sam31server 전환, 라멘 파이프라인 정리, 문서 추가

- sam31server를 SAM3.1 서버로 전환 (x-anylabeling01 대체)
- detect_raamen.py: B/C 분류 기반 라멘형 전철주 검출 파이프라인 정비
- sam3_everything_explore.py: Discovery Sweep 탐색 모드 정리
- detect_all_objects.py: 타일 검출 개선
- docs/railway-client-guide.html: 서버·도구·파이프라인 전체 가이드 추가
- tools 추가: detect_control_box, group_ramen_poles, render_everything_by_label, render_label_polygons, debug_vh

Closes #1

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

tools/debug_vh.py

@@ -0,0 +1,66 @@
+"""debug_vh.py — catenary_pole V/H 분류 디버그 시각화."""
+import argparse
+import json
+import sys
+import cv2
+import numpy as np
+from pathlib import Path
+
+sys.path.insert(0, str(Path(__file__).parent))
+from group_ramen_poles import _poly_orient
+
+COLOR = {
+    'V':           (255, 80,   0),
+    'H':           (0,   80,  255),
+    '?':           (160, 160, 160),
+    '?_ambiguous': (0,  255,   0),
+}
+
+
+def main():
+    ap = argparse.ArgumentParser()
+    ap.add_argument("--label", required=True, help="AnyLabeling JSON")
+    ap.add_argument("--image", required=True, help="원본 이미지")
+    ap.add_argument("--output", required=True, help="출력 JPG")
+    args = ap.parse_args()
+
+    data = json.loads(Path(args.label).read_text(encoding="utf-8"))
+    iH, iW = data["imageHeight"], data["imageWidth"]
+
+    buf = np.fromfile(args.image, dtype=np.uint8)
+    img = cv2.imdecode(buf, cv2.IMREAD_COLOR)
+    H, W = img.shape[:2]
+    font_sc = max(1.0, min(W, H) / 4000)
+    thick = max(2, int(font_sc * 2))
+
+    for full_idx, s in enumerate(data["shapes"]):
+        if s.get("label") != "catenary_pole":
+            continue
+        pts = np.array(s["points"], dtype=np.int32)
+        o = _poly_orient(s["points"], iH, iW)
+        col = COLOR.get(o, (160, 160, 160))
+        ov = img.copy()
+        cv2.fillPoly(ov, [pts], col)
+        cv2.addWeighted(ov, 0.30, img, 0.70, 0, img)
+        cv2.polylines(img, [pts], True, col, 3)
+        cx, cy = int(pts[:, 0].mean()), int(pts[:, 1].mean())
+        label = f"{full_idx}{o}"
+        (tw, th), _ = cv2.getTextSize(label, cv2.FONT_HERSHEY_SIMPLEX, font_sc, thick)
+        tx, ty = cx - tw // 2, cy + th // 2
+        cv2.rectangle(img, (tx-3, ty-th-4), (tx+tw+3, ty+4), (0, 0, 0), -1)
+        cv2.putText(img, label, (tx, ty), cv2.FONT_HERSHEY_SIMPLEX, font_sc, (255,255,255), thick+1, cv2.LINE_AA)
+        cv2.putText(img, label, (tx, ty), cv2.FONT_HERSHEY_SIMPLEX, font_sc, col, thick, cv2.LINE_AA)
+
+    h, w = img.shape[:2]
+    scale = min(1.0, 4096 / max(h, w))
+    if scale < 1.0:
+        img = cv2.resize(img, (int(w * scale), int(h * scale)))
+
+    out = Path(args.output)
+    out.parent.mkdir(parents=True, exist_ok=True)
+    cv2.imencode(out.suffix, img)[1].tofile(str(out))
+    print(f"saved: {out}")
+
+
+if __name__ == "__main__":
+    main()