caffe2.python.visualize.PatchVisualizer Class Reference

Inheritance diagram for caffe2.python.visualize.PatchVisualizer:

Public Member Functions
def	__init__ (self, gap=1)
def	ShowSingle (self, patch, cmap=None)
def	ShowMultiple (self, patches, ncols=None, cmap=None, bg_func=np.mean)
def	ShowImages (self, patches, args, kwargs)
def	ShowChannels (self, patch, cmap=None, bg_func=np.mean)
def	get_patch_shape (self, patch)

Public Attributes
	gap

Detailed Description

PatchVisualizer visualizes patches.

Definition at line 28 of file visualize.py.

Member Function Documentation

def caffe2.python.visualize.PatchVisualizer.get_patch_shape	(		self,
			patch
	)

Gets the shape of a single patch.

    Basically it tries to interprete the patch as a square, and also check if it
    is in color (3 channels)

Definition at line 115 of file visualize.py.

def caffe2.python.visualize.PatchVisualizer.ShowChannels	(		self,
			patch,
			cmap = None,
			bg_func = np.mean
	)

This function shows the channels of a patch.

    The incoming patch should have shape [w, h, num_channels], and each channel
    will be visualized as a separate gray patch.

Definition at line 104 of file visualize.py.

def caffe2.python.visualize.PatchVisualizer.ShowImages	(		self,
			patches,
			args,
			kwargs
	)

Similar to ShowMultiple, but always normalize the values between 0 and 1
    for better visualization of image-type data.

Definition at line 96 of file visualize.py.

def caffe2.python.visualize.PatchVisualizer.ShowMultiple	(		self,
			patches,
			ncols = None,
			cmap = None,
			bg_func = np.mean
	)

Visualize multiple patches.

    In the passed in patches matrix, each row is a patch, in the shape of either
    n*n, n*n*1 or n*n*3, either in a flattened format (so patches would be a
    2-D array), or a multi-dimensional tensor. We will try our best to figure
    out automatically the patch size.

Definition at line 52 of file visualize.py.

def caffe2.python.visualize.PatchVisualizer.ShowSingle	(		self,
			patch,
			cmap = None
	)

Visualizes one single patch.

    The input patch could be a vector (in which case we try to infer the shape
    of the patch), a 2-D matrix, or a 3-D matrix whose 3rd dimension has 3
    channels.

Definition at line 35 of file visualize.py.

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The documentation for this class was generated from the following file:

• caffe2/python/visualize.py