This project demonstrates instance segmentation using Mask R-CNN with the OpenCV DNN module. The model is pre-trained on the COCO dataset and can detect and segment multiple object classes in images.

The Python team at Microsoft is continuing its overhaul of environment management in Visual Studio Code, with the August 2025 release advancing the controlled rollout of the new Python Environments ...

A Killeen business owner is saying that her business was unfairly given a code violation notice and had its water shut off Monday due to an unnecessary backflow device. The city of Killeen is ...

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 ...

Python libraries are pre-written collections of code designed to simplify programming by providing ready-made functions for specific tasks. They eliminate the need to write repetitive code and cover ...

Human pose estimation is a cutting-edge computer vision technology that transforms visual data into actionable insights about human movement. By utilizing advanced machine learning models like ...

This paper was just accepted at CVPR 2025. In short, CASS is as an elegant solution to Object-Level Context in open-world segmentation. They outperform several training-free approaches and even ...

Abstract: Service robots operating in unstructured environments must effectively recognize and segment unknown objects to enhance their functionality. Traditional supervised learning-based ...

This Python code implements real-time object detection using the Single Shot MultiBox Detector (SSD) MobileNet v3 model and OpenCV. It can identify and visualize objects from a predefined set of ...