Easily pull telemetry data and create beautiful visualizations for analysis.

Related tags

Deep Learningformula1data-analysismotorsport
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.
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.

Neuraxle Pipelines Code Machine Learning Pipelines - The Right Way. Neuraxle is a Machine Learning (ML) library for building machine learning pipeline

Neuraxio 555 Dec 24, 2022
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

Jonathan Shobrook 305 Dec 21, 2022
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

null 8 Oct 10, 2022
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

Lukas Hedegaard 21 Dec 22, 2022
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

Shimoku 5 Nov 7, 2022
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

null 159 Dec 30, 2022
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,

VNOpenAI 32 Dec 21, 2022
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

Mohamed Naji Aboo 3 Apr 18, 2022
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

Dmytro North 9 Dec 24, 2022
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
GitHub Repository
Created as part of CS50 AI's coursework. This AI makes use of knowledge entailment to calculate the best probabilities to win Minesweeper.

Minesweeper-AI Created as part of CS50 AI's coursework. This AI makes use of knowledge entailment to calculate the best probabilities to win Minesweep

Beckham 0 Jul 20, 2022
Code for Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights

Piggyback: https://arxiv.org/abs/1801.06519 Pretrained masks and backbones are available here: https://uofi.box.com/s/c5kixsvtrghu9yj51yb1oe853ltdfz4q

Arun Mallya 165 Nov 22, 2022
Hub is a dataset format with a simple API for creating, storing, and collaborating on AI datasets of any size.

Hub is a dataset format with a simple API for creating, storing, and collaborating on AI datasets of any size. The hub data layout enables rapid transformations and streaming of data while training m

Activeloop 5.1k Jan 08, 2023
A supplementary code for Editable Neural Networks, an ICLR 2020 submission.

Editable neural networks A supplementary code for Editable Neural Networks, an ICLR 2020 submission by Anton Sinitsin, Vsevolod Plokhotnyuk, Dmitry Py

Anton Sinitsin 32 Nov 29, 2022
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

PointCNN: Convolution On X-Transformed Points Created by Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Xinhan Di, and Baoquan Chen. Introduction PointCNN

Yangyan Li 1.3k Dec 21, 2022
CS583: Deep Learning

CS583: Deep Learning

Shusen Wang 2.6k Dec 30, 2022
IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.

IDRLnet IDRLnet is a machine learning library on top of PyTorch. Use IDRLnet if you need a machine learning library that solves both forward and inver

IDRL 105 Dec 17, 2022
Road Crack Detection Using Deep Learning Methods

Road-Crack-Detection-Using-Deep-Learning-Methods This is my Diploma Thesis ¨Road Crack Detection Using Deep Learning Methods¨ under the supervision of

Aggelos Katsaliros 3 May 03, 2022
🧮 Matrix Factorization for Collaborative Filtering is just Solving an Adjoint Latent Dirichlet Allocation Model after All

Accompanying source code to the paper "Matrix Factorization for Collaborative Filtering is just Solving an Adjoint Latent Dirichlet Allocation Model A

Florian Wilhelm 39 Dec 03, 2022
Anomaly detection related books, papers, videos, and toolboxes

Anomaly Detection Learning Resources Outlier Detection (also known as Anomaly Detection) is an exciting yet challenging field, which aims to identify

Yue Zhao 6.7k Dec 31, 2022
Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers (arXiv2021)

Polyp-PVT by Bo Dong, Wenhai Wang, Deng-Ping Fan, Jinpeng Li, Huazhu Fu, & Ling Shao. This repo is the official implementation of "Polyp-PVT: Polyp Se

Deng-Ping Fan 102 Jan 05, 2023
The versatile ocean simulator, in pure Python, powered by JAX.

Veros is the versatile ocean simulator -- it aims to be a powerful tool that makes high-performance ocean modeling approachable and fun. Because Veros

TeamOcean 245 Dec 20, 2022
Runtime type annotations for the shape, dtype etc. of PyTorch Tensors.

torchtyping Type annotations for a tensor's shape, dtype, names, ... Turn this: def batch_outer_product(x: torch.Tensor, y: torch.Tensor) - torch.Ten

Patrick Kidger 1.2k Jan 03, 2023
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

TorchRL Disclaimer This library is not officially released yet and is subject to change. The features are available before an official release so that

Meta Research 860 Jan 07, 2023
My usage of Real-ESRGAN to upscale anime, some test and results in the test_img folder

anime upscaler My usage of Real-ESRGAN to upscale anime, I hope to use this on a proper GPU cuz doing this on CPU is completely shit 😂 , I even tried

Shangar Muhunthan 29 Jan 07, 2023
SwinIR: Image Restoration Using Swin Transformer

SwinIR: Image Restoration Using Swin Transformer This repository is the official PyTorch implementation of SwinIR: Image Restoration Using Shifted Win

Jingyun Liang 2.4k Jan 08, 2023
Code of our paper "Contrastive Object-level Pre-training with Spatial Noise Curriculum Learning"

CCOP Code of our paper Contrastive Object-level Pre-training with Spatial Noise Curriculum Learning Requirement Install OpenSelfSup Install Detectron2

Chenhongyi Yang 21 Dec 13, 2022
The official re-implementation of the Neurips 2021 paper, "Targeted Neural Dynamical Modeling".

Targeted Neural Dynamical Modeling Note: This is a re-implementation (in Tensorflow2) of the original TNDM model. We do not plan to further update the

6 Oct 05, 2022
PyTorch implementation of a collections of scalable Video Transformer Benchmarks.

PyTorch implementation of Video Transformer Benchmarks This repository is mainly built upon Pytorch and Pytorch-Lightning. We wish to maintain a colle

Xin Ma 156 Jan 08, 2023
InvTorch: memory-efficient models with invertible functions

InvTorch: Memory-Efficient Invertible Functions This module extends the functionality of torch.utils.checkpoint.checkpoint to work with invertible fun

Modar M. Alfadly 12 May 12, 2022