Mirrors/blakeblackshear.frigate
1
0
Fork 0
mirror of https://github.com/blakeblackshear/frigate.git synced 2024-11-21 19:07:46 +01:00
Code Issues Projects Releases Wiki Activity

prevent unnecessary early exit from loop

Browse Source
This commit is contained in:
blakeblackshear 2019-03-02 15:20:53 -06:00
parent 5dc76803d6
commit e597a08a66
2 changed files with 3 additions and 8 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
README.md
View File

@ -13,7 +13,7 @@ This results in a MJPEG stream with objects identified that has a lower latency
## Getting Started ## Getting Started
Build the container with 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). 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_HOST='your.mqtthost.com' \
-e MQTT_TOPIC_PREFIX='cameras/1' \ -e MQTT_TOPIC_PREFIX='cameras/1' \
-e DEBUG='0' \ -e DEBUG='0' \
realtime-od:latest frigate:latest
``` ```
Example compose: Example compose:
@ -39,7 +39,7 @@ Example compose:
frigate: frigate:
container_name: frigate container_name: frigate
restart: unless-stopped restart: unless-stopped
image: realtime-od:latest image: frigate:latest
volumes: volumes:
- <path_to_frozen_detection_graph.pb>:/frozen_inference_graph.pb:ro - <path_to_frozen_detection_graph.pb>:/frozen_inference_graph.pb:ro
- <path_to_labelmap.pbtext>:/label_map.pbtext:ro - <path_to_labelmap.pbtext>:/label_map.pbtext:ro

5
frigate/motion.py
View File

@ -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 = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
cnts = imutils.grab_contours(cnts) 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 motion_found = False
# loop over the contours # loop over the contours