layers_builder.py 文件源码

python
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项目:PSPNet-Keras-tensorflow 作者: Vladkryvoruchko 项目源码 文件源码
def residual_conv(prev, level, pad=1, lvl=1, sub_lvl=1, modify_stride=False):
    lvl = str(lvl)
    sub_lvl = str(sub_lvl)
    names = ["conv"+lvl+"_" + sub_lvl + "_1x1_reduce",
             "conv"+lvl+"_" + sub_lvl + "_1x1_reduce_bn",
             "conv"+lvl+"_" + sub_lvl + "_3x3",
             "conv"+lvl+"_" + sub_lvl + "_3x3_bn",
             "conv"+lvl+"_" + sub_lvl + "_1x1_increase",
             "conv"+lvl+"_" + sub_lvl + "_1x1_increase_bn"]
    if modify_stride is False:
        prev = Conv2D(64 * level, (1, 1), strides=(1, 1), name=names[0],
                      use_bias=False)(prev)
    elif modify_stride is True:
        prev = Conv2D(64 * level, (1, 1), strides=(2, 2), name=names[0],
                      use_bias=False)(prev)

    prev = BN(name=names[1])(prev)
    prev = Activation('relu')(prev)

    prev = ZeroPadding2D(padding=(pad, pad))(prev)
    prev = Conv2D(64 * level, (3, 3), strides=(1, 1), dilation_rate=pad,
                  name=names[2], use_bias=False)(prev)

    prev = BN(name=names[3])(prev)
    prev = Activation('relu')(prev)
    prev = Conv2D(256 * level, (1, 1), strides=(1, 1), name=names[4],
                  use_bias=False)(prev)
    prev = BN(name=names[5])(prev)
    return prev
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