def load_meta_data(cfg): """ Set the meta directories: |--self._opt.output_dir: |--models: |--self._opt.model_id: |--opt_train.txt or opt_test.txt Returns: meta_data (EasyDict): the meta directories, it contains the followings: --checkpoints_dir: """ output_dir = cfg.output_dir meta_data = EasyDict() meta_data["checkpoints_dir"] = mkdir( os.path.join(output_dir, "models", cfg.model_id)) meta_data["personalized_ckpt_path"] = os.path.join( meta_data["checkpoints_dir"], "personalized.pth") meta_data["root_primitives_dir"] = mkdir( os.path.join(cfg.output_dir, "primitives")) meta_data["opt_path"] = os.path.join(meta_data["checkpoints_dir"], "opts.txt") if "src_path" in cfg: src_inputs = parse_src_input(cfg.src_path) root_primitives_dir = meta_data["root_primitives_dir"] meta_src = [] for meta_inp in src_inputs: meta_proc = MetaProcess(meta_inp, root_primitives_dir) meta_src.append(meta_proc) meta_data["meta_src"] = meta_src if "ref_path" in cfg: ref_inputs = parse_ref_input(cfg.ref_path) root_primitives_dir = meta_data["root_primitives_dir"] meta_ref = [] for meta_inp in ref_inputs: meta_proc = MetaProcess(meta_inp, root_primitives_dir) meta_ref.append(meta_proc) meta_data["meta_ref"] = meta_ref return meta_data
def test_10_parse_src_missing_value(self): src_input = "/path1,bg_path?=|" \ "/path2,bg_path?=/bg_path2" src_meta_gt = [ meta_info.SrcMetaInputInfo(path="/path1"), meta_info.SrcMetaInputInfo(path="/path2", bg_path="/bg_path2") ] src_meta_parse = meta_info.parse_src_input(src_input) for meta_gt, meta_parse in zip(src_meta_gt, src_meta_parse): print(meta_gt) print(meta_parse) self.assertEqual(meta_gt == meta_parse, True)
def test_08_parse_src_only_path(self): src_input = "/path1|" \ "/path2" src_meta_gt = [ meta_info.SrcMetaInputInfo(path="/path1"), meta_info.SrcMetaInputInfo(path="/path2") ] src_meta_parse = meta_info.parse_src_input(src_input) for meta_gt, meta_parse in zip(src_meta_gt, src_meta_parse): print(meta_gt) print(meta_parse) self.assertEqual(meta_gt == meta_parse, True)