sai-adarsh/solid-waste-segregation

Solid waste segregation boilerplate using TensorFlow and OpenCV.

Solid Waste Segregation

This competition was known to be possibly "The Biggest AI Hackathon in India in terms of the number of Participants" (as of August 2018). We made a Solid Waste Segregating Image Processing Model powered by Convolutional Neural Networks embedded with Raspberry Pi and its Add-ons. TensorFlow, OpenCV, Amazon Web Services, Django Framework, Google Firebase, and Raspberry Pi were the technologies we used for this model.

Getting Started

Run:

$ git clone https://github.com/Sai-Adarsh/solid-waste-segregation.git

$ cd solid-waste-segregation

$ pip install -r requirements.txt

Open and replace the project path with the respective path inside the below mentioned files:

project\catvsdog\predictor\predict.py

tutorial-2-image-classifier\predict.py

tutorial-2-image-classifier\train.py

Activate virtualenv

   # Linux
   $ source ./venv/bin/activate

   # Windows
   $ cd venv/Scripts/

   $ activate

Train/Test

Place your thermal dataset in the training_data and testing_data folders.

$ cd solid-waste-segregation

$ python train.py

Predict

$ cd solid-waste-segregation

$ python predict.py sample.jpg (any extension works)

Run web app:

$ cd project\catvsdog

$ python manage.py runserver