clarify comment

README.md

@@ -25,7 +25,7 @@ docker run --rm \
 -v <path_to_labelmap.pbtext>:/label_map.pbtext:ro \
 -p 5000:5000 \
 -e RTSP_URL='<rtsp_url>' \
--e REGIONS='<box_size_1>,<x_offset_1>,<y_offset_1>,<min_object_size_1>:<box_size_2>,<x_offset_2>,<y_offset_2>,<min_object_size_2>' \
+-e REGIONS='<box_size_1>,<x_offset_1>,<y_offset_1>,<min_object_size_1>,<mask_file_1>:<box_size_2>,<x_offset_2>,<y_offset_2>,<min_object_size_2>,<mask_file_2>' \
 -e MQTT_HOST='your.mqtthost.com' \
 -e MQTT_MOTION_TOPIC='cameras/1/motion' \
 -e MQTT_OBJECT_TOPIC='cameras/1/objects' \

detect_objects.py

@@ -470,9 +470,9 @@ def detect_motion(shared_arr, shared_frame_time, frame_lock, frame_ready, motion
             avg_delta = frameDelta.copy().astype("float")
 
         # compute the average delta over the past few frames
-        # the alpha value can be modified to configure how sensitive the motion detection is
+        # the alpha value can be modified to configure how sensitive the motion detection is.
         # higher values mean the current frame impacts the delta a lot, and a single raindrop may
-        # put it over the edge, too low and a fast moving person wont be detected as motion
+        # register as motion, too low and a fast moving person wont be detected as motion
         # this also assumes that a person is in the same location across more than a single frame
         cv2.accumulateWeighted(frameDelta, avg_delta, 0.2)