Define simple rectangular bricks by its size

Dict as attribute trick.

Example: >>> vis = HTMLTableVisualizer('<some_dir>', 'Visualization') >>> with vis.html(): >>> with vis.table('Table

Main class for Generalized R-CNN. Arguments: backbone (nn.Module): rpn (nn.Module): roi_heads (nn.Module): takes the

Track a series of values and provide access to smoothed values over a window or the global series average.

Handles higher level logic for HTMLTableVisualizer

Wrapper class of Dataset class that performs multi-threaded data loading

This class includes training options. It also includes shared options defined in BaseOptions.

nn.Module warpper for focal loss

This HTML class allows us to save images and write texts into a single HTML file. It consists of functions such as <add_header> (add a text head

Example: >>> vis = HTMLTableVisualizer('<some_dir>', 'Visualization') >>> with vis.html(): >>> with vis.table('Table

This class includes test options. It also includes shared options defined in BaseOptions.

This class includes training options. It also includes shared options defined in BaseOptions.

This class includes several functions that can display/save images and print/save logging information. It uses a Python library 'visdom' for disp

r"""Implements data parallelism at the module level. This container parallelizes the application of the given module by splitting the input a

This class is an abstract base class (ABC) for datasets. To create a subclass, you need to implement the following four functions: -- <__init

This class is an abstract base class (ABC) for models. To create a subclass, you need to implement the following five functions: -- <__ini

This class defines options used during both training and test time. It also implements several helper functions such as parsing, printing, and sa

A timer that goes off after the a fixed time period. The catch: you need to poll it and provide it the time! Usage: ``` timer =

A Python script for downloading CycleGAN or pix2pix datasets. Parameters: technique (str) -- One of: 'cyclegan' or 'pix2pix'. ver

This class implements an image buffer that stores previously generated images. This buffer enables us to update discriminators using a history of

Automatically assign int IDs to hashable objects. Usage: ``` id_map = IntIdDict() print(id_map['a']) print(id_map['b'])

Regression loss for an output tensor Arguments: output (batch x dim x h x w) mask (batch x max_objects) ind (batch x max