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"""CharacterPredictor class."""
from typing import Dict, Tuple, Type, Union
import numpy as np
from torch import nn
from text_recognizer import datasets, networks
from text_recognizer.models import CharacterModel
from text_recognizer.util import read_image
class CharacterPredictor:
"""Recognizes the character in handwritten character images."""
def __init__(self, network_fn: str, dataset: str) -> None:
"""Intializes the CharacterModel and load the pretrained weights."""
network_fn = getattr(networks, network_fn)
dataset = getattr(datasets, dataset)
self.model = CharacterModel(network_fn=network_fn, dataset=dataset)
self.model.eval()
self.model.use_swa_model()
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)
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