elbarto's Introduction

Face/Object Recognition

Steps:

$ git clone [email protected]:Dilan/elbarto.git ~/projects/elbarto
$ cd ~/projects/elbarto
$ docker pull hackerloft/opencv:v1.0
$ docker run -d --name elbarto -p 8888:8888 -v ~/projects/elbarto/face-recognition:/home hackerloft/opencv:v1.0
$ docker exec -it elbarto python /home/get_faces.py /home/test-data/test_Diana_Vera.jpg /home/output/

Docker

Build image

$ docker build -t opencv:v1.0 .

... or just pull it from hub.docker.com

docker pull hackerloft/opencv:v1.0

Run image and share some volume to make possible to store changes in your local machine

$ docker run -d --name elbarto -p 8888:8888 -v ~/projects/elbarto/face-recognition:/home hackerloft/opencv:v1.0

Fetch Jupyter's token

$ docker logs elbarto

... it will be something like this:

The Jupyter Notebook is running at:
http://0.0.0.0:8888/?token=679cd547537772e8f7723999db152bdb7c30169d71c1e159

In case you want to jump inside container:

$ docker exec -it elbarto bash

Convert notebook to script

# (inside container)
$ jupyter nbconvert --to script /home/DetectFace.ipynb --stdout > /home/DetectFace.py
# (outside container)
$ docker exec -it elbarto jupyter nbconvert --to script /home/DetectFace.ipynb

Find faces and save to "output" folder

$ docker exec -it elbarto python /home/get_faces.py /home/test-data/test_Diana_Vera.jpg /home/output/

Useful Links

https://github.com/caesar0301/awesome-public-datasets

https://www.pyimagesearch.com/

https://github.com/informramiz/Fully-Convolutional-Networks/blob/master/CarND-Object-Detection-Lab.ipynb

https://blog.openai.com/universe/

# pandas
https://bitbucket.org/hrojas/learn-pandas

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