{"id":15015596,"url":"https://github.com/apchavan/virtual-self-driving-car","last_synced_at":"2026-01-04T18:05:43.710Z","repository":{"id":134121206,"uuid":"276395272","full_name":"apchavan/virtual-self-driving-car","owner":"apchavan","description":"Virtual self driving car with reinforcement learning using Kivy \u0026 PyTorch framework.","archived":false,"fork":false,"pushed_at":"2020-07-01T15:40:24.000Z","size":10124,"stargazers_count":4,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-01-27T15:49:19.851Z","etag":null,"topics":["artificial-intelligence","artificial-neural-networks","kivy","kivy-framework","python","python3","pytorch","pytorch-rl","reinforcement-learning","self-driving-car"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"bsd-3-clause","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/apchavan.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-07-01T14:10:28.000Z","updated_at":"2024-02-04T16:29:02.000Z","dependencies_parsed_at":null,"dependency_job_id":"54882afd-ba38-4b97-81ec-0a9be9ddc85a","html_url":"https://github.com/apchavan/virtual-self-driving-car","commit_stats":{"total_commits":15,"total_committers":2,"mean_commits":7.5,"dds":0.06666666666666665,"last_synced_commit":"7f70c4330adbc63314febdd559c26f8791143294"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/apchavan%2Fvirtual-self-driving-car","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/apchavan%2Fvirtual-self-driving-car/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/apchavan%2Fvirtual-self-driving-car/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/apchavan%2Fvirtual-self-driving-car/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/apchavan","download_url":"https://codeload.github.com/apchavan/virtual-self-driving-car/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244981007,"owners_count":20542287,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["artificial-intelligence","artificial-neural-networks","kivy","kivy-framework","python","python3","pytorch","pytorch-rl","reinforcement-learning","self-driving-car"],"created_at":"2024-09-24T19:47:40.533Z","updated_at":"2026-01-04T18:05:38.663Z","avatar_url":"https://github.com/apchavan.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Virtual self driving car :car:\n\n\u003cimg style=\"display: block; margin-left: auto; margin-right: auto;\" src=\"./output.gif\" /\u003e\n\n\n## About project :information_source:\nVirtual self driving car is an educational reinforcement learning mini-project developed using two awesome frameworks of \u003ca href=\"https://python.org/\"\u003ePython\u003c/a\u003e:\n 1. \u003ca href=\"https://kivy.org/\"\u003eKivy\u003c/a\u003e framework :kiwi_fruit: (used for GUI as environment) and \u003cBR /\u003e\n 2. \u003ca href=\"https://pytorch.org/\"\u003ePyTorch\u003c/a\u003e framework :fire: (used for reinforcement learning). \u003cBR /\u003e\n\n* _Each source code file contains comments to explain meaning of that code along with some reference links._ \u003cBR /\u003e\n* _Setup instructions below also provided in **Instructions.txt** file of project root, so you can follow there if required._ \n\n## Project dependencies setup instructions :hammer_and_wrench::chains:\nIt is highly recommended that to create a virtual environment using 'conda' because, there are lot of dependencies which will be installed automatically. \u003cBR /\u003e\nProject requires two packages mainly along with their dependencies (which will installed automatically with them), also read '**NOTE**' sections for each packages:\n 1. \u003ca href=\"https://kivy.org/\"\u003eKivy\u003c/a\u003e framework :kiwi_fruit: (_Nightly build_): \u003cBR /\u003e\n    * _**Install command**_ -\u003e \u003cBR /\u003e\n        \u0026emsp; `pip install --upgrade kivy[base] kivy_examples --pre --extra-index-url https://kivy.org/downloads/simple/`\n    * _**NOTE**_ : \u003cBR /\u003e\n        After you installed the 'Kivy' framework using above command, check installed version using command in your virtual environment: \u003cBR /\u003e\n        \u0026emsp; `python -c \"import kivy; kivy.__version__; exit(0);\"` \u003cBR /\u003e\n        There will be some command output such as, \u003cBR /\u003e\n        \u0026emsp; `[INFO   ] [Kivy        ] v2.0.0rc3, git-20c14b2, 20200615` \u003cBR /\u003e\n        Where, **v2.0.0rc3** means installed version is **2.0.0**, similarly check your installed version \u0026 update accordingly in first line of \"**_car.kv_**\" file only if program while running gives error related to _Kivy_. \u003cBR /\u003e\n\n 2. \u003ca href=\"https://kivy.org/\"\u003ePyTorch\u003c/a\u003e framework :fire: (_Using 'pip' command_): \u003cBR /\u003e\n    * _**NOTE**_ : \u003cBR /\u003e\n    \u0026emsp; Make sure to check official \u003ca href=\"https://pytorch.org/\"\u003ePyTorch\u003c/a\u003e site \u0026 install latest version instead of **1.5.1**or **0.6.1** as they're latest at the time of writing. \u003cBR /\u003e\n    * _**Install CPU only version (Recommended \u0026 used in this project)**_ -\u003e \u003cBR /\u003e\n    \u0026emsp; `pip install torch==1.5.1+cpu torchvision==0.6.1+cpu -f https://download.pytorch.org/whl/torch_stable.html` \u003cBR /\u003e\n    * _**Install GPU version (No GPU used in this project)**_ -\u003e \u003cBR /\u003e\n    \u0026emsp; `pip install torch===1.5.1 torchvision===0.6.1 -f https://download.pytorch.org/whl/torch_stable.html` \u003cBR /\u003e\n\n## Finally execute :racing_car:\n 1. Activate virtual environment containing above package installation in project root.\n 2. Enter the command: `python map.py` \u003cBR /\u003e \u003cBR /\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fapchavan%2Fvirtual-self-driving-car","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fapchavan%2Fvirtual-self-driving-car","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fapchavan%2Fvirtual-self-driving-car/lists"}