tf-serving 0.1.6

Client for OCR predictions against TensorFlow Serving

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')