# model settings model = dict( type='BMN', temporal_dim=100, boundary_ratio=0.5, num_samples=32, num_samples_per_bin=3, feat_dim=400, soft_nms_alpha=0.4, soft_nms_low_threshold=0.5, soft_nms_high_threshold=0.9, post_process_top_k=100)
