Delete to_chart_result.py

to_chart_result.py

@@ -1,70 +0,0 @@
-# Copyright (c) Facebook, Inc. and its affiliates.
-
-from typing import Any
-
-from detectron2.structures import Boxes
-
-from ..structures import DensePoseChartResult, DensePoseChartResultWithConfidences
-from .base import BaseConverter
-
-
-class ToChartResultConverter(BaseConverter):
-    """
-    Converts various DensePose predictor outputs to DensePose results.
-    Each DensePose predictor output type has to register its convertion strategy.
-    """
-
-    registry = {}
-    dst_type = DensePoseChartResult
-
-    @classmethod
-    # pyre-fixme[14]: `convert` overrides method defined in `BaseConverter`
-    #  inconsistently.
-    def convert(cls, predictor_outputs: Any, boxes: Boxes, *args, **kwargs) -> DensePoseChartResult:
-        """
-        Convert DensePose predictor outputs to DensePoseResult 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
-        Return:
-            An instance of DensePoseResult. If no suitable converter was found, raises KeyError
-        """
-        return super(ToChartResultConverter, cls).convert(predictor_outputs, boxes, *args, **kwargs)
-
-
-class ToChartResultConverterWithConfidences(BaseConverter):
-    """
-    Converts various DensePose predictor outputs to DensePose results.
-    Each DensePose predictor output type has to register its convertion strategy.
-    """
-
-    registry = {}
-    dst_type = DensePoseChartResultWithConfidences
-
-    @classmethod
-    # pyre-fixme[14]: `convert` overrides method defined in `BaseConverter`
-    #  inconsistently.
-    def convert(
-        cls, predictor_outputs: Any, boxes: Boxes, *args, **kwargs
-    ) -> DensePoseChartResultWithConfidences:
-        """
-        Convert DensePose predictor outputs to DensePoseResult with confidences
-        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 with confidences
-                to be converted to BitMasks
-            boxes (Boxes): bounding boxes that correspond to the DensePose
-                predictor outputs
-        Return:
-            An instance of DensePoseResult. If no suitable converter was found, raises KeyError
-        """
-        return super(ToChartResultConverterWithConfidences, cls).convert(
-            predictor_outputs, boxes, *args, **kwargs
-        )