Crafter
CRAFT text detection with ONNX Runtime
Based on the craft-text-detector. See also the source of the fork here.
Installation
$ pip install crafter
Usage
from crafter import Crafter
crafter = Crafter()
prediction = crafter('crafter/test/resources/idcard2.jpg')
for p1, p2, p3, p4 in prediction['boxes']:
print(p1, p2, p3, p4)
Developing
$ pip install .
$ pip install onnx git@github.com:innodatalabs/craft-text-detector.git pytest
To download Pytorch weights and convert to ONNX, run this (once):
$ python convert/craftnet.py
$ python convert/refinenet.py
This will (re-)create the ONNX files in crafter/resources.
Testing
$ PYTHONPATH+. pytest
Building
$ make
1 maintainer
Metadata
1 maintainer
Release files for pycrafter 0.0.7
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| File | Interpreter | ABI | Platform | Actions Reset |
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| pycrafter-0.0.7-py3-none-any.whl | Python 3 | none | any | Details for pycrafter-0.0.7-py3-none-any.whl |
Release files / pycrafter-0.0.7-py3-none-any.whl
| Download URL | pycrafter-0.0.7-py3-none-any.whl |
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| Size | 78.9 MB |
| Tags | Python 3 |
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