Replies: 3 comments 4 replies
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You should follow the official documentation for setting up an OpenVINO model: https://docs.frigate.video/configuration/object_detectors/#openvino-detector Additionally, the AI available via the "Ask AI" button at https://docs.frigate.video is a lot better at helping than the other major LLMs as it's been trained on Frigate docs and discussions. |
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AI says that I don't have the model path set correct but I don't know how to find the correct model that my hardware has Your log shows this error: TypeError: stat: path should be string, bytes, os.PathLike or integer, not NoneType This means Frigate is trying to load a model, but the model path in your detector configuration is not set (it's None). For detectors like OpenVINO, ONNX, EdgeTPU, and others, you must specify a valid model path under the model section of your config. For example: yaml yaml |
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Hey, thanks for checking back.
After I plugged in error after error after error into AI, I finally got it to work
I appreciate the help
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I think I have "some" of things properly set up. I am setting up a Surveillance system for my daughter's new store. Using Surveillance Station for the other location - trying to setup and use scrypted and/or frigate for the new. My system has been starting and stopping , often too quickly to even make changes in the config file.
Can someone please offer advice on how to get things stable?
Also do I need addnl hardware to assist with my setup - like an addnl USB GPU??
I will deploy this for my daughter next weekend and I live 5 hrs away - so I need to make sure it is working well!
I have the following hdw:
GEEKOM Air12 Mini PC with 13th Gen Intel N150, 16GB DDR5 512GB NVMe SSD Mini Desktop Computer
4 Amcrest 4k cameras
I have scrypted up and running with rebroadcast rtsp links
Here is my docker compose:
services:
frigate:
container_name: frigate
privileged: true # this may not be necessary for all setups
restart: unless-stopped
stop_grace_period: 30s # allow enough time to shut down the various services
image: ghcr.io/blakeblackshear/frigate:stable
shm_size: "512mb" # update for your cameras based on calculation above
devices:
#- /dev/bus/usb:/dev/bus/usb # Passes the USB Coral, needs to be modified for other versions
#- /dev/apex_0:/dev/apex_0 # Passes a PCIe Coral, follow driver instructions here https://coral.ai/docs/m2/get-started/#2a-on-linux
#- /dev/video11:/dev/video11 # For Raspberry Pi 4B
- /dev/dri/renderD128:/dev/dri/renderD128 # For intel hwaccel, needs to be updated for your hardware
volumes:
- /etc/localtime:/etc/localtime:ro
- /mnt/192.168.1.144/frigate/frigate:/config
- /mnt/192.168.1.144/frigate/frigate-storage:/media/frigate
- type: tmpfs # Optional: 1GB of memory, reduces SSD/SD Card wear
target: /tmp/cache
tmpfs:
size: 1000000000
ports:
- "8971:8971"
# - "5000:5000" # Internal unauthenticated access. Expose carefully.
- "8554:8554" # RTSP feeds
- "8555:8555/tcp" # WebRTC over tcp
- "8555:8555/udp" # WebRTC over udp
environment:
FRIGATE_RTSP_PASSWORD: "password"
Attached are logs:
frigate_logs.txt
And Here is my config file:
mqtt:
enabled: false
ffmpeg:
hwaccel_args: preset-vaapi
detectors:
ov:
type: openvino
device: auto
record:
enabled: true
retain:
days: 7
mode: motion
alerts:
retain:
days: 30
detections:
retain:
days: 30
snapshots:
enabled: true
retain:
default: 30
cameras:
name_of_your_camera:
detect:
width: 1280
height: 720
fps: 5
ffmpeg:
inputs:
- path: rtsp://192.168.9.200:44683/0871c189f0308540
roles:
- detect
motion:
mask:
- 0.000,0.427,0.002,0.000,0.999,0.000,0.999,0.781,0.885,0.456,0.700,0.424,0.701,0.311,0.507,0.294,0.453,0.347,0.451,0.400
detect:
enabled: true
version: 0.16-0
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