4 Commits

Author	SHA1	Message	Date
pikaliov	d1ddb40036	Update segmentation.gin to unified 17 classes ... All datasets now use the same 17-class prompt list for transfer learning compatibility. World-UAV segmentation needs regeneration. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>	2026-04-17 22:08:56 +03:00
pikaliov	6f04856b6b	Add UAV_VisLoc annotation script + support drone folder naming ... - Add scripts/run_uav_visloc.py for UAV_VisLoc_processed dataset (81K images) - Add gin config for UAV_VisLoc (pipeline_uav_visloc.gin) - Fix source filter and is_query_record to recognize "drone" folder (UAV_VisLoc uses "drone" instead of "query") Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>	2026-04-17 17:18:38 +03:00
pikaliov	f3cb18ac4d	Add SafeTensors consolidation stage for zero-copy tensor loading ... Bundle all per-image modalities (depth, edge, chm, segm) into a single .safetensors file for fast training DataLoader reads (~0.1ms zero-copy mmap vs ~5ms for 4x PNG). Adds consolidate stage after main pipeline stages, save_safetensors/cleanup_npy config flags, resume support, and 10 new tests. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>	2026-04-17 16:53:29 +03:00
pikaliov	686db62c25	Initial commit: World-UAV annotation pipeline ... 4-modality annotation pipeline (depth, edges, segmentation, chmv2) for 973K drone/satellite images. SegEarth-OV3 open-vocabulary segmentation with 11 classes optimized for cross-view geo-localization. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>	2026-04-16 11:22:01 +03:00