prevent the camera process from hanging

Frigate provides an HTTP server that can be used to detect if frigate is running or not. Using the docker-compose "healthcheck" feature we can set automations to restart the service if it stops working.

Makefile

@@ -12,26 +12,26 @@ amd64_frigate:
 
 amd64_all: amd64_wheels amd64_ffmpeg amd64_frigate
 
-aarch64_wheels:
-	docker build --tag blakeblackshear/frigate-wheels:aarch64 --file docker/Dockerfile.wheels.aarch64 .
+arm64_wheels:
+	docker build --tag blakeblackshear/frigate-wheels:arm64 --file docker/Dockerfile.wheels.arm64 .
 
-aarch64_ffmpeg:
-	docker build --tag blakeblackshear/frigate-ffmpeg:aarch64 --file docker/Dockerfile.ffmpeg.aarch64 .
+arm64_ffmpeg:
+	docker build --tag blakeblackshear/frigate-ffmpeg:arm64 --file docker/Dockerfile.ffmpeg.arm64 .
 
-aarch64_frigate:
-	docker build --tag frigate-base --build-arg ARCH=aarch64 --file docker/Dockerfile.base .
-	docker build --tag frigate --file docker/Dockerfile.aarch64 .
+arm64_frigate:
+	docker build --tag frigate-base --build-arg ARCH=arm64 --file docker/Dockerfile.base .
+	docker build --tag frigate --file docker/Dockerfile.arm64 .
 
-armv7_all: armv7_wheels armv7_ffmpeg armv7_frigate
+armv7hf_all: arm64_wheels arm64_ffmpeg arm64_frigate
 
-armv7_wheels:
-	docker build --tag blakeblackshear/frigate-wheels:armv7 --file docker/Dockerfile.wheels .
+armv7hf_wheels:
+	docker build --tag blakeblackshear/frigate-wheels:armv7hf --file docker/Dockerfile.wheels .
 
-armv7_ffmpeg:
-	docker build --tag blakeblackshear/frigate-ffmpeg:armv7 --file docker/Dockerfile.ffmpeg.armv7 .
+armv7hf_ffmpeg:
+	docker build --tag blakeblackshear/frigate-ffmpeg:armv7hf --file docker/Dockerfile.ffmpeg.armv7hf .
 
-armv7_frigate:
-	docker build --tag frigate-base --build-arg ARCH=armv7 --file docker/Dockerfile.base .
-	docker build --tag frigate --file docker/Dockerfile.armv7 .
+armv7hf_frigate:
+	docker build --tag frigate-base --build-arg ARCH=armv7hf --file docker/Dockerfile.base .
+	docker build --tag frigate --file docker/Dockerfile.armv7hf .
 
-armv7_all: armv7_wheels armv7_ffmpeg armv7_frigate
+armv7hf_all: armv7hf_wheels armv7hf_ffmpeg armv7hf_frigate

README.md

@@ -31,7 +31,7 @@ docker run --rm \
 -v /etc/localtime:/etc/localtime:ro \
 -p 5000:5000 \
 -e FRIGATE_RTSP_PASSWORD='password' \
-blakeblackshear/frigate:0.7.0-amd64
+blakeblackshear/frigate:stable
 ```
 
 Example docker-compose:
@@ -41,7 +41,7 @@ Example docker-compose:
     restart: unless-stopped
     privileged: true
     shm_size: '100m' # only needed with large numbers of high res cameras
-    image: blakeblackshear/frigate:0.7.0-amd64
+    image: blakeblackshear/frigate:stable
     volumes:
       - /dev/bus/usb:/dev/bus/usb
       - /etc/localtime:/etc/localtime:ro

config/config.example.yml

@@ -31,8 +31,6 @@ save_clips:
   # will begin to expire and the resulting clip will be the last x seconds of the event.
   ###########
   max_seconds: 300
-  clips_dir: /clips
-  cache_dir: /cache
 
 #################
 # Default ffmpeg args. Optional and can be overwritten per camera.
@@ -217,7 +215,6 @@ 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

@@ -9,7 +9,6 @@ import time
 import datetime
 import queue
 import yaml
-import json
 import threading
 import multiprocessing as mp
 import subprocess as sp
@@ -26,22 +25,8 @@ from frigate.edgetpu import EdgeTPUProcess
 
 FRIGATE_VARS = {k: v for k, v in os.environ.items() if k.startswith('FRIGATE_')}
 
-CONFIG_FILE = os.environ.get('CONFIG_FILE', '/config/config.yml')
-
-if CONFIG_FILE.endswith(".yml"):
-    with open(CONFIG_FILE) as f:
-        CONFIG = yaml.safe_load(f)
-elif CONFIG_FILE.endswith(".json"):
-    with open(CONFIG_FILE) as f:
-        CONFIG = json.load(f)
-
-CACHE_DIR = CONFIG.get('save_clips', {}).get('cache_dir', '/cache')
-CLIPS_DIR = CONFIG.get('save_clips', {}).get('clips_dir', '/clips')
-
-if not os.path.exists(CACHE_DIR) and not os.path.islink(CACHE_DIR):
-    os.makedirs(CACHE_DIR)
-if not os.path.exists(CLIPS_DIR) and not os.path.islink(CLIPS_DIR):
-    os.makedirs(CLIPS_DIR)
+with open('/config/config.yml') as f:
+    CONFIG = yaml.safe_load(f)
 
 MQTT_HOST = CONFIG['mqtt']['host']
 MQTT_PORT = CONFIG.get('mqtt', {}).get('port', 1883)
@@ -179,8 +164,7 @@ 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_bounding_boxes': config.get('snapshots', {}).get('draw_bounding_boxes', True)
+            'draw_zones': config.get('snapshots', {}).get('draw_zones', False)
         }
         config['zones'] = config.get('zones', {})
 
@@ -238,7 +222,7 @@ def main():
                 "-an",
                 "-map",
                 "0",
-                f"{os.path.join(CACHE_DIR, name)}-%Y%m%d%H%M%S.mp4"
+                f"/cache/{name}-%Y%m%d%H%M%S.mp4"
             ] + ffmpeg_output_args
         ffmpeg_cmd = (['ffmpeg'] +
                 ffmpeg_global_args +
@@ -304,7 +288,7 @@ def main():
         camera_process['process'].start()
         print(f"Camera_process started for {name}: {camera_process['process'].pid}")
 
-    event_processor = EventProcessor(CONFIG, camera_processes, CACHE_DIR, CLIPS_DIR, event_queue, stop_event)
+    event_processor = EventProcessor(CONFIG, camera_processes, '/cache', '/clips', event_queue, stop_event)
     event_processor.start()
     
     object_processor = TrackedObjectProcessor(CONFIG['cameras'], client, MQTT_TOPIC_PREFIX, tracked_objects_queue, event_queue, stop_event)
@@ -328,7 +312,7 @@ def main():
                 shm.close()
                 shm.unlink()
 
-        for detector in detectors.values():
+        for detector in detectors:
             detector.stop()
         for shm in camera_shms:
             shm.close()
@@ -404,11 +388,9 @@ 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')
-            if best_frame is None:
-                best_frame = np.zeros((720,1280,3), np.uint8)
-            else:
-                best_frame = cv2.cvtColor(best_frame, cv2.COLOR_YUV2BGR_I420)
+            best_frame = best_object.get('frame', np.zeros((720,1280,3), np.uint8))
+
+            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

@@ -181,12 +181,10 @@ class CameraState():
             # check each zone
             for name, zone in self.config['zones'].items():
                 contour = zone['contour']
-                # check if the object is in the zone
-                if (cv2.pointPolygonTest(contour, bottom_center, False) >= 0):
-                    # if the object passed the filters once, dont apply again
-                    if name in obj.get('zones', []) or not zone_filtered(obj, zone.get('filters', {})):
-                        current_zones.append(name)
-                    
+                # check if the object is in the zone and not filtered
+                if (cv2.pointPolygonTest(contour, bottom_center, False) >= 0 
+                    and not zone_filtered(obj, zone.get('filters', {}))):
+                    current_zones.append(name)
             obj['zones'] = current_zones
 
         # maintain best objects
@@ -268,14 +266,7 @@ 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']
@@ -284,16 +275,6 @@ 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()