layers3.bilinearUpSample

class layers3.bilinearUpSample(factor)

Basic bilinear upsampling layer. The biliear upsampling in tensorflow 1.x version has some mismatch with cv2&PIL&pytorch.

__init__(factor)

Parameters:factor (int) – The upsample factor. The output will become factor times larger as the input tensor.

build(input_shape)

Creates the variables of the layer (optional, for subclass implementers).

This is a method that implementers of subclasses of Layer or Model can override if they need a state-creation step in-between layer instantiation and layer call.

This is typically used to create the weights of Layer subclasses.

Parameters:input_shape – Instance of TensorShape, or list of instances of TensorShape if the layer expects a list of inputs (one instance per input).

call(x)

Parameters:x – Input tensor or numpy array. The object will be automatically converted to tensor if the input is np.array. Note that other arrays in args or kwargs will not be auto-converted.

get_kernel(dim, chn, factor)

upsample_kernel(size)

upsample_kernel_1d(size)

upsample_kernel_3d(size)