn),
                                     nn.MaxPool2d(2),
                                     Conv2d(16, 32, 7, same_padding=True, bn=bn),
                                     nn.MaxPool2d(2),
                                     Conv2d(32, 16, 7, same_padding=True, bn=bn),
                                     Conv2d(16,  8, 7, same_padding=True, bn=bn))

        self.branch2 = nn.Sequential(Conv2d( 1, 20, 7, same_padding=True, bn=bn),
                                     nn.MaxPool2d(2),
                                     Conv2d(20, 40, 5, same_padding=True, bn=bn),
                                     nn.MaxPool2d(2),
                                     Conv2d(40, 20, 5, same_padding=True, bn=bn),
                                     Conv2d(20, 10, 5, same_padding=True, bn=bn))

        self.branch3 = nn.Sequential(Conv2d( 1, 24, 5, same_padding=True, bn=bn),
                                     nn.MaxPool2d(2),
                                     Conv2d(24, 48, 3, same_padding=True, bn=bn),
                                     nn.MaxPool2d(2),
                                     Conv2d(48, 24, 3, same_padding=True, bn=bn),
                                     Conv2d(24, 12, 3, same_padding=True, bn=bn))

        self.fuse = nn.Sequential(Conv2d( 30, 1, 1, same_padding=True, bn=bn))