A high-level package to do segmentation
https://github.com/qubvel-org/segmentation_models.pytorch
#cv #ai
https://github.com/qubvel-org/segmentation_models.pytorch
#cv #ai
GitHub
GitHub - qubvel-org/segmentation_models.pytorch: Semantic segmentation models with 500+ pretrained convolutional and transformer…
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones. - qubvel-org/segmentation_models.pytorch
doing something
IS-NET is better in solving of this task - Colab to test it: https://colab.research.google.com/drive/1ACv8XtterroNOgdvSWUwRftwnyFJUrQw?usp=sharing #cv #ai
Recently published BiRefNet models have an ability to extract foreground masks
Colab: https://colab.research.google.com/drive/1X3mkiGMCeoePLlEe2522XTPaL-8iDDgv?usp=sharing
#cv #ai
Colab: https://colab.research.google.com/drive/1X3mkiGMCeoePLlEe2522XTPaL-8iDDgv?usp=sharing
#cv #ai
Linus Torvads about Rust in Linux:
https://www.zdnet.com/article/linus-torvalds-talks-ai-rust-adoption-and-why-the-linux-kernel-is-the-only-thing-that-matters/
#rust #linux
Switching to a more modern topic, the introduction of the Rust language into Linux, Torvalds is disappointed that its adoption isn't going faster. "I was expecting updates to be faster, but part of the problem is that old-time kernel developers are used to C and don't know Rust. They're not exactly excited about having to learn a new language that is, in some respects, very different. So there's been some pushback on Rust."
https://www.zdnet.com/article/linus-torvalds-talks-ai-rust-adoption-and-why-the-linux-kernel-is-the-only-thing-that-matters/
#rust #linux
ZDNET
Linus Torvalds talks AI, Rust adoption, and why the Linux kernel is 'the only thing that matters'
In a wide-ranging conversation with Verizon open-source officer Dirk Hohndel, 'plodding engineer' Linus Torvalds discussed where Linux is today and where it may go tomorrow.
Tested Intel's quantized models of Whisper made by Neural Compressor:
https://github.com/egorsmkv/whisper-intel-optimized
#ai #asr #quantization
https://github.com/egorsmkv/whisper-intel-optimized
#ai #asr #quantization
GitHub
GitHub - egorsmkv/optimized-whisper-intel: Run quantized Whisper models only on CPU with Intel hardware
Run quantized Whisper models only on CPU with Intel hardware - egorsmkv/optimized-whisper-intel
Made first Streamlit app (converting Gradio app using GitHub Copilot)
https://huggingface.co/spaces/Yehor/st-hubert-uk-demo
#ai #ui
https://huggingface.co/spaces/Yehor/st-hubert-uk-demo
#ai #ui
huggingface.co
Streamlit Speech-to-Text for Ukrainian (HuBERT) - a Hugging Face Space by Yehor
Discover amazing ML apps made by the community
doing something
https://mobiusml.github.io/whisper-static-cache-blog/ #asr #ai #whisper #quantization
GitHub
RuntimeError: Expected in.dtype() == at::kInt to be true, but got false. · Issue #108 · mobiusml/hqq
I want to reproduce Whisper + HQQ example but getting error: --------------------------------------------------------------------------- RuntimeError Traceback (most recent call last) [<ipython-...
Okay, I've made a working colab with these speeding mechanisms for Whisper:
- HQQ (quantize linear layers to 4-bit)
- torch.compile
- use static cache
Colab:
https://colab.research.google.com/drive/1zERp53F7gmE58OiqFR0iNV3gw3ybiwHM?usp=sharing
RTF: 0.0531 (batch size = 1) with large-v3
#ai #whisper #asr
- HQQ (quantize linear layers to 4-bit)
- torch.compile
- use static cache
Colab:
https://colab.research.google.com/drive/1zERp53F7gmE58OiqFR0iNV3gw3ybiwHM?usp=sharing
RTF: 0.0531 (batch size = 1) with large-v3
#ai #whisper #asr
Google
Nightly torch with HQQ (nbits=4) + torch.compile + static cache + Whisper.ipynb
Colab notebook
Forwarded from Feed-Master
rerun.io
Why Rust?
I've been a programmer for 20+ years, and few things excite me as much as Rust. My background is mostly in C++, though I have also worked in Python and Lua, and dabbled in many more languages. I started writing Rust around 2014, and since 2018 I've been writing…