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from detectron2.structures import BitMasks, Instances |
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from densepose.converters import ToMaskConverter |
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class MaskFromDensePoseSampler: |
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""" |
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Produce mask GT from DensePose predictions |
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This sampler simply converts DensePose predictions to BitMasks |
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that a contain a bool tensor of the size of the input image |
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""" |
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def __call__(self, instances: Instances) -> BitMasks: |
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""" |
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Converts predicted data from `instances` into the GT mask data |
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Args: |
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instances (Instances): predicted results, expected to have `pred_densepose` field |
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Returns: |
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Boolean Tensor of the size of the input image that has non-zero |
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values at pixels that are estimated to belong to the detected object |
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""" |
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return ToMaskConverter.convert( |
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instances.pred_densepose, instances.pred_boxes, instances.image_size |
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) |
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