Frigate quicksync Discussed in a couple of places, and I thought useful to have a dedicated topic. r/unRAID. When additional objects are detected or when a zone change occurs, it will publish a, update message with the same id. I have an Alder Lake gen12 CPU that I'm utilizing QuickSync for hardware transcoding. The framework for autonomous intelligence. 0 Operating System 8. And I finally want to use Hardware acceleration (Skylake iGPU). Describe the bug Problems enabling and verifying hwaccel on Intel NUC 10th gen (QuickSync) running frigate in lxc in proxmox Version of frigate 0. All reactions. I was looking at the G4560, since it's cheap where i live, and at the i5 6400, because a frined of mine is selling it used. 2. Reactions: majorgear. The share ability is an advantage that LXC have over VMs. root@pve:~# ls -la /dev/dri total 0 drwxr-xr-x 3 root root 100 Apr 16 10:32 . wiki: Hardware / QuickSync. coral1: type: edgetpu device: pci:0 #Use hardware acceleration with h264 and intel quicksync vieo ffmpeg: hwaccel_args: preset-intel-qsv-h264 #Recording I'm new to Frigate and just set it up as an addon on a N100 mini PC running HAOS. coral INFO : Starting detection process: 38 frigate. Unfortunately not many of the newer models have QuickSync support, so you'd need to be quite specific about the one you get. everything seems to be working quite fine and the cpu is strong enough to handle 4 1080p cameras pretty easi Seen a few suggestions on the unraid and truenas forums to look at the Xeon line, and the ones listed here support both ECC and quicksync, but I haven't seen any discussion of them actually working to provide hardware encode/decode for frigate video. 0 supports OpenVINO for AI detection, which uses integrated GPU to do the computing. The only way to keep it’s memory and cpu usage under control is to set limitation on container. Frigate is super lightweight, it's been rock solid, and works so well in my experience. You'll probably need to At the very end I like to get frigate running in a docker in a lxc container with ffmpeg hw acceleration but I assume that it will not work if even vainfo does not work, right . Enable Hardware Acceleration . However, is it still possible to use some kind of Hardware CPU Acceleration although there is no Quicksync device available in the VM? I am using a 12600k that idles at around 9% with all Apps and VMs (HA -> Frigate -> 4 Cams) which is nice. Config file Include your full config file wrapped in triple back ticks. 0 x4 (in x8 slot) and 1 PCI-E 3. Quicksync is available for processors from the 10th generation onwards and provides a I have an i5 8269U (8th generation) and I wrote this configuration for QuickSync: ffmpeg: hwaccel_args: - -hwaccel - vaapi - -hwaccel_ Describe the problem you are having Can anyone tell me how I know if hardware accelerator is Default Treatment . Some types of hardware acceleration are detected and used automatically, but you may need to update your configuration to enable hardware accelerated To effectively utilize hardware acceleration in Frigate, particularly with Intel-based CPUs, leveraging Quicksync is essential for optimal performance. 168. QSV requires specific settings based on the video encoding format: H. It is highly recommended to use a GPU for hardware acceleration in Frigate. 178. I do use the docker version though. I use the computer only for HA and devices connected are a Z-wave stick and MOD-BUS connector to control a heath pump. Frigate Hwaccel Args Overview. There's currently no motherboards available for me to purchase that are Mini-ITX sized and support quicksync. They offer full resolution for the main stream and a 720p substream for frigate’s detection and inferencing. Reply reply lunchplease1979 • Bud trust me Frigate is so much better than Blue Iris I've changed over. You should see something similar to this: My frigate config can be seen over there. Click Intel GPU. edgetpu INFO : Attempting to load TPU as usb frigate. Especially newer intel CPUs can handle transcoding with quicksync astonishingly well, I have 11th gen i5 that I use for everything from Plex to surveillance and it’s barely using resources To set up Frigate in a Proxmox LXC container effectively, it is crucial to ensure that hardware acceleration is properly configured. You could consider a NAS with an Intel chip for QuickSync hardware transcoding. LS h264 H. In both cases using the http stream is recommended. The Frigate docker compose is configured with network:host, everything combined means I'm not sending traffic through my router. However, passing GPU and Coral devices to Frigate in these environments can be problematic. Some earlier gen device support quicksync but only some, later gen even celeron supports quicksync. I have added hwaccel parameters to ffmpeg in the frigate config and added I've got Frigate set up with two cameras and from the web UI, everything appears to be functioning normally (ie. Since you're trying to use QuickSync TLDR > Does frigate support AMD Ryzen™ 7 PRO 5750G for transcoding and Does frigate support Intel ARC A380 for transcoding i did read I've frigate running on minipc with Iris XE iGPU. I've tried setting it per a camera as well with no luck. Any 4k transcoding instances and your GPU is the better option. I'll prefix my question by saying I have looked at the Recommended Hardware section of the Frigate docs, but most (if not all) of the options aren't available in the UK. Beta Was this translation helpful? Give feedback. He doesn't explain SVT vs AOM vs QuickSync in any of his videos as far as I can tell. Sandy Bridge Reolink has older cameras (ex: 410 & 520) as well as newer camera (ex: 520a & 511wa) which support different subsets of options. I got it working (I guess when it was live) but now I just get a “no frames received” and I see this “frigate. 0 in case that answers this but I have an issue with my Frigate install on unRAID. I'm running 18x cameras, most of which are 4k, 15fps, with an intel 8700k with quicksync enabled, and I'm only using around 20-25% cpu. Stop reviewing shadows and wind and start reviewing detections that matter. Dec 29, 2022 1 0 6. 0, alder lake generation needs ffmpeg 6. 9. Thanks for all your help and suggestions! I'll report back if I get anywhere. 3 Home Assistant 2022. Reboot the VM and you are ready to use the iGPU within it. This subreddit has gone Restricted and reference-only as part of a mass protest against Reddit's recent API changes, which break third-party apps and moderation tools. I would like to move Frigate on a dedicated device with a low power profile: I'm was thinking about a RPi 4 with at least 2 GB of RAM running with 64 bit code. Using coral The video feed is copied from the original video feed directly to avoid re-encoding. frigate. As long as you’re using those it shouldn’t be an issue. With that said I always recommend just using vaapi as it automatically supports both h264 and h265 without any fuss of worrying about it. That is, my Coral TPU busID changes after Frigate Has anyone managed to run Frigate normally on an Intel N100 processor I have a Beeline mini PC with this processor and a HassOS system. Frigate use a lot of cpu and memory when you are using cpu detectors, at least that is my experience with it. 10/29/24. Just using "preset-intel-qsv-h265" doesn't work either. When detection is on the cpu usage and temperature go way up. -VM with USB port pass-through, but hit the problem of the Coral dongle While it would be nice if the Frigate devs didn’t merge nginx with their own code so we could configure nginx for security, but we are stuck with their nginx config in their Docker image. In ProxMox open a PVE shell and run "ls -l /dev/dri" at the command prompt. Explore hwaccel_args in Frigate for optimized video processing and hardware acceleration settings. Reply reply Describe the problem you are having After upgrading to version 0. Platform Name Graphics Adds support for Ironlake : gen5 : MPEG-2, H. You might be out of luck on the accelerator with your current hardware. With that said I always recommend just using vaapi as it automatically supports Learn how to configure Proxmox with Intel Quicksync for optimal performance with Frigate, enhancing video processing capabilities. 4-5043040 Config file Include your full config file wrapped in triple back ticks. 264 and later versions can decode h. Version of frigate 0. Second, I don't think you can pass video accelerators with a VM. upvotes Frigate stats. Reload to refresh your session. 264 / AVC / MPEG-4 AVC / MPEG-4 part 10 (decoders: h264 h264_v4l2m2m h264_qsv ) (encoders: libx264 libx264rgb h264_omx h264_qsv h264_v4l2m2m h264_vaapi ), and the transcoding process shows: [hevc @ 0x561e69691a00] Using auto hwaccel type vaapi with new default device. I've tried rebooting the Frigate container as well as rebooting my entire mini server (Odyss I've been trying and failing to get hardware encoding/decoding on Intel QuickSync working for days. Situation My camera being mounted rotated I've to correct the feed, sadly can't do this in camera. I'm trying to run Frigate in Docker/portainer/edge on a container in Proxmox 7. Frigate can communicate directly with the cameras through VLAN 113, I can access Frigate remotely through 113 and other services (eg HA) communicate via 111 all using existing network configurations. I have a separate 4TB drive installed for 24/7 recordings. I think it's very unlikely that frigate users will have both fewer cameras than cores and sufficient CPU load from decoding detect streams that any one stream more than saturates a single core. M. Frigate Proxmox Intel Quicksync Setup. 10. root@Droptank[~]# lspci. mqtt-client weitergibt (auch 1883) # ioBroker. And yes you can share the iGPU with multiple LXC's - they share the same kernel space as the proxmox. This is particularly effective for newer processors. I've been comparing these within Proxmox LXC, where Frigate container is running. Thanks QuickSync can be used in Frigate for decoding ffmpeg and reduce the amount of load on your CPU. It's the image recognition part that's a beast. , but I’m wondering, does anyone know if Home Assistant OS on an Intel NUC (NUC8i3BEH) support Google Coral for Frigate? Intel-based CPUs (<10th Generation) via Quicksync (Hardware/QuickSync – FFmpeg) ffmpeg: hwaccel_args: - -hwaccel - vaapi - -hwaccel frigate uses ffmpeg 5. This section provides detailed troubleshooting steps to ensure that QuickSync operates effectively within your Frigate setup. Context Navigation +1; Up; Start Page; Index; History "Intel Quick Sync Video" is the marketing name for a set of hardware features available inside many Intel GPUs. Reply reply Is Intel Quick Sync (QSV) working for anyone right now with or without a workaround (ideally on a Synology NAS via Docker)? However, I would like to attach (at least one) Quicksync device to my VM for Home-Asssistant / Frigate. Share Add a Comment. About to upgrade to Frigate 0. 2-3. Members Online. 264 streams ffmpeg: hwaccel_args: preset-intel-qsv-h264 H. I’ve seen some topics discussing the use of Google Coral with RPi4s for Frigate etc. 0 VGA compatible controller: Intel Corporation Alder Lake-N [UHD Graphics] (prog-if 00 [VGA controller]) DeviceName: Onboard - Video Subsystem: Intel Corporation Alder Lake-N [UHD Graphics] Flags: bus master, fast devsel, latency 0, IRQ 129 Memory at 6000000000 (64-bit, non-prefetchable) [size=16M] Memory at 4000000000 (64-bit, prefetchable) [size=256M] I/O ports As such, if you're considering QuickSync for any professional workflow, kindly evaluate the performance benefit vs the perceptual encoding quality prior to investing in it. S. Select a valid hardware I'm gonna say Nay right now because Blue Iris doesn't have support for AV1 transcoding which the ARC gpus excel at, and DeepStack can't use non-nvidia GPUs as far as I know. 0 beta 2, 4 & 5, my CPU usage is near 100% when normally it's around 25-30%. app INFO : Camera processor started for inrit: 43 frigate. [2022-10-24 16:05:08] frigate. I 've also Coral USB and Coral mPCI available. Describe the problem you are having Hi, i was working before with the webrtc card and go2rtc addon, now i wanted to give Frigate a try as addon, but i see the cpu usage in the addon is constantly 10% or higher, only when 1 camera added, More than 2 1080p instances and QuickSync is the better option IMO. You are in double trouble. 0. 4-5043040. I changed the retention to 14 days and still no recording. There are many cheap Xenon Servers on Ebay that support ECC, unfortunately also quite power hungry and without Quicksync. Odroid H3 is powered by an Intel CPU which supports QuickSync. 265 streams is as follows: H. With a single Google Coral TPU, Frigate can run 100+ object detections per second so it doesn frigate/reviews . I had originally setup Frigate on the recommended GK41 minipc, but it was choking hard when running an 8 exterior camera setup (even using the vga substreams, quicksync hw acceleration and two corals), let alone expanding it to host a pair of wifi-cameras On Frigate, I use the Coral EdgeTPU for AI video processing but I may still want a GPU for transcoding. I find the Docker "FFmpeg-mkvdts2ac3", but ffmpeg is pretty old and i need a newer version. But there's no real benefit to doing that anyway since vaapi works better in some situations I want Frigate to be able to use CPU Quicksync acceleration for ffmpeg; I can follow instructions and mess with stuff some, but I am not looking for something crazy complicated where I have to compile bunch of images and spend hours/days in command line just to get anything working; Describe the problem you are having. intel quicksync is specialized hardware that can decode h. You signed out in another tab or window. com site in several ways. 1 - latest Frigate NVR addon Current version: 2. Frigate config file. Frigate should now be accessible at https://server_ip:8971 where you can login with the admin user and finish the Creating an LXC (Linux Container) image of Frigate for use on Proxmox etc. HA Supervised has frigate integrated (as Docker). Help I'm currently trying to create a fairly cheap machine for a dedicated plex server (and a bit of NAS work, but mainly storage, so no issue here). There are two way to access that technology: (1) VAAPI (2) and Intel Media SDK (=MSDK, =libmfx), which is - in case of Linux - built on top of VAAPI. You switched accounts on another tab or window. 07. I have been using Unraid since 6. Then I have a Debian VM that hosts Home assistant Supervised. If you are using the HA addon, you may need to use the full access variant and turn off Protection modefor hardware acceleration. Apple VideoToolbox . Restart your machine and enter BIOS. With how good Frigate got with support for graphic cards, I assume based on my rudimentary knowledge that a lot of models (of intel cpus, amd cpus, nvidia gpus, amd gpus, intel arc) already support hardware decoding and encoding of VP9, and linux kernels and ffmpegs version had support for it for ages. Save settings and exit BIOS (usually F10 key). The default model would Explore Frigate Quicksync for efficient video processing and synchronization in your surveillance setup. A complete and local NVR designed for Home Assistant with AI object detection. Community Moderator. #Recording options record: enabled: True #Keep all recordings for 2 days retain: days: 2 Go to frigate_nvr r/frigate_nvr. Hi However, my Debian VM (HA Supervised) hosts Frigate with a Coral device. 00GHz How I can know if my configuration OK? I have in total 10 cameras my CPU in consistency 94 Celsius - it To effectively utilize hardware acceleration in Frigate, particularly with Intel-based CPUs, leveraging Quicksync is essential for optimal performance. With Frigate's local processing, there is no need to pay for your personal camera footage to be sent to the cloud for analysis. 80GHz NVIDIA GeForce GT 710 16 GiB DDR4. Coral version. Let Frigate's AI scrub your video feeds for you. I have 6 cores attributed to HA VM, 6 cores and 4GB RAM to Frigate, and 6 cores and 8Gb RAM to Compreface. Click NVIDIA GPU. video/configuration/hardware_acceleration for both h264 and h265. When the review activity has ended a final end message is published. app INFO : Camera processor started for achtertuin: 45 Hi, I'm running Frigate on Home Assistant on a Gigabyte BRIX with Intel Celeron J4105. The original camera stream is MJPEG so I've configured transcoding. That same QuickSync capability can accelerate Frigate too. drwxr-xr-x 22 root root 5040 Apr 16 Hardware: Celeron G5905 (Comet Lake/10th Gen), Coral USB, combination of Unifi, Reolink, Amcrest cameras Software: Ubuntu 20. Currently, I'm running Frigate as a HassOS add-on, which itself is running in a ProxMox VM. Thank you! Describe the problem you are having. I posted the issue on the WSL github to see if anyone there got it working or has any advice. . ; You may also prefer to setup WebRTC for slightly lower latency than MSE. The network card is PCI-E 2. Pretty happy so far! Reply reply More replies. QS on -> ~22%; QS off -> ~25%; Here a screenshot of the intel_gpu_top output with Frigate running, load on GPU is quite stable at those values. CPU detection should only be used for testing purposes. Let's say you have Frigate configured so that your doorbell camera would retain the last 2 days of continuous recording. Unfortunately, I did not realise that the chipset also needs to support quicksync. Yea I saw all the other posters fail too. This feed does not include any annotation by Frigate. 265 streams I wanted to have ECC Ram for data safety, a power efficient CPU and also integrated graphics with QuickSync (for Jellyfin). Intel QSV & VA-API . System starts at approx 5% memory usage and constantly rises at a steady linear rate over Hi! Does anyone has Frigate running on these boards? Currently I have one RockPi 4c+ but I want to change device because it does not support hw acceleration in an easy way, the RockPro64 has newer linux kernels support so maybe it works. I can see there is I've switched back to a power-efficient system with a Pentium Silver J5040 CPU: it do have QuickSync but enabling it seems that don't change a lot on processor load. 264 and H. Both Home Assistant and Frigate can be run in Docker containers, and doing so is the recommended install method for Frigate, so first we need to install Docker. Operating system. 04, Frigate latest as of 2022-09-06 I'm unable to get any camera to run Hello everyone. 0 x4 (in x8 slot). 43 port: 1885 # Standard mqtt-Port ist 1883, darauf hört bei den ESPxx auch mosquitto, der es dann an den ioBroker. I am OK with 24/7 recordings or a very long retention period actually (that is how I had blue iris set up) and I have 4 TB of storage Frigate. It doesn't look your Xeon has quicksync either. YOLO-NAS model #. If the stream you added to go2rtc is also used by Frigate for the record or detect role, you can migrate your config to pull from the RTSP restream to reduce the number of connections to your camera as shown here. 12. Windows is not officially supported for running Frigate, but some users have managed to get it working under WSL or Virtualbox. I've heard of people running frigate along side BI for better notifications, but couldn't find much more than that. When a single Frigate instance is configured, the client-id parameter need not be specified in URLs/identifiers -- that single instance is assumed. frigate. Use quicksync for ffmpeg decode to reduce cpu use Detect vehicles, cats, people To add on to this, frigate supports global vars for most things so quicksync acceleration, objects to detect, and other settings can be set at a global level for all cameras You signed in with another tab or window. I can’t figure out the Frigate Does Frigate take advantage of Intel QuickSync Video hardware encoding? Or would AMD be better for more raw cores/threads but no hardware encoding? How about hardware h265 decode? (H264(+)/H265(+). Hardware acceleration options can be found in the Admin Dashboard under the Transcoding section of the Playback tab. 1 released upvotes · comments. Intel QuickSync is a hardware-accelerated video encoding and decoding technology that can significantly enhance the performance of Frigate when configured correctly. This Server hosts Jellyfin (Videos), Omada Host (for the network infrastructure), Nextcloud and the MQTT Server as "Apps" (basically Docker containers). slopsjon Member. In decoding, both are equal, they are different in processing (VPP) and encoding. Install method. Docker Compose. Hello, I am trying to install the lastest version of ffmpeg inside UNRAID. The coral only does inference. yaml for Home Assistant OS users: LIBVA_DRIVER_NAME=i965 ::: Via Quicksync (>=10th Generation only) If VAAPI does not yield satisfactory results, you can opt for QSV, provided your processor supports it. 0 x8 and I also have a PERC H710 in IT mode in Describe the problem you are having I have Debian OS Intel(R) Core(TM) i7-4510U CPU @ 2. Introduction. Memory: A bit hard to ELI5 but Frigate will use as much memory as is available. Click Apple Mac. When using multiple detectors they will run in dedicated processes, but pull from a common queue of detection requests from across all cameras. To effectively utilize hardware acceleration in Frigate, particularly with I'm running frigate in a docker container on a ubuntu 20. I want to minimize the CPU usage as much as possible. When multiple Frigate instances are configured, the user must explicitly specify which server they are referring to. Memory usage of system constantly (but slowly) ever increasing due to frigate addon. It also seems to use more cpu. Running Frigate in a VM on top of Proxmox is generally not advised, although some users have reported success. Is it just the Intel gen10 plus stuff from the docs below, or are there other things to take advanta Frigate runs inside a docker container in a Proxmox VE instance. FAQ If I am detecting multiple objects, how do I assign the correct binary_sensor to the camera in To best optimize frigate you want quicksync for video in general like streaming and google coral for object detection. Reply reply Or is it that neither option will utilize intels quicksync abilities? I am not using Home Assistant at the moment, and I am relatively new to docker, MQTT and frigate. record WARNING : Discarding a corrupt recording segment: /tmp/cache/kitchen_backdoor-20230315180851. Also, what are the QuickSync capabilities of those CPUs if you know? TheDreadPirate Offline. Explore Frigate Quicksync for efficient video processing and synchronization in your surveillance setup. Any other information that may be helpful. I've got plenty of CPU and RAM so not too concerned, just don't like how all the data it generates gets mixed into the HA backups and stuff. 0. mqtt: enabled: True host: 192. 1 - SSD 480 GB - 32GB, with Proxmox installed, HA in VM and Double Take as addon, Frigate in LXC container, and Compreface in LXC container. His March 2023 video just says "choose QuickSync AV1" and doesn't discuss the other options (which are present in the 29. Intel HD 610 or 530 for quicksync . As you can see from the screenshot the CPU usage is still high (switched from MotionEye to Frigate ~1pm Oct 12), I cant find any Google Coral's available (just some imports with 300% price markup) - I've added 4 CPU detectors and added the "Intel-based CPUs (<10th Generation) via Quicksync" flags which made some difference. Message published for each changed review item. The configuration for H. Can get it into Frigate no problem but its CPU intensive In such cases, you can switch the driver to i965 by adding the following environment variable to your docker-compose file or in the frigate. The capability it offers is phenomenal and I'm trying to get it set up right. The coral is more than fine but the bottleneck is the CPU for motion detection when enabling all 6 (even with Hardware acceleration, QuickSync, enabled). To effectively set up Proxmox for Intel Hi folks. I'm actually trying to run a docker container (frigate NVR), so I don't think I can actually use ffmpeg. Its still up to the cpu (or ideally, gpu using quicksync ) to decode the streams (and do motion detection), and decoding 12 substreams in software is going to be more then "no load". 7 cameras. If you need lots of 1080p instances (probably talking more than 10-15 x 1080p transcodes), then you As Frigate can utilise QuickSync, I was firm on not getting anything older than Skylake which added H. Ensure you increase the allocated RAM for your GPU to at least 128 (raspi-config > Performance Options > GPU Memory). On startup, an admin user and password will be created and outputted in the logs. First, this CPU doesn't have quicksync (intel's video accelerator). Currently I’m running HA OS in a Proxmox VM on a nuc5 i3 8gb ram. Once you've disabled IOMMU and enabled Intel Integrated graphics on your BIOS, you should see the following in /dev/dri if you're running Proxmox 7+. Posts: 12,036 Threads: 10 Joined: 2023 Jun Reputation: 354 Country: #2. No, I loaded up frigate aand best I got was the blank screens of all 6 cameras without any vision. Hardware Support. Rockchip RKMPP . I have a Coral USB hooked up and was trying to get Openvino setup as well as for detection. 1. AMD AMF & VA-API . When I add openvino to the frigate config, it seems to cause the Frigate addon to crash and Im aware the frigate docs show Intel quickSync is only supported on intel 10th Gen cpus or higher - I have a Dell optiplex with a i5-9500T, and need to replace it (stability issues + I've only been ever been able to get VAAPI to work, not quicksync) - so im about to buy a new dell optiplex micro, and wanted to get a 10th gen or higher intel cpu In order to have quicksync support. Check if your QNAP CPU supports OpenVINO, so that probably you do not need to buy a Coral TPU. Click Rockchip VPU. "preset-intel-qsv-h264" works fine but of course only on the camera that supports it. In order to use the qsv device, the Docker image needs to have libmfxgen1 installed as per the Intel compatibility matrix. In Explore Frigate Quicksync for efficient video processing and synchronization in your surveillance setup. Design intelligent agents that execute multi-step processes autonomously. My setup is an HP EliteDesk 800 G4 DM Core i5-8500T 2. Frigate uses go2rtc to provide its restream and MSE/WebRTC capabilities. 0-beta. This setup allows Frigate to utilize the Coral TPU and GPU devices efficiently, enhancing performance significantly. That leaves me with 1 x PCI-E 4. How to check if quicksync is properly working on Plex. 265. TO use with quicksync, which one Describe the problem you are having. You can easily search the entire Intel. 04 host with an 11th gen cpu. The question is probably debated many times before but I didn't quite find the answer for my question so here it goes: How much performance will I lose(or will I lose any performance?) running Jellyfin in a LXC using pass-through and Vaapi instead of running it bare metal with QS on, for example, Ubuntu server? So far I am leaning towards an i5-2400 (not the F variant - I need QuickSync for transcoding video). Top 2% Rank by size . Describe the problem you are having I would like to ask how to make sure that the hardware acceleration is turned on successfully? I didn't find any information about hardware acceleration in the logs 100%-120% CPU usage when using main Also got it connected to frigate along with tensorrt models. Network connection. This can be a bit confusing because QuickSync is Intel's marketing term for video acceleration. They also offer in-camera detection (movement, person, vehicle) and various rules like tripwire, direction detection, zones, etc. It integrates machine learning for analyzing video streams and enables users to automate monitoring tasks. It's not Quicksync that gets passed through, it's the iGPU that incorporates it. Have watched the channel; he's part of why I chose to dabble with this card. The docs assume use of a Home Assistant MQTT server. See more VA-API can use the dedicated Intel Quick Sync hardware for video processing, which is integrated into the Intel processors. Would frigate actually need to do any decoding or can I just feed it those 4 streams? Reply reply Next steps . I've Intel Celeron N3160 CPU with integrated HD Graphics 400 GPU running Proxmox with Frigate Docker image inside LXC container. While Frigate ships with a OpenVINO-compatible SSDlite model for object detection and this is a great compromise between speed and accuracy, I wanted to dive a bit deeper and use YOLO-NAS, a model that should offer higher accuracy for smaller objects. On this page. I'm aware this isn't recommended, but it was a quick-setup to test everything out. frigate hat einen eigenen mqtt-client, der nur auf 1885 hört topic_prefix: frigate # ffmpeg: # global_args: -display drm Using Quicksync I can manage 5 cameras with a resolution of 2592x1944 at 5 fps in H264 encoding with a quiet low CPU usage (about 100% of 1 core). A quicksync GPU + USB coral is the way to go. This allows the Coral to be available to a large number of cameras and not overload it. The I'm struggling to make hardware acceleration working correctly. Does this sound like a realistic use case for ProxMox? If you're willing to look at an alternative NVR that can run in Docker, I believe Frigate supports QuickSync, plus can do some pretty incredible object detection with a Coral TPU. I will use only 4-6 cameras. 8. Quicksync is available for processors from the 10th generation onwards and provides a robust solution for Thanks, much appreciated. 8, and I believe I've been experiencing a similar issue with 6. 265 Streams I'm just migrating Frigate over and one thing I cannot get going is the Intel QSV h265 preset - "preset-intel-qsv-h265". 264 Streams ffmpeg: hwaccel_args: preset-intel-qsv-h264 H. It let's you handle a pretty impressive number of cameras and doesn't increase your cpu load. I am trying to install frigate on N5105 (11th generation) with Intel Quicksync GPU, but I am lost reading the docs. Other detectors may require additional configuration as described below. Frigate H265 Overview Explore the technical specifications and features of the Frigate H265, a cutting-edge naval vessel designed for modern warfare. all my cameras have iframe intervals of 1 per second and live I hope someone can help here as I just don’t understand how to get this to work lol Running Proxmox, HAOS on a VM and a single container running Alpine Linux which has Frigate in a docker container Using 2 cameras on Frigate, one is H264 so working great, other is H265 so not so great so having issues with it. Wired. 1-83481AF. If you're looking at high quality encodes on VAAPI, ensure that you're at least on Haswell (Intel 4th Generation iGPUs), as this architecture introduced features such as the concept of “Target Yes, it is possible to use h265 for recording but h264 for live view. Just setup go2rtc to transcode to h264 and use that stream under live -> stream_name for that camera. Frigate works much better with newer reolink cameras that are setup with the below options: If available, recommended settings are: Frigate version 0. You signed in with another tab or window. Dec 29, 2022 #19 Make sure you add Describe the problem you are having Hello, I'm unsure how to find out what hwaccel_args I might use for the built in integrated GFX etc. 11. I guess for you it works with your ffmpeg config. The plan is to have all my 24/7 services and things that need intel quicksync on this. If the CPU supports Intel’s quicksync feature for the acceleration, or the nvidia card is supported With quicksync I get allot of green smudges, its difficult to watch anything. mp4” message all the time in the logs (so I Hi, i have a docker setup on debian in an LXC container on proxmox running 0. 3 NVIDIA GeForce RTX 2 It allows me to use ECC Ram (DDR5), Quicksync (for Jellyfin) and runs Truenas. (That I know of) The issue: As soon as I add my cameras in to a NVR software, such as Blue iris, frigate, motioneye etc If your c3558 had quicksync, you could run Frigate/Docker on bare metal, but unfortunately it doesn't. Installing Docker. 2023-07-24, 05:46 PM (2023-07-24, 01:39 PM) ZeroCool Wrote: So I'm looking at perhaps creating a little cluster of Mini PCs for transcoding. Frigate saves from the stream with the record role in 10 second segments. So now I'm running HAOS in a VM in proxmox (restored a backup from the previous bare-metal host), and I'm planning to start breaking services from HA addons out into their own containers one at a time. 2. 0+ to work with qsv. Inspecting /proc/ shows that chimney's ffmpeg detect process has 13 threads, and chimney2's has 1. It does transcode, so no lag but quicksync isn't reliable. The stock Docker image will fail to initialize the hardware encoder/decoders using qsv if this package is not installed (see general In such cases, you can switch the driver to i965 by adding the following environment variable to your docker-compose file or in the frigate. r/frigate_nvr Any issues with using an Intel N100 CPU’s QuickSync hardware Video Decoder, with one or more Nvidia Coral TPU for object detection? I anticipate a maximum of 8 outdoor PoE cameras. ffmpeg hardware acceleration does not work according to the Intel-based CPUs (>=10th Generation) Some earlier gen device support quicksync but only some, later gen even celeron supports quicksync. Use of a Google Coral Accelerator is optional, but strongly recommended. By default, Frigate will use a single CPU detector. r/unRAID Frigate can use both TPUs on a compatible system but it's completely unnecessary outside of a few extreme edge cases. Enable intel integrated graphics and disable IOMMU. These options determine which recording segments are kept for continuous recording (but can also affect events). This is from my experience developing frigate and supporting users for the last 2 years. As being quite new to this world I believe that the HassOS Addon would be my best and easiest option - for this I have a few questions: Documentation Frigate config file. And all recordings are stored to a 1TB ssd mount with unassigned device: After wasting the better part of a week to figure this out, figured to document this somewhere to save the next person trying this. 00:02. yml. Unifi G4 Instant, G3 Flex. I have QuickSync allocated to Plex so I assume I can't share it also with Frigate. Using Intel. Frigate provides the following builtin detector types: cpu, edgetpu, openvino, tensorrt, and rknn. Camera make and model. In frigates usage there are no features that qsv supports that are helpful or reduce cpu usage. More posts you may like r/unRAID. Also have Coral USB used Frigate Proxmox Intel Quicksync Setup. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. Learn how to configure Proxmox with Intel Quicksync for optimal performance with Frigate, enhancing video processing capabilities. Debian. Brand Name: Core i9 Document Number: 123456 Code Name: Emerald Rapids That makes sense, thanks. I get i Determining whether Intel® Xeon® Processors E5 support Intel® Quick Sync Video To balance it, Frigate uses the CPU to look for movement, then sends those frames to the Coral to do object detection. This Via QuickSync (>=10th Generation only) If VAAPI fails to deliver the desired performance, consider using Intel's QuickSync Video (QSV) for hardware acceleration. I tried to enable hardware accelerate by adding hwaccel_args: -c:v h264_qsv to the ffmpeg field of one camera, but the Describe the problem you are having My setup: Unraid Version: 6. app INFO : Camera processor started for voordeur: 41 frigate. You can muscle through the video decoding, though. video ERROR : maren Is QuickSync separate or part of the chipset? How would I know is a build has it? Also not all of them appear to have hardware acceleration? People recommend the "i7" chipset with various modelslike the "i7-6700"but even that seems to have various versions like the i7-6700HQ or i7-6700T or TE or K. The ultimate goal is reduce the CPU usage used by my existing Frigate NVR setup. #Use hardware acceleration with h264 and intel quicksync vieo ffmpeg: hwaccel_args: - -hwaccel - vaapi - -hwaccel_device - /dev/dri/renderD128 - -hwaccel_output_format - yuv420p. 264 streams from all the other cameras)? I suppose I should put hwaccel_args: preset-intel-qsv-h265 somewhere. Click AMD GPU. 2 This year in June I upgraded my motherboard & CPU (built in 2015: Asrock H97 Pro4S, Xeon E3-1231v3 24GB 1600 ram, upgraded this year to: Asrock Z170S, i5-7600k, 16GB 3200 ram) and I had upgraded specifically for the Intel QuickSync hardware transcoding. The text was updated successfully, but these errors were encountered: Frigate is an open-source NVR (Network Video Recorder) designed to facilitate real-time video processing with object detection and motion tracking capabilities. Understanding Intel QuickSync in Frigate. The hardware acceleration used for video encoding is different to that used for the the ML object detection. The CPU is Intel i3-12100. Just in case, are you using the GPU in any VM on unraid? Roger, Ill try and have another look, but for quicksync with the iGPU of the Intel CPU it works well, just wanted to try and decrease the load on the CPU with what I had on hand. Answered by NickM-27 May 28, 2022. Less than 2 1080p instances and they're both overkill and you'll probably have better quality just from your CPU. The first message is published when the detection or alert is initiated. You can nowadays It is a bit of an oddball workload for sure - I have the Coral TPU that really helps offload stuff like object detection and it's using QuickSync for encoding. Now you should be able to start Frigate by running docker compose up -d from within the folder containing docker-compose. How would I see the correct PCI ID to do so? This is the output of my /dev/dri and lspci Apps GPU Configuration. 7. I'm able to see the live view of both of my cameras just fine) (Intel QuickSync on Alder Lake CPUs is currently crashing/soft-locking, so just doing this in software for now) Version. unRAID 7. I am running frigate as docker on unraid, on an old PC, here's the spec: i5-8400 CPU @ 2. com Search. 5 running in VM Supervisor 2022. mqtt INFO : MQTT connected detector. The VA-API implementation on Intel processors typically uses the Quick Sync Video Problems enabling and verifying hwaccel on Intel NUC 10th gen (QuickSync) running frigate in lxc in proxmox. You can see this by running docker logs frigate. 265/HEVC support . (edit: CPU is i7-1165G7 ) However I've just been trying to get a 'simple' example to work first, before getting this working within Frigate itself: Frigate is 'working' with about 3 cameras running at full 4K native resolution. NVIDIA NVENC . Frigate runs best on bare metal with the proper accelerations, otherwise it runs poorly. And, the time it takes for live view to start is based on the iframe interval of your camera since the stream has to start on an iframe. Yes, frigate uses hardware decoding https://docs. 2 Frontend 20220707. No response. 1 You must be logged in to vote. exe though. Intel QuickSync, NVIDIA NVENC) to handle video streams, freeing up CPU How can I configure Frigate to use hardware acceleration for decoding both streams (and the H. ffmpeg: I run Frigate with 6 cameras on an old Dell Optiplex that runs Home Assistant. 0-beta5. But The output of ffmpeg -codecs shows: DEV. If for whatever reason you want or have to use main streams, its going to be a quite a considerable load. Last updated on . Be the first to comment Nobody's responded to this post yet. Everything is fine so far. Note that WebRTC only supports h264 and specific audio formats and may require Alternative: Using QuickSync. 264 decode. Hi all, Im looking to get my four Hikvision cameras running through Frigate with real time object detection, but struggle to find the best setup. If VAAPI does not yield satisfactory results, consider using Intel QuickSync Video (QSV), available for processors from the 10th generation onward. I run most of what you're looking to do on an 8 year old Synology DS418play. 1 build he's using for the demo). Do I have to tweak settings or Here are the steps I did to enable Intel Quicksync/Hardware Transcoding and install Plex: 1. ueych fwocml iehmw uwgekn yyo bmqyy slj tqemjuwix yfs ptjwvn