Create to_chart_result.py

3rdparty/densepose/converters/to_chart_result.py

@@ -0,0 +1,70 @@
+# 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
+        )