Update dataset path (SSD_2_TB)

2026-05-08 09:52:15 +03:00
parent 455ae2e99f
commit 7b3acc633a
25 changed files with 59 additions and 59 deletions
--- a/CLAUDE.md
+++ b/CLAUDE.md
@@ -175,20 +175,20 @@ Eval: Resize(256) + CenterCrop(256) + ImageNet normalization.

 ## Датасет: GTA-UAV-LR

- **RGB:** `/home/servml/Документы/datasets/GTA-UAV-LR/`
+- **RGB:** `/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR/`
  - Drone: 33,763 PNG (512x384), altitudes 100-600m
  - Satellite: 14,640 PNG (256x256 RGBA)
  - Pairs: `cross-area-drone2sate-{train,test}.json` (primary split)
  - Metadata: `*_drone_meta.csv` (height, yaw, roll, pitch)
  - Origin: GTA V simulation (Los Santos)

- **Captions:** `/home/servml/Документы/datasets/GTA-UAV-LR-captions/`
+- **Captions:** `/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR-captions/`
  - Drone: 33,411 JSON (32,635 multi-paragraph P1/P2/P3 + 776 short water-only)
  - Satellite: 6,546 JSON (все multi-paragraph)
  - Формат: 3 абзаца (P1 Inventory + P2 Spatial + P3 Fingerprint)
  - Token counts: ~430 output tokens per caption

- **Segmentation:** `/home/servml/Документы/datasets/GTA-UAV-LR-aug/`
+- **Segmentation:** `/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR-aug/`
  - 48,403 images, 17 классов (background, building, road, vegetation, water, ...)
  - Modalities: segm/, depth/, edge/, chm/, safetensors/
  - Query: 512x512, DB: 256x256
@@ -331,7 +331,7 @@ python -m scripts.compare_runs \

 ### UAV-VisLoc Prepare
 - **Путь:** `/home/servml/Документы/code/Yaroslav/UAV-VisLoc-prepare/scripts/prepare_dataset.py`
- **Статус:** выполнен (2026-04-17), данные в `/home/servml/Документы/datasets/UAV_VisLoc_processed/` (25 GB)
+- **Статус:** выполнен (2026-04-17), данные в `/media/servml/SSD_2_2TB/datasets/cvgl_datasets/UAV_VisLoc_processed/` (25 GB)
 - **Задача:** нарезка satellite кропов 512x512, stride 256 + resize drone -> 512x512
 - **Подробности:** см. ниже

@@ -376,7 +376,7 @@ Binary masks — natural FiLM gates. Modality dropout: text 0.3, CHM 0.5, seg 0.
 ## Датасеты (справочник)

 ### UAV-VisLoc
- **Путь:** `/home/servml/Документы/datasets/UAV_VisLoc_dataset/`
+- **Путь:** `/media/servml/SSD_2_2TB/datasets/cvgl_datasets/UAV_VisLoc_dataset/`
 - **Структура:** 11 маршрутов (папки `01`-`11`), каждая содержит:
  - `drone/` — drone-снимки (`XX_NNNN.JPG`)
  - `satelliteXX.tif` — спутниковая карта
@@ -403,8 +403,8 @@ Binary masks — natural FiLM gates. Modality dropout: text 0.3, CHM 0.5, seg 0.
 ### Запуск
 ```bash
 python scripts/prepare_dataset.py \
-    --src /home/servml/Документы/datasets/UAV_VisLoc_dataset \
-    --dst /home/servml/Документы/datasets/UAV_VisLoc_processed \
+    --src /media/servml/SSD_2_2TB/datasets/cvgl_datasets/UAV_VisLoc_dataset \
+    --dst /media/servml/SSD_2_2TB/datasets/cvgl_datasets/UAV_VisLoc_processed \
    --crop-size 512 --stride 256 --target-size 512
 ```

--- a/GTA-UAV-LR_Dataset_Analysis.md
+++ b/GTA-UAV-LR_Dataset_Analysis.md
@@ -2,8 +2,8 @@

 **Дата анализа:** 2026-04-21
 **Метод:** Эмпирический анализ данных на диске + статья arXiv:2409.16925 + GitHub-репозиторий авторов
-**Путь к данным:** `/home/servml/Документы/datasets/GTA-UAV-LR/`
-**Путь к аугментациям:** `/home/servml/Документы/datasets/GTA-UAV-LR-aug/`
+**Путь к данным:** `/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR/`
+**Путь к аугментациям:** `/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR-aug/`

 ---

@@ -284,7 +284,7 @@

 ## 8. АУГМЕНТИРОВАННЫЙ НАБОР (GTA-UAV-LR-aug)

-**Путь:** `/home/servml/Документы/datasets/GTA-UAV-LR-aug/`
+**Путь:** `/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR-aug/`
 **Объём:** ~71 GB

 ### 8.1. Сгенерированные модальности
--- a/README.md
+++ b/README.md
@@ -377,9 +377,9 @@ that list it as a valid candidate. `n_scored_g2q` is reported in metrics for tra
 ### V3 — GTA-UAV + DINOv3 + DGTRS-CLIP (active)

 **Dataset:** GTA-UAV-LR (33K drone + 14K satellite, GTA V synthetic)
- RGB: `/home/servml/Документы/datasets/GTA-UAV-LR/`
- Captions: `/home/servml/Документы/datasets/GTA-UAV-LR-captions/` (40K JSON, 3-paragraph VLM)
- Segmentation: `/home/servml/Документы/datasets/GTA-UAV-LR-aug/` (17 classes)
+- RGB: `/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR/`
+- Captions: `/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR-captions/` (40K JSON, 3-paragraph VLM)
+- Segmentation: `/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR-aug/` (17 classes)
 - Seg filter: 37,498 passed / 10,905 excluded (>=90% background+water)
 - Split: 80/20 random (26,966 train / 6,742 test → 24,891/6,252 after seg filter)

--- a/UAV-VisLoc_Dataset_Analysis.md
+++ b/UAV-VisLoc_Dataset_Analysis.md
@@ -2,7 +2,7 @@

 **Дата анализа:** 2026-04-17
 **Метод:** Эмпирический анализ данных на диске + статья arXiv:2405.11936 + GitHub-репозиторий авторов
-**Путь к данным:** `/home/servml/Документы/datasets/UAV_VisLoc_dataset/`
+**Путь к данным:** `/media/servml/SSD_2_2TB/datasets/cvgl_datasets/UAV_VisLoc_dataset/`

 ---

--- a/in/config_files/gtauav_balanced/pipeline.gin
+++ b/in/config_files/gtauav_balanced/pipeline.gin
@@ -1,8 +1,8 @@
 # Pipeline: GTA-UAV-LR with text captions, servml workstation paths.
 PipelineConfig.train_json = 'meta/train_80.json'
 PipelineConfig.test_json = 'meta/test_20.json'
-PipelineConfig.rgb_root = '/home/servml/Документы/datasets/GTA-UAV-LR'
-PipelineConfig.caption_root = '/home/servml/Документы/datasets/GTA-UAV-LR-captions'
+PipelineConfig.rgb_root = '/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR'
+PipelineConfig.caption_root = '/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR-captions'
 PipelineConfig.filter_meta = 'meta/seg_filter.json'

 PipelineConfig.epochs = 10
--- a/in/config_files/gtauav_balanced_asym/pipeline.gin
+++ b/in/config_files/gtauav_balanced_asym/pipeline.gin
@@ -1,8 +1,8 @@
 # Pipeline: GTA-UAV-LR with text captions, servml workstation paths.
 PipelineConfig.train_json = 'meta/train_80.json'
 PipelineConfig.test_json = 'meta/test_20.json'
-PipelineConfig.rgb_root = '/home/servml/Документы/datasets/GTA-UAV-LR'
-PipelineConfig.caption_root = '/home/servml/Документы/datasets/GTA-UAV-LR-captions'
+PipelineConfig.rgb_root = '/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR'
+PipelineConfig.caption_root = '/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR-captions'
 PipelineConfig.filter_meta = 'meta/seg_filter.json'

 PipelineConfig.epochs = 10
--- a/in/config_files/gtauav_balanced_sofia/pipeline.gin
+++ b/in/config_files/gtauav_balanced_sofia/pipeline.gin
@@ -1,8 +1,8 @@
 # Pipeline: GTA-UAV-LR with text captions, servml workstation paths.
 PipelineConfig.train_json = 'meta/train_80.json'
 PipelineConfig.test_json = 'meta/test_20.json'
-PipelineConfig.rgb_root = '/home/servml/Документы/datasets/GTA-UAV-LR'
-PipelineConfig.caption_root = '/home/servml/Документы/datasets/GTA-UAV-LR-captions'
+PipelineConfig.rgb_root = '/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR'
+PipelineConfig.caption_root = '/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR-captions'
 PipelineConfig.filter_meta = 'meta/seg_filter.json'

 PipelineConfig.epochs = 10
--- a/in/config_files/gtauav_balanced_sofia_v1/pipeline.gin
+++ b/in/config_files/gtauav_balanced_sofia_v1/pipeline.gin
@@ -1,8 +1,8 @@
 # Pipeline: GTA-UAV-LR with text captions, servml workstation paths.
 PipelineConfig.train_json = 'meta/train_80.json'
 PipelineConfig.test_json = 'meta/test_20.json'
-PipelineConfig.rgb_root = '/home/servml/Документы/datasets/GTA-UAV-LR'
-PipelineConfig.caption_root = '/home/servml/Документы/datasets/GTA-UAV-LR-captions'
+PipelineConfig.rgb_root = '/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR'
+PipelineConfig.caption_root = '/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR-captions'
 PipelineConfig.filter_meta = 'meta/seg_filter.json'

 PipelineConfig.epochs = 10
--- a/in/config_files/gtauav_balanced_stripnet/pipeline.gin
+++ b/in/config_files/gtauav_balanced_stripnet/pipeline.gin
@@ -1,8 +1,8 @@
 # Pipeline: GTA-UAV-LR with text captions, servml workstation paths.
 PipelineConfig.train_json = 'meta/train_80.json'
 PipelineConfig.test_json = 'meta/test_20.json'
-PipelineConfig.rgb_root = '/home/servml/Документы/datasets/GTA-UAV-LR'
-PipelineConfig.caption_root = '/home/servml/Документы/datasets/GTA-UAV-LR-captions'
+PipelineConfig.rgb_root = '/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR'
+PipelineConfig.caption_root = '/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR-captions'
 PipelineConfig.filter_meta = 'meta/seg_filter.json'

 PipelineConfig.epochs = 10
--- a/in/config_files/gtauav_balanced_stripnet_unfrozen/pipeline.gin
+++ b/in/config_files/gtauav_balanced_stripnet_unfrozen/pipeline.gin
@@ -1,8 +1,8 @@
 # Pipeline: GTA-UAV-LR with text captions, servml workstation paths.
 PipelineConfig.train_json = 'meta/train_80.json'
 PipelineConfig.test_json = 'meta/test_20.json'
-PipelineConfig.rgb_root = '/home/servml/Документы/datasets/GTA-UAV-LR'
-PipelineConfig.caption_root = '/home/servml/Документы/datasets/GTA-UAV-LR-captions'
+PipelineConfig.rgb_root = '/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR'
+PipelineConfig.caption_root = '/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR-captions'
 PipelineConfig.filter_meta = 'meta/seg_filter.json'

 PipelineConfig.epochs = 10
--- a/in/config_files/gtauav_baseline/pipeline.gin
+++ b/in/config_files/gtauav_baseline/pipeline.gin
@@ -1,8 +1,8 @@
 # Pipeline: GTA-UAV-LR with text captions, servml workstation paths.
 PipelineConfig.train_json = 'meta/train_80.json'
 PipelineConfig.test_json = 'meta/test_20.json'
-PipelineConfig.rgb_root = '/home/servml/Документы/datasets/GTA-UAV-LR'
-PipelineConfig.caption_root = '/home/servml/Документы/datasets/GTA-UAV-LR-captions'
+PipelineConfig.rgb_root = '/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR'
+PipelineConfig.caption_root = '/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR-captions'
 PipelineConfig.filter_meta = 'meta/seg_filter.json'

 PipelineConfig.epochs = 10
--- a/in/config_files/gtauav_baseline_asym/pipeline.gin
+++ b/in/config_files/gtauav_baseline_asym/pipeline.gin
@@ -1,8 +1,8 @@
 # Pipeline: GTA-UAV-LR with text captions, servml workstation paths.
 PipelineConfig.train_json = 'meta/train_80.json'
 PipelineConfig.test_json = 'meta/test_20.json'
-PipelineConfig.rgb_root = '/home/servml/Документы/datasets/GTA-UAV-LR'
-PipelineConfig.caption_root = '/home/servml/Документы/datasets/GTA-UAV-LR-captions'
+PipelineConfig.rgb_root = '/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR'
+PipelineConfig.caption_root = '/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR-captions'
 PipelineConfig.filter_meta = 'meta/seg_filter.json'

 PipelineConfig.epochs = 10
--- a/in/config_files/gtauav_baseline_sofia/pipeline.gin
+++ b/in/config_files/gtauav_baseline_sofia/pipeline.gin
@@ -1,8 +1,8 @@
 # Pipeline: GTA-UAV-LR with text captions, servml workstation paths.
 PipelineConfig.train_json = 'meta/train_80.json'
 PipelineConfig.test_json = 'meta/test_20.json'
-PipelineConfig.rgb_root = '/home/servml/Документы/datasets/GTA-UAV-LR'
-PipelineConfig.caption_root = '/home/servml/Документы/datasets/GTA-UAV-LR-captions'
+PipelineConfig.rgb_root = '/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR'
+PipelineConfig.caption_root = '/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR-captions'
 PipelineConfig.filter_meta = 'meta/seg_filter.json'

 PipelineConfig.epochs = 10
--- a/in/config_files/gtauav_baseline_sofia_v1/pipeline.gin
+++ b/in/config_files/gtauav_baseline_sofia_v1/pipeline.gin
@@ -1,8 +1,8 @@
 # Pipeline: GTA-UAV-LR with text captions, servml workstation paths.
 PipelineConfig.train_json = 'meta/train_80.json'
 PipelineConfig.test_json = 'meta/test_20.json'
-PipelineConfig.rgb_root = '/home/servml/Документы/datasets/GTA-UAV-LR'
-PipelineConfig.caption_root = '/home/servml/Документы/datasets/GTA-UAV-LR-captions'
+PipelineConfig.rgb_root = '/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR'
+PipelineConfig.caption_root = '/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR-captions'
 PipelineConfig.filter_meta = 'meta/seg_filter.json'

 PipelineConfig.epochs = 10
--- a/in/config_files/gtauav_baseline_stripnet/pipeline.gin
+++ b/in/config_files/gtauav_baseline_stripnet/pipeline.gin
@@ -1,8 +1,8 @@
 # Pipeline: GTA-UAV-LR with text captions, servml workstation paths.
 PipelineConfig.train_json = 'meta/train_80.json'
 PipelineConfig.test_json = 'meta/test_20.json'
-PipelineConfig.rgb_root = '/home/servml/Документы/datasets/GTA-UAV-LR'
-PipelineConfig.caption_root = '/home/servml/Документы/datasets/GTA-UAV-LR-captions'
+PipelineConfig.rgb_root = '/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR'
+PipelineConfig.caption_root = '/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR-captions'
 PipelineConfig.filter_meta = 'meta/seg_filter.json'

 PipelineConfig.epochs = 10
--- a/in/config_files/gtauav_baseline_stripnet_unfrozen/pipeline.gin
+++ b/in/config_files/gtauav_baseline_stripnet_unfrozen/pipeline.gin
@@ -1,8 +1,8 @@
 # Pipeline: GTA-UAV-LR with text captions, servml workstation paths.
 PipelineConfig.train_json = 'meta/train_80.json'
 PipelineConfig.test_json = 'meta/test_20.json'
-PipelineConfig.rgb_root = '/home/servml/Документы/datasets/GTA-UAV-LR'
-PipelineConfig.caption_root = '/home/servml/Документы/datasets/GTA-UAV-LR-captions'
+PipelineConfig.rgb_root = '/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR'
+PipelineConfig.caption_root = '/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR-captions'
 PipelineConfig.filter_meta = 'meta/seg_filter.json'

 PipelineConfig.epochs = 10
--- a/in/config_files/gtauav_image_heavy/pipeline.gin
+++ b/in/config_files/gtauav_image_heavy/pipeline.gin
@@ -1,8 +1,8 @@
 # Pipeline: GTA-UAV-LR with text captions, servml workstation paths.
 PipelineConfig.train_json = 'meta/train_80.json'
 PipelineConfig.test_json = 'meta/test_20.json'
-PipelineConfig.rgb_root = '/home/servml/Документы/datasets/GTA-UAV-LR'
-PipelineConfig.caption_root = '/home/servml/Документы/datasets/GTA-UAV-LR-captions'
+PipelineConfig.rgb_root = '/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR'
+PipelineConfig.caption_root = '/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR-captions'
 PipelineConfig.filter_meta = 'meta/seg_filter.json'

 PipelineConfig.epochs = 10
--- a/in/config_files/gtauav_text_heavy/pipeline.gin
+++ b/in/config_files/gtauav_text_heavy/pipeline.gin
@@ -1,8 +1,8 @@
 # Pipeline: GTA-UAV-LR with text captions, servml workstation paths.
 PipelineConfig.train_json = 'meta/train_80.json'
 PipelineConfig.test_json = 'meta/test_20.json'
-PipelineConfig.rgb_root = '/home/servml/Документы/datasets/GTA-UAV-LR'
-PipelineConfig.caption_root = '/home/servml/Документы/datasets/GTA-UAV-LR-captions'
+PipelineConfig.rgb_root = '/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR'
+PipelineConfig.caption_root = '/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR-captions'
 PipelineConfig.filter_meta = 'meta/seg_filter.json'

 PipelineConfig.epochs = 10
--- a/in/config_files/preprocess/preprocess.gin
+++ b/in/config_files/preprocess/preprocess.gin
@@ -2,8 +2,8 @@
 # scripts/filter_segmentation.py. Independent from training pipeline.

 # Inputs.
-PreprocessConfig.rgb_root = '/home/servml/Документы/datasets/GTA-UAV-LR'
-PreprocessConfig.segm_root = '/home/servml/Документы/datasets/GTA-UAV-LR-aug/segm'
+PreprocessConfig.rgb_root = '/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR'
+PreprocessConfig.segm_root = '/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR-aug/segm'

 # make_split.py — 80/20 split with seed=42.
 PreprocessConfig.split_ratio = 0.8
--- a/pre_refactor_analysis.md
+++ b/pre_refactor_analysis.md
@@ -174,8 +174,8 @@ TrainConfigGTAUAV.output_dir = "out/gtauav/balanced_asym"

 ```python
 # src/training/train_gtauav.py (module level)
-_RGB_ROOT = "/home/servml/Документы/datasets/GTA-UAV-LR"
-_CAPTION_ROOT = "/home/servml/Документы/datasets/GTA-UAV-LR-captions"
+_RGB_ROOT = "/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR"
+_CAPTION_ROOT = "/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR-captions"
 _TRAIN_JSON = "meta/train_80.json"
 _TEST_JSON = "meta/test_20.json"
 _DINO_WEB = "nn_models/DINO_WEB/dinov3-vitl16-pretrain-lvd1689m.pth"
@@ -183,17 +183,17 @@ _DINO_SAT = "nn_models/DINO_SAT/model.safetensors"
 _LRSCLIP = "nn_models/LRSCLIP/DGTRS-CLIP-ViT-L-14.pt"

 # src/datasets/gtauav_dataset.py (module level) — ДУБЛЬ:
-_RGB_ROOT = Path("/home/servml/Документы/datasets/GTA-UAV-LR")
-_CAPTION_ROOT = Path("/home/servml/Документы/datasets/GTA-UAV-LR-captions")
+_RGB_ROOT = Path("/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR")
+_CAPTION_ROOT = Path("/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR-captions")

 # scripts/make_split.py (module level):
-_RGB_ROOT = Path("/home/servml/Документы/datasets/GTA-UAV-LR")
+_RGB_ROOT = Path("/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR")

 # scripts/filter_segmentation.py (module level):
-SEGM_ROOT = Path("/home/servml/Документы/datasets/GTA-UAV-LR-aug/segm")
+SEGM_ROOT = Path("/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR-aug/segm")
 ```

-**Главная проблема — не сам факт хардкода**, а то, что один и тот же путь `/home/servml/Документы/datasets/GTA-UAV-LR` дублируется в **трёх** местах: train_gtauav.py + gtauav_dataset.py + make_split.py. Если переехать на другую машину — нужно править 3 файла; если забыть один — silent breakage.
+**Главная проблема — не сам факт хардкода**, а то, что один и тот же путь `/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR` дублируется в **трёх** местах: train_gtauav.py + gtauav_dataset.py + make_split.py. Если переехать на другую машину — нужно править 3 файла; если забыть один — silent breakage.

 **Масштаб:** 4 файла, ~10 module-level констант пути.

--- a/scripts/filter_segmentation.py
+++ b/scripts/filter_segmentation.py
@@ -25,7 +25,7 @@ from tqdm import tqdm

 LOGGER = logging.getLogger("caption_test.filter_seg")

-SEGM_ROOT = Path("/home/servml/Документы/datasets/GTA-UAV-LR-aug/segm")
+SEGM_ROOT = Path("/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR-aug/segm")
 EXCLUDE_CLASSES = {0, 4}  # background, water
 DEFAULT_THRESHOLD = 0.90

--- a/scripts/make_split.py
+++ b/scripts/make_split.py
@@ -19,7 +19,7 @@ import coloredlogs

 LOGGER = logging.getLogger("caption_test.make_split")

-_RGB_ROOT = Path("/home/servml/Документы/datasets/GTA-UAV-LR")
+_RGB_ROOT = Path("/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR")


 def main() -> None:
--- a/src/conf/pipeline_conf.py
+++ b/src/conf/pipeline_conf.py
@@ -19,8 +19,8 @@ class PipelineConfig:
        # Data inputs.
        train_json: str = "meta/train_80.json",
        test_json: str = "meta/test_20.json",
-        rgb_root: str = "/home/servml/Документы/datasets/GTA-UAV-LR",
-        caption_root: str = "/home/servml/Документы/datasets/GTA-UAV-LR-captions",
+        rgb_root: str = "/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR",
+        caption_root: str = "/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR-captions",
        filter_meta: str | None = None,
        # Training schedule.
        epochs: int = 10,
--- a/src/conf/preprocess_conf.py
+++ b/src/conf/preprocess_conf.py
@@ -18,8 +18,8 @@ class PreprocessConfig:
    def __init__(
        self,
        # Inputs.
-        rgb_root: str = "/home/servml/Документы/datasets/GTA-UAV-LR",
-        segm_root: str = "/home/servml/Документы/datasets/GTA-UAV-LR-aug/segm",
+        rgb_root: str = "/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR",
+        segm_root: str = "/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR-aug/segm",
        # make_split.py params.
        split_ratio: float = 0.8,
        split_seed: int = 42,
--- a/src/datasets/gtauav_dataset.py
+++ b/src/datasets/gtauav_dataset.py
@@ -30,8 +30,8 @@ LOGGER = logging.getLogger("caption_test.gtauav_dataset")
 coloredlogs.install(level="INFO", logger=LOGGER, fmt="%(asctime)s %(name)s %(levelname)s %(message)s")

 # Default paths.
-_RGB_ROOT = Path("/home/servml/Документы/datasets/GTA-UAV-LR")
-_CAPTION_ROOT = Path("/home/servml/Документы/datasets/GTA-UAV-LR-captions")
+_RGB_ROOT = Path("/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR")
+_CAPTION_ROOT = Path("/media/servml/SSD_2_2TB/datasets/cvgl_datasets/GTA-UAV-LR-captions")
 _EMPTY_CAPTION = ""

 # Regex to split P1/P2/P3 sections.