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Neural Network Performance Analysis

Project description

Neural Network Performance Analysis

The original version of the NN Stat project was created by Waleed Khalid at the Computer Vision Laboratory, University of Würzburg, Germany.

Overview 📖

Automated conversion of LEMUR data into Excel format with statistical visualizations. It is developed to support the NN Dataset and NN Gen projects.

Installation with the LEMUR Dataset

source .venv/bin/activate
pip install nn-stat[dataset]

Usage

source .venv/bin/activate
python -m ab.stat.export

Data and statistics are stored in the stat directory in Excel files and PNG/SVG plots.

Update of NN Dataset

Remove old version of the LEMUR Dataset and its database:

source .venv/bin/activate
pip uninstall nn-dataset -y
rm -rf db

Installing the stable version:

source .venv/bin/activate
pip install nn-dataset --upgrade --extra-index-url https://download.pytorch.org/whl/cu124

Install from GitHub to get the most recent code and statistics updates:

source .venv/bin/activate
pip install git+https://github.com/ABrain-One/nn-dataset --upgrade --force --extra-index-url https://download.pytorch.org/whl/cu124

Environment for NN Stat Contributors

Pip package manager

Create a virtual environment, activate it, and run the following command to install all the project dependencies:

source .venv/bin/activate
python -m pip install --upgrade pip
pip install -r requirements.txt --extra-index-url https://download.pytorch.org/whl/cu124

Docker

All versions of this project are compatible with AI Linux and can be run inside a Docker image:

docker run -v /a/mm:. abrainone/ai-linux bash -c "PYTHONPATH=/a/mm python -m ab.stat.export"

The idea of Dr. Dmitry Ignatov

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