Easily pull telemetry data and create beautiful visualizations for analysis.

Overview

  This repository is a work in progress. Anything and everything is subject to change.

Porpo


Table of Contents


General Information

Porpo is a python application that utilizes the FastF1 package to easily pull specific data and generate visualizations for analysis.

Note: Python3 (v.3.8 or greater) is required.

Getting Started

Currently, there is not a simple way to run the program. However, getting it up and running is very easy, regardless of platform.

Install Dependencies:

pip3 install fastf1
pip3 install PySimpleGUI

There are 2 methods of execution:

/scripts/gui.py to begin using the application with a GUI. (Recommended)

/scripts/main.py to begin using the application in CLI.

Usage

Porpo allows you to individually set all the variables for evaluation.

You start by selecting the year the Grand Prix took place.

Then select the Grand Prix you want.

Then select the session from the Grand Prix.

Note: No GP has all sessions.

Next, select the driver you'd like to evaluate.

Now decide if you're going to evaluate the full session, or a specific lap, or easily select the fastest lap set by your chosen driver.

Check the FastF1 documentation to see everything that is available for each option.

The last step is to select which variables you want displayed on the axes (X and Y).

Be aware that although you can select any available data as either variable, some combinations may not perform as expected - or at all.

The plot will show up in a new window, and automatically save to your export directory when the graph is closed.

If you're unsure where your export directory is, the default is:

~/Documents/F1 Data Analysis/Export/

 

To change this directory, edit the save_path variable in scripts/gui.py

  save_path = '~/Documents/F1 Data Analysis/Export/'

Specific Lap

You can easily pull and visualize data for a single lap of a session.

VER_SpeedL_Bah

Max Verstappen speed on Lap 54 of the 2022 Bahrain GP. We can see he was losing power throughout the lap, up until the moment he completely lost power, and went into the pitlane.

Fastest Lap

By default, you can quickly do analysis of the fastest lap set by the selected driver during a session.

VER_SpeedF_Bah

Max Verstappen speed on the fastest lap he set in 2022 Bahrain GP. We can the difference between this lap and lap 54, when he retired.

Session

You can also quickly do an analysis of a driver's performance through an entire session.

VER_SpeedF_Bah

Max Verstappen laptime over the course of the Imola GP. We can see as the track began to dry, laptimes began to fall very quickly.
You might also like...
A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily. sequitur is a library that lets you create and train an autoencoder for sequential data in just two lines of code
sequitur is a library that lets you create and train an autoencoder for sequential data in just two lines of code

sequitur sequitur is a library that lets you create and train an autoencoder for sequential data in just two lines of code. It implements three differ

A project which aims to protect your privacy using inexpensive hardware and easily modifiable software
A project which aims to protect your privacy using inexpensive hardware and easily modifiable software

Protecting your privacy using an ESP32, an IR sensor and a python script This project, which I personally call the "never-gonna-catch-me-in-the-act-ev

Easily benchmark PyTorch model FLOPs, latency, throughput, max allocated memory and energy consumption

⏱ pytorch-benchmark Easily benchmark model inference FLOPs, latency, throughput, max allocated memory and energy consumption Install pip install pytor

Create Data & AI apps in 20 lines of code with Shimoku

Install with: pip install shimoku-api-python Start with: from os import getenv import shimoku_api_python.client as Shimoku

IPATool-py: download ipa easily

IPATool-py Python version of IPATool! Installation pip3 install -r requirements.txt Usage Quickstart: download app with specific bundleId into DIR: p

Tracking Pipeline helps you to solve the tracking problem more easily
Tracking Pipeline helps you to solve the tracking problem more easily

Tracking_Pipeline Tracking_Pipeline helps you to solve the tracking problem more easily I integrate detection algorithms like: Yolov5, Yolov4, YoloX,

This application explain how we can easily integrate Deepface framework with Python Django application

deepface_suite This application explain how we can easily integrate Deepface framework with Python Django application install redis cache install requ

A Python script that creates subtitles of a given length from text paragraphs that can be easily imported into any Video Editing software such as FinalCut Pro for further adjustments.
A Python script that creates subtitles of a given length from text paragraphs that can be easily imported into any Video Editing software such as FinalCut Pro for further adjustments.

Text to Subtitles - Python This python file creates subtitles of a given length from text paragraphs that can be easily imported into any Video Editin

Comments
  • UnboundLocalError: local variable 'self' referenced before assignment

    UnboundLocalError: local variable 'self' referenced before assignment

    Gets a error code. How can i look at the exported data? Only thing i find under the exported track is filenames that ends with .ff1pkl Example: cardata.ff1pkl, driverinfo.ff1pkl And the error code is: UnboundLocalError: local variable 'self' referenced before assignment

    opened by jeveli 12
  • Cache directory does not exist

    Cache directory does not exist

    This is what I'm getting.

    C:\Users\james\Desktop\GitHub\porpo\scripts>python gui.py Traceback (most recent call last): File "C:\Users\james\Desktop\GitHub\porpo\scripts\gui.py", line 9, in class Dirs(): File "C:\Users\james\Desktop\GitHub\porpo\scripts\gui.py", line 28, in Dirs fastf1.Cache.enable_cache(cache_path) File "C:\Users\james\AppData\Local\Programs\Python\Python310\lib\site-packages\fastf1\api.py", line 133, in enable_cache raise NotADirectoryError("Cache directory does not exist! Please check for typos or create it first.") NotADirectoryError: Cache directory does not exist! Please check for typos or create it first.

    C:\Users\james\Desktop\GitHub\porpo\scripts>python main.py Traceback (most recent call last): File "C:\Users\james\Desktop\GitHub\porpo\scripts\main.py", line 8, in fastf1.Cache.enable_cache('venv/F1/Cache/') File "C:\Users\james\AppData\Local\Programs\Python\Python310\lib\site-packages\fastf1\api.py", line 133, in enable_cache raise NotADirectoryError("Cache directory does not exist! Please check for typos or create it first.") NotADirectoryError: Cache directory does not exist! Please check for typos or create it first.

    opened by DrMurgz 1
Releases(v1.4.2-beta.stable)
  • v1.4.2-beta.stable(Jul 28, 2022)

  • v1.4.1-beta.stable(Jul 27, 2022)

  • v1.4.0-beta.stable(Jul 27, 2022)

    What's Changed

    • fixed cache error by @dawesry in https://github.com/dawesry/porpo/pull/26
    • fixed driver spec lap error by @dawesry in https://github.com/dawesry/porpo/pull/27
    • fixed export error by @dawesry in #29

    Full Changelog: https://github.com/dawesry/porpo/compare/v1.3.0-beta.stable...v1.4.0-beta.stable

    Source code(tar.gz)
    Source code(zip)
  • v2.3.0-alpha.nightly(May 24, 2022)

    What's Changed

    • Nightly by @dtech-auto in https://github.com/dtech-auto/porpo/pull/23
    • fixed single driver full session error by @dtech-auto in https://github.com/dtech-auto/porpo/pull/24
    • stability update by @dtech-auto in https://github.com/dtech-auto/porpo/pull/25

    Full Changelog: https://github.com/dtech-auto/porpo/compare/v1.2.2-beta.stable...v2.3.0-alpha.nightly

    Source code(tar.gz)
    Source code(zip)
  • v1.3.0-beta.stable(May 24, 2022)

    What's Changed

    • Nightly by @dtech-auto in https://github.com/dtech-auto/porpo/pull/23
    • fixed single driver full session error by @dtech-auto in https://github.com/dtech-auto/porpo/pull/24
    • stability update by @dtech-auto in https://github.com/dtech-auto/porpo/pull/25

    Full Changelog: https://github.com/dtech-auto/porpo/compare/v1.2.2-beta.stable...v1.3.0-beta.stable

    Source code(tar.gz)
    Source code(zip)
  • v2.2.1-alpha.nightly(May 23, 2022)

    What's Changed

    • Fixed single driver plot error by @dtech-auto

    Full Changelog: https://github.com/dtech-auto/porpo/compare/v2.2.0-alpha.nightly...v2.2.1-alpha.nightly

    Source code(tar.gz)
    Source code(zip)
  • v2.2.0-alpha.nightly(May 23, 2022)

    What's Changed

    • drivercomp working - fastest only by @dtech-auto in https://github.com/dtech-auto/porpo/pull/19

    Full Changelog: https://github.com/dtech-auto/porpo/compare/v2.1.2-alpha.nightly...v2.2.0-alpha.nightly

    Source code(tar.gz)
    Source code(zip)
  • v2.1.2-alpha.nightly(May 23, 2022)

    Added compare - non functioning

    What's Changed

    • update README.md by @dtech-auto in https://github.com/dtech-auto/porpo/pull/15
    • Update gui.py by @dtech-auto in https://github.com/dtech-auto/porpo/pull/18

    Full Changelog: https://github.com/dtech-auto/porpo/compare/v1.0.2-beta.stable...v2.1.2-alpha.nightly

    Source code(tar.gz)
    Source code(zip)
  • v1.2.2-beta.stable(May 23, 2022)

    What's Changed

    GUI Updates

    • GUI Stability Updates by @dtech-auto in https://github.com/dtech-auto/porpo/pull/16

    New Features

    • NEW! Compare every driver, or a custom few, using the new Driver Compare feature! by @dtech-auto in https://github.com/dtech-auto/porpo/pull/21

    Bug Fixes

    • General bug fixes by @dtech-auto in https://github.com/dtech-auto/porpo/pull/22

    Full Changelog: https://github.com/dtech-auto/porpo/compare/v2.2.1-alpha.nightly...v1.2.2-beta.stable

    Source code(tar.gz)
    Source code(zip)
  • v1.1.0-beta.stable(May 21, 2022)

    What's Changed

    • update README.md by @dtech-auto in https://github.com/dtech-auto/porpo/pull/15
    • update gui --STABLE by @dtech-auto in https://github.com/dtech-auto/porpo/pull/16

    Full Changelog: https://github.com/dtech-auto/porpo/compare/v1.1.2-alpha.stable...v1.1.0-beta.stable

    Source code(tar.gz)
    Source code(zip)
  • v1.0.2-beta.stable(May 21, 2022)

    What's Changed

    • Nightly by @dtech-auto in https://github.com/dtech-auto/porpo/pull/10
    • Nightly by @dtech-auto in https://github.com/dtech-auto/porpo/pull/13
    • fixed issue #11 by @dtech-auto in https://github.com/dtech-auto/porpo/pull/14

    Full Changelog: https://github.com/dtech-auto/porpo/compare/v2.1.1-alpha.nightly...v1.1.2-alpha.stable

    Source code(tar.gz)
    Source code(zip)
  • v2.1.1-alpha.nightly(May 20, 2022)

    What's Changed

    • updated directory by @dtech-auto in https://github.com/dtech-auto/porpo/pull/6

    Full Changelog: https://github.com/dtech-auto/porpo/compare/v2.1.0-alpha.nightly...v2.1.1-alpha.nightly

    Source code(tar.gz)
    Source code(zip)
  • v2.1.0-alpha.nightly(May 20, 2022)

  • v2.0.0-alpha.nightly(May 20, 2022)

  • v1.0.1-beta.stable(May 20, 2022)

  • v1.0.0-beta.stable(May 20, 2022)

  • v1.1.0-alpha.stable(May 19, 2022)

  • v1.1.0-alpha.nightly(May 19, 2022)

  • v1.0.0-alpha.nightly(May 18, 2022)

    What's Changed

    • Nightly by @dtech-auto in https://github.com/dtech-auto/porpo/pull/5

    Full Changelog: https://github.com/dtech-auto/porpo/compare/v1.0.0-alpha...v1.0.0-alpha.nightly

    Source code(tar.gz)
    Source code(zip)
  • v1.0.0-alpha(May 17, 2022)

    What's Changed

    • Directory cleaning by @dtech-auto in https://github.com/dtech-auto/F1DataAnalysis/pull/3
    • Nightly by @dtech-auto in https://github.com/dtech-auto/F1DataAnalysis/pull/4

    New Contributors

    • @dtech-auto made their first contribution in https://github.com/dtech-auto/F1DataAnalysis/pull/3

    Full Changelog: https://github.com/dtech-auto/F1DataAnalysis/commits/v1.0.0-alpha

    Source code(tar.gz)
    Source code(zip)
Owner
Ryan Dawes
Ryan Dawes
Deep universal probabilistic programming with Python and PyTorch

Getting Started | Documentation | Community | Contributing Pyro is a flexible, scalable deep probabilistic programming library built on PyTorch. Notab

7.7k Dec 30, 2022
Official and maintained implementation of the paper "OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data" [BMVC 2021].

OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data Christoph Reich, Tim Prangemeier, Özdemir Cetin & Heinz Koeppl | Pr

Christoph Reich 23 Sep 21, 2022
multimodal transformer

This repo holds the code to perform experiments with the multimodal autoregressive probabilistic model Transflower. Overview of the repo It is structu

Guillermo Valle 68 Dec 13, 2022
A small demonstration of using WebDataset with ImageNet and PyTorch Lightning

A small demonstration of using WebDataset with ImageNet and PyTorch Lightning This is a small repo illustrating how to use WebDataset on ImageNet. usi

50 Dec 16, 2022
PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io

PyStan NOTE: This documentation describes a BETA release of PyStan 3. PyStan is a Python interface to Stan, a package for Bayesian inference. Stan® is

Stan 229 Dec 29, 2022
Codes for [NeurIPS'21] You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership.

You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership Codes for [NeurIPS'21] You are caught stealing my winni

VITA 8 Nov 01, 2022
Pytorch-Swin-Unet-V2 - a modified version of Swin Unet based on Swin Transfomer V2

Swin Unet V2 Swin Unet V2 is a modified version of Swin Unet arxiv based on Swin

Chenxu Peng 26 Dec 03, 2022
50-days-of-Statistics-for-Data-Science - This repository consist of a 50-day program

50-days-of-Statistics-for-Data-Science - This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded in this repository.

komal_lamba 22 Dec 09, 2022
An implementation of Deep Graph Infomax (DGI) in PyTorch

DGI Deep Graph Infomax (Veličković et al., ICLR 2019): https://arxiv.org/abs/1809.10341 Overview Here we provide an implementation of Deep Graph Infom

Petar Veličković 491 Jan 03, 2023
Official PyTorch Code of GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection (CVPR 2021)

GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Mo

Abhinav Kumar 76 Jan 02, 2023
This folder contains the python code of UR5E's advanced forward kinematics model.

This folder contains the python code of UR5E's advanced forward kinematics model. By entering the angle of the joint of UR5e, the detailed coordinates of up to 48 points around the robot arm can be c

Qiang Wang 4 Sep 17, 2022
这是一个unet-pytorch的源码,可以训练自己的模型

Unet:U-Net: Convolutional Networks for Biomedical Image Segmentation目标检测模型在Pytorch当中的实现 目录 性能情况 Performance 所需环境 Environment 注意事项 Attention 文件下载 Downl

Bubbliiiing 567 Jan 05, 2023
Official PyTorch implementation of Joint Object Detection and Multi-Object Tracking with Graph Neural Networks

This is the official PyTorch implementation of our paper: "Joint Object Detection and Multi-Object Tracking with Graph Neural Networks". Our project website and video demos are here.

Richard Wang 443 Dec 06, 2022
This is an official implementation for "ResT: An Efficient Transformer for Visual Recognition".

ResT By Qing-Long Zhang and Yu-Bin Yang [State Key Laboratory for Novel Software Technology at Nanjing University] This repo is the official implement

zhql 222 Dec 13, 2022
Super Resolution for images using deep learning.

Neural Enhance Example #1 — Old Station: view comparison in 24-bit HD, original photo CC-BY-SA @siv-athens. As seen on TV! What if you could increase

Alex J. Champandard 11.7k Dec 29, 2022
Efficient 3D human pose estimation in video using 2D keypoint trajectories

3D human pose estimation in video with temporal convolutions and semi-supervised training This is the implementation of the approach described in the

Meta Research 3.1k Dec 29, 2022
PINN(s): Physics-Informed Neural Network(s) for von Karman vortex street

PINN(s): Physics-Informed Neural Network(s) for von Karman vortex street This is

ShotaDEGUCHI 2 Apr 18, 2022
Joint Detection and Identification Feature Learning for Person Search

Person Search Project This repository hosts the code for our paper Joint Detection and Identification Feature Learning for Person Search. The code is

712 Dec 17, 2022
Efficient semidefinite bounds for multi-label discrete graphical models.

Low rank solvers #################################### benchmark/ : folder with the random instances used in the paper. ############################

1 Dec 08, 2022
Image restoration with neural networks but without learning.

Warning! The optimization may not converge on some GPUs. We've personally experienced issues on Tesla V100 and P40 GPUs. When running the code, make s

Dmitry Ulyanov 7.4k Jan 01, 2023