Function bottleneck_block

src/models/blocks.py:119–147

bottleneck block for residual convolution Args: inputs: input to the bottleneck residual block filters: number of filters kernel_size: kernel size used in convolution temp: used in convolution loop: number of times residual bottleneck need to apply

(inputs,
                     filters=64,
                     kernel_size=(3, 3),
                     strides=(1, 1),
                     temp=6,
                     loop=3)

    return out

def bottleneck_block(inputs,
                     filters=64,
                     kernel_size=(3, 3),
                     strides=(1, 1),
                     temp=6,
                     loop=3):
    """
    bottleneck block for residual convolution
    Args:
        inputs: input to the bottleneck residual block
        filters: number of filters
        kernel_size: kernel size used in convolution
        temp: used in convolution
        loop: number of times residual bottleneck need to apply
    Returns:
        out: output from residual bottleneck
    """
    out = residual_bottleneck(inputs=inputs,
                            filters=filters,
                            kernel_size=kernel_size,
                            strides=strides,
                            temp=temp)
    for _ in range(1, loop):
        out = residual_bottleneck(inputs=out,
                                filters=filters,
                                kernel_size=kernel_size,
                                temp=temp,
                                relu=True)
    return out

def pyramid_pooling_block(input_tensor, bin_sizes):
    """