Diversifynd

Diversifynd is a platform that supports diversity.

• Users can check which events or organizations have a better degree of representation in term of gender or race.
• For this purpose computer vision is applied to images of these events or organizations

Deploy

Build image for demo web and REST service.

docker build . -t diversifynd/web

Build image for our custom race and gender recognition model. Based on Tensorflow/serving and project https://github.com/zZyan/race_gender_recognition

docker build . -t diversifynd/model -f Dockerfile.model

Launch race and gender recognition model

docker run -e "PORT=8501" -p 8501:8501 diversifynd/model

Launch demo web and REST service

docker run -e "PORT=8080" -p 8080:8080 diversifynd/web

And browse localhost:8080

REST API:

• /stats [POST]
  • arguments [multipart/form-data]:
    • image
    • female
    • non_white
    • total
  • return [application/json]:
    • image
    • pic_stats
    • stats
  • Example:
    • curl -F "image=@resources/img/ironhack.png" -F "female=0" -F "total=4" -F "non_white=1" https://localhost:8080/stats