{\rtf1\ansi\deff0\nouicompat{\fonttbl{\f0\fnil\fcharset0 Calibri;}} {\colortbl ;\red0\green0\blue255;} {\*\generator Riched20 10.0.17134}\viewkind4\uc1 \pard\sa200\sl276\slmult1\f0\fs22\lang9 \par ReadmeQt\par \par \par \par \par \par \par \par \par \par ![]({{\field{\*\fldinst{HYPERLINK https://user-images.githubusercontent.com/13696193/43165867-fe02e3b2-8f62-11e8-9fd0-cc7c86b11772.png }}{\fldrslt{https://user-images.githubusercontent.com/13696193/43165867-fe02e3b2-8f62-11e8-9fd0-cc7c86b11772.png\ul0\cf0}}}}\f0\fs22 )\par \par \par \par \par \par # PySimpleGUI openCV YOLO Deep Learning\par \par ## Running the Demos\par \par You will need to pip install openCV and PySimpleGUI\par ```\par pip install opencv-python\par pip install pysimplegui\par ```\par \par Run any of the .py files in the top level directory:\par ```\par yolo.py - single image processing\par yolo_video.py Video display\par yolo_video_with_webcam.py - webcam or file source. Option to write to hard drive\par ```\par And you'll need the training data. It's 242 MB and too large for GitHub:\par {{\field{\*\fldinst{HYPERLINK https://www.dropbox.com/s/0pq7le6fwtbarkc/yolov3.weights?dl=1 }}{\fldrslt{https://www.dropbox.com/s/0pq7le6fwtbarkc/yolov3.weights?dl=1\ul0\cf0}}}}\f0\fs22\par \par \par ## Acknowledgements\par This software is provided by Dr. Adrian Rosebrock of the pyimagesearch organization.\par {{\field{\*\fldinst{HYPERLINK https://www.pyimagesearch.com }}{\fldrslt{https://www.pyimagesearch.com\ul0\cf0}}}}\f0\fs22\par \par }