增加了单帧入侵判断及yoloV10

realtime/event_time_specify.py

@@ -123,25 +123,28 @@ def devide_motion_state(tboxes, width):
     
     '''
 
-    periods = []
-    if len(tboxes) < width: 
-        return periods
-        
     fboxes, frameTstamp = array2frame(tboxes)
 
     fnum = len(frameTstamp)
-    if fnum < width: return periods
 
     state = np.zeros((fnum, 2), dtype=np.int64)
     frameState = np.concatenate((frameTstamp, state), axis = 1).astype(np.int64)
     handState = np.concatenate((frameTstamp, state), axis = 1).astype(np.int64)
     
+    
+    
+    if fnum < width: 
+        return frameState, handState
+    
     mtrackFid = {}
     handFid = {}
     '''frameState 标记由图像判断的购物车状态：0: 静止，1: 运动'''
     for idx in range(width, fnum+1):
         idx0 = idx-width
         
+        # if idx == 40:
+        #     print("123")
+        
         lboxes = np.concatenate(fboxes[idx0:idx], axis = 0)
         md = MoveDetect(lboxes)
         md.classify()