Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
Computer science is the study and development of the protocols required for automated processing and manipulation of data. This includes, for example, creating algorithms for efficiently searching ...
This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, and RandLA-Net— on a Flash Lidar dataset. The ...
Abstract: Conventional computer vision pipelines typically treat low-level enhancement and high-level semantic tasks as isolated processes, focusing on optimizing enhancement for perceptual quality ...
Abstract: The computational requirements of image processing pose a significant challenge to developing applications in a cost-efficient manner. This is particularly critical for edge devices, where ...
Hyperspectral imaging (HSI) captures rich spectral–spatial cues that enable material identification, target detection, environmental monitoring, and precision agriculture at scale. A new wave of ...
_, th2 = cv.threshold(img, 200, 255, cv.THRESH_BINARY_INV) _, th3 = cv.threshold(img, 127, 255, cv.THRESH_TRUNC) _, th4 = cv.threshold(img, 127, 255, cv.THRESH_TOZERO ...
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