Initial commit

.dockerignore

@@ -0,0 +1,5 @@
+data
+train
+Dockerfile
+README.md
+LICENSE

.travis.yml

@@ -0,0 +1,11 @@
+dist: trusty
+
+language: generic
+
+services:
+  - docker
+
+install:
+  - docker build -t mushroom-classifier .
+  - docker run -d -p 5000:5000 mushroom-classifier
+  - docker ps -a

Dockerfile

@@ -0,0 +1,16 @@
+FROM python:3.7-slim-stretch
+
+RUN apt-get update && apt-get install -y git python3-dev gcc \
+    && rm -rf /var/lib/apt/lists/*
+
+COPY requirements.txt .
+
+RUN pip install --upgrade -r requirements.txt
+
+COPY app app/
+
+RUN python app/server.py
+
+EXPOSE 5000
+
+CMD ["python", "app/server.py", "serve"]

LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2019 zenoxygen
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

@@ -0,0 +1,36 @@
+<p align="center"><img width=75% alt="" src="app/static/img/manita.png"></a></p>
+
+# manita
+
+[![Build Status](https://travis-ci.com/zenoxygen/manita.svg?branch=master)](https://travis-ci.com/zenoxygen/manita)
+[![License: MIT](https://img.shields.io/badge/license-MIT-blue.svg)](LICENSE)
+
+Mushroom identification using deep learning.
+
+## About
+
+Manita is a web application that helps to identify mushrooms from pictures.
+
+1. Upload a mushroom image
+2. Start the analysis process
+3. Get more information about the prediction
+
+## Installation
+
+You can build, run and test locally by installing Docker and using the following command:
+
+```
+docker build -t manita . && docker run --rm -it -p 5000:5000 manita
+```
+
+## Training
+
+You can train your own model on [Google Colab](https://colab.research.google.com) using the script provided in the `train` folder.
+
+## Contribution
+
+Your contribution will always be welcome.
+
+## License
+
+Manita is licensed under the [MIT License](LICENSE).