Miao Zheng 309528de8d
[Refactor] Refine documentation (#1993)
* [WIP] Refine documentation

* get started done

* config refine

* train_test

* refine user guides

* add contribution

* add contribution

* refine visualization

* advanced tutorial

* advanced guides

* tricks

* refine zh doc

* refactor changelog
2022-08-31 20:54:15 +08:00

979 B

Adding New Data Transforms

  1. Write a new pipeline in any file, e.g., my_pipeline.py. It takes a dict as input and return a dict.

    from mmseg.datasets import TRANSFORMS
    @TRANSFORMS.register_module()
    class MyTransform:
        def transform(self, results):
            results['dummy'] = True
            return results
    
  2. Import the new class.

    from .my_pipeline import MyTransform
    
  3. Use it in config files.

    crop_size = (512, 1024)
    train_pipeline = [
        dict(type='LoadImageFromFile'),
        dict(type='LoadAnnotations'),
        dict(type='RandomResize',
             scale=(2048, 1024),
             ratio_range=(0.5, 2.0),
             keep_ratio=True),
        dict(type='RandomCrop', crop_size=crop_size, cat_max_ratio=0.75),
        dict(type='RandomFlip', flip_ratio=0.5),
        dict(type='PhotoMetricDistortion'),
        dict(type='MyTransform'),
        dict(type='PackSegInputs'),
    ]