from fuel.transformers import Transformer, Filter, Mapping
import numpy
import theano
import random
def at_least_k(k, pl, pad_at_begin):
if len(pl) == 0:
pl = [[ -8.61612, 41.1573]]
if len(pl) < k:
if pad_at_begin:
pl = [pl[0]] * (k - len(pl)) + pl
else:
pl = pl + [pl[-1]] * (k - len(pl))
return pl
class Select(Transformer):
def __init__(self, data_stream, sources):
super(Select, self).__init__(data_stream)
self.ids = [data_stream.sources.index(source) for source in sources]
self.sources=sources
def get_data(self, request=None):
if request is not None:
raise ValueError
data=next(self.child_epoch_iterator)
return [data[id] for id in self.ids]
def add_first_k(k, stream):
id_polyline=stream.sources.index('polyline')
def first_k(x):
pl = at_least_k(k, x[id_polyline], False)
return (numpy.array(pl[:k], dtype=theano.config.floatX).flatten(),)
stream = Mapping(stream, first_k, ('first_k',))
return stream
def add_random_k(k, stream):
id_polyline=stream.sources.index('polyline')
def random_k(x):
pl = at_least_k(k, x[id_polyline], True)
loc = random.randrange(len(pl)-k+1)
return (numpy.array(pl[loc:loc+k], dtype=theano.config.floatX).flatten(),)
stream = Mapping(stream, random_k, ('last_k',))
return stream
def add_last_k(k, stream):
id_polyline=stream.sources.index('polyline')
def last_k(x):
pl = at_least_k(k, x[id_polyline], True)
return (numpy.array(pl[-k:], dtype=theano.config.floatX).flatten(),)
stream = Mapping(stream, last_k, ('last_k',))
return stream
def add_destination(stream):
id_polyline=stream.sources.index('polyline')
return Mapping(stream,
lambda x:
(numpy.array(at_least_k(1, x[id_polyline], True)[-1], dtype=theano.config.floatX),),
('destination',))
def concat_destination_xy(stream):
id_dx=stream.sources.index('destination_x')
id_dy=stream.sources.index('destination_y')
return Mapping(stream, lambda x: (numpy.array([x[id_dx], x[id_dy]], dtype=theano.config.floatX),), ('destination',))
