def load_train_dev_test_annotations():
config_dir = get_config_dir()
if not DATA_6000:
data = load_json(os.path.join(config_dir, "annotation_results.json"))
return data["train"], data["dev"], data["test"]
else:
train_data = load_json(os.path.join(config_dir, "train_annotations_6000.json"))
dev_data = load_json(os.path.join(config_dir, "dev_annotations_6000.json"))
test_data = load_json(os.path.join(config_dir, "test_annotations_6000.json"))
return train_data, dev_data, test_data
def load_path(env_id, anno=True):
anno_curve_path = paths.get_anno_curve_path(env_id)
if os.path.isfile(anno_curve_path) and anno:
path = load_json(anno_curve_path)
else:
path = load_json(paths.get_curve_path(env_id))
if path is None:
print("Ground truth path not found for env: " + str(env_id))
return path
x_arr = path['x_array']
y_arr = path['z_array']
path = np.asarray(list(zip(x_arr, y_arr)))
return path
def load_params(setup_name):
pydir = get_param_server_dir()
paramsdir = os.path.join(pydir, "run_params")
paramsname = setup_name + ".json"
paramsfile = os.path.join(paramsdir, paramsname)
params = load_json(paramsfile)
return params
def load_train_dev_test_annotations():
config_dir = get_config_dir()
anno_set = P.get_current_parameters()["Environment"].get("annotation_set")
if anno_set == "7000":
train_data = load_json(
os.path.join(config_dir, "train_annotations_7000.json"))
dev_data = load_json(
os.path.join(config_dir, "dev_annotations_7000.json"))
test_data = load_json(
os.path.join(config_dir, "test_annotations_7000.json"))
return train_data, dev_data, test_data
elif anno_set == "6000":
train_data = load_json(
os.path.join(config_dir, "train_annotations_6000.json"))
dev_data = load_json(
os.path.join(config_dir, "dev_annotations_6000.json"))
test_data = load_json(
os.path.join(config_dir, "test_annotations_6000.json"))
return train_data, dev_data, test_data
elif anno_set == "4000":
data = load_json(os.path.join(config_dir, "annotation_results.json"))
return data["train"], data["dev"], data["test"]
else:
raise ValueError(
f"Unknown annotation set: {anno_set}. Expected one of: 4000, 6000, 7000"
)
def load_env_split():
path = paths.get_env_split_path()
split = load_json(path)
return split