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yolox-models

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EdgeInfer evaluation build for Windows x64: real-time machine vision on a normal CPU (ONNX Runtime + Intel OpenVINO, no GPU required). Dual-slot YOLOX pipeline; ~6–7 ms ROI on i5-11400. Non-commercial — testing, students, and scientific research only (see LICENSE). Looking for [infer] timings on other CPUs and feedback from global-shutter USB cam

  • Updated Sep 14, 2026

Research mainly focuses on developing circuits identifying algorithms that produce swift recognitions for industrial applications. This is done by feeding the bounding box prompt conducted by YOLOX to initiate interactive training on SAM2. Its improvement over SAM and SlimSAM will be recorded and analyzed.

  • Updated Aug 19, 2024
  • Jupyter Notebook

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