feat: 更新分割模型参数 ; fix:

app/api/api_design.py

@@ -395,7 +395,8 @@ async def seg_anything(request_data: SAMRequestModel):
     通过传入图片路径和点击的点坐标，返回分割后的掩码数据。
 
     ### 参数说明:
-    - **user_id**:用户id 用于存储分割图
+    - **bucket**: minio bucket name
+    - **object_name**: minio object name
     - **image_path**: 图片在服务器或云端的相对路径。
     - **type**: 推理类型
     - **box**: 框选矩形点位信息
@@ -408,8 +409,8 @@ async def seg_anything(request_data: SAMRequestModel):
     ```json
     point
     {
-        "user_id": 1,
-        "image_path": "aida-users/89/sketch/4e8fe37d-7068-400a-ac94-c01647fa5f6f.png",
+        "bucket": "test",
+        "object_name": "7068-400a-ac94-c01647fa5f6f.png",
         "type":"point",
         "points": [[310, 403], [493, 375], [261, 266], [404, 484]],
         "labels": [1, 1, 0, 1]
@@ -417,7 +418,8 @@ async def seg_anything(request_data: SAMRequestModel):
 
     box
     {
-        "user_id": 1,
+        "bucket": "test",
+        "object_name": "7068-400a-ac94-c01647fa5f6f.png",
         "image_path": "aida-users/89/sketch/4e8fe37d-7068-400a-ac94-c01647fa5f6f.png",
         "type":"box",
         "box": [350, 286, 544, 520]

app/schemas/design.py

@@ -4,7 +4,8 @@ from pydantic import BaseModel, Field
 
 
 class SAMRequestModel(BaseModel):
-    user_id: int = Field(..., description="用户id, 必填字段")
+    bucket: str = Field(..., description="minio bucket name ")
+    object_name: str = Field(..., description="minio object name ")
     image_path: str = Field(..., description="图片路径，必填字段")
     type: str = Field(..., description="推理类型，必填字段")
     points: Optional[List[List[float]]] = None