Almost All models are based on the Darknet[0] configurations which would come under this License[1]. We further trained/finetuned those architectures on additional datasets collected by us.
Whole framework actual used for final products is completely written in Nim.
Hi HN, I am Anubhav from RamanLabs. We have been developing end to end Computer-vision modules to make it easy for developers, hobbyists to integrate such functionality into their applications with minimal amount of code.
All modules are developed to run real-time on consumer-grade CPUs[0]. For now we are releasing only Python-language SDK. Demos are provided to allow users to test performance on desired data-distribution.
Framework powering these modules in completely written in Nim language, which under the hood wraps some Operation's implementation provided by libraries like OpenBLAS/CuBlas.
We also maintain a blog[1] where we hope to share more underlying technical details.
Hi HN, I am Anubhav from RamanLabs. We have been developing end to end Computer-vision modules to make it easy for developers, hobbyists to integrate such functionality into their applications with minimal amount of code.
All modules are developed to run real-time on consumer-grade CPUs[0]. For now we are releasing only Python-language SDK. Demos are provided to allow users to test performance on desired data-distribution.
Framework powering these modules in completely written in Nim language, which under the hood wraps some Operation's implementation provided by libraries like OpenBLAS/CuBlas.
We also maintain a blog[1] where we hope to share more underlying technical details.
Any feedback is welcome!
Since i found it here on HN, it has been my goto language for all serious projects. Only respect and praise for Nim community ,I started by asking dumb questions on Nim channel, but someone was always there to help. Later I started using Nim for wrapping existing C libraries which allowed me to read codebases, i otherwise would not have read. Being able to write high level code and access memory directly where-ever necessary, hit a sweet spot for me. I recently started porting Code to use ARC, which has been really cool to play with and also provides out of the box automatic memory management for existing C code. Having a single codebase for cross-platform development has been a great help.
Personally would like to use Metaprogramming, macros features for some complex cases , still learning about them.
I think i know you from Nim discord channel, I mainly spent time in Science channel. Thanks for your contributions and checking out the website!
Almost All models are based on the Darknet[0] configurations which would come under this License[1]. We further trained/finetuned those architectures on additional datasets collected by us.
Whole framework actual used for final products is completely written in Nim.
[0] https://github.com/AlexeyAB/darknet [1] https://github.com/AlexeyAB/darknet/blob/master/LICENSE