{"candidate": "stgcnpp", "status": "PASS", "observation_fps": 10, "prediction_interval_seconds": 0.1, "evaluation_samples": [100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300], "source_display_frames": [242, 723], "ground_truth": "User visual observation: upper-left two fight throughout both loops; others bystanders. Not independent clips.", "camera_id": 24, "arbitrary_fight_mapping": false, "metrics_are_offline": true, "reused_predictions": 41, "prior_wall_seconds": 2.282, "pipeline": "official val_pipeline, one temporal view, no flip/TTA", "missing": "zero score/coordinates before official transforms; no interpolation, no ID stitching", "joint_threshold": 0.3, "score_activation": "softmax over NTU60", "temporal_samples": 100, "pair_rule": "bbox center distance / mean bbox height <= 1.8; spatial candidates only, not fight logic", "prediction_count": 201, "output_items": 585, "max_items": 7, "partial_tracks": 585, "wall_seconds": 4.39, "peak_cuda_allocated_bytes": 30051328, "peak_cuda_reserved_bytes": 54525952}
/opt/conda/lib/python3.11/site-packages/mmcv/cnn/bricks/transformer.py:33: UserWarning: Fail to import ``MultiScaleDeformableAttention`` from ``mmcv.ops.multi_scale_deform_attn``, You should install ``mmcv`` rather than ``mmcv-lite`` if you need this module. 
  warnings.warn('Fail to import ``MultiScaleDeformableAttention`` from '