Spatial Transformer Network

The Spatial Transformer Network [1] allows the spatial manipulation of data within the network.

API

A Spatial Transformer Network implemented in Tensorflow 1.0 and based on [2].

How to use

transformer(U, theta, out_size)

#### Parameters U : float The output of a convolutional net should have the shape [num_batch, height, width, num_channels]. theta: float The output of the localisation network should be [num_batch, 6]. out_size: tuple of two ints The size of the output of the network #### Notes To initialize the network to the identity transform init ``theta`` to :

identity = np.array([[1., 0., 0.],
                    [0., 1., 0.]]) identity = identity.flatten()theta = tf.Variable(initial_value=identity)

#### Experiments

We used cluttered MNIST. Left column are the input images, right are the attended parts of the image by an STN.

All experiments were run in Tensorflow 0.7.

References

[1] Jaderberg, Max, et al. "Spatial Transformer Networks." arXiv preprint arXiv:1506.02025 (2015)

[2] https://github.com/skaae/transformer_network/blob/master/transformerlayer.py

链接：https://github.com/tensorflow/models/tree/master/research/transformer