feat: sync live-count, exemplar annotation modules, and update .gitignore

backend/api/batches.py

@@ -36,6 +36,11 @@ class AutolabelRequest(BaseModel):
     append: bool = False
     custom_model_path: Optional[str] = None
 
+class Exemplar(BaseModel):
+    box: list[float]          # [cx, cy, w, h], normalized 0..1
+    positive: bool = True
+
+
 class PreviewRequest(BaseModel):
     frame_id: int
     engine: str
@@ -44,6 +49,10 @@ class PreviewRequest(BaseModel):
     min_box_frac: float = 0.0
     target_class_names: Optional[list[str]] = None
     custom_model_path: Optional[str] = None
+    # Drawn box exemplars (REQ-172): normalized cxcywh, positive or negative.
+    # Preview-only — `autolabel.start` deliberately has no equivalent.
+    exemplars: Optional[list[Exemplar]] = None
+    exemplar_class_name: Optional[str] = None
 
 
 @router.post("/api/projects/{project_id}/batches")
@@ -162,14 +171,14 @@ async def autolabel_with_model(
 
 @router.post("/api/batches/{batch_id}/preview")
 def preview_autolabel(batch_id: int, request: PreviewRequest) -> dict:
-    from backend import autolabel, jobs
+    from backend import jobs, preview
 
     if not jobs.gpu_lock.acquire(timeout=20):
         busy = jobs.running_types()
         kind = busy[0] if busy else "background"
         raise HTTPException(409, f"The GPU is busy with a {kind} job — wait for it to finish")
     try:
-        shapes = autolabel.preview_frame(
+        shapes = preview.preview_frame(
             batch_id=batch_id,
             frame_id=request.frame_id,
             engine=request.engine,
@@ -177,7 +186,9 @@ def preview_autolabel(batch_id: int, request: PreviewRequest) -> dict:
             iou_threshold=request.iou_threshold,
             min_box_frac=request.min_box_frac,
             target_class_names=request.target_class_names,
-            custom_model_path=request.custom_model_path
+            custom_model_path=request.custom_model_path,
+            exemplars=[e.model_dump() for e in request.exemplars or []],
+            exemplar_class_name=request.exemplar_class_name,
         )
         return {"shapes": shapes}
     except Exception as exc: