From 46a1472d33d3a4180798492e819f2ec02bc3b1a3 Mon Sep 17 00:00:00 2001
From: Gustaf Rydholm <gustaf.rydholm@gmail.com>
Date: Sun, 28 Mar 2021 22:02:24 +0200
Subject: Add refactor of iam lines

---
 text_recognizer/util.py | 52 -------------------------------------------------
 1 file changed, 52 deletions(-)
 delete mode 100644 text_recognizer/util.py

(limited to 'text_recognizer/util.py')

diff --git a/text_recognizer/util.py b/text_recognizer/util.py
deleted file mode 100644
index b431e22..0000000
--- a/text_recognizer/util.py
+++ /dev/null
@@ -1,52 +0,0 @@
-"""Utility functions for text_recognizer module."""
-import os
-from pathlib import Path
-from typing import Union
-from urllib.request import urlopen
-
-import cv2
-import numpy as np
-
-
-def read_image(image_uri: Union[Path, str], grayscale: bool = False) -> np.ndarray:
-    """Read image_uri."""
-
-    def read_image_from_filename(image_filename: str, imread_flag: int) -> np.ndarray:
-        return cv2.imread(str(image_filename), imread_flag)
-
-    def read_image_from_url(image_url: str, imread_flag: int) -> np.ndarray:
-        if image_url.lower().startswith("http"):
-            url_response = urlopen(str(image_url))
-            image_array = np.array(bytearray(url_response.read()), dtype=np.uint8)
-            return cv2.imdecode(image_array, imread_flag)
-        else:
-            raise ValueError(
-                "Url does not start with http, therefore not safe to open..."
-            ) from None
-
-    imread_flag = cv2.IMREAD_GRAYSCALE if grayscale else cv2.IMREAD_COLOR
-    local_file = os.path.exists(image_uri)
-    image = None
-
-    if local_file:
-        image = read_image_from_filename(image_uri, imread_flag)
-    else:
-        image = read_image_from_url(image_uri, imread_flag)
-
-    if image is None:
-        raise ValueError(f"Could not load image at {image_uri}")
-
-    return image
-
-
-def rescale_image(image: np.ndarray) -> np.ndarray:
-    """Rescale image from [0, 1] to [0, 255]."""
-    if image.max() <= 1.0:
-        image = 255 * (image - image.min()) / (image.max() - image.min())
-    return image
-
-
-def write_image(image: np.ndarray, filename: Union[Path, str]) -> None:
-    """Write image to file."""
-    image = rescale_image(image)
-    cv2.imwrite(str(filename), image)
-- 
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