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\newcommand{\bSigma}{\boldsymbol{\Sigma}} \newcommand{\tup}[1]{\langle#1\rangle}$$

$ git clone git@github.com:duckietown/challenge-aido_LF-template-tensorflow.git

$ cd challenge-aido_LF-template-tensorflow

$ dts challenges submit --challenge CHALLENGE_NAME

$ dts challenges evaluate --challenge CHALLENGE_NAME

$ dts challenges follow --submission SUBMISSION_NUMBER

from model import TfInference
    # define observation and output shapes
    self.model = TfInference(observation_shape=(1,) + expect_shape,
                                 # this is the shape of the image we get.
                                 action_shape=(1, 2),  # we need to output v, omega.
                                 graph_location='tf_models/')  # this is the folder where our models are stored.
    self.current_image = np.zeros(expect_shape)

def compute_action(self, observation):
        action = self.model.predict(observation)
        return action.astype(float)

tf_models/
model.py