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指标问题 #5

@Wu-ZJ

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@Wu-ZJ
    # 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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