Python generate_ims Examples

Example #1

File: train.py Project: irbp/anpr_keras

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())

Example #2

File: train.py Project: KernelPanicAUS/deep-anpr

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())

Example #3

File: train.py Project: afilini/deep-anpr

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())

Example #4

File: train.py Project: aimreant/deep-anpr

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())

Example #5

File: train.py Project: GodBlessZhk/deep-anpr

 def gen_vecs():
     for im, c, p in gen.generate_ims(batch_size):
         yield im, code_to_vec(p, c)

Example #6

 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)

Example #7

 def gen_vecs():
     for im, c, p in gen.generate_ims(batch_size):
         yield im, code_to_vec(c)