初始化：换发型/换发色/训练发型服务

包含：
- hair_service_sd: 主服务（换发型/换发色/生发，端口8801）
- photo_service: LoRA调度+训练（端口32678）
- hair_grow_service: 调试测试页（端口8888，含4个测试页）
- 批量训练脚本（batch_train_hairstyles.py）
- 发际线mask自动识别（hairline_mask.py，4种方案）
- 手绘mask换发型（hair_swap_manual.py）
- 文档：README.md + LARGE_FILES.md + docs/

大文件（模型权重200G、训练数据123G）已排除，见 LARGE_FILES.md
OSS/COS密钥已脱敏为环境变量，原文件备份在本地

test_haircolor.py

@@ -0,0 +1,32 @@
+#!/usr/bin/env python3
+"""换发色接口测试"""
+import base64, json, requests, sys
+
+img_path = "/home/xsl/change_hair/project/data/userImage/8488902485_20250630055547.jpg"
+with open(img_path, "rb") as f:
+    img_b64 = base64.b64encode(f.read()).decode()
+
+payload = {
+    "img": "data:image/jpeg;base64," + img_b64,
+    "userId": "test_xsl",
+    "rgb": [255, 0, 0],   # 红色
+    "output_format": "base64"
+}
+
+print("=== 调用换发色 /hairColor/v2 (红色 rgb=[255,0,0]) ===")
+try:
+    r = requests.post("http://127.0.0.1:8801/hairColor/v2", json=payload, timeout=180)
+    d = r.json()
+    print(f"HTTP {r.status_code} | msg={d.get('msg')} | state={d.get('state')}")
+    result = d.get("result", "")
+    if d.get("state") == 0 and result:
+        # 保存结果图
+        out = "/home/xsl/change_hair/project/logs/test_haircolor_result.jpg"
+        with open(out, "wb") as f:
+            f.write(base64.b64decode(result))
+        print(f"✅ 换发色成功! 结果图已保存: {out} ({len(result)} bytes base64)")
+    else:
+        print(f"❌ 换发色失败: {d}")
+except Exception as e:
+    print(f"❌ 请求异常: {e}")
+    sys.exit(1)