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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:

SkalskiP

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112,872 次观看 • 1 年前 •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.

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 次观看 • 1 年前

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

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

merve

83,390 次观看 • 1 年前

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:

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

148,075 次观看 • 2 年前

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:

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:

SkalskiP

165,745 次观看 • 1 年前

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)

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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Google released Gemma 3 270M, a new model for hyper-efficient local AI! We'll fine-tune this model and make it very smart at playing chess and predict the next move. Tech stack: - Unsloth AI for efficient fine-tuning. - Hugging Face transformers to run it locally. Let's go! 🚀

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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.

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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17,705 次观看 • 6 个月前

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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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