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let keras do pre/post processing in test_inference.py #12

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let keras do pre/post processing in test_inference.py #12

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11 changes: 7 additions & 4 deletions test_inference.py
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Original file line number Diff line number Diff line change
@@ -1,15 +1,17 @@
"""Test ImageNet pretrained DenseNet"""

import cv2
import numpy as np
from keras.optimizers import SGD
import keras.backend as K

# We only test DenseNet-121 in this script for demo purpose
from densenet121 import DenseNet

im = cv2.resize(cv2.imread('resources/cat.jpg'), (224, 224)).astype(np.float32)
#im = cv2.resize(cv2.imread('shark.jpg'), (224, 224)).astype(np.float32)
from keras.preprocessing import image
from keras.applications.imagenet_utils import decode_predictions

im = image.load_img('resources/cat.jpg', target_size=(224, 224))
im = image.img_to_array(im)

# Subtract mean pixel and multiple by scaling constant
# Reference: https://github.com/shicai/DenseNet-Caffe
Expand Down Expand Up @@ -44,4 +46,5 @@
for line in list_:
classes.append(line.rstrip('\n'))

print 'Prediction: '+str(classes[np.argmax(out)])
print('Prediction: '+str(classes[np.argmax(out)]))
print('Predicted:', decode_predictions(out))