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A PyTorch implementation of Spiking-YOLOv3. Two branches are provided, based on two common PyTorch implementation of YOLOv3(ultralytics/yolov3 & eriklindernoren/PyTorch-YOLOv3), with support for Spiking-YOLOv3-Tiny at present.
Empower your computer vision projects with YOLO-based tools. "Cam Read.py" for live webcam detection, "Image Read.py" for image analysis, and "Video Read.py" for dynamic video processing. Achieve precise object detection using Ultralytics and OpenCV in this versatile toolkit.
a full system used to control and manage electrical devices using the Raspberry PI microprocessor to save wasted energy in classrooms. This can be achieved through the features provided by this system like automating the process of lighting and ventilation based on students' locations, manually controlling devices and specifying schedule of work
Protection Equipment Detection, Car counter and People counter. As the name suggests, we are counting the cars and people from two video sources respectively. And detecting the equipment in the video