1.6 KiB
1.6 KiB
In [14]:
from keras.applications.vgg19 import VGG19 from keras.preprocessing import image from keras.applications.inception_v3 import preprocess_input from keras.models import Model import numpy as np # base_model = VGG19(weights='imagenet') # model = Model(inputs=base_model.input, outputs=base_model.get_layer('block4_pool').output) img_path = 'images/Achanthidium delmontii-!-Achnanthidium delmontii.JPG' img = image.load_img(img_path, target_size=(224, 224)) x = image.img_to_array(img) x = np.expand_dims(x, axis=0) x = preprocess_input(x) # block4_pool_features = model.predict(x)
In [15]:
x.min(), x.max()
Out[15]:
(-1.0, 1.0)