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fix(nodes): relaxed validation for segment anything #7253

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Nov 4, 2024
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fix(nodes): relaxed validation for segment anything #7253

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13 changes: 4 additions & 9 deletions invokeai/app/invocations/segment_anything.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,7 +5,7 @@
import numpy as np
import torch
from PIL import Image
from pydantic import BaseModel, Field, model_validator
from pydantic import BaseModel, Field
from transformers import AutoModelForMaskGeneration, AutoProcessor
from transformers.models.sam import SamModel
from transformers.models.sam.processing_sam import SamProcessor
Expand Down Expand Up @@ -77,19 +77,14 @@ class SegmentAnythingInvocation(BaseInvocation):
default="all",
)

@model_validator(mode="after")
def check_point_lists_or_bounding_box(self):
if self.point_lists is None and self.bounding_boxes is None:
raise ValueError("Either point_lists or bounding_box must be provided.")
elif self.point_lists is not None and self.bounding_boxes is not None:
raise ValueError("Only one of point_lists or bounding_box can be provided.")
return self

@torch.no_grad()
def invoke(self, context: InvocationContext) -> MaskOutput:
# The models expect a 3-channel RGB image.
image_pil = context.images.get_pil(self.image.image_name, mode="RGB")

if self.point_lists is not None and self.bounding_boxes is not None:
raise ValueError("Only one of point_lists or bounding_box can be provided.")

if (not self.bounding_boxes or len(self.bounding_boxes) == 0) and (
not self.point_lists or len(self.point_lists) == 0
):
Expand Down
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