Mini-Nav

SikongJueluo/Mini-Nav

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SikongJueluo 4ea567adba

feat(compressors): add JSONL training metrics logging with CLI controls

- Add write_training_metrics() in new compressors/training_metrics.py
  for appending epoch/step/lr/component rows as JSON Lines
- Wire --metrics-path and --log-every CLI options into train.py, passing
  them to the training loop so metrics rows are written every N steps
- Accept absolute metrics paths or paths relative to output directory
- Add quantization component to loss log alongside existing distill/contrastive
- Replace inline torch.device() with get_device() utility
- Add test_hash_training_metrics.py covering multi-row JSONL append

Infrastructure:
- Pin torch 2.7.1 + CUDA 12.8 index for Linux/Windows in pyproject.toml
- Add .justfile rsync upload recipe with .stignore exclusion
- Exclude **/__marimo__ from rsync in .stignore

Dependencies updated: numpy 2.4.5, pandas 3.0.3, black 26.5.0,
click 8.4.0, contourpy, etc.

2026-05-17 14:57:10 +08:00

filter

refactor(compressors): switch SAM from automatic mask generation to bbox-prompted segmentation

2026-04-02 16:47:11 +08:00

proposal

feat(compressors): add OWLv2 bbox crop to HashPipeline and refactor image utilities

2026-04-04 15:27:47 +08:00

__init__.py

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

2026-04-03 18:07:17 +08:00

common.py

feat(compressors): replace float/int compressors with hash-based compression for CAM