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

project/hair_service_sd/upload_oss.py

@@ -0,0 +1,32 @@
+import time
+
+import oss2
+import os
+
+class OSS_object():
+    def __init__(self):
+        access_key_id = os.getenv('OSS_TEST_ACCESS_KEY_ID', '<your-access-key-id>')
+        access_key_secret = os.getenv('OSS_TEST_ACCESS_KEY_SECRET', '<your-access-key-secret>')
+        bucket_name = os.getenv('OSS_TEST_BUCKET', '<your-bucket-name>')
+        endpoint = os.getenv('OSS_TEST_ENDPOINT', '<your-endpoint>')
+        for param in (access_key_id, access_key_secret, bucket_name, endpoint):
+            assert '<' not in param, '请设置环境变量 OSS_TEST_ACCESS_KEY_ID / OSS_TEST_ACCESS_KEY_SECRET / OSS_TEST_BUCKET / OSS_TEST_ENDPOINT'
+
+        self.bucket = oss2.Bucket(oss2.Auth(access_key_id, access_key_secret), endpoint, bucket_name)
+
+    def upload_file(self, file, target_name):
+        t0 = time.time()
+        with open(oss2.to_unicode(file), 'rb') as f:
+            ret = self.bucket.put_object(target_name, f)
+            print(ret.headers['x-oss-request-id'])
+
+        url = "https://oss-aidigitalfield.oss-cn-beijing.aliyuncs.com/{}".format(target_name)
+        print('耗时：{},签名url的地址为：{}'.format(time.time() - t0, url))
+        return url
+
+
+if __name__ == '__main__':
+    oss_2 = OSS_object()
+    t0 = time.time()
+    url = oss_2.upload_file('/home/szlc/Downloads/多中心录入模版.xlsx', 'tongji/多中心录入模版.xlsx')
+    print('url:', url)