def distance_matrix(array1, array2):
"""
arguments:
array1: the array, size: (num_point, num_feature)
array2: the samples, size: (num_point, num_feature)
returns:
distances: each entry is the distance from a sample to array1
, it's size: (num_point, num_point)
"""
num_point, num_features = array1.shape
expanded_array1 = tf.tile(array1, (num_point, 1))
expanded_array2 = tf.reshape(
tf.tile(tf.expand_dims(array2, 1),
(1, num_point, 1)),
(-1, num_features))
distances = tf.norm(expanded_array1-expanded_array2, axis=1)
distances = tf.reshape(distances, (num_point, num_point))
return distances
def av_dist(array1, array2):
"""
arguments:
array1, array2: both size: (num_points, num_feature)
returns:
distances: size: (1,)
"""
distances = distance_matrix(array1, array2)
distances = tf.reduce_min(distances, axis=1)
distances = tf.reduce_mean(distances)
return distances
def av_dist_sum(arrays):
"""
arguments:
arrays: array1, array2
returns:
sum of av_dist(array1, array2) and av_dist(array2, array1)
"""
array1, array2 = arrays
av_dist1 = av_dist(array1, array2)
av_dist2 = av_dist(array2, array1)
return av_dist1+av_dist2
def chamfer_distance_tf(array1, array2):
batch_size, num_point, num_features = array1.shape
dist = tf.reduce_mean(
tf.map_fn(av_dist_sum, elems=(array1, array2), dtype=tf.float64)
)
return dist
Hi All,Is there an implementation for Chamfer loss or earth movers distance in tensorflow. Can anyone help me?
--
You received this message because you are subscribed to the Google Groups "TPU Users" group.
To unsubscribe from this group and stop receiving emails from it, send an email to tpu-users+...@tensorflow.org.
To view this discussion on the web visit https://groups.google.com/a/tensorflow.org/d/msgid/tpu-users/e867367b-e162-4e4e-adc6-5f281df9a4dbn%40tensorflow.org.
• • • • | Paige Bailey Product Manager (TensorFlow) @DynamicWebPaige |