Rémi Bédard-Couture

I was able to fix it. I ran it on the CPU (not sure it is possible to access the gpu with virtualbox). You can find a detailed step-by-step guide...

Same issue with Xbox One

I'm on Windows. Using boost 1.75 and the default clang that comes with Visual Studio 2019 (v12 I believe). I also just tried your parallel example using threads. It compiles...

sorry about that, it does run in parallel. I thought it didn't because with a large dataset, the function to divide work (which is single threaded) ran for multiple hours....

``` #include #include #include #include int main(int argc, char** argv){ std::vector v2{ 1,2,3,4,5 }; auto comb = discreture::combinations(v2, 2); //for (auto&& comb : discreture::combinations(v2, 2)) { std::for_each(std::execution::par, comb.begin(), comb.end(), [&](auto...

MSVC was complaining about missing default constructor so I added this line : ``` public: n_iterator(){} explicit n_iterator(int t = 0) : value_(t) {} ``` And it's working as expected...

Hmm indeed it could be related. I guess it has something to do with the Windows implementation.

I second this request. It think its much easier to manually regroup the few duplicate clusters than to tweak the clustering algorithm to get perfect clusters

When installing Frigate manually, TensorRT might have already been installed with the latest version (v10), hence why I would like to include support. I would like to avoid patching this...

> To confirm, what do you mean by "installing Frigate manually"? We've developed a script at Tteck's Proxmox Helper Script to install Frigate without Docker. For now, it works with...