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Identification of tied and untied reinforcement rebar using Tiny-YOLO algorithm as part of UOWD Thesis (Super: Dr. Watfa)

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realexbyk/RebarStateModel

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RebarStateModel

Tiny-YOLO algrithm trained on images of rebar for utilization on low performance equipment or CPU.

Prerequisite:

Microsoft Visual Studio 2015 or 2017 | Python 3.6 | Tensorflow 1.09 GPU | CUDNN 9.1 | Open CV

Hardware: Web Cam, any CPU, GPU (Any NVidia including mobile, and mx ranges)

Livetrack.py loads the algorithm from cfg folder, and weights from ckpt folder, captures frame from web cam via Open CV. image image

Screenshot from the WebCam

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Performance Analysis (nVidia M850 GPU)

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Identification of tied and untied reinforcement rebar using Tiny-YOLO algorithm as part of UOWD Thesis (Super: Dr. Watfa)

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