generator.py 文件源码

def generate(self, train=True):
        while True:
            if train:
                shuffle(self.train_keys)
                keys = self.train_keys
            else:
                shuffle(self.val_keys)
                keys = self.val_keys
            inputs = []
            targets = []
            for key in keys:
                img_path = self.path_prefix + key
                img = imread(img_path).astype('float32')
                y = self.gt[key].copy()
                if train and self.do_crop:
                    img, y = self.random_sized_crop(img, y)
                img = imresize(img, self.image_size).astype('float32')
                if train:
                    shuffle(self.color_jitter)
                    for jitter in self.color_jitter:
                        img = jitter(img)
                    if self.lighting_std:
                        img = self.lighting(img)
                    if self.hflip_prob > 0:
                        img, y = self.horizontal_flip(img, y)
                    if self.vflip_prob > 0:
                        img, y = self.vertical_flip(img, y)
                y = self.bbox_util.assign_boxes(y)
                inputs.append(img)
                targets.append(y)
                if len(targets) == self.batch_size:
                    tmp_inp = np.array(inputs)
                    tmp_targets = np.array(targets)
                    inputs = []
                    targets = []
                    yield preprocess_input(tmp_inp), tmp_targets