Update block.py
Browse filesadding mellon meta
block.py
CHANGED
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@@ -37,11 +37,13 @@ class Florence2ImageAnnotatorBlock(ModularPipelineBlocks):
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type_hint=Union[Image.Image, List[Image.Image]],
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required=True,
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description="Image(s) to annotate",
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),
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InputParam(
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"annotation_task",
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type_hint=Union[str, List[str]],
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default="<REFERRING_EXPRESSION_SEGMENTATION>",
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description="""Annotation Task to perform on the image.
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Supported Tasks:
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@@ -63,6 +65,7 @@ class Florence2ImageAnnotatorBlock(ModularPipelineBlocks):
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"annotation_prompt",
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type_hint=Union[str, List[str]],
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required=True,
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description="""Annotation Prompt to provide more context to the task.
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Can be used to detect or segment out specific elements in the image
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""",
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@@ -71,6 +74,7 @@ class Florence2ImageAnnotatorBlock(ModularPipelineBlocks):
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"annotation_output_type",
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type_hint=str,
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default="mask_image",
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description="""Output type from annotation predictions. Availabe options are
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annotation:
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- raw annotation predictions from the model based on task type.
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@@ -88,6 +92,7 @@ class Florence2ImageAnnotatorBlock(ModularPipelineBlocks):
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required=True,
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default=False,
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description="",
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),
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InputParam(
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"fill",
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@@ -109,6 +114,7 @@ class Florence2ImageAnnotatorBlock(ModularPipelineBlocks):
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"images",
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type_hint=Image,
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description="Annotated input Image(s)",
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),
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]
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type_hint=Union[Image.Image, List[Image.Image]],
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required=True,
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description="Image(s) to annotate",
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metadata={"mellon":"image"},
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),
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InputParam(
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"annotation_task",
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type_hint=Union[str, List[str]],
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default="<REFERRING_EXPRESSION_SEGMENTATION>",
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metadata={"mellon":"dropdown"},
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description="""Annotation Task to perform on the image.
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Supported Tasks:
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"annotation_prompt",
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type_hint=Union[str, List[str]],
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required=True,
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metadata={"mellon":"textbox"},
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description="""Annotation Prompt to provide more context to the task.
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Can be used to detect or segment out specific elements in the image
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""",
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"annotation_output_type",
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type_hint=str,
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default="mask_image",
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metadata={"mellon":"dropbox"},
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description="""Output type from annotation predictions. Availabe options are
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annotation:
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- raw annotation predictions from the model based on task type.
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required=True,
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default=False,
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description="",
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metadata={"mellon":"checkbox"},
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),
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InputParam(
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"fill",
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"images",
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type_hint=Image,
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description="Annotated input Image(s)",
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metadata={"mellon":"image"},
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),
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]
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