Merge branch 'main' of github.com:HuangMason320/cluster4npu

cluster4npu_ui/core/functions/InferencePipeline.py

@@ -168,7 +168,7 @@ class PipelineStage:
         print(f"[Stage {self.stage_id}] Worker loop stopped")
     
     def _has_inference_result(self, processed_data) -> bool:
-        """Check if processed_data contains a valid inference result"""
+        """Check if processed_data contains a valid inference result (like standalone code)"""
         if not processed_data:
             return False
         
@@ -177,15 +177,19 @@ class PipelineStage:
             if hasattr(processed_data, 'stage_results') and processed_data.stage_results:
                 stage_result = processed_data.stage_results.get(self.stage_id)
                 if stage_result:
-                    # Check for tuple result (prob, result_str)
+                    # Check for tuple result (prob, result_str) - like standalone code
                     if isinstance(stage_result, tuple) and len(stage_result) == 2:
                         prob, result_str = stage_result
                         return prob is not None and result_str is not None
-                    # Check for dict result with actual inference data
+                    # Check for dict result with actual inference data (not status messages)
                     elif isinstance(stage_result, dict):
-                        return (stage_result.get("status") != "processing" and 
-                               stage_result.get("status") != "async" and
-                               stage_result)
+                        # Don't count "Processing" or "async" status as real results
+                        if stage_result.get("status") in ["processing", "async"]:
+                            return False
+                        # Don't count empty results
+                        if not stage_result or stage_result.get("result") == "Processing":
+                            return False
+                        return True
                     else:
                         return stage_result is not None
         except Exception:
@@ -227,10 +231,10 @@ class PipelineStage:
             
             # Step 3: MultiDongle inference
             if isinstance(processed_data, np.ndarray):
-                self.multidongle.put_input(processed_data, 'BGR565', block=False)
+                self.multidongle.put_input(processed_data, 'BGR565')
             
             # Get inference result (non-blocking, async pattern like standalone code)
-            result = self.multidongle.get_latest_inference_result(timeout=0.001)
+            result = self.multidongle.get_latest_inference_result()
             
             # Process result if available - only count actual inference results for FPS
             inference_result = None