frigate-hass-integration
frigate-hass-integration copied to clipboard
Published
20 hours ago •
blakeblackshear
blakeblackshear
person cameras not updating since upgrade
Version of the custom_component
3.0.0
Configuration
alias: Front Door Motion Notification
description: Send push notification to people
trigger:
- platform: state
entity_id:
- binary_sensor.front_door_motion
to: "on"
condition:
- condition: template
value_template: >-
{{ (as_timestamp(now()) -
as_timestamp(states.automation.front_door_motion_notification.attributes.last_triggered
| default(0)) | int > 300)}}
action:
- service: |-
{% if (is_state("input_boolean.person1_notify", "on")) -%}
notify.notify_person1
{% elif (is_state("input_boolean.person2_notify", "on")) %}
notify.notify_person1
{% else %}
notify.notify_person3
{% endif %}
data:
message: Person at Door
title: Front Door
data:
entity_id: camera.front_door_person
tag: front_door
mode: single
Describe the bug
I think this is just a mistake on my part but it seems the cameras for specific objects dont seem to be working, were they removed?
as you can see in the automation above. i had it set that when it triggers a person object at the front door it is supposed to send a screenshot of the camera.front_door_person which was working up until 0.11 release. are these object cameras no longer supported? i couldnt really find anything about it in the docs and it seems the design is now to pull the info from MQTT. is that right?
Debug log
Try using MQTT explorer and see if the snapshot topic is being entered. We didn't change anything with that so it should still be working as before.
similar issue for me, re-install of my mqtt addon has got things closer... but now many of my entities say unavailable
seems that the retained messages werent cleared up during upgrade. removing the messages looks like it solved the problem. will continue to monitor though
Scratch that. Seems to still be showing the old image again. Now it's stuck on the image after I cleared the retainer message
I just installed the frigate and frigate integration. Same here, I cannot get the person camera entity to show anything on all my cameras. Though I can see the thumbs.
it does not appear that frigate is updating the image in the frigate/
it does not appear that frigate is updating the image in the frigate//person/snapshot anymore
Again would recommend checking MQTT explorer and others along with providing your actual frigate config. Using MQTT explorer I can see that the images are being updated and the integration is showing the most recent image as well
above is the image for what i see on MQTT and below is my configuration:
---
detectors:
coral:
type: edgetpu
device: usb
mqtt:
host: <Hostname>
user: <user>
password: <Pass>
client_id: frigate
# Optional: logger verbosity settings
logger:
# Optional: Default log verbosity (default: shown below)
default: info
# Optional: Component specific logger overrides
#logs:
# frigate.event: debug
ffmpeg:
global_args:
- -hide_banner
- -loglevel
- error
hwaccel_args:
- -hwaccel
- cuda
input_args:
- -c:v
- h264_cuvid
- -strict
- experimental
- -avoid_negative_ts
- make_zero
- -fflags
- nobuffer
- -fflags
- +igndts
- -flags
- low_delay
- -fflags
- +genpts+discardcorrupt
- -rtsp_transport
- -use_wallclock_as_timestamps
- '1'
output_args:
# Optional: output args for detect streams (default: shown below)
detect: -f rawvideo -pix_fmt yuv420p
# Optional: output args for record streams (default: shown below)
record: -f segment -segment_time 10 -segment_format mp4 -reset_timestamps 1 -strftime 1 -c:v copy -c:a aac
# Optional: output args for rtmp streams (default: shown below)
rtmp: -c copy -f flv
# Optional: Detect configuration
# NOTE: Can be overridden at the camera level
detect:
# Optional: width of the frame for the input with the detect role (default: shown below)
width: 1920
# Optional: height of the frame for the input with the detect role (default: shown below)
height: 1080
# Optional: desired fps for your camera for the input with the detect role (default: shown below)
# NOTE: Recommended value of 5. Ideally, try and reduce your FPS on the camera.
fps: 5
# Optional: enables detection for the camera (default: True)
# This value can be set via MQTT and will be updated in startup based on retained value
enabled: True
# Optional: Number of frames without a detection before frigate considers an object to be gone. (default: 5x the frame rate)
max_disappeared: 25
# Optional: Configuration for stationary object tracking
stationary:
# Optional: Frequency for confirming stationary objects (default: shown below)
# When set to 0, object detection will not confirm stationary objects until movement is detected.
# If set to 10, object detection will run to confirm the object still exists on every 10th frame.
interval: 0
# Optional: Number of frames without a position change for an object to be considered stationary (default: 10x the frame rate or 10s)
threshold: 50
# Optional: Define a maximum number of frames for tracking a stationary object (default: not set, track forever)
# This can help with false positives for objects that should only be stationary for a limited amount of time.
# It can also be used to disable stationary object tracking. For example, you may want to set a value for person, but leave
# car at the default.
# WARNING: Setting these values overrides default behavior and disables stationary object tracking.
# There are very few situations where you would want it disabled. It is NOT recommended to
# copy these values from the example config into your config unless you know they are needed.
max_frames:
# Optional: Default for all object types (default: not set, track forever)
default: 3000
# Optional: Object specific values
objects:
person: 1000
# Optional: Object configuration
# NOTE: Can be overridden at the camera level
objects:
# Optional: list of objects to track from labelmap.txt (default: shown below)
#track:
# - person
# Optional: mask to prevent all object types from being detected in certain areas (default: no mask)
# Checks based on the bottom center of the bounding box of the object.
# NOTE: This mask is COMBINED with the object type specific mask below
#mask: 0,0,1000,0,1000,200,0,200
# Optional: filters to reduce false positives for specific object types
filters:
person:
# Optional: minimum width*height of the bounding box for the detected object (default: 0)
min_area: 5000
# Optional: maximum width*height of the bounding box for the detected object (default: 24000000)
max_area: 100000
# Optional: minimum score for the object to initiate tracking (default: shown below)
min_score: 0.5
# Optional: minimum decimal percentage for tracked object's computed score to be considered a true positive (default: shown below)
threshold: 0.7
# Optional: mask to prevent this object type from being detected in certain areas (default: no mask)
# Checks based on the bottom center of the bounding box of the object
#mask: 0,0,1000,0,1000,200,0,200
# Optional: Motion configuration
# NOTE: Can be overridden at the camera level
motion:
# Optional: The threshold passed to cv2.threshold to determine if a pixel is different enough to be counted as motion. (default: shown below)
# Increasing this value will make motion detection less sensitive and decreasing it will make motion detection more sensitive.
# The value should be between 1 and 255.
threshold: 25
# Optional: Minimum size in pixels in the resized motion image that counts as motion (default: 30)
# Increasing this value will prevent smaller areas of motion from being detected. Decreasing will
# make motion detection more sensitive to smaller moving objects.
# As a rule of thumb:
# - 15 - high sensitivity
# - 30 - medium sensitivity
# - 50 - low sensitivity
contour_area: 30
# Optional: Alpha value passed to cv2.accumulateWeighted when averaging the motion delta across multiple frames (default: shown below)
# Higher values mean the current frame impacts the delta a lot, and a single raindrop may register as motion.
# Too low and a fast moving person wont be detected as motion.
delta_alpha: 0.2
# Optional: Alpha value passed to cv2.accumulateWeighted when averaging frames to determine the background (default: shown below)
# Higher values mean the current frame impacts the average a lot, and a new object will be averaged into the background faster.
# Low values will cause things like moving shadows to be detected as motion for longer.
# https://www.geeksforgeeks.org/background-subtraction-in-an-image-using-concept-of-running-average/
frame_alpha: 0.2
# Optional: Height of the resized motion frame (default: 50)
# This operates as an efficient blur alternative. Higher values will result in more granular motion detection at the expense
# of higher CPU usage. Lower values result in less CPU, but small changes may not register as motion.
frame_height: 50
# Optional: motion mask
# NOTE: see docs for more detailed info on creating masks
#mask: 0,900,1080,900,1080,1920,0,1920
# Optional: improve contrast (default: shown below)
# Enables dynamic contrast improvement. This should help improve night detections at the cost of making motion detection more sensitive
# for daytime.
improve_contrast: True
# Optional: birdseye configuration
birdseye:
# Optional: Enable birdseye view (default: shown below)
enabled: True
# Optional: Width of the output resolution (default: shown below)
width: 1280
# Optional: Height of the output resolution (default: shown below)
height: 720
# Optional: Encoding quality of the mpeg1 feed (default: shown below)
# 1 is the highest quality, and 31 is the lowest. Lower quality feeds utilize less CPU resources.
quality: 8
# Optional: Mode of the view. Available options are: objects, motion, and continuous
# objects - cameras are included if they have had a tracked object within the last 30 seconds
# motion - cameras are included if motion was detected in the last 30 seconds
# continuous - all cameras are included always
mode: motion
record:
enabled: True
retain:
days: 30
mode: all
events:
pre_capture: 30
post_capture: 30
retain:
default: 90
mode: motion
cameras:
##################
## Front Door
##################
front_door:
ffmpeg:
inputs:
- path: r<RTSP PATH>
roles:
- detect
- record
- clip
input_args:
- -avoid_negative_ts
- make_zero
- -flags
- low_delay
- -strict
- experimental
- -fflags
- +genpts+discardcorrupt
- -use_wallclock_as_timestamps
- "1"
- -c:v
- h264_cuvid
zones:
front_door_person_area:
coordinates: 816,800,1291,809,1578,793,1920,887,1920,1080,1037,1080,214,1080,538,966
objects:
- person
zone_driveway_entry:
coordinates: 856,717,480,682,337,730,819,783
objects:
- car
door_car_str_area:
coordinates: 890,690,1409,708,1423,738,869,719
objects:
- car
##################
## Driveway
##################
Driveway:
ffmpeg:
inputs:
## Main Stream
- path: <RTSP PATH>
roles:
- record
- detect
- clips
input_args:
- -avoid_negative_ts
- make_zero
- -flags
- low_delay
- -strict
- experimental
- -fflags
- +genpts+discardcorrupt
- -use_wallclock_as_timestamps
- "1"
- -c:v
- h264_cuvid
# input_args: -strict experimental -r 10 -rw_timeout "5000000" -avoid_negative_ts make_zero -fflags +genpts+discardcorrupt -rtsp_transport tcp -c:v h264_cuvid
detect:
height: 1920
width: 2560
fps: 5
motion:
mask:
- 1646,264,2332,256,2306,0,0,0,0,1253
zones:
zone_driveway_entry:
coordinates: 1565,243,1238,221,0,840,0,1182
objects:
- car
driveway_person_area:
coordinates: 1932,146,2326,271,2560,1920,819,1920,0,1920,0,1202
objects:
- person
bicycles:
coordinates: 1932,146,2326,271,2560,1920,819,1920,0,1920,0,1202
objects:
- bicycle
##################
## Porch SouthEast
##################
Porch_SE:
ffmpeg:
inputs:
- path: <RTSP PATH>
roles:
- record
- detect
- clip
- clips
input_args: -strict experimental -r 10 -avoid_negative_ts make_zero -fflags +genpts+discardcorrupt -rtsp_transport tcp -probesize 100M -analyzeduration 250M -c:v h264_cuvid
detect:
width: 3840
height: 2160
fps: 5
motion:
mask:
- 1448,796,1296,800,3343,2160,3647,2160
- 3840,1341,3840,0,0,0,0,751,1777,816,3840,2115
zones:
porch_person_area:
coordinates: 0,2160,103,1325,729,1448,2105,1364,3295,2160
objects:
- person
bicycles:
coordinates: 3840,2160,0,2128,303,206,1628,600,3840,1599
objects:
- bicycle
##################
## Gate
##################
Gate:
ffmpeg:
inputs:
- path: <RTSP PATH>
roles:
- record
- detect
- clip
- clips
input_args: -strict experimental -avoid_negative_ts make_zero -fflags +genpts+discardcorrupt -c:v h264_cuvid
detect:
width: 2560
height: 1920
fps: 5
motion:
mask:
- 2536,0,2240,785,1967,591,1554,617,0,1315,0,817,0,0,853,0
objects:
track:
- person
- car
- dog
##################
## Backyard SE
##################
Backyard_E:
ffmpeg:
inputs:
- path: <RTSP PATH>
roles:
- record
- detect
- clip
- clips
#input_args: -strict experimental -r 10 -avoid_negative_ts make_zero -fflags +genpts+discardcorrupt -rtsp_transport tcp -c:v h264_cuvid
input_args: -strict experimental -r 10 -avoid_negative_ts make_zero -fflags +genpts+discardcorrupt -c:v h264_cuvid
motion:
mask:
- 2560,0,862,0,1197,236,2268,411,2560,888
detect:
width: 2560
height: 1920
fps: 5
objects:
# Optional: list of objects to track from labelmap.txt (default: shown below)
track:
- person
##################
## Patio
##################
Patio:
ffmpeg:
inputs:
- path: <RTSP PATH>
roles:
- record
- detect
- clips
- clip
input_args: -strict experimental -r 10 -avoid_negative_ts make_zero -fflags +genpts+discardcorrupt -c:v h264_cuvid
detect:
width: 2560
height: 1920
fps: 5
motion:
mask:
- 1990,135,1971,0,0,0,0,423,0,1122,544,520
zones:
patio_detect:
coordinates: 2560,1920,2560,916,2057,645,1995,157,600,488,0,1109,0,1920
objects:
- person
- dog
I notice you don't have snapshots enabled, I would enable that and try again and see if the behavior is different.
I do have the snapshots enabled but still the same issue.
mqtt:
host: 192.168.1.45
user: mqtt-user
password: "mqtt-password"
topic_prefix: frigate
client_id: laxpi4b
stats_interval: 60
detectors:
coral:
type: edgetpu
device: usb
snapshots:
# Optional: Enable writing jpg snapshot to /media/frigate/clips (default: shown below)
# This value can be set via MQTT and will be updated in startup based on retained value
enabled: True
# Optional: save a clean PNG copy of the snapshot image (default: shown below)
clean_copy: False
# Optional: print a timestamp on the snapshots (default: shown below)
timestamp: False
# Optional: draw bounding box on the snapshots (default: shown below)
bounding_box: True
# Optional: crop the snapshot (default: shown below)
crop: False
# Optional: height to resize the snapshot to (default: original size)
# height: 175
# Optional: Restrict snapshots to objects that entered any of the listed zones (default: no required zones)
# required_zones: []
# Optional: Camera override for retention settings (default: global values)
retain:
default: 10
cameras:
Kapi_Kamera:
ffmpeg:
inputs:
- path: "rtsp://Frigate:[email protected]/cam/realmonitor?channel=1&subtype=2"
roles:
- detect
- path: "rtsp://Frigate:[email protected]/cam/realmonitor?channel=1&subtype=0"
roles:
- rtmp
# hwaccel_args:
# - -c:v
# - h264_v4l2m2m
rtmp:
enabled: True # <-- RTMP should be disabled if your stream is not H264
mqtt:
enabled: True
timestamp: False
bounding_box: True
detect:
stationary:
interval: 50
threshold: 50
enabled: True
width: 1280 # <---- update for your camera's resolution
height: 720 # <---- update for your camera's resolution
fps: 5
objects:
track:
- person
- cat
filters:
person:
threshold: 0.7
cat:
threshold: 0.7
Ara_Sokak_Kamera:
ffmpeg:
inputs:
- path: "rtsp://Frigate:[email protected]/cam/realmonitor?channel=1&subtype=1"
roles:
- detect
- path: "rtsp://Frigate:[email protected]/cam/realmonitor?channel=1&subtype=0"
roles:
- rtmp
# hwaccel_args:
# - -c:v
# - h264_v4l2m2m
rtmp:
enabled: True # <-- RTMP should be disabled if your stream is not H264
mqtt:
enabled: True
timestamp: False
bounding_box: True
snapshots:
required_zones:
- vehicle_zone
- person_zone
motion:
mask:
- 552,500,325,373,97,215,47,187,0,201,0,576,224,576,704,576,704,554
- 704,0,704,139,640,129,330,43,352,0
zones:
vehicle_zone:
coordinates: 304,42,222,67,109,162,319,339,471,239,670,312,704,186,540,127,468,92
objects:
- motorcycle
- car
- bus
- bicycle
person_zone:
coordinates: 704,127,704,576,269,432,0,167,28,60,120,31,281,0
objects:
- person
detect:
stationary:
interval: 50
threshold: 50
enabled: True
width: 704 # <---- update for your camera's resolution
height: 576 # <---- update for your camera's resolution
fps: 5
objects:
track:
- person
- motorcycle
- car
- bus
- bicycle
filters:
person:
threshold: 0.5
On_Sokak_Kamera:
ffmpeg:
inputs:
- path: "rtsp://Frigate:[email protected]/cam1/onvif-h264"
roles:
- detect
- rtmp
# hwaccel_args:
# - -c:v
# - h264_v4l2m2m
rtmp:
enabled: True # <-- RTMP should be disabled if your stream is not H264
mqtt:
enabled: True
timestamp: False
bounding_box: True
detect:
stationary:
interval: 50
threshold: 50
enabled: True
width: 1280 # <---- update for your camera's resolution
height: 720 # <---- update for your camera's resolution
fps: 5
objects:
track:
- person
- motorcycle
- car
- bus
filters:
person:
threshold: 0.7
Mutfak_Kamera:
ffmpeg:
inputs:
- path: "rtsp://Frigate:[email protected]/cam/realmonitor?channel=1&subtype=1"
roles:
- detect
- path: "rtsp://Frigate:[email protected]/cam/realmonitor?channel=1&subtype=0"
roles:
- rtmp
# hwaccel_args:
# - -c:v
# - h264_v4l2m2m
# output_args: # Converts h265 to h264 on the fly
# rtmp: -c:v libx264 -an -f flv
rtmp:
enabled: False # <-- RTMP should be disabled if your stream is not H264
mqtt:
enabled: True
timestamp: False
bounding_box: True
motion:
mask:
- 132,160,140,260,69,302,49,243
detect:
stationary:
interval: 50
threshold: 50
stationary:
interval: 50
threshold: 50
enabled: True
width: 640 # <---- update for your camera's resolution
height: 480 # <---- update for your camera's resolution
fps: 5
objects:
track:
- person
filters:
person:
threshold: 0.65
Salon_Kamera:
ffmpeg:
inputs:
- path: "rtsp://Frigate:[email protected]/cam/realmonitor?channel=1&subtype=1"
roles:
- detect
- path: "rtsp://Frigate:[email protected]/cam/realmonitor?channel=1&subtype=0"
roles:
- rtmp
# hwaccel_args:
# - -c:v
# - h264_v4l2m2m
# output_args: # Converts h265 to h264 on the fly
# rtmp: -c:v libx264 -an -f flv
rtmp:
enabled: False # <-- RTMP should be disabled if your stream is not H264
mqtt:
enabled: True
timestamp: False
bounding_box: True
detect:
stationary:
interval: 50
threshold: 50
enabled: True
width: 640 # <---- update for your camera's resolution
height: 480 # <---- update for your camera's resolution
fps: 5
objects:
track:
- person
filters:
person:
threshold: 0.65
if your thumbs are updating then it is seeing the image, not sure why the camera entity is not showing the full image but that is different than what OP is reporting
Ok so after turning snapshots back on, the issue has gotten better. The only remaining issue which I can't seem to figure out is I will get a motion notification with an old image. I'm sure I'm missing something but it seems I'm getting a person notification without it taking a snapshot.
Ok so after turning snapshots back on, the issue has gotten better. The only remaining issue which I can't seem to figure out is I will get a motion notification with an old image. I'm sure I'm missing something but it seems I'm getting a person notification without it taking a snapshot.
What does your automation look like?
This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
![github-actions[bot] avatar](https://avatars.githubusercontent.com/in/15368?v=4 "Published by a pub.dev verified publisher"){kind=small}