Ejemplo n.º 1
0
    def _iter_imgs_unordered(images_spec):
        if '*' in images_spec:
            matches = glob.glob(images_spec)
            _, ext = os.path.splitext(images_spec)
            if not ext:
                matches = (p for p in matches if has_image_ext(p))
            elif not has_image_ext(images_spec):
                raise ValueError(
                    'Unrecognized extension {} in glob ({})'.format(
                        ext, images_spec))
            if not matches:
                raise ValueError('No matches for glob {}'.format(images_spec))
            yield from matches
            return

        if has_image_ext(images_spec):
            yield from [images_spec]
            return

        # At this point, images_spec should be a path to a directory
        if not os.path.isdir(images_spec):
            raise NotADirectoryError(images_spec)

        print('Recursively traversing {}...'.format(images_spec))
        for root, _, fnames in os.walk(images_spec, followlinks=True):
            for fname in fnames:
                if has_image_ext(fname):
                    p = os.path.join(root, fname)
                    if os.path.getsize(p) == 0:
                        print('WARN / 0 bytes /', p)
                        continue
                    yield p
Ejemplo n.º 2
0
    def __init__(self,
                 root_dir_or_img,
                 max_imgs=None,
                 skip_hidden=False,
                 append_id=None):
        """
        :param root_dir_or_img: Either a directory with images or the path of a single image.
        :param max_imgs: If given, subsample deterministically to only contain max_imgs
        :param skip_hidden: If given, skip images starting with '.'
        :param append_id: If given, append `append_id` to self.id
        :raises ValueError if root_dir is not a directory or does not contain images
        """
        self.root_dir_or_img = root_dir_or_img

        if os.path.isdir(root_dir_or_img):
            root_dir = root_dir_or_img
            self.name = os.path.basename(root_dir.rstrip('/'))
            self.ps = sorted(p for p in os_ext.listdir_paths(root_dir)
                             if has_image_ext(p))
            if skip_hidden:
                self.ps = self._filter_hidden(self.ps)
            if max_imgs and max_imgs < len(self.ps):
                print('Subsampling to use {} imgs of {}...'.format(
                    max_imgs, self.name))
                idxs = np.linspace(0, len(self.ps) - 1, max_imgs, dtype=np.int)
                self.ps = np.array(self.ps)[idxs].tolist()
                assert len(self.ps) == max_imgs
            assert_exc(
                len(self.ps) > 0, 'No images found in {}'.format(root_dir),
                ValueError)
            self.id = '{}_{}'.format(self.name, len(self.ps))
            self._str = 'Testset({}): in {}, {} images'.format(
                self.name, root_dir, len(self.ps))
        else:
            img = root_dir_or_img
            assert_exc(os.path.isfile(img), 'Does not exist: {}'.format(img),
                       FileNotFoundError)
            self.name = os.path.basename(img)
            self.ps = [img]
            self.id = img
            self._str = 'Testset([{}]): 1 image'.format(self.name)
        if append_id:
            self.id += append_id