def compute_and_save_errors(results, error_metrics, method_name, output_dir):
json = {}
for error_name, error_metric in error_metrics:
# error_name may be a path or a predefined
name = Path(error_name).name.replace('.', '_')
json[name] = [float(error_metric(np.array(r['gt']),
np.array(r['result']['final'])))
for r in results.values()]
save_json(json, str(output_dir / '{}.json'.format(method_name)),
pretty=True)
def save_test_results(results, method_name, output_dir, matlab=False):
save_json(results, str(output_dir / '{}.json'.format(method_name)),
pretty=True)
if matlab:
print('TODO: export .mat file here.')