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Migrate to NumPy 2.x.x and raise minimum Python version to 3.10 #403

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Migrate to NumPy 2.x.x and raise minimum Python version to 3.10 #403

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1712887
migrate to numpy 2.x.x
muhammad-fiaz Jan 12, 2026
2e431e5
Merge branch 'facebookresearch:main' into main
muhammad-fiaz Feb 19, 2026
0343554
Merge branch 'facebookresearch:main' into main
muhammad-fiaz Feb 25, 2026
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11 changes: 7 additions & 4 deletions pyproject.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,7 @@ name = "sam3"
dynamic = ["version"]
description = "SAM3 (Segment Anything Model 3) implementation"
readme = "README.md"
requires-python = ">=3.8"
requires-python = ">=3.10"
license = {file = "LICENSE"}
authors = [
{name = "Meta AI Research"}
Expand All @@ -17,16 +17,16 @@ classifiers = [
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Programming Language :: Python :: 3.14",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
"timm>=1.0.17",
"numpy>=1.26,<2",
"numpy>=1.26",
"tqdm",
"ftfy==6.1.1",
"regex",
Expand Down Expand Up @@ -107,6 +107,9 @@ first_party_detection = false
[tool.ufmt]
formatter = "ruff-api"

[tool.ruff.lint]
select = ["NPY201"]

[tool.mypy]
python_version = "3.12"
warn_return_any = true
Expand Down
6 changes: 3 additions & 3 deletions sam3/agent/helpers/visualizer.py
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Expand Up @@ -224,22 +224,22 @@ def non_empty_mask(self):
assert len(empty_ids) == 1, (
">1 ids corresponds to no labels. This is currently not supported"
)
return (self._seg != empty_ids[0]).numpy().astype(np.bool)
return (self._seg != empty_ids[0]).numpy().astype(np.bool_)

def semantic_masks(self):
for sid in self._seg_ids:
sinfo = self._sinfo.get(sid)
if sinfo is None or sinfo["isthing"]:
# Some pixels (e.g. id 0 in PanopticFPN) have no instance or semantic predictions.
continue
yield (self._seg == sid).numpy().astype(np.bool), sinfo
yield (self._seg == sid).numpy().astype(np.bool_), sinfo

def instance_masks(self):
for sid in self._seg_ids:
sinfo = self._sinfo.get(sid)
if sinfo is None or not sinfo["isthing"]:
continue
mask = (self._seg == sid).numpy().astype(np.bool)
mask = (self._seg == sid).numpy().astype(np.bool_)
if mask.sum() > 0:
yield mask, sinfo

Expand Down
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