mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
Rename SegmentAnythingModel -> SegmentAnythingPipeline.
This commit is contained in:
parent
63581ec980
commit
b9dc3460ba
@ -13,7 +13,7 @@ from invokeai.app.invocations.fields import BoundingBoxField, ImageField, InputF
|
||||
from invokeai.app.invocations.primitives import MaskOutput
|
||||
from invokeai.app.services.shared.invocation_context import InvocationContext
|
||||
from invokeai.backend.image_util.segment_anything.mask_refinement import mask_to_polygon, polygon_to_mask
|
||||
from invokeai.backend.image_util.segment_anything.segment_anything_model import SegmentAnythingModel
|
||||
from invokeai.backend.image_util.segment_anything.segment_anything_pipeline import SegmentAnythingPipeline
|
||||
|
||||
SEGMENT_ANYTHING_MODEL_ID = "facebook/sam-vit-base"
|
||||
|
||||
@ -75,7 +75,7 @@ class SegmentAnythingModelInvocation(BaseInvocation):
|
||||
|
||||
sam_processor = AutoProcessor.from_pretrained(model_path, local_files_only=True)
|
||||
assert isinstance(sam_processor, SamProcessor)
|
||||
return SegmentAnythingModel(sam_model=sam_model, sam_processor=sam_processor)
|
||||
return SegmentAnythingPipeline(sam_model=sam_model, sam_processor=sam_processor)
|
||||
|
||||
def _segment(
|
||||
self,
|
||||
@ -91,7 +91,7 @@ class SegmentAnythingModelInvocation(BaseInvocation):
|
||||
source=SEGMENT_ANYTHING_MODEL_ID, loader=SegmentAnythingModelInvocation._load_sam_model
|
||||
) as sam_pipeline,
|
||||
):
|
||||
assert isinstance(sam_pipeline, SegmentAnythingModel)
|
||||
assert isinstance(sam_pipeline, SegmentAnythingPipeline)
|
||||
masks = sam_pipeline.segment(image=image, bounding_boxes=sam_bounding_boxes)
|
||||
|
||||
masks = self._process_masks(masks)
|
||||
|
@ -8,7 +8,7 @@ from transformers.models.sam.processing_sam import SamProcessor
|
||||
from invokeai.backend.raw_model import RawModel
|
||||
|
||||
|
||||
class SegmentAnythingModel(RawModel):
|
||||
class SegmentAnythingPipeline(RawModel):
|
||||
"""A wrapper class for the transformers SAM model and processor that makes it compatible with the model manager."""
|
||||
|
||||
def __init__(self, sam_model: SamModel, sam_processor: SamProcessor):
|
@ -12,7 +12,7 @@ from diffusers.schedulers.scheduling_utils import SchedulerMixin
|
||||
from transformers import CLIPTokenizer
|
||||
|
||||
from invokeai.backend.image_util.grounding_dino.grounding_dino_pipeline import GroundingDinoPipeline
|
||||
from invokeai.backend.image_util.segment_anything.segment_anything_model import SegmentAnythingModel
|
||||
from invokeai.backend.image_util.segment_anything.segment_anything_pipeline import SegmentAnythingPipeline
|
||||
from invokeai.backend.ip_adapter.ip_adapter import IPAdapter
|
||||
from invokeai.backend.lora import LoRAModelRaw
|
||||
from invokeai.backend.model_manager.config import AnyModel
|
||||
@ -44,7 +44,7 @@ def calc_model_size_by_data(logger: logging.Logger, model: AnyModel) -> int:
|
||||
LoRAModelRaw,
|
||||
SpandrelImageToImageModel,
|
||||
GroundingDinoPipeline,
|
||||
SegmentAnythingModel,
|
||||
SegmentAnythingPipeline,
|
||||
),
|
||||
):
|
||||
return model.calc_size()
|
||||
|
Loading…
Reference in New Issue
Block a user