Visual comparison between ESCNet and other SOTA methods. Our model accurately segments objects with complex backgrounds and intricate boundaries. For ease of use, we create a eval.sh script and a use ...

Overview: Seven carefully selected OpenCV books guide beginners from basics to advanced concepts, combining theory, coding ...

Abstract: Object detection in aerial imagery, particularly from unmanned aerial vehicles (UAVs) and remote sensing platforms, is crucial but faces significant challenges such as modality misalignment, ...

Build practical Edge AI applications with Raspberry Pi, from basic concepts to object detection and robotics, using the AI HAT+ and Camera Module 3.

Abstract: Machine vision-based anti-drone detection systems enable long-range, cost-effective target monitoring in complex environments. However, small drones typically occupy only a few pixels in ...

In this project, I used Python and OpenCV to detect lane lines on the road. I developed a processing pipeline that works on a series of individual images, and applied the result to a video stream.

The year opened without a reset. The same pressure carried over, and in some places it tightened. Systems people assume are boring or stable are showing up in the wrong places. Attacks moved quietly, ...