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image_segmentation.py
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image_segmentation.py
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# Inference code generated from the JSON schema spec in @huggingface/tasks.
#
# See:
# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts
# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks.
from dataclasses import dataclass
from typing import Any, Literal, Optional
from .base import BaseInferenceType
ImageSegmentationSubtask = Literal["instance", "panoptic", "semantic"]
@dataclass
class ImageSegmentationParameters(BaseInferenceType):
"""Additional inference parameters
Additional inference parameters for Image Segmentation
"""
mask_threshold: Optional[float] = None
"""Threshold to use when turning the predicted masks into binary values."""
overlap_mask_area_threshold: Optional[float] = None
"""Mask overlap threshold to eliminate small, disconnected segments."""
subtask: Optional["ImageSegmentationSubtask"] = None
"""Segmentation task to be performed, depending on model capabilities."""
threshold: Optional[float] = None
"""Probability threshold to filter out predicted masks."""
@dataclass
class ImageSegmentationInput(BaseInferenceType):
"""Inputs for Image Segmentation inference"""
inputs: Any
"""The input image data"""
parameters: Optional[ImageSegmentationParameters] = None
"""Additional inference parameters"""
@dataclass
class ImageSegmentationOutputElement(BaseInferenceType):
"""Outputs of inference for the Image Segmentation task
A predicted mask / segment
"""
label: str
"""The label of the predicted segment"""
mask: Any
"""The corresponding mask as a black-and-white image"""
score: Optional[float] = None
"""The score or confidence degreee the model has"""