Method get

RecognizaitonNetwork/train/train.py:65–78

(self, batchsize)

        np.random.shuffle(self.range)
        self.index = 0
    def get(self, batchsize):
        r_n=[]
        if(self.index + batchsize > self.total):
            r_n_1 = self.range[self.index:self.total]
            np.random.shuffle(self.range)
            self.index = (self.index + batchsize) - self.total
            r_n_2 = self.range[0:self.index]
            r_n.extend(r_n_1)
            r_n.extend(r_n_2)
        else:
            r_n = self.range[self.index : self.index + batchsize]
            self.index = self.index + batchsize

        return r_n

def gen(data_file, image_path, batchsize=128, maxlabellength=10, imagesize=(32, 280)):
    image_label = readfile(data_file)