- Dom McDonnell @dmcd84
- Lubos Michalic @lubosmichalic
- Panteha Ahmadi @panteha
- Alex Satur @alexanders89
A web app to detect objects within an image. It displays and reads back the contents to the user.
- Next step: Create an app to aid visually impaired users to receive an audio description of what is in front of the camera.
Python 2.7.9+
Tensorflow Object Detection API depends on the following libraries:
- Protobuf 2.6
- Pillow 1.0
- lxml
- tf Slim (which is included in the "tensorflow/models" checkout)
- Jupyter notebook
- Matplotlib
- Tensorflow
For detailed steps to install Tensorflow, follow the Tensorflow installation instructions. A typical user can install Tensorflow using one of the following commands:
$ pip install tensorflow
# Clone this repository
$ git clone git@github.com:lubosmichalic/showNtell.git
$ git submodule init
$ git submodule update
# Go into the repository
$ cd showNtell
# Install dependencies
$ pip install tenserflow
$ pip install virtualenv
# Run the app
$ export FLASK_APP=app.py
$ flask run