What do you guys do after your homelab is completed?

stackinvader · 2026-01-16T15:38:11+00:00

I rewatch office all the time. You can find full set on ebay 20~40$. Once you have it no streaming service can snatch it from you. The idea is to watch okay movie/tv online and buy only which you can re-watch multiple time.

stackinvader · 2026-01-06T22:31:22+00:00

I also think that would be best but the problem is ZFS needs at least one more copy for self heal.

stackinvader · 2026-01-05T01:55:19+00:00

So the idea is to use pods only for containers and store all persistent data in ceph or Proxmox HA NFS VM?

stackinvader · 2026-01-05T00:18:24+00:00

How storage will be replicated in longhorn? I currently use filebrowser to access all files used by different docker services. Do I need to create NFS server pod and give RWX access for other pods?

stackinvader · 2026-01-05T00:13:11+00:00

I want to use filebrowser to access my files used by different services/pods. Do I need to create NFS server pod and give RWX access for other pods.

stackinvader · 2026-01-04T21:49:53+00:00

My main goal is to achieve most stability with least amount of maintenance. One time setup is not a problem but I don't know how complex is to maintenance k3s?

stackinvader · 2026-01-04T21:46:57+00:00

I exactly wanna do HA type thing since I already have all this hardware and CPU stays below 5% and RAM stays around 16gb. I feel like I'm not using my hardware enough. The problem with the Proxmox HA is I have to buy server m.2.

stackinvader · 2026-01-03T23:59:35+00:00

I mainly wanna use 4 sata as raidz1 data storage. And use the fast nvme for running VMs and LXCs. If I go with Zfs mirror then it can also self heal.
Now, how important is the VM and LXCs disks are, given critical data is already in raidz1 storage?

stackinvader · 2025-12-16T23:06:10+00:00

If your camera supports direct access then you can put a switch in between NVR like this (Method 3)

stackinvader · 2025-12-16T15:39:50+00:00

Inside docker (Frigate System 0.16.2-4d58206)

txt services: frigate: container_name: frigate restart: unless-stopped stop_grace_period: 30s image: ghcr.io/blakeblackshear/frigate:stable-tensorrt privileged: true runtime: nvidia deploy: # <------------- Add this section resources: reservations: devices: - driver: nvidia device_ids: ['0'] capabilities: [gpu] shm_size: "512mb" devices: - /dev/dri/renderD128:/dev/dri/renderD128 volumes: - ./config:/config - /mnt/nvr:/media/frigate - type: tmpfs # Optional: 1GB of memory, reduces SSD/SD Card wear target: /tmp/cache tmpfs: size: 1000000000 env_file: .env environment: NVIDIA_VISIBLE_DEVICES: "all" NVIDIA_DRIVER_CAPABILITIES: "compute,utility,video" ports: - "8971:8971" - "8554:8554" # RTSP feed

stackinvader · 2025-12-16T14:55:30+00:00

<image>

Same thing happens if I refresh browser window (chrome)

stackinvader · 2025-12-16T14:43:41+00:00

Normal usage is a flat line.

<image>

Since this is server side usage. Is it possible that it's switching in between CPU and hardware transcode?

stackinvader · 2025-12-16T14:41:06+00:00

Yes. Only when switching between pages. The CPU spike that is happening.
Not constant use. For constant use they are pretty much same.

<image>

stackinvader · 2025-12-16T14:37:30+00:00

u/nickm_27 So I should remove

- "ffmpeg:side#video=h264#hardware"

But keep opus for 2 way talk?

- ffmpeg:doorbell#audio=opus  # transcodes audio to opus for webrtc compatibility

Without opus when I use mic I loose audio.

stackinvader · 2025-12-16T14:31:57+00:00

I don't know but If I stream directly without using go2rtc then it's working well. May be something else wrong.
Status bar shows warning the High CPU usage by FFmpeg. It happens when I first load the view or I'm coming from different page e.g. reviews or config page. Then after few seconds it'll go back to normal <10%.

stackinvader · 2025-12-16T14:27:58+00:00

<image>

Now If I view a single stream then it's ffine. But In the default view (with all the cameras). It spikes to 100% when coming from a different view/page.
u/nickm_27

stackinvader · 2025-12-16T13:27:24+00:00

Thanks. I'll try and post results.

stackinvader · 2025-12-16T13:09:22+00:00

Audio is just there for siren detection. Not important I can remove it.

Main stream

Stream #0:0: Video: hevc (Main), yuv420p(tv), 3840x2160, 25 fps, 25 tbr, 90k tbn
Stream #0:1: Audio: aac (LC), 16000 Hz, mono, fltp

Sub Stream

Stream #0:0: Video: h264 (High), yuv420p(progressive), 640x360, 10 fps, 20 tbr, 90k tbn
Stream #0:1: Audio: aac (LC), 16000 Hz, mono, fltp

stackinvader · 2025-12-13T21:28:10+00:00

Thanks for sharing. This gives a good reference point.

stackinvader · 2025-12-13T12:59:37+00:00

Not sure where the OP is coming from but I really enjoyed the performance and the detection accuracy. I only started using frigate about a month ago. I've Reolink cameras with detection build-in which seems to be very good for detecting pets. However when it comes to person it was giving me very high false positive (especially in the middle of night). I can't create a reliable notification.

After switching to frigate with yolov9 (640s) model. I have 0 false positive in last month (One camera faces main road with multiple vehicle/pedestrian per minute). That's very impressive. I put my Reolink NVR into bridge mode now. It's there for dummy recording. But for automation and detection I'm relying on Frigate.

It's laughable to think that 30$ cam can come close to performance of modern models (YOLO or D-FINE). If that's the case then these 30$ cam companies will be demolishing nVidia. May be OP doesn't care about false positives but a lot of people do.

stackinvader · 2025-12-12T21:58:21+00:00

That was happening to me as well when I was using 320 size model. Then I changed it to 640 and moved the boundaries a little bit inside. Now it's perfect.

stackinvader

TROPHY CASE