ImageRecognitionWebApp/main.py at main · SamWhittington/ImageRecognitionWebApp · GitHub

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from keras.preprocessing.image import load_img
from keras.preprocessing.image import img_to_array
from keras.applications.vgg16 import preprocess_input
from keras.applications.vgg16 import decode_predictions
from keras.applications.vgg16 import VGG16

def getPrediction(filename):

    model = VGG16()
    image = load_img('uploads/'+filename, target_size=(224, 224))
    image = img_to_array(image)
    image = image.reshape((1, image.shape[0], image.shape[1], image.shape[2]))
    image = preprocess_input(image)
    yhat = model.predict(image)
    label = decode_predictions(yhat)
    label = label[0][0]
    print('%s (%.2f%%)' % (label[1], label[2]*100))
    return label[1], label[2]*100