microwink
Lightweight instance segmentation of card IDs.
Usage
Python
pip install microwink
from microwink import SegModel
from microwink.common import draw_mask, draw_box
from PIL import Image
seg_model = SegModel.from_path("./models/seg_model.onnx")
img = Image.open("./assets/data/us_card.png").convert("RGB")
cards = seg_model.apply(img)
for card in cards:
print(f"score={card.score}, box={card.box}")
img = draw_box(img, card.box)
img = draw_mask(img, card.mask > 0.5)
img.save("./output.png")
License
Apache-2.0
1 maintainer
Metadata
1 maintainer
Release files for microwink 0.0.4
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| microwink-0.0.4.tar.gz | 17.9 MB | Without provenance | Details for microwink-0.0.4.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| microwink-0.0.4-py3-none-any.whl | Python 3 | none | any | Details for microwink-0.0.4-py3-none-any.whl |
Total release size: 17.9 MB
Release files / microwink-0.0.4.tar.gz
| Download URL | microwink-0.0.4.tar.gz |
|---|---|
| Size | 17.9 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.5.8
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Release files / microwink-0.0.4-py3-none-any.whl
| Download URL | microwink-0.0.4-py3-none-any.whl |
|---|---|
| Size | 9.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
6e4bfd668b71cede2763c0a10b5f93590a04d0c693efd0a38dc999ee59bfc6c0
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.5.8
|
Security for microwink 0.0.4
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