feat: seg any thing 新增box模式

app/api/api_design.py

@@ -395,6 +395,8 @@ async def seg_anything(request_data: SAMRequestModel):
 
     ### 参数说明:
     - **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
     - **points**: 交互点的坐标列表。每个点为 [x, y] 像素格式。
     - **labels**: 坐标点的属性标签，必须与 points 长度一致：
         - 1: **前景点** (代表想要分割出的区域)
@@ -402,10 +404,19 @@ async def seg_anything(request_data: SAMRequestModel):
 
     ### 请求体示例:
     ```json
+    point
     {
         "image_path": "aida-users/89/sketch/4e8fe37d-7068-400a-ac94-c01647fa5f6f.png",
+        "type":"point",
         "points": [[310, 403], [493, 375], [261, 266], [404, 484]],
-        "labels": [1, 1, 0, 1]
+        "labels": [1, 1, 0, 1],
+    }
+
+    box
+    {
+        "image_path": "aida-users/89/sketch/4e8fe37d-7068-400a-ac94-c01647fa5f6f.png",
+        "type":"box",
+        "box": [350, 286, 544, 520],
     }
     ```
     """

app/schemas/design.py

@@ -1,10 +1,14 @@
-from pydantic import BaseModel
+from typing import List, Optional
+
+from pydantic import BaseModel, Field
 
 
 class SAMRequestModel(BaseModel):
-    image_path: str
-    points: list[list[float]]
-    labels: list[int]
+    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
+    labels: Optional[List[int]] = None
+    box: Optional[List[int]] = None
 
 
 class DesignModel(BaseModel):