コード例 #1
0
def inception_block_3b(X):
    X_3x3 = fr_utils.conv2d_bn(X,
                               layer='inception_5b_3x3',
                               cv1_out=96,
                               cv1_filter=(1, 1),
                               cv2_out=384,
                               cv2_filter=(3, 3),
                               cv2_strides=(1, 1),
                               padding=(1, 1))
    X_pool = MaxPooling2D(pool_size=3, strides=2,
                          data_format='channels_first')(X)
    X_pool = fr_utils.conv2d_bn(X_pool,
                                layer='inception_5b_pool',
                                cv1_out=96,
                                cv1_filter=(1, 1))
    X_pool = ZeroPadding2D(padding=(1, 1),
                           data_format='channels_first')(X_pool)

    X_1x1 = fr_utils.conv2d_bn(X,
                               layer='inception_5b_1x1',
                               cv1_out=256,
                               cv1_filter=(1, 1))
    inception = concatenate([X_3x3, X_pool, X_1x1], axis=1)

    return inception
コード例 #2
0
def inception_block_2b(X):
    #inception4e
    X_3x3 = fr_utils.conv2d_bn(X,
                               layer='inception_4e_3x3',
                               cv1_out=160,
                               cv1_filter=(1, 1),
                               cv2_out=256,
                               cv2_filter=(3, 3),
                               cv2_strides=(2, 2),
                               padding=(1, 1))
    X_5x5 = fr_utils.conv2d_bn(X,
                               layer='inception_4e_5x5',
                               cv1_out=64,
                               cv1_filter=(1, 1),
                               cv2_out=128,
                               cv2_filter=(5, 5),
                               cv2_strides=(2, 2),
                               padding=(2, 2))

    X_pool = MaxPooling2D(pool_size=3, strides=2,
                          data_format='channels_first')(X)
    X_pool = ZeroPadding2D(padding=((0, 1), (0, 1)),
                           data_format='channels_first')(X_pool)

    inception = concatenate([X_3x3, X_5x5, X_pool], axis=1)

    return inception
コード例 #3
0
def inception_block_2a(X):
    X_3x3 = fr_utils.conv2d_bn(X,
                               layer='inception_4a_3x3',
                               cv1_out=96,
                               cv1_filter=(1, 1),
                               cv2_out=192,
                               cv2_filter=(3, 3),
                               cv2_strides=(1, 1),
                               padding=(1, 1))
    X_5x5 = fr_utils.conv2d_bn(X,
                               layer='inception_4a_5x5',
                               cv1_out=32,
                               cv1_filter=(1, 1),
                               cv2_out=64,
                               cv2_filter=(5, 5),
                               cv2_strides=(1, 1),
                               padding=(2, 2))

    X_pool = AveragePooling2D(pool_size=(3, 3),
                              strides=(3, 3),
                              data_format='channels_first')(X)
    X_pool = fr_utils.conv2d_bn(X_pool,
                                layer='inception_4a_pool',
                                cv1_out=128,
                                cv1_filter=(1, 1),
                                padding=(2, 2))
    X_1x1 = fr_utils.conv2d_bn(X,
                               layer='inception_4a_1x1',
                               cv1_out=256,
                               cv1_filter=(1, 1))
    inception = concatenate([X_3x3, X_5x5, X_pool, X_1x1], axis=1)

    return inception
コード例 #4
0
def inception_block_1c(X):
    X_3x3 = fr_utils.conv2d_bn(X,
                           layer='inception_3c_3x3',
                           cv1_out=128,
                           cv1_filter=(1, 1),
                           cv2_out=256,
                           cv2_filter=(3, 3),
                           cv2_strides=(2, 2),
                           padding=(1, 1))

    X_5x5 = fr_utils.conv2d_bn(X,
                           layer='inception_3c_5x5',
                           cv1_out=32,
                           cv1_filter=(1, 1),
                           cv2_out=64,
                           cv2_filter=(5, 5),
                           cv2_strides=(2, 2),
                           padding=(2, 2))

    X_pool = MaxPooling2D(pool_size=3, strides=2, data_format='channels_first')(X)
    X_pool = ZeroPadding2D(padding=((0, 1), (0, 1)), data_format='channels_first')(X_pool)

    inception = concatenate([X_3x3, X_5x5, X_pool], axis=1)

    return inception
コード例 #5
0
def inception_block_2a(X):
    X_3x3 = fr_utils.conv2d_bn(X,
                           layer='inception_4a_3x3',
                           cv1_out=96,
                           cv1_filter=(1, 1),
                           cv2_out=192,
                           cv2_filter=(3, 3),
                           cv2_strides=(1, 1),
                           padding=(1, 1))
    X_5x5 = fr_utils.conv2d_bn(X,
                           layer='inception_4a_5x5',
                           cv1_out=32,
                           cv1_filter=(1, 1),
                           cv2_out=64,
                           cv2_filter=(5, 5),
                           cv2_strides=(1, 1),
                           padding=(2, 2))

    X_pool = AveragePooling2D(pool_size=(3, 3), strides=(3, 3), data_format='channels_first')(X)
    X_pool = fr_utils.conv2d_bn(X_pool,
                           layer='inception_4a_pool',
                           cv1_out=128,
                           cv1_filter=(1, 1),
                           padding=(2, 2))
    X_1x1 = fr_utils.conv2d_bn(X,
                           layer='inception_4a_1x1',
                           cv1_out=256,
                           cv1_filter=(1, 1))
    inception = concatenate([X_3x3, X_5x5, X_pool, X_1x1], axis=1)

    return inception
コード例 #6
0
def inception_block_3b(X):
    X_3x3 = fr_utils.conv2d_bn(X,
                           layer='inception_5b_3x3',
                           cv1_out=96,
                           cv1_filter=(1, 1),
                           cv2_out=384,
                           cv2_filter=(3, 3),
                           cv2_strides=(1, 1),
                           padding=(1, 1))
    X_pool = MaxPooling2D(pool_size=3, strides=2, data_format='channels_first')(X)
    X_pool = fr_utils.conv2d_bn(X_pool,
                           layer='inception_5b_pool',
                           cv1_out=96,
                           cv1_filter=(1, 1))
    X_pool = ZeroPadding2D(padding=(1, 1), data_format='channels_first')(X_pool)

    X_1x1 = fr_utils.conv2d_bn(X,
                           layer='inception_5b_1x1',
                           cv1_out=256,
                           cv1_filter=(1, 1))
    inception = concatenate([X_3x3, X_pool, X_1x1], axis=1)

    return inception