Abstract: Effectively managing traffic flow is of paramount importance, particularly for emergency vehicles such as ambulances that require expedited passage through roadways. In numerous urban ...
This repo provides a clean implementation of YoloV3 in TensorFlow 2.0 using all the best practices. I have created a complete tutorial on how to train from scratch ...
Robotic vision, a cornerstone of modern robotics, enables machines to interpret and respond to their surroundings effectively. This capability is achieved through image processing and object ...
Hi-vis workwear and cute dogs have come to dominate politicians’ 2022 Australian federal election campaign photos, but giant cheques are out of fashion The novelty cheque has long been a mainstay of ...
Abstract: Aiming to improve the efficiency, security, and reliability of the LDAR program, the following Python programmed platform was designed and implemented. This program uses a modular design, ...
YOLOv4, YOLOv4-tiny Implemented in Tensorflow 2.0. Convert YOLO v4, YOLOv3, YOLO tiny .weights to .pb, .tflite and trt format for tensorflow, tensorflow lite ...
Shock is one of the major killers in intensive care units, and early interventions can potentially reverse it. In this study, we advance a noncontact thermal imaging modality for continuous monitoring ...
YOLO, meaning 'You Only Look Once', is a popular model for real-time object detection. The YOLO algorithm divides images into a grid, with each cell responsible for detecting objects. YOLOv1, ...
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