deeplearning-computervision-book's Introduction

Deep Learning for Computer Vision's Practice

Description:

Code examples from Adrian Rosebrock's Deep Learning for Computer Vision with Python.

Link to download

Copyright:

@book{rosebrock_dl4cv,
  author={Rosebrock, Adrian},
  title={Deep Learning for Computer Vision with Python},
  year={2019},
  edition={3.0.0},
  publisher={PyImageSearch.com}
}

##Considerations: It's important to say that all codes in this repo are inspired/a copy from the examples in the book and that I shouldn't take credit for any of it.

NOTE: The main goal of this repository is to be a guide and exemplify my knoledge throughout the world of Deep Learning and Computer Vision, working as baseline.

Requirements:

Docker
Animals dataset - you can download it here

NOTE: After downloading the dataset move the Animals dir into the datasets dir.

Quickstart;

Run the docker_run.sh file using the path to the python file as parameter as bellow: $ docker_run.sh PATH/TO/MY/PYTHON/file.py

NOTE: If this is the first time you run the docker_run.sh file and you haven't already pulled the diogo364/dl4cv:1.0 image from my DockerHub it will automatically pull the image and might take a while.

You will be asked to enter all CLI parameters for the python script you are running as shown bellow:

...
> [INSTRUCTION] Enter parameters CLI parameters, else press enter!
> [TIP] If you don't know about CLI parameters type -h or --help
$ -d CLI-PARAMETER1 -e CLI-PARAMETER2