| ▲ | roryclear 4 days ago |
| fewer features, easier setup, with more GPUs supported. (I've not used frigate myself though, only watched videos) |
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| ▲ | diggan 4 days ago | parent | next [-] |
| Where can I find the list of supported GPUs? Frigate been able to handle everything I've tried so far, all from Nvidia and AMD GPUs to even Intel iGPUs. |
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| ▲ | serf 4 days ago | parent | next [-] | | same here -- it's also among one of the only things to support Coral devices and RPi video cores. I would imagine any GPGPU compute-capable pre-CUDA thing probably won't cut it. | |
| ▲ | d0ugal 4 days ago | parent | prev [-] | | I have used Frigate for years, I think early on it didn't support all of those GPUs. So it might be that said videos are out of date. | | |
| ▲ | roryclear 4 days ago | parent [-] | | Maybe my view of frigate and tensorflow (assuming frigate still uses it) is outdated then. I’m referring to tinygrad vs tensorflow when I say GPU support, of course google’s tensorflow is best for google’s TPUs. I’ve had better luck using tinygrad on my personal devices, but I am biased as it’s been a while since I’ve used tensorflow | | |
| ▲ | threecheese 4 days ago | parent [-] | | This would be a good point of differentiation to make on your GitHub page or for a technical audience on your website. Frigate is SOTA in many folks minds, and to show that you are using tinygrad over tensorflow may be a good “modern-ness” signal for that audience. Edit: another solution in this space shows a list of supported ML runtimes, which would be good info for folks wanting to run on specific hardware. https://github.com/boquila/boquilahub | | |
| ▲ | roryclear 4 days ago | parent [-] | | Supported runtimes list would be nice, but I don't have access to much hardware to test on. I aim to remove most dependencies and support anything that can run tinygrad + ffmpeg |
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| ▲ | pimlottc 4 days ago | parent | prev [-] |
| Sorry, which one are you talking about, frigate or clear cam? |
