update relative path

Author: chen0040

demo/cifar10_tensorflow_classifier.py

@@ -6,7 +6,7 @@
 
 def main():
 
-    current_dir = os.path.join(os.path.dirname(__file__))
+    current_dir = os.path.dirname(__file__)
     (Xtrain, Ytrain), (Xtest, Ytest) = cifar10.load_data()
 
     Xtest = Xtest.astype('float32') / 255

demo/cifar10_tensorflow_export_pb.py

@@ -6,7 +6,7 @@ def main():
     sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
     from keras_image_classifier.library.cifar10_classifier import Cifar10Classifier
 
-    current_dir = os.path.join(os.path.dirname(__file__))
+    current_dir = os.path.dirname(__file__)
 
     classifier = Cifar10Classifier()
     classifier.load_model(os.path.join(current_dir, 'models'))

demo/cnn_bi_classifier_explore.py

@@ -1,7 +1,7 @@
 from keras.preprocessing.image import load_img, img_to_array
 import os
 
-current_dir = os.path.join(os.path.dirname(__file__))
+current_dir = os.path.dirname(__file__)
 img = load_img(current_dir + '/bi_classifier_data/training/cat/cat.0.jpg')
 x = img_to_array(img)
 print(x.shape)

demo/cnn_bi_classifier_predict.py

@@ -4,7 +4,7 @@
 import numpy as np
 import os
 
-current_dir = os.path.join(os.path.dirname(__file__))
+current_dir = os.path.dirname(__file__)
 
 json = open(current_dir + '/models/cnn_bi_classifier_architecture.json', 'r').read()
 

demo/cnn_bi_classifier_resize_img.py

@@ -2,7 +2,7 @@
 import os
 from os import path
 
-current_dir = os.path.join(os.path.dirname(__file__))
+current_dir = os.path.dirname(__file__)
 
 train_data_dir = current_dir + '/bi_classifier_data/training'
 validation_data_dir = current_dir + '/bi_classifier_data/validation'

demo/cnn_bi_classifier_train.py

@@ -8,7 +8,7 @@
 def main():
     img_width, img_height = 150, 150
 
-    current_dir = os.path.join(os.path.dirname(__file__))
+    current_dir = os.path.dirname(__file__)
 
     train_data_dir = current_dir + '/bi_classifier_data/training'
     validation_data_dir = current_dir + '/bi_classifier_data/validation'

demo/cnn_cifar10_predict.py

@@ -6,7 +6,7 @@
 from keras.utils import np_utils
 
 # load and configure the cifar19 classifier model
-current_dir = os.path.join(os.path.dirname(__file__))
+current_dir = os.path.dirname(__file__)
 
 cifar10_model = model_from_json(
     open(os.path.join(current_dir, 'models', 'cnn_cifar10_architecture.json')).read())

demo/cnn_cifar10_train.py

@@ -12,7 +12,7 @@ def main():
     batch_size = 128
     epochs = 20
     nb_classes = 10
-    current_dir = os.path.join(os.path.dirname(__file__))
+    current_dir = os.path.dirname(__file__)
 
     output_dir_path = os.path.join(current_dir, 'models')
 

demo/cnn_vgg16_predict.py

@@ -19,7 +19,7 @@ def predict(filename):
     print(output)
 
 
-current_dir = os.path.join(os.path.dirname(__file__))
+current_dir = os.path.dirname(__file__)
 
 for i in range(100):
     predict(current_dir + '/bi_classifier_data/training/cat/cat.' + str(i) + '.jpg')

demo/cnn_vgg19_predict.py

@@ -21,6 +21,6 @@ def predict(filename):
 
 
 for i in range(100):
-    current_dir = os.path.join(os.path.dirname(__file__))
+    current_dir = os.path.dirname(__file__)
     predict(current_dir + '/bi_classifier_data/training/cat/cat.' + str(i) + '.jpg')
     predict(current_dir + '/bi_classifier_data/training/dog/dog.' + str(i) + '.jpg')