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Add SAM2 models and AI Batch Mode #1493

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Add SAM2 models and AI Batch Mode #1493

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a9cd20b
Add SAM2 models
jakep72 Sep 3, 2024
21bcb12
update readme
jakep72 Sep 4, 2024
5601af4
pull onnx models from github release
jakep72 Sep 4, 2024
4c4fd62
pull models from release
jakep72 Sep 10, 2024
a0eb59d
remove opencv dependency
jakep72 Sep 10, 2024
b2172c5
revert contour selection method
jakep72 Sep 11, 2024
bfb980c
revert readme additions
jakep72 Sep 11, 2024
b595c8b
Merge branch 'main' into main
jakep72 Sep 22, 2024
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28 changes: 28 additions & 0 deletions labelme/ai/__init__.py
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Original file line number Diff line number Diff line change
@@ -1,6 +1,7 @@
import gdown

from .efficient_sam import EfficientSam
from .segment_anything2_model import SegmentAnything2Model
from .segment_anything_model import SegmentAnythingModel
from .text_to_annotation import get_rectangles_from_texts # NOQA: F401
from .text_to_annotation import get_shapes_from_annotations # NOQA: F401
Expand Down Expand Up @@ -86,11 +87,38 @@ def __init__(self):
),
)

class SAM2HieraL(SegmentAnything2Model):
name = "SegmentAnything2 (accuracy)"

def __init__(self):
super().__init__(
encoder_path=gdown.cached_download(
url="https://github.com/jakep72/labelme/releases/download/SAM2/sam2_large.encoder.onnx", # NOQA
),
decoder_path=gdown.cached_download(
url="https://github.com/jakep72/labelme/releases/download/SAM2/sam2_large.decoder.onnx" # NOQA
),
)

class SAM2HieraT(SegmentAnything2Model):
name = "SegmentAnything2 (speed)"

def __init__(self):
super().__init__(
encoder_path=gdown.cached_download(
url="https://github.com/jakep72/labelme/releases/download/SAM2/sam2_hiera_tiny.encoder.onnx" # NOQA
),
decoder_path=gdown.cached_download(
url="https://github.com/jakep72/labelme/releases/download/SAM2/sam2_hiera_tiny.decoder.onnx" # NOQA
),
)

MODELS = [
SegmentAnythingModelVitB,
SegmentAnythingModelVitL,
SegmentAnythingModelVitH,
EfficientSamVitT,
EfficientSamVitS,
SAM2HieraT,
SAM2HieraL
]
3 changes: 1 addition & 2 deletions labelme/ai/_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -10,13 +10,12 @@ def _get_contour_length(contour):
contour_end = np.r_[contour[1:], contour[0:1]]
return np.linalg.norm(contour_end - contour_start, axis=1).sum()


def compute_polygon_from_mask(mask):
contours = skimage.measure.find_contours(np.pad(mask, pad_width=1))
if len(contours) == 0:
logger.warning("No contour found, so returning empty polygon.")
return np.empty((0, 2), dtype=np.float32)

contour = max(contours, key=_get_contour_length)
POLYGON_APPROX_TOLERANCE = 0.004
polygon = skimage.measure.approximate_polygon(
Expand Down
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