feat(人物管理/红框标记): 关键帧人脸标记 + 人物命名重命名回溯 + 人物管理页改版

1. fam-edge 新增 frame_marker.py: Edge 端人脸检测画红框+统计人脸数（NAS ARM 太弱只存图零计算），orchestrator 分析后回传前标记，新增 /api/edge/mark_frames 批量补标端点
2. fam-core 新增 tools/backfill_mark_frames.py: 存量关键帧批量补红框（幂等+备份 frames_orig）
3. db_layer.name_member 增强: 支持自动注册新标签/重命名回溯（旧真名一并替换）/多人组合字符串 REPLACE
4. fam-ui 成员命名页改为人物管理页: 所有人物照片墙+命名重命名+统计去重
5. event_receiver/member_manager 配套适配

fam-core/src/fam_core/db_layer.py

@@ -424,19 +424,31 @@ def get_all_members(include_named=True, include_unnamed=True) -> List[Dict]:
 
 
 def name_member(abstract_label: str, real_name: str, named_by: str) -> Dict:
-    """命名成员 + 批量回溯更新历史记录"""
+    """命名/重命名成员 + 批量回溯更新历史记录
+
+    - 标签未入库（如 AI 新输出的 人物1）自动注册
+    - 已命名成员可重命名（旧真名一并回溯替换）
+    - person 为多人组合字符串（'张三, 汤圆'），用 REPLACE 替换其中目标
+    """
     conn = get_conn()
     try:
         cursor = conn.cursor()
 
-        # 1. 校验存在且未命名
+        # 1. 查现有记录，拿到旧真名
         cursor.execute(
-            "SELECT member_id FROM family_members WHERE abstract_label = %s AND real_name IS NULL",
+            "SELECT member_id, real_name FROM family_members WHERE abstract_label = %s",
             (abstract_label,)
         )
         row = cursor.fetchone()
-        if not row:
-            return {"error": f"成员 {abstract_label} 不存在或已命名"}
+        old_name = None
+        if row:
+            old_name = row[1]
+        else:
+            cursor.execute(
+                """INSERT INTO family_members (abstract_label, feature_description, first_seen_at)
+                   VALUES (%s, %s, NOW())""",
+                (abstract_label, f'由命名操作自动注册: {real_name}')
+            )
 
         # 2. 更新 family_members
         cursor.execute(
@@ -447,21 +459,37 @@ def name_member(abstract_label: str, real_name: str, named_by: str) -> Dict:
         )
 
         # 3. 批量回溯更新 event_details
+        #    目标出现的三种形态: 独占整字段 / 多人组合内 / AI 直呼旧真名
+        updated_details_count = 0
+        for old in {abstract_label, old_name} - {None}:
+            if old == real_name:
+                continue
             cursor.execute(
                 "UPDATE event_details SET person = %s WHERE person = %s",
-            (real_name, abstract_label)
+                (real_name, old)
             )
-        updated_details_count = cursor.rowcount
+            updated_details_count += cursor.rowcount
+            cursor.execute(
+                """UPDATE event_details
+                   SET person = REPLACE(person, %s, %s)
+                   WHERE person LIKE %s AND person <> %s""",
+                (old, real_name, f'%{old}%', real_name)
+            )
+            updated_details_count += cursor.rowcount
 
         # 4. 批量回溯更新 monitor_events.entities_json
         #    MariaDB 10.11 不支持 MySQL 的 $[*] 通配符 JSON 路径，
         #    改用 Python 层解析 + 逐行更新
-        cursor.execute(
-            "SELECT event_id, entities_json FROM monitor_events WHERE entities_json LIKE %s",
-            (f'%{abstract_label}%',)
-        )
         import json as _json
         updated_events_count = 0
+        targets = {abstract_label, old_name} - {None}
+        if targets and targets != {real_name}:
+            like_conds = ' OR '.join(['entities_json LIKE %s'] * len(targets))
+            like_args = [f'%{t}%' for t in targets]
+            cursor.execute(
+                f"SELECT event_id, entities_json FROM monitor_events WHERE {like_conds}",
+                tuple(like_args)
+            )
             for eid, entities_raw in cursor.fetchall():
                 if not entities_raw:
                     continue
@@ -472,7 +500,7 @@ def name_member(abstract_label: str, real_name: str, named_by: str) -> Dict:
                 changed = False
                 if isinstance(entities, list):
                     for ent in entities:
-                    if isinstance(ent, dict) and ent.get('person') == abstract_label:
+                        if isinstance(ent, dict) and ent.get('person') in targets:
                             ent['person'] = real_name
                             changed = True
                 if changed:
@@ -486,6 +514,7 @@ def name_member(abstract_label: str, real_name: str, named_by: str) -> Dict:
         return {
             "abstract_label": abstract_label,
             "real_name": real_name,
+            "renamed_from": old_name,
             "updated_event_details_count": updated_details_count,
             "updated_monitor_events_count": updated_events_count
         }
@@ -496,6 +525,109 @@ def name_member(abstract_label: str, real_name: str, named_by: str) -> Dict:
         conn.close()
 
 
+def merge_member(source_key: str, target_key: str, named_by: str = '管理员') -> Dict:
+    """合并人物: source 并入 target（用户判断两帧是同一人时）
+
+    source_key/target_key 可为 abstract_label 或 real_name。
+    - event_details.person: 独占/组合字符串内的 source 一律替换为 target 显示名
+    - monitor_events.entities_json: person 字段替换
+    - family_members: source 行置 is_active=0（保留历史），target 未入库则注册
+    """
+    if source_key == target_key:
+        return {"error": "source 与 target 不能相同"}
+
+    conn = get_conn()
+    try:
+        cursor = conn.cursor(pymysql.cursors.DictCursor)
+
+        def resolve(key):
+            cursor.execute(
+                """SELECT member_id, abstract_label, real_name FROM family_members
+                   WHERE is_active = TRUE AND (abstract_label = %s OR real_name = %s)
+                   ORDER BY real_name IS NULL LIMIT 1""",
+                (key, key))
+            return cursor.fetchone()
+
+        src = resolve(source_key)
+        tgt = resolve(target_key)
+        if not src:
+            return {"error": f"人物 {source_key} 不存在"}
+        if not tgt:
+            # target 是未入库的裸标签（如 人物1），注册后作为目标
+            cursor.execute(
+                """INSERT INTO family_members (abstract_label, feature_description, first_seen_at)
+                   VALUES (%s, %s, NOW())""",
+                (target_key, f'合并操作自动注册: {source_key} 并入'))
+            tgt = {'abstract_label': target_key, 'real_name': None}
+
+        target_display = tgt['real_name'] or tgt['abstract_label']
+        # source 的所有称呼: 抽象标签 + 旧真名（多人组合里两种都可能出现）
+        source_names = {src['abstract_label']}
+        if src['real_name']:
+            source_names.add(src['real_name'])
+
+        updated_details = 0
+        for name in source_names:
+            if name == target_display:
+                continue
+            cursor.execute(
+                "UPDATE event_details SET person = %s WHERE person = %s",
+                (target_display, name))
+            updated_details += cursor.rowcount
+            cursor.execute(
+                """UPDATE event_details
+                   SET person = REPLACE(person, %s, %s)
+                   WHERE person LIKE %s AND person <> %s""",
+                (name, target_display, f'%{name}%', target_display))
+            updated_details += cursor.rowcount
+
+        # entities_json 逐行替换
+        import json as _json
+        updated_events = 0
+        like_conds = ' OR '.join(['entities_json LIKE %s'] * len(source_names))
+        cursor.execute(
+            f"SELECT event_id, entities_json FROM monitor_events WHERE {like_conds}",
+            tuple(f'%{n}%' for n in source_names))
+        for row in cursor.fetchall():
+            raw = row['entities_json']
+            if not raw:
+                continue
+            try:
+                entities = _json.loads(raw) if isinstance(raw, str) else raw
+            except (ValueError, TypeError):
+                continue
+            changed = False
+            if isinstance(entities, list):
+                for ent in entities:
+                    if isinstance(ent, dict) and ent.get('person') in source_names:
+                        ent['person'] = target_display
+                        changed = True
+            if changed:
+                cursor.execute(
+                    "UPDATE monitor_events SET entities_json = %s WHERE event_id = %s",
+                    (_json.dumps(entities, ensure_ascii=False), row['event_id']))
+                updated_events += 1
+
+        # source 行停用
+        cursor.execute(
+            "UPDATE family_members SET is_active = 0, updated_at = NOW() WHERE member_id = %s",
+            (src['member_id'],))
+
+        conn.commit()
+        return {
+            "source": source_key,
+            "target": target_display,
+            "merged_names": sorted(source_names),
+            "updated_event_details_count": updated_details,
+            "updated_monitor_events_count": updated_events
+        }
+    except Exception as e:
+        conn.rollback()
+        raise e
+    finally:
+        conn.close()
+
+
 def get_known_members_context() -> str:
     """获取已命名+未命名成员清单，用于注入 VLM Prompt"""
     conn = get_conn()

fam-core/src/fam_core/event_receiver/event_receiver.py

@@ -38,10 +38,15 @@ def _is_abstract_label(person: str) -> bool:
 
 
 def _save_frame_images(event_id: int, frame_details: list) -> int:
-    """把 frame_details 中的 base64 关键帧落盘，返回成功张数"""
+    """把 frame_details 中的 base64 关键帧落盘，返回成功张数
+
+    同时写 meta.json（frame_index -> face_count），UI 据此挑选有人像的帧做头像。
+    """
     saved = 0
+    face_counts = {}
     for frame in frame_details:
         img_b64 = frame.pop('frame_image', None)
+        faces = frame.pop('face_count', None)
         if not img_b64:
             continue
         idx = frame.get('frame_index', 0)
@@ -51,9 +56,18 @@ def _save_frame_images(event_id: int, frame_details: list) -> int:
             out_path = os.path.join(out_dir, f'frame_{idx}.jpg')
             with open(out_path, 'wb') as f:
                 f.write(base64.b64decode(img_b64))
+            if faces is not None:
+                face_counts[str(idx)] = int(faces)
             saved += 1
         except Exception as e:
             logger.warning(f"[event_id={event_id}] 关键帧落盘失败 frame_{idx}: {e}")
+    if face_counts:
+        try:
+            import json as _json
+            with open(os.path.join(out_dir, 'meta.json'), 'w') as f:
+                _json.dump(face_counts, f)
+        except Exception as e:
+            logger.warning(f"[event_id={event_id}] meta.json 写入失败: {e}")
     if saved:
         logger.info(f"[event_id={event_id}] 关键帧落盘 {saved} 张 -> {FRAME_IMAGE_DIR}")
     return saved

fam-core/src/fam_core/member_manager/member_manager.py

@@ -57,6 +57,29 @@ def name_member():
         return jsonify({"error": str(e)}), 500
 
 
+@member_bp.route('/api/member/merge', methods=['POST'])
+def merge_member():
+    """合并人物（用户判断两个标签是同一人时，source 并入 target）"""
+    data = request.get_json(silent=True)
+    if not data:
+        return jsonify({"error": "Invalid JSON"}), 400
+
+    source_key = data.get('source')
+    target_key = data.get('target')
+    if not source_key or not target_key:
+        return jsonify({"error": "缺少必填字段: source, target"}), 400
+
+    logger.info(f"合并人物: {source_key} -> {target_key}")
+    try:
+        result = db_layer.merge_member(source_key, target_key)
+        if 'error' in result:
+            return jsonify(result), 404
+        return jsonify(result), 200
+    except Exception as e:
+        logger.error(f"合并失败: {e}", exc_info=True)
+        return jsonify({"error": str(e)}), 500
+
+
 @member_bp.route('/api/member/list', methods=['GET'])
 def list_members():
     """列出所有成员"""

fam-core/tools/backfill_mark_frames.py

@@ -0,0 +1,118 @@
+#!/usr/bin/env python3
+"""存量关键帧批量补红框（计算在 Edge/Oracle，NAS 只编排与存图）
+
+流程: 遍历 frames/event_*/frame_*.jpg -> 分批(8张)上传 Edge /api/edge/mark_frames
+      -> 用标记后的图覆盖原文件 -> 写 meta.json (frame_index -> face_count)
+幂等: 已有 meta.json 的事件跳过；--force 强制重跑
+备份: 首次覆盖前原文件备份到 frames_orig/event_*/
+"""
+import argparse
+import base64
+import json
+import os
+import shutil
+import sys
+
+import requests
+
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'src'))
+from fam_core.config_loader import load_config  # noqa: E402
+
+FRAME_DIR = load_config().get('storage', {}).get(
+    'frame_image_dir', '/volume1/web/sentinel-home-ai/fam-ui/static/frames')
+MARK_URL = load_config().get('poller', {}).get(
+    'results_url', 'http://129.146.203.203:5000/api/edge/results'
+).rsplit('/', 1)[0] + '/mark_frames'
+BATCH = 8
+
+
+def mark_batch(images):
+    """images: [(key, jpeg_bytes)] -> {key: (marked_bytes, faces)}"""
+    payload = {
+        'images': [
+            {'key': k, 'data': base64.b64encode(b).decode('ascii')}
+            for k, b in images
+        ]
+    }
+    resp = requests.post(MARK_URL, json=payload, timeout=(30, 120))
+    resp.raise_for_status()
+    out = {}
+    for r in resp.json().get('results', []):
+        if r.get('data'):
+            out[r['key']] = (base64.b64decode(r['data']), r.get('faces', 0))
+        else:
+            out[r['key']] = (None, 0)
+    return out
+
+
+def main():
+    ap = argparse.ArgumentParser()
+    ap.add_argument('--force', action='store_true', help='忽略已有 meta.json 重跑')
+    ap.add_argument('--event', type=int, help='只处理指定 event_id')
+    args = ap.parse_args()
+
+    orig_root = os.path.join(os.path.dirname(FRAME_DIR.rstrip('/')), 'frames_orig')
+    stat = {'events': 0, 'frames': 0, 'faces': 0, 'skip': 0, 'fail': 0}
+
+    for name in sorted(os.listdir(FRAME_DIR)):
+        if not name.startswith('event_'):
+            continue
+        eid = int(name.split('_')[1])
+        if args.event and eid != args.event:
+            continue
+        edir = os.path.join(FRAME_DIR, name)
+        meta_path = os.path.join(edir, 'meta.json')
+        frames = sorted(
+            f for f in os.listdir(edir)
+            if f.startswith('frame_') and f.endswith('.jpg'))
+        if not frames:
+            continue
+        if os.path.exists(meta_path) and not args.force:
+            stat['skip'] += 1
+            continue
+
+        # 备份原件（一次）
+        bak_dir = os.path.join(orig_root, name)
+        if not os.path.isdir(bak_dir):
+            os.makedirs(bak_dir, exist_ok=True)
+            for f in frames:
+                shutil.copy2(os.path.join(edir, f), os.path.join(bak_dir, f))
+
+        face_counts = {}
+        for i in range(0, len(frames), BATCH):
+            batch = []
+            for f in frames[i:i + BATCH]:
+                with open(os.path.join(edir, f), 'rb') as fh:
+                    batch.append((f, fh.read()))
+            try:
+                marked = mark_batch(batch)
+            except Exception as e:
+                print(f'[event {eid}] 批次失败 (跳过 {len(batch)} 帧): {e}')
+                stat['fail'] += len(batch)
+                continue
+            for f, _ in batch:
+                data, faces = marked.get(f, (None, 0))
+                if data is None:
+                    stat['fail'] += 1
+                    continue
+                with open(os.path.join(edir, f), 'wb') as fh:
+                    fh.write(data)
+                idx = f[len('frame_'):-len('.jpg')]
+                face_counts[idx] = faces
+                stat['frames'] += 1
+                stat['faces'] += faces
+
+        if face_counts:
+            with open(meta_path, 'w') as fh:
+                json.dump(face_counts, fh)
+        stat['events'] += 1
+        print(f'[event {eid}] 标记 {len(face_counts)}/{len(frames)} 帧, '
+              f'人脸合计 {sum(face_counts.values())}')
+
+    print(f"\n完成: 事件 {stat['events']} | 帧标记 {stat['frames']} "
+          f"(含人脸帧人脸数 {stat['faces']}) | 已标跳过 {stat['skip']} | 失败 {stat['fail']}")
+    print(f'备份目录: {orig_root}')
+
+
+if __name__ == '__main__':
+    main()

fam-edge/src/fam_edge/ai_orchestrator/orchestrator.py

@@ -173,13 +173,20 @@ class AIOrchestrator:
 
     @staticmethod
     def _attach_frame_images(frame_details: List[dict], frame_paths: List[str]) -> None:
-        """把关键帧图片 base64 附加到 frame_details（按位置对齐视觉分析输入帧）"""
+        """把关键帧图片 base64 附加到 frame_details（按位置对齐视觉分析输入帧）
+
+        附带人脸红框标记与 face_count（NAS 落盘 meta.json，UI 据此挑有人像的头像）
+        """
+        from ..frame_marker import mark_jpeg
         for i, fd in enumerate(frame_details):
             if i >= len(frame_paths):
                 break
             try:
                 with open(frame_paths[i], 'rb') as f:
-                    fd['frame_image'] = base64.b64encode(f.read()).decode('ascii')
+                    raw = f.read()
+                marked, faces = mark_jpeg(raw)
+                fd['frame_image'] = base64.b64encode(marked).decode('ascii')
+                fd['face_count'] = faces
             except OSError as e:
                 logger.warning(f"关键帧图片读取失败: {frame_paths[i]}: {e}")
 

fam-edge/src/fam_edge/api_gateway/api_gateway.py

@@ -7,6 +7,7 @@ API-Gateway - Flask 蓝图，接收任务
 3. analyze (旧拉取模式, 兼容保留)
 """
 import os
+import base64
 import threading
 import requests
 from flask import Blueprint, request, jsonify
@@ -440,6 +441,34 @@ def receive_push_task():
             _currently_processing = False
 
 
+@api_bp.route('/api/edge/mark_frames', methods=['POST'])
+def mark_frames():
+    """NAS 存量关键帧批量补红框（检测计算在 Edge，NAS 只存图）"""
+    data = request.get_json(silent=True)
+    if not data:
+        return jsonify({"error": "Invalid JSON"}), 400
+    images = data.get('images')
+    if not isinstance(images, list) or not images or len(images) > 12:
+        return jsonify({"error": "images 需要 1-12 项 [{key, data}]"}), 400
+
+    from ..frame_marker import mark_jpeg
+    results = []
+    for item in images:
+        key = item.get('key', '')
+        b64 = item.get('data', '')
+        try:
+            marked, faces = mark_jpeg(base64.b64decode(b64))
+            results.append({
+                "key": key,
+                "data": base64.b64encode(marked).decode('ascii'),
+                "faces": faces
+            })
+        except Exception as e:
+            logger.warning(f"补标失败 {key}: {e}")
+            results.append({"key": key, "data": None, "faces": 0, "error": str(e)})
+    return jsonify({"results": results}), 200
+
+
 @api_bp.route('/health', methods=['GET'])
 def health():
     """健康检查"""

fam-edge/src/fam_edge/frame_marker.py

@@ -0,0 +1,71 @@
+"""
+Frame-Marker - 关键帧人脸红框标记
+
+Edge 端统一做检测计算（NAS ARM 太弱），NAS 只存图零计算:
+- orchestrator 分析后、回传前: 画红框 + 统计人脸数
+- /api/edge/mark_frames: NAS 存量帧批量补标
+"""
+import os
+import threading
+
+import cv2
+import numpy as np
+
+from .logger import setup_logger
+from .config_loader import load_config
+
+logger = setup_logger('fam-edge.frame_marker')
+
+_lock = threading.Lock()
+_detector = None
+
+DEFAULT_MODEL = '/opt/fam-edge/models/yunet.onnx'
+
+
+def _get_detector():
+    global _detector
+    if _detector is not None:
+        return _detector
+    with _lock:
+        if _detector is not None:
+            return _detector
+        path = load_config().get('frame_marker', {}).get('model_path', DEFAULT_MODEL)
+        if not os.path.isfile(path):
+            logger.warning(f"YuNet 模型不存在，跳过红框标记: {path}")
+            return None
+        det = cv2.FaceDetectorYN_create(path, '', (320, 320), score_threshold=0.6)
+        _detector = det
+        logger.info(f"YuNet 人脸检测器就绪: {path}")
+        return det
+
+
+def mark_jpeg(jpeg_bytes: bytes):
+    """在 JPEG 帧图上画人脸红框
+
+    返回 (标记后的 JPEG bytes, 人脸数)。检测失败/无模型时原样返回。
+    """
+    det = _get_detector()
+    if det is None:
+        return jpeg_bytes, 0
+    img = cv2.imdecode(np.frombuffer(jpeg_bytes, np.uint8), cv2.IMREAD_COLOR)
+    if img is None:
+        return jpeg_bytes, 0
+    h, w = img.shape[:2]
+    with _lock:
+        det.setInputSize((w, h))
+        _, faces = det.detect(img)
+    if faces is None or len(faces) == 0:
+        return jpeg_bytes, 0
+    for f in faces:
+        x, y, fw, fh = int(f[0]), int(f[1]), int(f[2]), int(f[3])
+        # 人脸框外扩 40%，远处小脸也能看清
+        pad_w, pad_h = int(fw * 0.4), int(fh * 0.4)
+        x1 = max(0, x - pad_w)
+        y1 = max(0, y - pad_h)
+        x2 = min(w, x + fw + pad_w)
+        y2 = min(h, y + fh + pad_h)
+        cv2.rectangle(img, (x1, y1), (x2, y2), (0, 0, 255), 2)
+    ok, buf = cv2.imencode('.jpg', img, [cv2.IMWRITE_JPEG_QUALITY, 85])
+    if not ok:
+        return jpeg_bytes, 0
+    return buf.tobytes(), len(faces)

fam-ui/src/app.py

@@ -403,7 +403,7 @@ st.sidebar.markdown(
 # 顶部横向导航（窄屏下侧边栏自动收起，放主区域保证任何屏宽都可见）
 page = st.segmented_control(
     "功能页面",
-    ["🕒 事件时间轴", "💬 AI 对话", "📝 对话历史", "👤 成员命名", "📈 统计图表"],
+    ["🕒 事件时间轴", "💬 AI 对话", "📝 对话历史", "👤 人物管理", "📈 统计图表"],
     default="🕒 事件时间轴",
     label_visibility="collapsed"
 ) or "🕒 事件时间轴"
@@ -771,110 +771,128 @@ elif page == "📝 对话历史":
 
 
 # ============================================================
-# 成员命名页
+# 人物管理页
 # ============================================================
-elif page == "👤 成员命名":
-    page_header('👤', '家庭成员命名', '为识别到的人物起名')
+elif page == "👤 人物管理":
+    page_header('👤', '人物管理', '所有出现的人物 · 照片 · 命名与重命名')
 
     conn = get_db_conn()
     try:
         cursor = conn.cursor()
-
-        st.markdown('<div style="font-size:15px;font-weight:700;color:#f1f5f9;'
-                    'margin:6px 0 14px 0;">未命名人物</div>', unsafe_allow_html=True)
         cursor.execute(
-            """SELECT fm.abstract_label, fm.feature_description, fm.first_seen_at,
-                      (SELECT COUNT(*) FROM event_details ed WHERE ed.person = fm.abstract_label) AS event_count
-               FROM family_members fm
-               WHERE fm.real_name IS NULL AND fm.is_active = TRUE
-               ORDER BY fm.first_seen_at ASC"""
-        )
-        unnamed = cursor.fetchall()
+            """SELECT abstract_label, real_name, feature_description
+               FROM family_members WHERE is_active = TRUE""")
+        members = cursor.fetchall()
+        cursor.execute(
+            """SELECT ed.event_id, ed.frame_index, ed.frame_timestamp, ed.person
+               FROM event_details ed ORDER BY ed.frame_timestamp ASC""")
+        detail_rows = cursor.fetchall()
+    finally:
+        conn.close()
 
-        if not unnamed:
+    alias_map = {m['abstract_label']: m['real_name'] for m in members if m['real_name']}
+    feat_map = {m['abstract_label']: m['feature_description'] for m in members}
+    real_to_label = {v: k for k, v in alias_map.items()}
+
+    # 聚合每个真实人物出现的帧（时间升序）
+    person_frames = {}
+    for r in detail_rows:
+        for p in resolve_persons(r['person'], alias_map):
+            person_frames.setdefault(p, []).append(
+                (r['event_id'], r['frame_index'], r['frame_timestamp']))
+
+    named_keys = [k for k in person_frames if k in real_to_label]
     st.markdown(
-                '<div class="fam-empty"><span class="fe-ico">✅</span>'
-                '所有人物已命名，或暂未发现新人物</div>', unsafe_allow_html=True)
-        else:
-            for m in unnamed:
-                col1, col2, col3 = st.columns([2, 1.6, 1])
-                with col1:
-                    first_seen = serialize_datetime(m['first_seen_at'])
-                    st.markdown(
-                        f'<div class="member-card">'
-                        f'<div style="font-size:15px;font-weight:700;color:#8fb0ff;">'
-                        f'{esc(m["abstract_label"])}</div>'
-                        f'<div style="font-size:12px;color:#8b93a7;margin-top:6px;'
-                        f'line-height:1.6;">{esc(m["feature_description"] or "无特征描述")}</div>'
-                        f'<div style="font-size:11px;color:#64748b;margin-top:8px;">'
-                        f'首次出现 {esc(first_seen)} · 事件数 {m["event_count"]}</div>'
-                        f'</div>', unsafe_allow_html=True)
-                with col2:
-                    real_name = st.text_input(
-                        "输入名字", key=f"name_{m['abstract_label']}",
-                        placeholder=f"为{m['abstract_label']}命名",
-                        label_visibility="collapsed")
-                with col3:
-                    if st.button("命名", key=f"btn_{m['abstract_label']}",
-                                 type="primary", use_container_width=True):
-                        if real_name.strip():
+        f'<div style="font-size:12px;color:#8b93a7;margin:2px 0 16px 0;">'
+        f'共 <b style="color:#f1f5f9;">{len(person_frames)}</b> 人 · '
+        f'已命名 <b style="color:#7dd3fc;">{len(named_keys)}</b> · '
+        f'未命名 <b style="color:#fbbf24;">{len(person_frames) - len(named_keys)}</b>'
+        f'<span style="color:#64748b;">（与事件时间轴"出现人物"统计一致）</span></div>',
+        unsafe_allow_html=True)
+
+    def person_photo(frames):
+        for eid, fidx, _ in frames:
+            b64 = load_frame_b64(eid, fidx)
+            if b64:
+                return b64
+        return None
+
+    def do_name(label, new_name):
         try:
             resp = requests.post(
                 f"{_core_url}/api/member/name",
-                                    json={
-                                        "abstract_label": m['abstract_label'],
-                                        "real_name": real_name.strip(),
-                                        "named_by": "UI管理员"
-                                    },
-                                    timeout=10
-                                )
+                json={"abstract_label": label, "real_name": new_name, "named_by": "UI管理员"},
+                timeout=15)
             if resp.status_code == 200:
                 result = resp.json()
-                                    st.success(
-                                        f"命名成功！{m['abstract_label']} → {real_name}，"
-                                        f"更新明细 {result.get('updated_event_details_count', 0)} 条")
+                info = f"更新明细 {result.get('updated_event_details_count', 0)} 条"
+                if result.get('renamed_from'):
+                    info += f"（原 {result['renamed_from']}）"
+                st.success(f"已保存：{label} → {new_name}，{info}")
                 st.rerun()
             else:
-                                    st.error(f"命名失败: {resp.status_code} {resp.text}")
+                st.error(f"失败: {resp.status_code} {resp.text[:150]}")
         except Exception as e:
             st.error(f"异常: {e}")
+
+    if not person_frames:
+        st.markdown(
+            '<div class="fam-empty"><span class="fe-ico">👤</span>'
+            '暂未发现任何人物</div>', unsafe_allow_html=True)
+    else:
+        for key in sorted(person_frames, key=lambda k: -len(person_frames[k])):
+            frames = person_frames[key]
+            is_named = key in real_to_label
+            label = real_to_label.get(key, key)
+            feat = feat_map.get(label) or '暂无特征描述'
+            photo = person_photo(frames)
+            first_ts = parse_ts(frames[0][2])
+            last_ts = parse_ts(frames[-1][2])
+            first_str = first_ts.strftime('%m-%d %H:%M') if first_ts else '--'
+            last_str = last_ts.strftime('%m-%d %H:%M') if last_ts else '--'
+
+            col_photo, col_info, col_act = st.columns([0.9, 2.2, 1.4])
+            with col_photo:
+                if photo:
+                    st.markdown(
+                        f'<img src="data:image/jpeg;base64,{photo}" '
+                        f'style="width:100%;aspect-ratio:16/10;object-fit:cover;'
+                        f'border-radius:10px;border:1px solid #2b3648;">',
+                        unsafe_allow_html=True)
+                else:
+                    st.markdown(
+                        '<div style="width:100%;aspect-ratio:16/10;border-radius:10px;'
+                        'border:1px dashed #2b3648;display:flex;align-items:center;'
+                        'justify-content:center;color:#475569;font-size:22px;">📷</div>',
+                        unsafe_allow_html=True)
+            with col_info:
+                tag = (f'<span style="font-size:11px;color:#7dd3fc;background:#0e2233;'
+                       f'border:1px solid #164e63;padding:1px 8px;border-radius:10px;'
+                       f'margin-left:8px;">已命名 · {esc(label)}</span>') if is_named else \
+                      (f'<span style="font-size:11px;color:#fbbf24;background:#2a2107;'
+                       f'border:1px solid #713f12;padding:1px 8px;border-radius:10px;'
+                       f'margin-left:8px;">未命名</span>')
+                st.markdown(
+                    f'<div style="font-size:16px;font-weight:700;color:#f1f5f9;">'
+                    f'{esc(key)}{tag}</div>'
+                    f'<div style="font-size:12px;color:#8b93a7;margin-top:5px;line-height:1.6;">'
+                    f'{esc(feat)}</div>'
+                    f'<div style="font-size:11px;color:#64748b;margin-top:6px;">'
+                    f'出现 <b style="color:#cbd5e1;">{len(frames)}</b> 帧 · '
+                    f'{esc(first_str)} → {esc(last_str)}</div>',
+                    unsafe_allow_html=True)
+            with col_act:
+                placeholder = '输入新名字' if is_named else f'为「{key}」起名'
+                new_name = st.text_input(
+                    "名字", key=f"nm_{label}", placeholder=placeholder,
+                    label_visibility="collapsed")
+                if st.button("保存" if is_named else "命名", key=f"btn_{label}",
+                             type="primary", use_container_width=True):
+                    if new_name.strip():
+                        do_name(label, new_name.strip())
                     else:
                         st.warning("请输入名字")
-                st.markdown('<div style="height:8px"></div>', unsafe_allow_html=True)
-
-        st.markdown('<div style="font-size:15px;font-weight:700;color:#f1f5f9;'
-                    'margin:22px 0 14px 0;">已命名成员</div>', unsafe_allow_html=True)
-        cursor.execute(
-            """SELECT abstract_label, real_name, feature_description, first_seen_at, named_at, named_by
-               FROM family_members
-               WHERE real_name IS NOT NULL AND is_active = TRUE
-               ORDER BY named_at DESC"""
-        )
-        named = cursor.fetchall()
-
-        if not named:
-            st.markdown(
-                '<div class="fam-empty">暂无已命名成员</div>', unsafe_allow_html=True)
-        else:
-            cards = []
-            for m in named:
-                cards.append(
-                    f'<div class="member-card">'
-                    f'<div style="font-size:15px;font-weight:700;color:#f1f5f9;">'
-                    f'{esc(m["real_name"])} '
-                    f'<span style="font-size:11px;color:#64748b;font-weight:400;">'
-                    f'{esc(m["abstract_label"])}</span></div>'
-                    f'<div style="font-size:12px;color:#8b93a7;margin-top:6px;line-height:1.6;">'
-                    f'{esc(m["feature_description"] or "")}</div>'
-                    f'<div style="font-size:11px;color:#64748b;margin-top:8px;">'
-                    f'首次出现 {esc(serialize_datetime(m["first_seen_at"]))} · '
-                    f'命名于 {esc(serialize_datetime(m["named_at"]))}</div>'
-                    f'</div>')
-            st.markdown(f'<div class="member-grid">{"".join(cards)}</div>',
-                        unsafe_allow_html=True)
-
-    finally:
-        conn.close()
+            st.markdown('<div style="height:10px"></div>', unsafe_allow_html=True)
 
 
 # ============================================================