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Merge pull request #161 from SthPhoenix/add_onnx_export
Add export to ONNX
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# import the necessary packages | ||
from tensorflow.keras.models import load_model, save_model | ||
import argparse | ||
import tf2onnx | ||
import onnx | ||
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def model2onnx(): | ||
# construct the argument parser and parse the arguments | ||
ap = argparse.ArgumentParser() | ||
ap.add_argument("-m", "--model", type=str, | ||
default="mask_detector.model", | ||
help="path to trained face mask detector model") | ||
ap.add_argument("-o", "--output", type=str, | ||
default='mask_detector.onnx', | ||
help="path to trained face mask detector model") | ||
args = vars(ap.parse_args()) | ||
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# load the face mask detector model from disk | ||
print("[INFO] loading face mask detector model...") | ||
model = load_model(args["model"]) | ||
onnx_model, _ = tf2onnx.convert.from_keras(model, opset=13) | ||
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onnx_model.graph.input[0].type.tensor_type.shape.dim[0].dim_param = '?' | ||
onnx_model.graph.output[0].type.tensor_type.shape.dim[0].dim_param = '?' | ||
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onnx.save(onnx_model, args['output']) | ||
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if __name__ == "__main__": | ||
model2onnx() |
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@@ -9,3 +9,5 @@ scipy==1.6.2 | |
scikit-learn==0.24.1 | ||
pillow>=8.3.2 | ||
streamlit==0.79.0 | ||
onnx==1.10.1 | ||
tf2onnx==1.9.3 |