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)