| { |
| "protocol": "Batch-size-1 per-image model inference latency measured inside each predictor with time.perf_counter and CUDA synchronization around the model-call section only. Each image uses unmeasured warmup iterations followed by measured repeats. Model loading, process startup, dataset export, image file I/O, metric computation, visualization writing, and result serialization are excluded.", |
| "methods": { |
| "ours": { |
| "enabled": true, |
| "available": true, |
| "method": "ours", |
| "protocol": "Batch-size-1 per-image model inference latency measured inside each predictor with time.perf_counter and CUDA synchronization around the model-call section only. Each image uses unmeasured warmup iterations followed by measured repeats. Model loading, process startup, dataset export, image file I/O, metric computation, visualization writing, and result serialization are excluded.", |
| "timed_observations": 5320, |
| "images": 1064, |
| "mean_seconds": 1.8277028220793219, |
| "median_seconds": 1.8259914284572005, |
| "std_seconds": 0.014033581550791104, |
| "ci95_seconds": 0.0003771106329976519, |
| "min_seconds": 1.7931781895458698, |
| "max_seconds": 1.9092448819428682, |
| "images_per_second": 0.5471348995688098, |
| "per_image_file": "/root/vepfs/Infinity/outputs/normal_eval/2026-06-17/12-38-50/sintel/ours/inference_times.json" |
| } |
| } |
| } |
