pylissom.utils.plotting

Submodules

pylissom.utils.plotting.layers module

Some functions to plot specifically weights and activations of Lissom modules

pylissom.utils.plotting.layers.images_matrix(matrix, range_interval=None)

pylissom.utils.plotting.layers.weights_to_numpy_matrix(weights, values_range)

pylissom.utils.plotting.layers.plot_layer_weights(layer, use_range=True, recursive=False, prefix='')

Assumes layer parameters are weights and plots them :param layer: Plots weights (parameters) of this layer :param use_range: Normalize the image values between (0, 1) or (-1, 1) if layer is pylissom.nn.modules.lissom.DifferenceOfGaussiansLinear :param recursive: Plot weights of children modules recursively :param prefix: Title of plot

pylissom.utils.plotting.layers.simple_plot_layer_activation(layer, prefix='')

pylissom.utils.plotting.layers.plot_layer_activation(layer, prefix='')

Plots input and activation of layer and children modules recursively

Assumes layer has input and output parameters defined (probably defined with pylissom.nn.modules.register_recursive_input_output_hook()

Parameters:

• layer – Layer to plot
• prefix – Title of plot

pylissom.utils.plotting.matrix module

Some plotting functions that receive numpy matrices as input

pylissom.utils.plotting.matrix.plot_matrix(img, vmin=0, vmax=1)

Plots a numpy matrix in grayscale normalizing with vmin, vmax

pylissom.utils.plotting.matrix.plot_list_matrices(imgs)

pylissom.utils.plotting.matrix.plot_dict_matrices(imgs)

Parameters:imgs – Dictionary of {title: numpy matrix} items

pylissom.utils.plotting.matrix.tensor_to_numpy_matrix(tensor, shape)

Returns: Numpy version of tensor with shape = shape

pylissom.utils.plotting.matrix.plot_tensor(tensor, shape, vmin=0, vmax=1)