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load img from web sorted
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@ -6,7 +6,6 @@ from pathlib import Path
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# 3rd party
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import numpy as np
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import cv2
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from PIL import Image
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import requests
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@ -36,11 +35,7 @@ def load_image(img: Union[str, np.ndarray]) -> Tuple[np.ndarray, str]:
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# The image is a url
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if img.startswith("http"):
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return (
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np.array(Image.open(requests.get(img, stream=True, timeout=60).raw).convert("BGR")),
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# return url as image name
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img,
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)
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return load_image_from_web(url=img), img
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# The image is a path
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if os.path.isfile(img) is not True:
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@ -57,6 +52,21 @@ def load_image(img: Union[str, np.ndarray]) -> Tuple[np.ndarray, str]:
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return img_obj_bgr, img
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def load_image_from_web(url: str) -> np.ndarray:
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"""
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Loading an image from web
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Args:
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url: link for the image
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Returns:
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img (np.ndarray): equivalent to pre-loaded image from opencv (BGR format)
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"""
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response = requests.get(url, stream=True, timeout=60)
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response.raise_for_status()
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image_array = np.asarray(bytearray(response.raw.read()), dtype=np.uint8)
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image = cv2.imdecode(image_array, cv2.IMREAD_COLOR)
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return image
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def load_base64(uri: str) -> np.ndarray:
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"""Load image from base64 string.
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