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Introducing CoMotion, a project that detects and tracks detailed 3D poses of multiple people using a single monocular camera stream. This system maintains temporally coherent predictions in crowded scenes filled with difficult poses and occlusions, enabling online tracking through frames with high accuracy.
🔍 Key Features:
- Precise detection and tracking in crowded scenes
- Temporal coherence even with occlusions
- High accuracy in tracking multiple people over time
This project advances 3D human motion tracking by offering faster and more accurate tracking of multiple individuals compared to existing systems.
#AI #DeepLearning #3DTracking #ComputerVision #PoseEstimation
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🎯 Trackers Library is Officially Released! 🚀
If you're working in computer vision and object tracking, this one's for you!
💡 Trackers is a powerful open-source library with support for a wide range of detection models and tracking algorithms:
✅ Plug-and-play compatibility with detection models from:
Roboflow Inference, Hugging Face Transformers, Ultralytics, MMDetection, and more!
✅ Tracking algorithms supported:
SORT, DeepSORT, and advanced trackers like StrongSORT, BoT‑SORT, ByteTrack, OC‑SORT – with even more coming soon!
🧩 Released under the permissive Apache 2.0 license – free for everyone to use and contribute.
👏 Huge thanks to Piotr Skalski for co-developing this library, and to Raif Olson and Onuralp SEZER for their outstanding contributions!
📌 Links:
🔗 GitHub
🔗 Docs
📚 Quick-start notebooks for SORT and DeepSORT are linked 👇🏻
https://www.linkedin.com/posts/skalskip92_trackers-library-is-out-plugandplay-activity-7321128111503253504-3U6-?utm_source=share&utm_medium=member_desktop&rcm=ACoAAEXwhVcBcv2n3wq8JzEai3TfWmKLRLTefYo
#ComputerVision #ObjectTracking #OpenSource #DeepLearning #AI
📡 By: https://yangx.top/DataScienceN
If you're working in computer vision and object tracking, this one's for you!
💡 Trackers is a powerful open-source library with support for a wide range of detection models and tracking algorithms:
✅ Plug-and-play compatibility with detection models from:
Roboflow Inference, Hugging Face Transformers, Ultralytics, MMDetection, and more!
✅ Tracking algorithms supported:
SORT, DeepSORT, and advanced trackers like StrongSORT, BoT‑SORT, ByteTrack, OC‑SORT – with even more coming soon!
🧩 Released under the permissive Apache 2.0 license – free for everyone to use and contribute.
👏 Huge thanks to Piotr Skalski for co-developing this library, and to Raif Olson and Onuralp SEZER for their outstanding contributions!
📌 Links:
🔗 GitHub
🔗 Docs
📚 Quick-start notebooks for SORT and DeepSORT are linked 👇🏻
https://www.linkedin.com/posts/skalskip92_trackers-library-is-out-plugandplay-activity-7321128111503253504-3U6-?utm_source=share&utm_medium=member_desktop&rcm=ACoAAEXwhVcBcv2n3wq8JzEai3TfWmKLRLTefYo
#ComputerVision #ObjectTracking #OpenSource #DeepLearning #AI
📡 By: https://yangx.top/DataScienceN
Linkedin
Trackers Library is Out! | Piotr Skalski
Trackers Library is Out! 🔥 🔥 🔥
- Plug‑and‑play integration with detectors from Transformers, Inference, Ultralytics, PaddlePaddle, MMDetection, and more.
- Built‑in support for SORT and DeepSORT today, with StrongSORT, BoT‑SORT, ByteTrack, OC‑SORT, and…
- Plug‑and‑play integration with detectors from Transformers, Inference, Ultralytics, PaddlePaddle, MMDetection, and more.
- Built‑in support for SORT and DeepSORT today, with StrongSORT, BoT‑SORT, ByteTrack, OC‑SORT, and…
👍4❤1🔥1
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NVIDIA introduces GENMO, a unified generalist model for human motion that seamlessly combines motion estimation and generation within a single framework. GENMO supports conditioning on videos, 2D keypoints, text, music, and 3D keyframes, enabling highly versatile motion understanding and synthesis.
Currently, no official code release is available.
Review:
https://t.ly/Q5T_Y
Paper:
https://lnkd.in/ds36BY49
Project Page:
https://lnkd.in/dAYHhuFU
#NVIDIA #GENMO #HumanMotion #DeepLearning #AI #ComputerVision #MotionGeneration #MachineLearning #MultimodalAI #3DReconstruction
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python_basics.pdf
212.3 KB
🚀 Master Python with Ease!
I've just compiled a set of clean and powerful Python Cheat Sheets to help beginners and intermediates speed up their coding workflow.
Whether you're brushing up on the basics or diving into data science, these sheets will save you time and boost your productivity.
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Python Basics
Jupyter Notebook Tips
Importing Libraries
NumPy Essentials
Pandas Overview
Perfect for students, developers, and anyone looking to keep essential Python knowledge at their fingertips.
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🌟 Join the communities:
I've just compiled a set of clean and powerful Python Cheat Sheets to help beginners and intermediates speed up their coding workflow.
Whether you're brushing up on the basics or diving into data science, these sheets will save you time and boost your productivity.
📌 Topics Covered:
Python Basics
Jupyter Notebook Tips
Importing Libraries
NumPy Essentials
Pandas Overview
Perfect for students, developers, and anyone looking to keep essential Python knowledge at their fingertips.
#Python #CheatSheets #PythonTips #DataScience #JupyterNotebook #NumPy #Pandas #MachineLearning #AI #CodingTips #PythonForBeginners
🌟 Join the communities:
✉️ Our Telegram channels: https://yangx.top/addlist/0f6vfFbEMdAwODBk
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Forwarded from Python | Machine Learning | Coding | R
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— Uses Segment Anything (SAM) by Meta for object segmentation
— Leverages Inpaint-Anything for realistic background generation
— Works in your browser with an intuitive Gradio UI
#AI #ImageEditing #ComputerVision #Gradio #OpenSource #Python
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🔥 Trending Repository: Mathematics-for-ML
📝 Description: 🧮 A collection of resources to learn mathematics for machine learning
🔗 Repository URL: https://github.com/dair-ai/Mathematics-for-ML
📖 Readme: https://github.com/dair-ai/Mathematics-for-ML#readme
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==================================
🧠 By: https://yangx.top/DataScienceN
📝 Description: 🧮 A collection of resources to learn mathematics for machine learning
🔗 Repository URL: https://github.com/dair-ai/Mathematics-for-ML
📖 Readme: https://github.com/dair-ai/Mathematics-for-ML#readme
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==================================
🧠 By: https://yangx.top/DataScienceN
🔥 Trending Repository: awesome-learning-resources
📝 Description: 🔥 Awesome list of resources on Web Development.
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🧠 By: https://yangx.top/DataScienceN
📝 Description: 🔥 Awesome list of resources on Web Development.
🔗 Repository URL: https://github.com/lauragift21/awesome-learning-resources
📖 Readme: https://github.com/lauragift21/awesome-learning-resources#readme
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🌟 Stars: 5.6K stars
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==================================
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🔥 Trending Repository: awesome-machine-learning-interpretability
📝 Description: A curated list of awesome responsible machine learning resources.
🔗 Repository URL: https://github.com/jphall663/awesome-machine-learning-interpretability
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🍴 Forks: 608 forks
💻 Programming Languages: Not available
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🧠 By: https://yangx.top/DataScienceN
📝 Description: A curated list of awesome responsible machine learning resources.
🔗 Repository URL: https://github.com/jphall663/awesome-machine-learning-interpretability
📖 Readme: https://github.com/jphall663/awesome-machine-learning-interpretability#readme
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==================================
🧠 By: https://yangx.top/DataScienceN
🔥 Trending Repository: awesome-ai-ml-dl
📝 Description: Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
🔗 Repository URL: https://github.com/neomatrix369/awesome-ai-ml-dl
📖 Readme: https://github.com/neomatrix369/awesome-ai-ml-dl#readme
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💻 Programming Languages: Jupyter Notebook - Python - Shell
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==================================
🧠 By: https://yangx.top/DataScienceN
📝 Description: Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
🔗 Repository URL: https://github.com/neomatrix369/awesome-ai-ml-dl
📖 Readme: https://github.com/neomatrix369/awesome-ai-ml-dl#readme
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==================================
🧠 By: https://yangx.top/DataScienceN
🔥 Trending Repository: backdoor-learning-resources
📝 Description: A list of backdoor learning resources
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📊 Statistics:
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==================================
🧠 By: https://yangx.top/DataScienceN
📝 Description: A list of backdoor learning resources
🔗 Repository URL: https://github.com/THUYimingLi/backdoor-learning-resources
📖 Readme: https://github.com/THUYimingLi/backdoor-learning-resources#readme
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==================================
🧠 By: https://yangx.top/DataScienceN
🔥 Trending Repository: prompt-in-context-learning
📝 Description: Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates. - Professor Yu Liu
🔗 Repository URL: https://github.com/EgoAlpha/prompt-in-context-learning
🌐 Website: https://egoalpha.com
📖 Readme: https://github.com/EgoAlpha/prompt-in-context-learning#readme
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==================================
🧠 By: https://yangx.top/DataScienceN
📝 Description: Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates. - Professor Yu Liu
🔗 Repository URL: https://github.com/EgoAlpha/prompt-in-context-learning
🌐 Website: https://egoalpha.com
📖 Readme: https://github.com/EgoAlpha/prompt-in-context-learning#readme
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🌟 Stars: 1.6K stars
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💻 Programming Languages: Jupyter Notebook - HTML
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==================================
🧠 By: https://yangx.top/DataScienceN