TensorFlow Serving Client
Client for OCR predictions against TensorFlow Serving
pip install tf-serving
Model
The served model must return the following schema:
{
preds: StringTensor[BATCH x TOP_PATHS],
logprobs: FloatTensor[BATCH x TOP_PATHS]
}
Usage
from tf.serving import predict, encode64
with open('path/to/image.jpg', 'rb') as f:
img = encode64(f.read())
await predict([img], host='http://localhost', port=8501, endpoint='/v1/models/ocr:predict')
# Right(value=[ImagePreds(preds=['Place', 'Piace', ...], logprobs=[-0.187645972, -2.03857613, ...])], tag='right')
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