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Kai Chen edited this page Aug 25, 2018
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mmcv
is a collection of common methods and utils for computer vision. It consists of the following modules.
-
io
: It provides a set of unified APIs for loading and dumping data, supporting different file formats. It also provides some wrappers for common file and directory operations. -
image
: It provides friendly APIs for image IO and processing, based on OpenCV (compatible with multiple versions). -
video
: It provides sequence-like interfaces to manipulate videos, and some video processing tools. -
visualization
: It provides some visualization methods to display images and various annotations. -
utils
: It is a collection of useful utils, including timer, progress bar, etc. -
config
: A helper class for the usage of config files, supporting py/yaml/json. -
torchpack
: It defines a flexible training pipeline controlled by built-in and custom hooks, and also provides some useful methods. -
backbones
: Implementation of popular backbones.
- Port modules from
cvbase
andtorchpack
(27/08) - Prepare documentation (29/08)
- Travis deployment (01/09)
- Add
backbone
module (20/09)