I have fixed FPS to 7 fps. Recommendation from documentation is 5 fps for recognition. But since my cameras don’t have option of 5fps, only 4 or 7, used that value.
A small question…
To use the Frigate (blakeblackshear/frigate:stable-amd64nvidia) docker, is the
nVidia closed source driver still required when running on Ubuntu 20 LTE?
Sorry I ment Coral Inference Speed
Any one managed to set up frigate with Nvidia?
Trying but it fails big time… My Linux knowledge must be worse then a … 
Using ubuntu 20.4 LTE and have a Nvidia 1050 card.
@Minglarn
Below my docker compose. You must have the nvidia drivers installed in the host
frigate: # https://blakeblackshear.github.io/frigate/
container_name: frigate
image: blakeblackshear/frigate:0.9.0-rc2-amd64nvidia
restart: unless-stopped
privileged: true
hostname: UNRAID
shm_size: '8gb'
volumes:
- /mnt/cache/appdata/cctv/frigate:/config
- /etc/localtime:/etc/localtime:ro
- type: bind
source: /mnt/disks/storage/cctv/frigate
target: /media/frigate
bind:
propagation: slave
- type: tmpfs # Optional: 1GB of memory, reduces SSD/SD Card wear
target: /tmp/cache
tmpfs:
size: '2g'
environment:
- FRIGATE_RTSP_PASSWORD=<>
- NVIDIA_VISIBLE_DEVICES=<>
- NVIDIA_DRIVER_CAPABILITIES=all
ports:
- 5000:5000
- 1935:1935 # RTMP feeds
labels:
- "com.centurylinklabs.watchtower.enable=true"
runtime: nvidia
1 Like
Nvidia drivers installed… I think…
root@ubuntuserver:/home/minglarn/frigate# nvidia-smi
Mon Sep 6 16:42:21 2021
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 470.57.02 Driver Version: 470.57.02 CUDA Version: 11.4 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 NVIDIA GeForce ... On | 00000000:01:00.0 Off | N/A |
| 30% 26C P8 N/A / 75W | 13MiB / 1999MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| 0 N/A N/A 1084 G /usr/lib/xorg/Xorg 8MiB |
| 0 N/A N/A 1260 G /usr/bin/gnome-shell 2MiB |
+-----------------------------------------------------------------------------+
Seems right?
frigate: # https://blakeblackshear.github.io/frigate/
container_name: frigate
image: blakeblackshear/frigate:0.9.0-rc2-amd64nvidia
...
runtime: nvidia
[/quote]
When adding “runtime” I get a error:
ERROR: for frigate Cannot create container for service frigate: Unknown runtime specified nvidia
And all the fun stops here… Dont really know what to do… 
Maybe?
I managed to do something…
Seems that I was missing nvidia-docker2
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 470.57.02 Driver Version: 470.57.02 CUDA Version: 11.4 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 NVIDIA GeForce ... On | 00000000:01:00.0 Off | N/A |
| 30% 36C P0 N/A / 75W | 931MiB / 1999MiB | 26% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| 0 N/A N/A 1084 G /usr/lib/xorg/Xorg 8MiB |
| 0 N/A N/A 1260 G /usr/bin/gnome-shell 2MiB |
| 0 N/A N/A 272960 C ffmpeg 58MiB |
| 0 N/A N/A 272966 C ffmpeg 58MiB |
| 0 N/A N/A 272967 C ffmpeg 58MiB |
| 0 N/A N/A 272984 C ffmpeg 58MiB |
| 0 N/A N/A 272996 C ffmpeg 257MiB |
| 0 N/A N/A 273001 C ffmpeg 257MiB |
| 0 N/A N/A 273002 C ffmpeg 58MiB |
| 0 N/A N/A 273003 C ffmpeg 49MiB |
| 0 N/A N/A 273007 C ffmpeg 58MiB |
+-----------------------------------------------------------------------------+
Looks good… 
2 Likes
When trying to install this via docker-compose I keep getting:
[+] Running 0/1
- Container frigate Creating 40.3s
Error response from daemon: Post "http://ipc/filesharing/share": context deadline exceeded (Client.Timeout exceeded while awaiting headers)
Then in docker it shows:
Error parsing config: [Errno 2] No such file or directory: '/config/config.yml'
It used to work but after updating docker nothing works…
Seems that your config.yml is not found?
volumes:
- /etc/localtime:/etc/localtime:ro
- ${PWD}/config.yml:/config/config.yml:ro
- /media/mynewdrive/frigate/media:/media/frigate
- /home/minglarn/frigate/coco_labels.txt:/labelmap.txt
This is my setup in docker-compose…
nope, I even tried:- C:/compose/config.yml:/config/config.yml:ro
It keeps giving me an error after I do a: docker-compose up -d
Error: Error response from daemon: Post "http://ipc/filesharing/share": context deadline exceeded (Client.Timeout exceeded while awaiting headers)
And then in docker I see this error:
Error parsing config: [Errno 2] No such file or directory: '/config/config.yml'
Ok fixed the issue, apparently I had to login to my docker first…
My config is no longer working with the latest beta release, anyone has a sample config.yml that works with the later beta release?
Now I get: [Errno 18] Invalid cross-device link: '/media/frigate/clips/frigate.db' -> '/media/frigate/frigate.db'
Edit: it started working afterwards so all is back to normal now.
Question about Nvidia version…
It’s up and running, but I don’t see any big difference between frigate-amd64 and frigate-nvidia.
In config.yml I have this for ffmpeg:
ffmpeg:
hwaccel_args:
- -hwaccel
- cuda
- -c:v
- h264_cuvid
Am I missing something?
what is your config?
When I pass
coral:
type: edgetpu
device: usb
I also tried
coral:
type: edgetpu
device: usb:2
I still see the following in my logs.
This is on a DS918+ with DSM 7
2021-09-06T20:56:18.317711259Z [2021-09-06 16:56:18] frigate.edgetpu ERROR : No EdgeTPU was detected. If you do not have a Coral device yet, you must configure CPU detectors.
This is what the Synology shows with lsusb
without Coral plugged in
|__usb1 1d6b:0002:0404 09 2.00 480MBit/s 0mA 1IF (Linux 4.4.180+ xhci-hcd xHCI Host Controller 0000:00:15.0) hub
|__1-4 f400:f400:0100 00 2.00 480MBit/s 200mA 1IF (Synology DiskStation 7F0099BA22E5F125)
|__usb2 1d6b:0003:0404 09 3.00 5000MBit/s 0mA 1IF (Linux 4.4.180+ xhci-hcd xHCI Host Controller 0000:00:15.0) hub
with Coral plugged in
|__usb1 1d6b:0002:0404 09 2.00 480MBit/s 0mA 1IF (Linux 4.4.180+ xhci-hcd xHCI Host Controller 0000:00:15.0) hub
|__1-4 f400:f400:0100 00 2.00 480MBit/s 200mA 1IF (Synology DiskStation 7F0099BA22E5F125)
|__usb2 1d6b:0003:0404 09 3.00 5000MBit/s 0mA 1IF (Linux 4.4.180+ xhci-hcd xHCI Host Controller 0000:00:15.0) hub
|__2-1 1a6e:089a:0100 00 3.10 5000MBit/s 896mA 1IF ( ffffffd1ffffffb2ffffffdbffffffad)
lsusb doesn’t show anything from within the frigate container
What’s the point of having BlueIris at this point?
Depends on your use case of course, but it (blue iris) is much more feature rich as a NVR.
Not sure if this was asked before but my camera keeps detecting my parked cars, is there a way to teach frigate what my cars look like and not trigger? I guess it keeps triggering because of the Sun light…
Try to adjust:
max_disappeared: 25
I use Synology VMM (not docker) to run HA, since I experienced much less problems than with docker.
For the coral to work inside VMM you have to modify the configuration of the VM running HA like this:
I haven’t messed with the Synology VM.
Is there a writeup on the install?