FastCV Computer Vision is described as 'FastCV will enable you to add new user experiences into your camera-based apps like:' and is an app. There are five alternatives to FastCV Computer Vision for a variety of platforms, including Mac, Windows, Linux, Android and Self-Hosted apps. The best FastCV Computer Vision alternative is OpenCV, which is both free and Open Source. Other great apps like FastCV Computer Vision are Meta SAM 2, BoofCV, DINOv2 and Landing AI Python SDK.
OpenCV (Open Source Computer Vision) is a library of programming functions for real time computer vision.
OpenCV is the most popular Windows, Android, Mac & Linux alternative to FastCV Computer Vision.
OpenCV is the most popular Open Source & free alternative to FastCV Computer Vision.
SAM 2 is the first unified model for segmenting objects across images and videos. You can use a click, box, or mask as the input to select an object on any image or frame of video.
Meta SAM 2 is the most popular Web-based & Self-Hosted alternative to FastCV Computer Vision.
BoofCV is an open source library written from scratch for real-time computer vision. Its functionality includes, low-level image processing, camera calibration, feature detection/tracking, structure-from-motion, fiducial detection, and recognition.
A family of foundation models producing universal features suitable for image-level visual tasks (image classification, instance retrieval, video understanding) as well as pixel-level visual tasks (depth estimation, semantic segmentation).
LandingLens Python SDK is a computer vision toolkit that makes it easy to acquire and process images, with seamless integration with LandingLens platform, a cloud no-code service for training and deploying computer vision AI models.
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