update sample config

config/config.example.yml

@@ -215,6 +215,7 @@ cameras:
     snapshots:
       show_timestamp: True
       draw_zones: False
+      draw_bounding_boxes: True
 
     ################
     # Camera level object config. If defined, this is used instead of the global config.

detect_objects.py

@@ -164,7 +164,8 @@ def main():
     for name, config in CONFIG['cameras'].items():
         config['snapshots'] = {
             'show_timestamp': config.get('snapshots', {}).get('show_timestamp', True),
-            'draw_zones': config.get('snapshots', {}).get('draw_zones', False)
+            'draw_zones': config.get('snapshots', {}).get('draw_zones', False),
+            'draw_bounding_boxes': config.get('snapshots', {}).get('draw_bounding_boxes', True)
         }
         config['zones'] = config.get('zones', {})
 
@@ -312,7 +313,7 @@ def main():
                 shm.close()
                 shm.unlink()
 
-        for detector in detectors:
+        for detector in detectors.values():
             detector.stop()
         for shm in camera_shms:
             shm.close()
@@ -388,9 +389,11 @@ def main():
     def best(camera_name, label):
         if camera_name in CONFIG['cameras']:
             best_object = object_processor.get_best(camera_name, label)
-            best_frame = best_object.get('frame', np.zeros((720,1280,3), np.uint8))
+            best_frame = best_object.get('frame')
-
+            if best_frame is None:
-            best_frame = cv2.cvtColor(best_frame, cv2.COLOR_YUV2BGR_I420)
+                best_frame = np.zeros((720,1280,3), np.uint8)
+            else:
+                best_frame = cv2.cvtColor(best_frame, cv2.COLOR_YUV2BGR_I420)
             
             crop = bool(request.args.get('crop', 0, type=int))
             if crop:

frigate/object_processing.py

@@ -181,10 +181,12 @@ class CameraState():
             # check each zone
             for name, zone in self.config['zones'].items():
                 contour = zone['contour']
-                # check if the object is in the zone and not filtered
+                # check if the object is in the zone
-                if (cv2.pointPolygonTest(contour, bottom_center, False) >= 0 
+                if (cv2.pointPolygonTest(contour, bottom_center, False) >= 0):
-                    and not zone_filtered(obj, zone.get('filters', {}))):
+                    # if the object passed the filters once, dont apply again
-                    current_zones.append(name)
+                    if name in obj.get('zones', []) or not zone_filtered(obj, zone.get('filters', {})):
+                        current_zones.append(name)
+                    
             obj['zones'] = current_zones
 
         # maintain best objects
@@ -266,7 +268,14 @@ class TrackedObjectProcessor(threading.Thread):
         def snapshot(camera, obj):
             if not 'frame' in obj:
                 return
+            
             best_frame = cv2.cvtColor(obj['frame'], cv2.COLOR_YUV2BGR_I420)
+            if self.camera_config[camera]['snapshots']['draw_bounding_boxes']:
+                thickness = 2
+                color = COLOR_MAP[obj['label']]
+                box = obj['box']
+                draw_box_with_label(best_frame, box[0], box[1], box[2], box[3], obj['label'], f"{int(obj['score']*100)}% {int(obj['area'])}", thickness=thickness, color=color)
+                
             mqtt_config = self.camera_config[camera].get('mqtt', {'crop_to_region': False})
             if mqtt_config.get('crop_to_region'):
                 region = obj['region']
@@ -275,6 +284,16 @@ class TrackedObjectProcessor(threading.Thread):
                 height = int(mqtt_config['snapshot_height'])
                 width = int(height*best_frame.shape[1]/best_frame.shape[0])
                 best_frame = cv2.resize(best_frame, dsize=(width, height), interpolation=cv2.INTER_AREA)
+            
+            if self.camera_config[camera]['snapshots']['show_timestamp']:
+                time_to_show = datetime.datetime.fromtimestamp(obj['frame_time']).strftime("%m/%d/%Y %H:%M:%S")
+                size = cv2.getTextSize(time_to_show, cv2.FONT_HERSHEY_SIMPLEX, fontScale=1, thickness=2)
+                text_width = size[0][0]
+                text_height = size[0][1]
+                desired_size = max(200, 0.33*best_frame.shape[1])
+                font_scale = desired_size/text_width
+                cv2.putText(best_frame, time_to_show, (5, best_frame.shape[0]-7), cv2.FONT_HERSHEY_SIMPLEX, fontScale=font_scale, color=(255, 255, 255), thickness=2)
+
             ret, jpg = cv2.imencode('.jpg', best_frame)
             if ret:
                 jpg_bytes = jpg.tobytes()