diff options
author | Gustaf Rydholm <gustaf.rydholm@gmail.com> | 2021-03-20 18:09:06 +0100 |
---|---|---|
committer | Gustaf Rydholm <gustaf.rydholm@gmail.com> | 2021-03-20 18:09:06 +0100 |
commit | 7e8e54e84c63171e748bbf09516fd517e6821ace (patch) | |
tree | 996093f75a5d488dddf7ea1f159ed343a561ef89 /text_recognizer/line_predictor.py | |
parent | b0719d84138b6bbe5f04a4982dfca673aea1a368 (diff) |
Inital commit for refactoring to lightning
Diffstat (limited to 'text_recognizer/line_predictor.py')
-rw-r--r-- | text_recognizer/line_predictor.py | 28 |
1 files changed, 28 insertions, 0 deletions
diff --git a/text_recognizer/line_predictor.py b/text_recognizer/line_predictor.py new file mode 100644 index 0000000..8e348fe --- /dev/null +++ b/text_recognizer/line_predictor.py @@ -0,0 +1,28 @@ +"""LinePredictor class.""" +import importlib +from typing import Tuple, Union + +import numpy as np +from torch import nn + +from text_recognizer import datasets, networks +from text_recognizer.models import TransformerModel +from text_recognizer.util import read_image + + +class LinePredictor: + """Given an image of a line of handwritten text, recognizes the text content.""" + + def __init__(self, dataset: str, network_fn: str) -> None: + network_fn = getattr(networks, network_fn) + dataset = getattr(datasets, dataset) + self.model = TransformerModel(network_fn=network_fn, dataset=dataset) + self.model.eval() + + def predict(self, image_or_filename: Union[np.ndarray, str]) -> Tuple[str, float]: + """Predict on a single images contianing a handwritten character.""" + if isinstance(image_or_filename, str): + image = read_image(image_or_filename, grayscale=True) + else: + image = image_or_filename + return self.model.predict_on_image(image) |