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on
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Running
on
Zero
File size: 1,130 Bytes
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# Copyright (c) Facebook, Inc. and its affiliates.
from typing import Any
from .base import BaseConverter
class HFlipConverter(BaseConverter):
"""
Converts various DensePose predictor outputs to DensePose results.
Each DensePose predictor output type has to register its convertion strategy.
"""
registry = {}
dst_type = None
@classmethod
# pyre-fixme[14]: `convert` overrides method defined in `BaseConverter`
# inconsistently.
def convert(cls, predictor_outputs: Any, transform_data: Any, *args, **kwargs):
"""
Performs an horizontal flip on DensePose predictor outputs.
Does recursive lookup for base classes, so there's no need
for explicit registration for derived classes.
Args:
predictor_outputs: DensePose predictor output to be converted to BitMasks
transform_data: Anything useful for the flip
Return:
An instance of the same type as predictor_outputs
"""
return super(HFlipConverter, cls).convert(
predictor_outputs, transform_data, *args, **kwargs
)
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