The Saliency Sampler is not used in the experiment

[kevinlemon]

Thanks for your code.
(1) In the parse_args.py, the saliency sampler module is defaulted as 0. There are no additional commands to change the default value in the experiment (both "Training and Testing" and "Running Batch Experiments").
# Saliency sampler module
ss_parser = parser.add_argument_group('Saliency Sampler')
ss_parser.add_argument('--ss', type=int, default=0, help='toggle saliency sampler [0,1]')
ss_parser.add_argument('--ss_pretrain', type=int, default=0, help='toggle saliency sampler ImageNet pretraining')
ss_parser.add_argument('--ss_dim', default=None, type=int, nargs='+', help='width and height of saliency network input in pixels')
ss_parser.add_argument('--ss_out_dim', default=None, type=int, nargs='+', help='width and height of saliency network input in pixels')
ss_parser.add_argument('--ss_layers', default=None, type=int, help='number of layers to include in saliency net')
ss_parser.add_argument('--ss_sparsity', default=0, type=float, help='weighting for sparsity loss')
ss_parser.add_argument('--ss_temporal', default=0, type=float, help='weighting for temporal consistency loss')

(2) There are ppg_, our_, pred_ in the results. What are the meanings of these prefix?
test_Last ppg_NegMCC: -0.5935
test_Last ppg_NegSNR: -14.5025
test_Last ppg_IPR: 0.4602
test_Last ppg_NegPC: 0.3113
test_Last ppg_MVTL: 0.0000
test_Last our_v_gt_sd: 5.2483
test_Last our_v_gt_rmse: 6.1034
test_Last our_v_gt_mae: 4.6451
test_Last our_v_gt_corr: 0.8769
test_Last pred_v_gt_sd: 6.2129
test_Last pred_v_gt_rmse: 6.9774
test_Last pred_v_gt_mae: 5.2871
test_Last pred_v_gt_corr: 0.8370
test_Last pred_v_our_sd: 1.1367
test_Last pred_v_our_rmse: 1.1382
test_Last pred_v_our_mae: 0.8260
test_Last pred_v_our_corr: 0.9955

[lbh111w]

I also have this question (2).

[Mollyzml]

I also have this question (2).