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
This repository compare a selfie with images from identity documents and response if the selfie match.

aws-rekognition-facecompare This repository compare a selfie with images from identity documents and response if the selfie match. This code was made

1 Jan 27, 2022
Video Corpus Moment Retrieval with Contrastive Learning (SIGIR 2021)

Video Corpus Moment Retrieval with Contrastive Learning PyTorch implementation for the paper "Video Corpus Moment Retrieval with Contrastive Learning"

ZHANG HAO 42 Dec 29, 2022
Learning Continuous Image Representation with Local Implicit Image Function

LIIF This repository contains the official implementation for LIIF introduced in the following paper: Learning Continuous Image Representation with Lo

Yinbo Chen 1k Dec 25, 2022
Repository for "Space-Time Correspondence as a Contrastive Random Walk" (NeurIPS 2020)

Space-Time Correspondence as a Contrastive Random Walk This is the repository for Space-Time Correspondence as a Contrastive Random Walk, published at

A. Jabri 239 Dec 27, 2022
Streamlit Tutorial (ex: stock price dashboard, cartoon-stylegan, vqgan-clip, stylemixing, styleclip, sefa)

Streamlit Tutorials Install pip install streamlit Run cd [directory] streamlit run app.py --server.address 0.0.0.0 --server.port [your port] # http:/

Jihye Back 30 Jan 06, 2023
CS5242_2021 - Neural Networks and Deep Learning, NUS CS5242, 2021

CS5242_2021 Neural Networks and Deep Learning, NUS CS5242, 2021 Cloud Machine #1 : Google Colab (Free GPU) Follow this Notebook installation : https:/

Xavier Bresson 165 Oct 25, 2022
A deep learning model for style-specific music generation.

DeepJ: A model for style-specific music generation https://arxiv.org/abs/1801.00887 Abstract Recent advances in deep neural networks have enabled algo

Henry Mao 704 Nov 23, 2022
Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression

Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression YOLOv5 with alpha-IoU losses implemented in PyTorch. Example r

Jacobi(Jiabo He) 147 Dec 05, 2022
Spatially-Adaptive Pixelwise Networks for Fast Image Translation, CVPR 2021

Image Translation with ASAPNets Spatially-Adaptive Pixelwise Networks for Fast Image Translation, CVPR 2021 Webpage | Paper | Video Installation insta

Tamar Rott Shaham 100 Dec 28, 2022
Implementation of "A Deep Learning Loss Function based on Auditory Power Compression for Speech Enhancement" by pytorch

This repository is used to suspend the results of our paper "A Deep Learning Loss Function based on Auditory Power Compression for Speech Enhancement"

ScorpioMiku 19 Sep 30, 2022
Fast image augmentation library and an easy-to-use wrapper around other libraries

Albumentations Albumentations is a Python library for image augmentation. Image augmentation is used in deep learning and computer vision tasks to inc

11.4k Jan 09, 2023
An open-source outlier detection package by Getcontact Data Team

pyfbad The pyfbad library supports anomaly detection projects. An end-to-end anomaly detection application can be written using the source codes of th

Teknasyon Tech 41 Dec 27, 2022
An integration of several popular automatic augmentation methods, including OHL (Online Hyper-Parameter Learning for Auto-Augmentation Strategy) and AWS (Improving Auto Augment via Augmentation Wise Weight Sharing) by Sensetime Research.

An integration of several popular automatic augmentation methods, including OHL (Online Hyper-Parameter Learning for Auto-Augmentation Strategy) and AWS (Improving Auto Augment via Augmentation Wise

45 Dec 08, 2022
Open source hardware and software platform to build a small scale self driving car.

Donkeycar is minimalist and modular self driving library for Python. It is developed for hobbyists and students with a focus on allowing fast experimentation and easy community contributions.

Autorope 2.4k Jan 04, 2023
Code repo for "Cross-Scale Internal Graph Neural Network for Image Super-Resolution" (NeurIPS'20)

IGNN Code repo for "Cross-Scale Internal Graph Neural Network for Image Super-Resolution" [paper] [supp] Prepare datasets 1 Download training dataset

Shangchen Zhou 278 Jan 03, 2023
Job-Recommend-Competition - Vectorwise Interpretable Attentions for Multimodal Tabular Data

SiD - Simple Deep Model Vectorwise Interpretable Attentions for Multimodal Tabul

Jungwoo Park 40 Dec 22, 2022
YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931)

Introduction Yolov5-face is a real-time,high accuracy face detection. Performance Single Scale Inference on VGA resolution（max side is equal to 640 an

DeepCam Shenzhen 1.4k Jan 07, 2023
Deep motion generator collections

GenMotion GenMotion (/gen’motion/) is a Python library for making skeletal animations. It enables easy dataset loading and experiment sharing for synt

23 May 24, 2022
[AAAI 2022] Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding

[AAAI 2022] Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding Official Pytorch implementation of Negative Sample Matter

Multimedia Computing Group, Nanjing University 69 Dec 26, 2022
DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.

DiffWave DiffWave is a fast, high-quality neural vocoder and waveform synthesizer. It starts with Gaussian noise and converts it into speech via itera

LMNT 498 Jan 03, 2023