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Lab1

This repository contains the lab for the course "Fundamentals of Computer Vision with Deep Learning".

In this lab we will go through some basic concepts of CV, like color spaces and image filtering.

In order to do the lab, go to the file "Lab1_Color_and_Convolutions.ipynb" in this github repository and click on the "Open in Colab" bar to execute all the code in Google Colab.

If you want to execute this code in your own computer instead of in Google Colab, we recommend to install Anaconda (both for this lab and for the following ones) and install the packages needed for this lab. Matplotlib, Numpy, OpenCV and Jupyter Notebook.

In order to submit the answers from the lab, go to "runtime" -> "restart and run all", download the jupyter notebook by going to File -> download -> download .ipynb and submit the file to blackboard

Credits

Joseph Redmon at Washington University

https://cvexplained.wordpress.com/

Michael Plotke

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Copy of Computer Vision course by halmstad

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