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Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core

  • Updated Dec 6, 2021
  • Jupyter Notebook

This repository illustrates the steps for training YOLOv3 and YOLOv3-tiny to detect fire in images and videos. First, a fire dataset of labeled images is collected from the internet. The images with their annotations have been prepared and converted into YOLO format and put into one folder to gather all the data. Therefore, the data folder contains images ('*jpg') and their associated annotations files ('.txt') with the same name.

  • Updated Jan 2, 2020
  • C
Intelligent-Traffic-Management-System-using-Machine-Learning
ashwxn
ashwxn commented Mar 11, 2021
  • Please check out the unnecessary files and clear the clutter out
  • You can even put them out in a seperate folder.
  • Try working with the system in various different scenarios.
  • Since the final review is coming soon, make few tweaks so that the code looks neat and tidy.
help wanted good first issue

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