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Modernize installation process. #2870

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2d251b1
Modernize installation process.
hameerabbasi Feb 20, 2026
25941c4
Replace `np.int` with `int`.
hameerabbasi Feb 20, 2026
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2 changes: 2 additions & 0 deletions .gitattributes
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# SCM syntax highlighting & preventing 3-way merges
pixi.lock merge=binary linguist-language=YAML linguist-generated=true -diff
965 changes: 965 additions & 0 deletions pixi.lock
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14 changes: 14 additions & 0 deletions pixi.toml
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[workspace]
authors = ["Hameer Abbasi <2190658+hameerabbasi@users.noreply.github.com>"]
channels = ["conda-forge"]
name = "insightface"
platforms = ["osx-arm64"]
version = "0.1.0"

[tasks]

[dependencies]
python = "<3.14"

[pypi-dependencies]
insightface = { path = "./python-package", editable = true}
11 changes: 11 additions & 0 deletions python-package/MANIFEST.in
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# Images
include insightface/data/images/*.jpg
include insightface/data/images/*.png

# Mesh
include insightface/thirdparty/face3d/mesh/cython/*.h
include insightface/thirdparty/face3d/mesh/cython/*.c
include insightface/thirdparty/face3d/mesh/cython/*.py*

# Objects
include insightface/data/objects/*.pkl
4 changes: 1 addition & 3 deletions python-package/insightface/app/mask_renderer.py
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Expand Up @@ -164,7 +164,7 @@ def decode_params(params):
p4 = params[232:235]
p4 = np.array(p4, dtype=np.float32).reshape( (-1, 1))
return p0, p1, p2, p3, p4

class MaskAugmentation(ImageOnlyTransform):

def __init__(
Expand Down Expand Up @@ -228,5 +228,3 @@ def get_transform_init_args_names(self):
mask_out = tool.render_mask(image, 'mask_blue', params)# use single thread to test the time cost

cv2.imwrite('output_mask.jpg', mask_out)


4 changes: 2 additions & 2 deletions python-package/insightface/model_zoo/scrfd.py
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Expand Up @@ -335,12 +335,12 @@ def scrfd_2p5gkps(**kwargs):
print(kpss.shape)
for i in range(bboxes.shape[0]):
bbox = bboxes[i]
x1,y1,x2,y2,score = bbox.astype(np.int)
x1,y1,x2,y2,score = bbox.astype(int)
cv2.rectangle(img, (x1,y1) , (x2,y2) , (255,0,0) , 2)
if kpss is not None:
kps = kpss[i]
for kp in kps:
kp = kp.astype(np.int)
kp = kp.astype(int)
cv2.circle(img, tuple(kp) , 1, (0,0,255) , 2)
filename = img_path.split('/')[-1]
print('output:', filename)
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