refactor(compressors): migrate pipeline to OWLv2-based detection with text labels

- Replace bbox-prompted segmentation with OWLv2 text-guided object detection
- Refactor HashPipeline from nn.Module to plain class with modular stage methods
- Add detect_batch, segment_batch, filter_batch for explicit pipeline stages
- Rename forward to forward_batch with text_labels API instead of bboxes
- Add mask_scoring_config, score_threshold, postprocess_threshold configuration
- Update model_loader to expose Dinov2Model type annotation

mini-nav/compressors/__init__.py

@@ -6,7 +6,7 @@ from .common import (
     hash_to_bits,
 )
 from .hash_compressor import HashCompressor, HashLoss, VideoPositiveMask
-from .object_score import (
+from .filter import (
     MaskFeatures,
     MaskScoringConfig,
     compute_mask_features,