prevent unnecessary early exit from loop

README.md

@@ -13,7 +13,7 @@ This results in a MJPEG stream with objects identified that has a lower latency
 ## Getting Started
 Build the container with
 ```
-docker build -t realtime-od .
+docker build -t frigate .
 ```
 
 Download a model from the [zoo](https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md).
@@ -31,7 +31,7 @@ docker run --rm \
 -e MQTT_HOST='your.mqtthost.com' \
 -e MQTT_TOPIC_PREFIX='cameras/1' \
 -e DEBUG='0' \
-realtime-od:latest
+frigate:latest
 ```
 
 Example compose:
@@ -39,7 +39,7 @@ Example compose:
   frigate:
     container_name: frigate
     restart: unless-stopped
-    image: realtime-od:latest
+    image: frigate:latest
     volumes:
       - <path_to_frozen_detection_graph.pb>:/frozen_inference_graph.pb:ro
       - <path_to_labelmap.pbtext>:/label_map.pbtext:ro

frigate/motion.py

@@ -70,11 +70,6 @@ def detect_motion(shared_arr, shared_frame_time, frame_lock, frame_ready, motion
         cnts = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
         cnts = imutils.grab_contours(cnts)
 
-        # if there are no contours, there is no motion
-        if len(cnts) < 1:
-            motion_frames = 0
-            continue
-
         motion_found = False
 
         # loop over the contours