Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

Florence-2 + SAM2 - video processing I allowed for comma-separated class names in both video and image inference mode now, you can play with it in my Hugging Face space:

skalskip92's profile picture

SkalskiP

50,637 subscribers

142,311 görüntüleme • 2 yıl önce •via X (Twitter)

Bilim & Teknoloji
LIVE

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

Hunyuan 3D-2.1 turns any flat image into studio-quality 3D models. And you can do it on this Hugging Face space for free.
0:11

Hunyuan 3D-2.1 turns any flat image into studio-quality 3D models. And you can do it on this Hugging Face space for free.

Rohan Paul

222,769 görüntüleme • 1 yıl önce

Florence-2 + SAM-2 SAM-2 doesn't understand language on its own, but Florence-2 does. I'm having a lot of fun with this combo! The first version of my Hugging Face space is already online. link:
0:18

Florence-2 + SAM-2 SAM-2 doesn't understand language on its own, but Florence-2 does. I'm having a lot of fun with this combo! The first version of my Hugging Face space is already online. link:

SkalskiP

70,328 görüntüleme • 2 yıl önce

Yes, you can play the banjo in The Last of Us Part II Remastered's Guitar Free Play mode... and you can even do it with a familiar face! 🪕 Pre-order now, available January 19:
0:16

Yes, you can play the banjo in The Last of Us Part II Remastered's Guitar Free Play mode... and you can even do it with a familiar face! 🪕 Pre-order now, available January 19:

Naughty Dog

375,847 görüntüleme • 2 yıl önce

From product image to video with just one tool - Dzine As you may have noticed, this is one of my favorite tools. It is also very underrated, as probably 50% of my tutorials include some workflow. I was testing the new image-to-video option today, and I love it. Step - by step guide in comments 🔽 I can do 95% of a workflow without switching between apps. Image generation, Image to image with style reference, background removal, background generation, and 2 frames image to video. The only other app I have been using for this video is CapCut so that I can stitch it together. Step by step 🔽
0:11

From product image to video with just one tool - Dzine As you may have noticed, this is one of my favorite tools. It is also very underrated, as probably 50% of my tutorials include some workflow. I was testing the new image-to-video option today, and I love it. Step - by step guide in comments 🔽 I can do 95% of a workflow without switching between apps. Image generation, Image to image with style reference, background removal, background generation, and 2 frames image to video. The only other app I have been using for this video is CapCut so that I can stitch it together. Step by step 🔽

Teodora P L

28,523 görüntüleme • 2 yıl önce

Hugging Face 🤝 Jan You can now use Hugging Face as a remote model provider in Jan. Go to Settings -> Model Providers -> add your Hugging Face API key. Then open a new chat and pick a model from Hugging Face. Works with any model in Hugging Face in Jan.
0:16

Hugging Face 🤝 Jan You can now use Hugging Face as a remote model provider in Jan. Go to Settings -> Model Providers -> add your Hugging Face API key. Then open a new chat and pick a model from Hugging Face. Works with any model in Hugging Face in Jan.

👋 Jan

22,299 görüntüleme • 1 yıl önce

The Pruna-Qwen-Image-2.1 Space is now live! You can now test our few-step LoRA adapters for Qwen-Image-2.1 by Qwen directly in your browser, no setup or code required. - 5 steps for maximum speed - 8 steps for the best balance of speed and quality - Text-to-image and image editing support Put it to the test and show us the results. B𝘦𝘵𝘵𝘦𝘳 𝘷𝘦𝘳𝘴𝘪𝘰𝘯𝘴 𝘰𝘯 𝘵𝘩𝘦 𝘸𝘢𝘺. 🚀 Test the Pruna-Qwen-Image-2.1 Space on Hugging Face by AK: Check Pruna-Qwen-Image-2.1:
0:15

The Pruna-Qwen-Image-2.1 Space is now live! You can now test our few-step LoRA adapters for Qwen-Image-2.1 by Qwen directly in your browser, no setup or code required. - 5 steps for maximum speed - 8 steps for the best balance of speed and quality - Text-to-image and image editing support Put it to the test and show us the results. B𝘦𝘵𝘵𝘦𝘳 𝘷𝘦𝘳𝘴𝘪𝘰𝘯𝘴 𝘰𝘯 𝘵𝘩𝘦 𝘸𝘢𝘺. 🚀 Test the Pruna-Qwen-Image-2.1 Space on Hugging Face by AK: Check Pruna-Qwen-Image-2.1:

Pruna AI

11,978 görüntüleme • 1 ay önce

chat with papers for any arXiv link to HF paper you can now chat using Hugging Chat All Hugging Face Papers now include a built-in assistant, powered by HuggingChat and the Hugging Face MCP server. It helps you quickly understand papers by answering questions, summarizing key ideas, and providing context as you browse the latest research
0:13

chat with papers for any arXiv link to HF paper you can now chat using Hugging Chat All Hugging Face Papers now include a built-in assistant, powered by HuggingChat and the Hugging Face MCP server. It helps you quickly understand papers by answering questions, summarizing key ideas, and providing context as you browse the latest research

AK

40,103 görüntüleme • 10 ay önce

Whoa, you can now set headers for your app store connect page, and replace your screenshots on search results with a banner And both can be an image or video
0:10

Whoa, you can now set headers for your app store connect page, and replace your screenshots on search results with a banner And both can be an image or video

Charlie Chapman

103,623 görüntüleme • 4 ay önce

If you love open models, you’ll love this: Crush now runs with Hugging Face Inference Providers 🤗✨
0:15

If you love open models, you’ll love this: Crush now runs with Hugging Face Inference Providers 🤗✨

Charm

38,931 görüntüleme • 1 yıl önce

Cool: Hugging Face is now supported in opencode, select your favorite model from the Hub and it will consume your inference quota directly. I recommend starting with GLM-4.5 (great at coding + awesome at agentic tasks)
0:14

Cool: Hugging Face is now supported in opencode, select your favorite model from the Hub and it will consume your inference quota directly. I recommend starting with GLM-4.5 (great at coding + awesome at agentic tasks)

Victor M

50,554 görüntüleme • 1 yıl önce

Adobe just released Transparent Background videos for Firefly Video model 🎉 Formerly known as TransPixar (later named Transpixeler) it's here for you to play on Firefly web. It supports both text-to-image and image-to-video.
0:14

Adobe just released Transparent Background videos for Firefly Video model 🎉 Formerly known as TransPixar (later named Transpixeler) it's here for you to play on Firefly web. It supports both text-to-image and image-to-video.

Kris Kashtanova

33,581 görüntüleme • 1 yıl önce

🚀 The Segment Anything Model (SAM) has been upgraded to SAM2, featuring an efficient image encoder for segmenting images and videos. But does SAM2 outperform SAM1 in medical image and video segmentation? We're thrilled to present our paper "Segment Anything in Medical Images and Videos: Benchmark and Deployment"! We comprehensively benchmark SAM2 across 11 medical image modalities and videos. 📄 Paper: 💻 Code: **Highlights:** 1. SAM2 doesn’t always outperform SAM1 in 2D medical images, but excels in video segmentation, making it more accurate and efficient for 3D images, such as CT and MR scans. 2. MedSAM still outperforms SAM2 on most 2D modalities, but SAM2 surpasses MedSAM for 3D image segmentation in a slice-by-slice approach. 3. Segmentation performance varies with model size; sometimes the smallest model outperforms larger ones. 4. Fine-tuning SAM2 significantly boosts its performance for medical image segmentation. While SAM2 may struggle with challenging objects that have unclear boundaries or low contrast, it excels in generating good initial segmentation masks for common medical images and videos. However, the official interface doesn’t support medical data formats and has limitations on video length. To address this, we've developed a 3D Slicer Plugin and Gradio API for efficient 3D medical image and video segmentation. We invite you to try them out and provide feedback! 🔧 Deployment: - 3D Slicer Plugin: - Gradio API: (Note: Due to GPU limitations, the online API is available for only 12 hours and may be slow. We highly recommend deploying the Gradio API with your own computing resources: A big shoutout to Jun Ma (JunMa) who recently joined our UHN AI hub (UHN AI Hub) as Machine Learning Lead, and kudos to all co-authors: Sumin Kim, Feifei Li, Mohammed Baharoon (Mohammed Baharoon), Reza Asakereh, and Hongwei Lyu! This is true teamwork! Looking forward to collaborating with the community to advance 3D medical image and video segmentation foundation models! University Health Network U of T Department of Computer Science Department of Laboratory Medicine & Pathobiology Temerty Centre for AI in Medicine (T-CAIREM) Vector Institute #MedTech #AIinHealthcare #DeepLearning #MedicalImaging #SAM2 #MedSAM #AIResearch
0:22

🚀 The Segment Anything Model (SAM) has been upgraded to SAM2, featuring an efficient image encoder for segmenting images and videos. But does SAM2 outperform SAM1 in medical image and video segmentation? We're thrilled to present our paper "Segment Anything in Medical Images and Videos: Benchmark and Deployment"! We comprehensively benchmark SAM2 across 11 medical image modalities and videos. 📄 Paper: 💻 Code: **Highlights:** 1. SAM2 doesn’t always outperform SAM1 in 2D medical images, but excels in video segmentation, making it more accurate and efficient for 3D images, such as CT and MR scans. 2. MedSAM still outperforms SAM2 on most 2D modalities, but SAM2 surpasses MedSAM for 3D image segmentation in a slice-by-slice approach. 3. Segmentation performance varies with model size; sometimes the smallest model outperforms larger ones. 4. Fine-tuning SAM2 significantly boosts its performance for medical image segmentation. While SAM2 may struggle with challenging objects that have unclear boundaries or low contrast, it excels in generating good initial segmentation masks for common medical images and videos. However, the official interface doesn’t support medical data formats and has limitations on video length. To address this, we've developed a 3D Slicer Plugin and Gradio API for efficient 3D medical image and video segmentation. We invite you to try them out and provide feedback! 🔧 Deployment: - 3D Slicer Plugin: - Gradio API: (Note: Due to GPU limitations, the online API is available for only 12 hours and may be slow. We highly recommend deploying the Gradio API with your own computing resources: A big shoutout to Jun Ma (JunMa) who recently joined our UHN AI hub (UHN AI Hub) as Machine Learning Lead, and kudos to all co-authors: Sumin Kim, Feifei Li, Mohammed Baharoon (Mohammed Baharoon), Reza Asakereh, and Hongwei Lyu! This is true teamwork! Looking forward to collaborating with the community to advance 3D medical image and video segmentation foundation models! University Health Network U of T Department of Computer Science Department of Laboratory Medicine & Pathobiology Temerty Centre for AI in Medicine (T-CAIREM) Vector Institute #MedTech #AIinHealthcare #DeepLearning #MedicalImaging #SAM2 #MedSAM #AIResearch

Bo Wang

178,791 görüntüleme • 2 yıl önce

Turn still images into stunning 4K videos in seconds! With Akool’s AI-powered Image to Video tool, you can customize your video with creative promos and personal touches — no editing skills needed. Try it now:
0:15

Turn still images into stunning 4K videos in seconds! With Akool’s AI-powered Image to Video tool, you can customize your video with creative promos and personal touches — no editing skills needed. Try it now:

Akool Inc

11,230,216 görüntüleme • 1 yıl önce

You can now turn any image on X into a video. Long press on an image that you like and select Make Video with Grok.
0:13

You can now turn any image on X into a video. Long press on an image that you like and select Make Video with Grok.

Chaitu

993,833 görüntüleme • 1 yıl önce

You can now route each request to the "fastest" ⚡ or "cheapest" 💸 provider with Hugging Face Inference Providers in Copilot Chat on Visual Studio Code!🤗 For each model, you can explicitly choose "cheapest" when price matters - or "fastest" when throughput is the priority. thanks to Simon Brandeis for shipping this!
0:18

You can now route each request to the "fastest" ⚡ or "cheapest" 💸 provider with Hugging Face Inference Providers in Copilot Chat on Visual Studio Code!🤗 For each model, you can explicitly choose "cheapest" when price matters - or "fastest" when throughput is the priority. thanks to Simon Brandeis for shipping this!

célina

33,234 görüntüleme • 1 yıl önce

holy shit! you can now read the chat conversations in Hugging Face datasets 👀
0:13

holy shit! you can now read the chat conversations in Hugging Face datasets 👀

Caleb

50,682 görüntüleme • 1 yıl önce