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supervision-0.26.0 is out we finally released support for ViTPose and ViTPose++ pose estimation models from Hugging Face transformers link:

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SkalskiP

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112,872 просмотров • 1 год назад •via X (Twitter)

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latest transformers release added support for pose estimation with ViTPose and ViTPose++ (Apache 2.0 license). upcoming supervision release will add full support for ViTPose and ViTPose++, along with useful utilities for keypoint detection models.
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latest transformers release added support for pose estimation with ViTPose and ViTPose++ (Apache 2.0 license). upcoming supervision release will add full support for ViTPose and ViTPose++, along with useful utilities for keypoint detection models.

SkalskiP

46,031 просмотров • 1 год назад

ViTPose -- best open-source pose estimation model just landed to Hugging Face transformers 🕺🏻💃🏻 See how to use on the next one ⤵️
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ViTPose -- best open-source pose estimation model just landed to Hugging Face transformers 🕺🏻💃🏻 See how to use on the next one ⤵️

merve

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supervision-0.22.0 is coming out today one of the things we release is Mediapipe integration along with default visualizers for face and body pose keypoints link:
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supervision-0.22.0 is coming out today one of the things we release is Mediapipe integration along with default visualizers for face and body pose keypoints link:

SkalskiP

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supervision-0.24.0 is out! you can finally count per-class line crossings. many of you have been asking for this, now we have it! it took me barely 30 minutes to make this demo using supervision! link:
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supervision-0.24.0 is out! you can finally count per-class line crossings. many of you have been asking for this, now we have it! it took me barely 30 minutes to make this demo using supervision! link:

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Google released an app that allows you to run LLMs from Hugging Face, fully privately and 100% local 🔥 > Generate code on-the-fly > Chat with images > Supports multi-turn conversations > Choose any model from Hugging Face > Based on LiteRT 🔥 > Sign in with HF Support for iOS coming soon! - exciting times for LiteRT and LocalLlama community! 💥

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How can we use test-time compute for spatial understanding? 🤔 In InterPose, we propose to repeatedly sample generative video models to help two-view pose estimation and reconstruction, by leveraging the video models' keyframe interpolation abilities. A 🧵... (1/8)
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How can we use test-time compute for spatial understanding? 🤔 In InterPose, we propose to repeatedly sample generative video models to help two-view pose estimation and reconstruction, by leveraging the video models' keyframe interpolation abilities. A 🧵... (1/8)

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The v0.14 release of BERTopic is here 🥳 Fine-tune your topic keywords and labels with models from OpenAI, Hugging Face, @CohereAI, spaCy, and . Use models for part-of-speech tagging, text generation, zero-shot classification, and more! An overview thread👇🧵

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Let’s fucking goooo, starting today you can directly try out AI models on FREE Colab notebooks from Hugging Face 🔥 Continuing with our mission to make AI accessible to the masses - we’re excited to support Colaboratory for fast exploration and rapid prototyping! BONUS: you can put a custom “notebook.ipynb” in your model repo and we’ll serve that directly!

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Use Your Private Models on Comfy Cloud! Continue client work safely — or generate with your experimental private models. You can now import models directly from private Hugging Face or Civitai repos. Just add your private key and model URL, and we will bring the models to your workflow! Everything you import stays 100% private to your account.
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Use Your Private Models on Comfy Cloud! Continue client work safely — or generate with your experimental private models. You can now import models directly from private Hugging Face or Civitai repos. Just add your private key and model URL, and we will bring the models to your workflow! Everything you import stays 100% private to your account.

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Dexter can now use local LLMs. We finally added ollama support today. Includes models like: • qwen 3 • gemma 3 • deepseek r1 Because Dexter is built on LangChain, switching between local and cloud models is easy. Huge thanks to Harsh Gupta for shipping this.

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🚀 I spent the entire day training image segmentation models from scratch! I've created several pretrained models to detect features like buildings, cars, ships, solar panels, and wetlands. Video tutorials are coming soon! 🤗 Check out the pretrained models on Hugging Face: 🛠️ Check out the GitHub repository: 📚 Dive into the documentation: 📺 Check out the entire YouTube playlist: #GeoAI #geospatial #AI #Python #DeepLearning

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Microsoft Asia just dropped Mage-Flow on Hugging Face a smol 4B model for image generation and editing that matches much larger models in quality and it's fast! 4 steps in < 1s at 1024x1024 (model goes up to 4K) try out on spaces

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We are open-sourcing TTSKit! Run state-of-the-art text-to-speech models on your Mac and iPhone. The launch version supports Qwen Qwen3-TTS and generates audio faster than real-time playback with sub-200 ms time-to-first-byte. Voice cloning and advanced speed optimizations will be in the next version. Link to the GitHub repo and models on Hugging Face in comments.

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[1/6] What representation comes to mind when you think of a ‘camera’? Perhaps an extrinsic + intrinsic matrix? In our ICLR (oral) paper, we instead infer a distributed representation where each pixel is associated with a ray, and show SoTA results for few-view pose estimation.
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[1/6] What representation comes to mind when you think of a ‘camera’? Perhaps an extrinsic + intrinsic matrix? In our ICLR (oral) paper, we instead infer a distributed representation where each pixel is associated with a ray, and show SoTA results for few-view pose estimation.

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The speech on the FREE open source Sesame text to speech is astonishing. It just killed Google’s voice project for podcasts and the monetization they hoped for. Here is a Hugging Face Gradio link to test: But download it and clone your voice!

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