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import keras | |
from keras.applications.vgg16 import VGG16 | |
from keras.applications.vgg16 import preprocess_input, decode_predictions | |
from keras.preprocessing import image | |
import keras.backend as K | |
import tensorflow as tf | |
from tensorflow.python.framework import ops | |
import numpy as np |
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from keras.applications.resnet50 import ResNet50 | |
from keras.applications.resnet50 import preprocess_input, decode_predictions | |
from keras.applications.inception_v3 import InceptionV3 | |
from keras.applications.inception_v3 import preprocess_input, decode_predictions | |
from keras.preprocessing import image | |
import keras.backend as K | |
import numpy as np |
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from keras.applications.resnet50 import ResNet50 | |
from keras.applications.resnet50 import preprocess_input, decode_predictions | |
from keras.preprocessing import image | |
import keras.backend as K | |
import numpy as np | |
import cv2 | |
def load_image(path, target_size=(224, 224)): |
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module Jekyll | |
class TagIndex < Page | |
def initialize(site, base, dir, tag) | |
@site = site | |
@base = base | |
@dir = dir | |
@name = 'index.html' | |
self.process(@name) | |
self.read_yaml(File.join(base, '_layouts'), 'tag_index.html') | |
self.data['tag'] = tag |