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Detection Filtering · Awesome GitHub Repositories

2 repos

Awesome GitHub RepositoriesDetection Filtering

Techniques for refining and pruning machine learning detection outputs.

Distinguishing note: Focuses on suppression of redundant detections, distinct from general data cleaning.

Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Detection Filtering. Refine with filters or upvote what's useful.

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  • CMU-Perceptual-Computing-Lab/openpose

    CMU-Perceptual-Computing-Lab/openpose

    33,793View on GitHub↗

    OpenPose is a real-time pose estimation engine designed to detect and track human body, face, hand, and foot landmarks. It functions as a multi-person motion tracker, identifying the spatial coordinates of multiple individuals simultaneously within video streams or static images. Beyond two-dimensional detection, the software acts as a three-dimensional kinematics processor, reconstructing spatial movement data from single or multiple synchronized camera perspectives. The system distinguishes itself through a bottom-up approach that utilizes part-affinity fields to associate body parts across

    Refines candidate keypoint locations by discarding redundant detections to ensure precise coordinates.

    C++caffecomputer-visioncpp
    33,793View on GitHub↗
  • blakeblackshear/frigate

    blakeblackshear/frigate

    30,344View on GitHub↗

    Frigate is a self-hosted network video recorder that functions as a private, local AI-powered vision engine. It manages video streams by performing real-time object detection, tracking, and classification directly on local hardware, ensuring that security monitoring and activity recording remain independent of cloud services. The system distinguishes itself through a modular, hardware-accelerated video pipeline that offloads intensive decoding and machine learning inference to dedicated GPUs, NPUs, or specialized accelerators like Coral TPUs and Hailo modules. It utilizes state-based object t

    Sets minimum confidence thresholds to distinguish true positives from false positives.

    TypeScriptaicameragoogle-coral
    30,344View on GitHub↗