def deploy_evaluate(lbl, gt_lbl):
pred_lbl = clean_reindex(lbl)
bestDice, FgBgDice = GetDices(pred_lbl, gt_lbl)
diffFG = DiffFGLabels(pred_lbl, gt_lbl)
MWCov, MUCov, AvgFP, AvgFN = kitti_metric(pred_lbl, gt_lbl)
rand_i = adjusted_rand_index(gt_lbl, pred_lbl)
return bestDice, FgBgDice, diffFG, MWCov, MUCov, AvgFP, AvgFN, rand_i
def evaluate(args, env):
pred_lbl = clean_reindex(env.lbl, args.minsize)
gt_lbl = env.gt_lbl
bestDice, FgBgDice = GetDices(pred_lbl, gt_lbl)
diffFG = DiffFGLabels(pred_lbl, gt_lbl)
MWCov, MUCov, AvgFP, AvgFN = kitti_metric(pred_lbl, gt_lbl)
rand_i = adjusted_rand_index(gt_lbl, pred_lbl)
return bestDice, FgBgDice, diffFG, MWCov, MUCov, AvgFP, AvgFN, rand_i
