Image Classification API for Data Selfie
This is the code for the image classification API that is used by Data Selfie. Its main components are Yolo and Darknet, used via the pyyolo-wrapper for image classification and Gunicorn for reliable server functionality.
Build it yourself
Download weight file
For Data Selfie, we are using weights from the makers of Darknet as described on this page.
Download this repo
Finally, clone this repo with
git clone firstname.lastname@example.org:d4t4x/data-selfie-image-classification.git
The folder structure should look like this:
. ├── data-selfie-image-classification │ ├── ... ├── pyyolo │ ├── ... └── weights └── yolo.weights
A few more dependencies
Before running the server, we need to install pillow, flask, request, numpy
pip install pillow flask request numpy
and gunicorn, greenlet and gevent
pip install gunicorn greenlet gevent
Run the API
For Data Selfie we run the API like this, from the directory of this repo:
gunicorn --workers=2 --bind=0.0.0.0:8888 -t 100 -k gevent wsgi
Good luck! File a issue in this repo, contact us or Leon Eckert if you have any questions.