question about evaluation code

[emjay73]

In eval_vpq.py, at step 2, gt/pred_segms initial assignments should be done using deep copy, isn't it?
Which means,

'''

Step 2. Concatenate the collected items -> tube-level.

    vid_pan_gt = np.stack(vid_pan_gt) # [nf,H,W] # nf == nframe
    vid_pan_pred = np.stack(vid_pan_pred) # [nf,H,W]
    vid_gt_segms, vid_pred_segms = {}, {} # from json
    for gt_segms, pred_segms in zip(gt_segms_list, pred_segms_list):
        # aggregate into tube 'area'
        for k in gt_segms.keys():
            if not k in vid_gt_segms:
                #vid_gt_segms[k] = gt_segms[k]
                vid_gt_segms[k] = copy.deepcopy(gt_segms[k])
            else:
                vid_gt_segms[k]['area'] += gt_segms[k]['area']
        for k in pred_segms.keys():
            if not k in vid_pred_segms:
                #vid_pred_segms[k] = pred_segms[k]
                vid_pred_segms[k] = copy.deepcopy( pred_segms[k])
            else:
                vid_pred_segms[k]['area'] += pred_segms[k]['area']

'''

Otherwise, vid_gt/pre_segms[k]['area'] value will be accumulated along multiple frames.