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from skimage.io import imread | |
from io import BytesIO | |
import numpy as np | |
import urllib | |
from tensorflow.keras.utils import array_to_img, img_to_array | |
from PIL import Image | |
def preprocess(img: np.ndarray) -> np.ndarray: | |
img = array_to_img(img, scale=False) | |
img = img.resize((224, 224)) | |
img = img_to_array(img) | |
return img / 255.0 | |
def handle_url(url: str) -> np.ndarray: | |
try: | |
img_data = imread(url) | |
except Exception: | |
req = urllib.request.Request(url, headers={"User-Agent": "Magic Browser"}) | |
con = urllib.request.urlopen(req) | |
img_data = imread(con) | |
processed_img = preprocess(img_data) | |
img_array = np.array([processed_img]) | |
return img_array | |
def read_imagefile(file): | |
file_bytes = BytesIO(file) | |
image = Image.open(file_bytes) | |
return image | |
def handle_file(file) -> np.ndarray: | |
img_data = read_imagefile(file) | |
processed_img = preprocess(img_data) | |
img_array = np.array([processed_img]) | |
return img_array | |