Delete to_mask.py

to_mask.py

@@ -1,49 +0,0 @@
-# Copyright (c) Facebook, Inc. and its affiliates.
-
-from typing import Any, Tuple
-
-from detectron2.structures import BitMasks, Boxes
-
-from .base import BaseConverter
-
-ImageSizeType = Tuple[int, int]
-
-
-class ToMaskConverter(BaseConverter):
-    """
-    Converts various DensePose predictor outputs to masks
-    in bit mask format (see `BitMasks`). Each DensePose predictor output type
-    has to register its convertion strategy.
-    """
-
-    registry = {}
-    dst_type = BitMasks
-
-    @classmethod
-    # pyre-fixme[14]: `convert` overrides method defined in `BaseConverter`
-    #  inconsistently.
-    def convert(
-        cls,
-        densepose_predictor_outputs: Any,
-        boxes: Boxes,
-        image_size_hw: ImageSizeType,
-        *args,
-        **kwargs
-    ) -> BitMasks:
-        """
-        Convert DensePose predictor outputs to BitMasks using some registered
-        converter. Does recursive lookup for base classes, so there's no need
-        for explicit registration for derived classes.
-        
-        Args:
-            densepose_predictor_outputs: DensePose predictor output to be
-                converted to BitMasks
-            boxes (Boxes): bounding boxes that correspond to the DensePose
-                predictor outputs
-            image_size_hw (tuple [int, int]): image height and width
-        Return:
-            An instance of `BitMasks`. If no suitable converter was found, raises KeyError
-        """
-        return super(ToMaskConverter, cls).convert(
-            densepose_predictor_outputs, boxes, image_size_hw, *args, **kwargs
-        )