Print the total number of parameters in the network and (if verbose) network architecture Parameters: verbose (bool) -- if verbos

Print and save options It will print both current options and default values(if different). It will save options into a text file / [

Generate random colors. To get visually distinct colors, generate them in HSV space then convert to RGB.

Read .flo file in Middlebury format

Reset the self.saved status

Draw a round corner

:param bid: :param rot: :param op_type: :param xs: list :param zs: list :param xz_type: 'pos' or 'top_center', showing whethe

Make axes of 3D plot have equal scale so that spheres appear as spheres, cubes as cubes, etc.. This is one possible solution to Matplotlib's

This function disables printing when not in master process

Make models eval mode during test time

Converts a mask generated by the neural network to a format similar to its original shape. mask: [height, width] of type float. A small, typic

Ask a yes/no question via raw_input() and return their answer. "question" is a string that is presented to the user. "default" is the presumed

Return a data point and its metadata information. Parameters: index - - a random integer for data indexing Returns:

:param trigger_period: If None or 0, `check` will always return False.

Reset the class; indicates the class hasn't been initailized

Args: n: number of bricks to be vertically stacked brick_type: position: rotation:

Initialize the class; save the options in the class Parameters: opt (Option class)-- stores all the experiment flags; needs to be

Initialize this class Step 1: create a dataset instance given the name [dataset_mode] Step 2: create a multi-threaded data loader.

Initialize this model class. Parameters: opt -- training/test options A few things can be done here. - (required

Initialize the BaseModel class. Parameters: opt (Option class)-- stores all the experiment flags; needs to be a subclass of BaseO

Initialize this model class. Parameters: opt -- training/test options A few things can be done here. - (required

:param stack_4rots: stacking occ for four different rotations

Initialize the HTML classes Parameters: web_dir (str) -- a directory that stores the webpage. HTML file will be created at <web_d

Initialize the Visualizer class Parameters: opt -- stores all the experiment flags; needs to be a subclass of BaseOptions

Initialize the ImagePool class Parameters: pool_size (int) -- the size of image buffer, if pool_size=0, no buffer will be created

For conveniently render the scenario where we have a base bricks_pc and want to render multiple candidate bricks. :param bric