Abstract: This Scripts enables to track workers in 3-D space with just a RGB Camera Feed and floor plans of the monitored area.
Steps to run:
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clone the official YoloV7 official repo pip install requirements.txt file
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Replace the detect and train files in the Yolov7 original repo. Run inference by using trained weights on your frames to identify workers and output their frame-frame feet positions.
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Run updatedpixel2world, reading in frame-frame feet potions and pick hazard and worksite boundary points from Floorplans. This Outputs individual construction site map frames stored in project images directory.
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Load project images into VideoGenerator.py to stitch the images into output video. a. Output Video stored as MAPS.mp4
