示例#1
0
    def __getitem__(self, idx):
        name = self.img_name_list[idx]
        name_str = decode_int_filename(name)

        img = imageio.imread(get_img_path(name_str, self.voc12_root))

        ms_img_list = []
        for s in self.scales:
            if s == 1:
                s_img = img
            else:
                s_img = imutils.pil_rescale(img, s, order=3)
            s_img = self.img_normal(s_img)
            s_img = imutils.HWC_to_CHW(s_img)
            ms_img_list.append(np.stack([s_img, np.flip(s_img, -1)], axis=0))
        if len(self.scales) == 1:
            ms_img_list = ms_img_list[0]

        out = {
            "name": name_str,
            "img": ms_img_list,
            "size": (img.shape[0], img.shape[1]),
            "label": torch.from_numpy(self.label_list[idx])
        }
        return out
示例#2
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    def __getitem__(self, idx):
        name = self.img_name_list[idx]
        name_str = decode_int_filename(name)

        img = imageio.imread(get_img_path(name_str, self.voc12_root))
        label = imageio.imread(os.path.join(self.label_dir, name_str + '.png'))

        img = np.asarray(img)

        if self.rescale:
            img, label = imutils.random_scale((img, label),
                                              scale_range=self.rescale,
                                              order=(3, 0))

        if self.img_normal:
            img = self.img_normal(img)

        if self.hor_flip:
            img, label = imutils.random_lr_flip((img, label))

        if self.crop_method == "random":
            img, label = imutils.random_crop((img, label), self.crop_size,
                                             (0, 255))
        else:
            img = imutils.top_left_crop(img, self.crop_size, 0)
            label = imutils.top_left_crop(label, self.crop_size, 255)

        img = imutils.HWC_to_CHW(img)

        return {'name': name, 'img': img, 'label': label}
示例#3
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    def __getitem__(self, idx):
        name = self.img_name_list[idx]
        name_str = decode_int_filename(name)

        img = np.asarray(
            imageio.imread(get_img_path(name_str, self.voc12_root)))

        if self.resize_long:
            img = imutils.random_resize_long(img, self.resize_long[0],
                                             self.resize_long[1])

        if self.rescale:
            img = imutils.random_scale(img, scale_range=self.rescale, order=3)

        if self.img_normal:
            img = self.img_normal(img)

        if self.hor_flip:
            img = imutils.random_lr_flip(img)

        if self.crop_size:
            if self.crop_method == "random":
                img = imutils.random_crop(img, self.crop_size, 0)
            else:
                img = imutils.top_left_crop(img, self.crop_size, 0)

        if self.to_torch:
            img = imutils.HWC_to_CHW(img)

        return {'name': name_str, 'img': img}