blob: 8e348fef5ecaa2101e94abe3d65e2bdd569f5949 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
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)
|
