Package structures changes

This section is included if you are curious about what has changed between MMSeg 0.x and 1.x.

Removed packages

mmseg.core

In OpenMMLab 2.0, core package has been removed. hooks and optimizers of core are moved in mmseg.engine, and evaluation in core is mmseg.evaluation currently.

mmseg.ops

ops package included encoding and wrappers, which are moved in mmseg.models.utils.

Added packages

mmseg.engine

OpenMMLab 2.0 adds a new foundational library for training deep learning, MMEngine. It servers as the training engine of all OpenMMLab codebases. engine package of mmseg is some customized modules for semantic segmentation task, like SegVisualizationHook which works for visualizing segmentation mask.

mmseg.structure

In OpenMMLab 2.0, we designed data structure for computer vision task, and in mmseg, we implements SegDataSample in structure package.

mmseg.evaluation

We move all evaluation metric in mmseg.evaluation.

mmseg.registry

We moved registry implementations for all kinds of modules in MMSegmentation in mmseg.registry.

Modified packages

mmseg.apis

OpenMMLab 2.0 tries to support unified interface for multitasking of Computer Vision, and releases much stronger Runner, so MMSeg 1.x removed modules in train.py and test.py renamed init_segmentor to init_model and inference_segmentor to inference_model.

Here is the changes of mmseg.apis:

mmseg.datasets

OpenMMLab 2.0 defines the BaseDataset to function and interface of dataset, and MMSegmentation 1.x also follow this protocol and defines the BaseSegDataset inherited from BaseDataset. MMCV 2.x collects general data transforms for multiple tasks e.g. classification, detection, segmentation, so MMSegmentation 1.x uses these data transforms and removes them from mmseg.datasets.

mmseg.models

models has not changed a lot, just added the encoding and wrappers from previous mmseg.ops