def read_batches(batch_size):
g = gen.generate_ims()
def gen_vecs():
for im, c, p in itertools.islice(g, batch_size):
yield im.reshape([1,64,128]), code_to_vec(p, c)
while True:
yield unzip(gen_vecs())
def read_batches(batch_size):
g = gen.generate_ims()
def gen_vecs():
for im, c, p in itertools.islice(g, batch_size):
yield im, code_to_vec(p, c)
while True:
yield unzip(gen_vecs())
def read_batches(batch_size):
g = gen.generate_ims()
def gen_vecs():
for im, s, p in itertools.islice(g, batch_size):
yield im, data_to_vector(p, s)
while True:
yield unzip(gen_vecs())
def read_batches(batch_size):
# get the images generator
g = gen.generate_ims()
def gen_vecs():
for im, c, p in itertools.islice(g, batch_size):
yield im, code_to_vec(p, c)
while True:
yield unzip(gen_vecs())
def gen_vecs():
for im, c, p in gen.generate_ims(batch_size):
yield im, code_to_vec(p, c)
def gen_vecs():
for img, code in itertools.islice(gen.generate_ims(), batch_size):
# print(code,model.code_to_vec(code))
yield img, model.code_to_vec(code)
def gen_vecs():
for im, c, p in gen.generate_ims(batch_size):
yield im, code_to_vec(c)
