def offline_evaluate(pred_func, output_file):
df = get_eval_dataflow()
if config.DYNAMIC_SHAPE_PRED:
eval_brats(
df, lambda img: segment_one_image_dynamic(img, pred_func))
else:
eval_brats(
df, lambda img: segment_one_image(img, pred_func))
def _eval(self):
scores = eval_brats(
self.df,
lambda img: segment_one_image(img, [self.pred], is_online=True))
for k, v in scores.items():
self.trainer.monitors.put_scalar(k, v)