feat(feature-compressor): add DINOv2 feature extraction and compression pipeline

mini-nav/configs/config.py

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+from enum import Enum
+from pathlib import Path
+from typing import Dict
+
+import yaml
+
+
+class Config(Enum):
+    FEATURE_COMPRESSOR = "feature_compressor.yaml"
+
+
+def get_config_dir() -> Path:
+    return Path(__file__).parent
+
+
+def get_default_config(config_type: Config) -> Dict[Unknown, Unknown]:
+    config_path = get_config_dir() / config_type.value
+
+    with open(config_path) as f:
+        return yaml.safe_load(f)

mini-nav/configs/feature_compressor.yaml

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+model:
+  name: "facebook/dinov2-large"
+  compression_dim: 256
+  pooling_type: "attention"  # attention-based Top-K
+  top_k_ratio: 0.5           # Keep 50% of tokens
+  hidden_ratio: 2.0          # MLP hidden = compression_dim * 2
+  dropout_rate: 0.1
+  use_residual: true
+  device: "auto"             # auto-detect GPU
+
+visualization:
+  plot_theme: "plotly_white"
+  color_scale: "viridis"
+  point_size: 8
+  fig_width: 900
+  fig_height: 600
+
+output:
+  directory: "./outputs"
+  html_self_contained: true
+  png_scale: 2               # 2x resolution for PNG