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Update run_keras_server.py #8

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9 changes: 6 additions & 3 deletions run_keras_server.py
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Original file line number Diff line number Diff line change
Expand Up @@ -11,6 +11,7 @@
from keras.preprocessing.image import img_to_array
from keras.applications import imagenet_utils
from PIL import Image
import tensorflow as tf
import numpy as np
import flask
import io
Expand All @@ -23,8 +24,9 @@ def load_model():
# load the pre-trained Keras model (here we are using a model
# pre-trained on ImageNet and provided by Keras, but you can
# substitute in your own networks just as easily)
global model
global model, graph
model = ResNet50(weights="imagenet")
graph = tf.get_default_graph()

def prepare_image(image, target):
# if the image mode is not RGB, convert it
Expand Down Expand Up @@ -58,7 +60,8 @@ def predict():

# classify the input image and then initialize the list
# of predictions to return to the client
preds = model.predict(image)
with graph.as_default():
preds = model.predict(image)
results = imagenet_utils.decode_predictions(preds)
data["predictions"] = []

Expand All @@ -80,4 +83,4 @@ def predict():
print(("* Loading Keras model and Flask starting server..."
"please wait until server has fully started"))
load_model()
app.run()
app.run()