Google’s Lang Extract uses prompts with Gemini or GPT, works locally or in the cloud, and helps you ship reliable, traceable data faster.
Ultralytics, the global leader in open-source vision AI, today announced the launch of Ultralytics YOLO26, the most advanced ...
This video demonstrates how to model rigid objects using springs in a Python physics simulation. We explore how spring forces approximate rigidity, analyze motion and stability, and visualize the ...
Abstract: Video Object Segmentation (VOS) task aims to segment objects in videos. However, previous settings either require time-consuming manual masks of target objects at the first frame during ...
Free-threaded Python is now officially supported, though using it remains optional. Here are four tips for developers getting started with true parallelism in Python. Until recently, Python threads ...
Abstract: The NREL Python Panel-Segmentation package is a toolkit that automates the process of extracting accurate and valuable metadata related to solar array installations, using publicly available ...
SOWLv2 (SegmentedOWLv2) is a powerful command-line tool for text-prompted object segmentation. It seamlessly integrates Google's OWLv2 open-vocabulary object detector with Meta's SAM 2 (Segment ...
The segmentation and classification of breast ultrasound (BUS) images are crucial for the early diagnosis of breast cancer and remain a key focus in BUS image processing. Numerous machine learning and ...
1 College of Information Engineering, Dalian Ocean University, Dalian, China 2 Key Laboratory of Marine Information Technology of Liaoning Province (Dalian Ocean University), Dalian, China In ...
NAGINI-3D | Prediction of Parametric Surfaces for Multi-Object Segmentation in 3D Biological Imaging
We present NAGINI-3D (N-Active shapes for seGmentINg 3D biological Images), a method dedicated to 3D biological images segmentation, based on both deep learning (CNN) and Active Surfaces (Snakes).
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