Machine Learning Visualization Tool

About / Synopsis

• It is simple project for visualization binary CNN classification

Table of contents

• Machine Learning Visualization Tool
  • About / Synopsis
  • Table of contents
  • Installation
  • Usage
  • Features
  • Screenshots

Installation

• Server requires python3.6+
• Install pipenv

pip install pipenv

• Go to project main directory
• Install all dependencies via Pipfile.lock

pipenv install --ignore-pipfile

• pipenv will automatically create virtualenv for your project

In order to run the application you have to create configuration file (config.yml) and save it under config directory.

• It contains paths where your dataset images are stored
  • raw paths are the paths on the system from where server should copy images to transformed paths

Usage

• go to project main directory
• set PYTHONPATH

# for Linux users
export PYTHONPATH=.

# for Windows (Powershell) users
$env:PYTHONPATH = "."

• start the server

python ./mlvt/server/run.py

• in your web browser go to localhost:5000/home
• you can also check the API via Swagger UI at localhost:5000/ui

Features

• Provides convinient way to label your unlabelled images
• Observe your model training process with live updating accuracy and loss plots
• You can switch between datasets without restarting the server
• Test your image - you can test model against your own image

Screenshots

Set labels to unlabelled images

Observe training process

Test your model