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Tools for classifying the direction of images containing text based ONNXRuntime.

Project description

rapid-orientation

PyPI

1. Install package by pypi.

$ pip install rapid-orientation

2. Run by script.

  • RapidOrientation has the default model_path value, you can set the different value of model_path to use different models, e.g. orientation_engine = RapidOrientation(model_path='rapid_orientation.onnx')
  • See details, for README_Layout .
  • 📌 layout.png source: link
from rapid_orientation import RapidOrientation

orientation_engine = RapidOrientation()

with open('test_images/layout.png', 'rb') as f:
    img = f.read()
orientation_res, elapse = orientation_engine(img)
print(orientation_res)

3. Run by command line.

  • Usage:
    $ rapid_orientation -h
    usage: rapid_orientation [-h] -img IMG_PATH [-m MODEL_PATH]
    
    optional arguments:
    -h, --help            show this help message and exit
    -img IMG_PATH, --img_path IMG_PATH
                        Path to image for layout.
    -m MODEL_PATH, --model_path MODEL_PATH
                        The model path used for inference
    
  • Example:
    $ rapid_orientation -img layout.png
    

4. Result.

# Return str, four types::0 | 90 | 180 | 270

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