diff --git "a/logs/training_v2_final.log" "b/logs/training_v2_final.log" new file mode 100644--- /dev/null +++ "b/logs/training_v2_final.log" @@ -0,0 +1,572 @@ + +============================================================ +🎯 OCULUS EXTENDED DETECTION TRAINER +============================================================ + +[Loading Model] + ✨ Resuming from V2 checkpoint: checkpoints/oculus_detection_v2/final + ✓ Loaded projector from checkpoints/oculus_detection_v2/final + ✓ Loaded pre-trained detection heads +[Oculus] Loading vision encoders... +Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`. + Loading weights: 0%| | 0/439 [00:00 2048 + Progress: 50/100 + Mean IoU: 0.1759 + Accuracy (IoU>0.5 + correct class): 0.0272 + Loaded 0 counting samples + +🔢 Counting Benchmark +---------------------------------------- + Exact Accuracy: 0.00% + Within-1 Accuracy: 0.00% + Mean Absolute Error: 0.00 + Loaded 0 VQA samples + +❓ VQA Benchmark +---------------------------------------- + Accuracy: 0.00% (0/0) + +====================================================================== +📊 BENCHMARK SUMMARY +====================================================================== + +coco_detection: + mean_iou: 0.1759 + accuracy: 0.0272 + num_samples: 100 + +counting: + exact_accuracy: 0.0000 + within_one_accuracy: 0.0000 + mae: 0.0000 + total: 0 + +vqa: + accuracy: 0.0000 + correct: 0 + total: 0 + +💾 Results saved to: checkpoints/oculus_detection_v2/final/benchmark_results.json