Removing legacy code

1 files changed, 0 insertions, 29 deletions

diff --git a/text_recognizer/character_predictor.py b/text_recognizer/character_predictor.py
deleted file mode 100644
index ad71289..0000000
--- a/text_recognizer/character_predictor.py
+++ /dev/null
@@ -1,29 +0,0 @@
-"""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)