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# SA-SOR
pred_masks = pred[i]['predictions_for_ranking']
sa_sor, rank_vis = evalu(instance_masks, gt_ranks, pred_masks, 0.1)
# SOR
SEG_THRESHOLD = .98
# Get rank of object
r = 0
if pred_pix_num > int(gt_pix_count * SEG_THRESHOLD):
vals = pred_seg[pred_pix_loc[0], pred_pix_loc[1]]
mode = sc.mode(vals)[0][0]
r = mode
pred_ranks.append(r)
关于代码sor_eval.py中,我注意到您对sor与sa-sor的阈值设置分别是0.98与0.1,论文中的指标结果也是按照这个阈值计算的嘛?sor与sa-sor原论文的阈值设置都是0.5,这样计算出来的结果是否会有影响?
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