Project code for Udacity's AI Programming with Python Nanodegree program. In this project, students first develop code for an image classifier built with PyTorch, then convert it into a command line application.
Build the image using the following command
$ docker build -t flower-image-classifier:latest .
Run the Docker container using the command shown below.
$ docker run -p 80:80 flower-image-classifier
The application will be accessible at http://localhost or if you are using boot2docker then first find ip address using $ boot2docker ip
and the use the ip http://<host_ip>
- Docker container hangs when executing
model.forward
. PyTorch (CPU) issue? - HTTPS support