Maybe my view of frigate and tensorflow (assuming frigate still uses it) is outdated then.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
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
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
True and unfortunately this doesn't often result in any damage until way later when someone buys your sensitive documents and commits fraud. By the time the fraud happens, we likely have no idea which breach the info even came from.
And it's on top. I wonder how often people actually read entire article or the comment. I think most often people read the first line and just choose if they agree or don't agree with comment and vote accordingly.
More often I have seen that the top comment on the article is completely opposite perspective of what is in the article. For example, if article is about why Flutter or Go is amazing we will see why both are worst choices ever as top comment here.
I think it just proves people feel the "need" to comment only if they disagree. If they agree with article they don't bother explaining and hence low comment count. In short, a controversial topic will generate lot of engagement and hence other social network don't bother moderating and let people engage in harmful behaviours to society at whole.
Yes, I was checking out both projects but got distracted and didn't notice which one I replied to. By the time someone kindly pointed it out the edit window had closed.