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Force usage of Theano's image ordering. #53

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Force usage of Theano's image ordering. #53

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3 changes: 3 additions & 0 deletions train_steering_model.py
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Expand Up @@ -8,6 +8,7 @@
from keras.models import Sequential
from keras.layers import Dense, Dropout, Flatten, Lambda, ELU
from keras.layers.convolutional import Convolution2D
from keras import backend as K

from server import client_generator

Expand Down Expand Up @@ -47,6 +48,8 @@ def get_model(time_len=1):


if __name__ == "__main__":
K.set_image_dim_ordering('th')

parser = argparse.ArgumentParser(description='Steering angle model trainer')
parser.add_argument('--host', type=str, default="localhost", help='Data server ip address.')
parser.add_argument('--port', type=int, default=5557, help='Port of server.')
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