{"id":22636479,"url":"https://github.com/mrdvince/vision","last_synced_at":"2026-04-13T20:31:29.988Z","repository":{"id":106603002,"uuid":"325897994","full_name":"mrdvince/vision","owner":"mrdvince","description":"A computer vision repo with random implementations. 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It works on Linux, OS X and Windows, and was created \nfor Python programs but can package and distribute any software.\n\n## Overview\n\n1. Install [`miniconda`](http://conda.pydata.org/miniconda.html) on your computer, by selecting the latest Python version for your operating system. If you already have `conda` or `miniconda` installed, you should be able to skip this step and move on to step 2.\n2. Create and activate * a new `conda` [environment](http://conda.pydata.org/docs/using/envs.html).\n\n## 1. Installation\n\n**Download** the latest version of `miniconda` that matches your system.\n\n|        | Linux | Mac | Windows | \n|--------|-------|-----|---------|\n| 64-bit | [64-bit (bash installer)][lin64] | [64-bit (bash installer)][mac64] | [64-bit (exe installer)][win64]\n| 32-bit | [32-bit (bash installer)][lin32] |  | [32-bit (exe installer)][win32]\n\n[win64]: https://repo.continuum.io/miniconda/Miniconda3-latest-Windows-x86_64.exe\n[win32]: https://repo.continuum.io/miniconda/Miniconda3-latest-Windows-x86.exe\n[mac64]: https://repo.continuum.io/miniconda/Miniconda3-latest-MacOSX-x86_64.sh\n[lin64]: https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh\n[lin32]: https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86.sh\n\n**Install** [miniconda](http://conda.pydata.org/miniconda.html) on your machine. Detailed instructions:\n\n- **Linux:** http://conda.pydata.org/docs/install/quick.html#linux-miniconda-install\n- **Mac:** http://conda.pydata.org/docs/install/quick.html#os-x-miniconda-install\n- **Windows:** http://conda.pydata.org/docs/install/quick.html#windows-miniconda-install\n\n## 2. Create and Activate the Environment\n\nFor Windows users, these following commands need to be executed from the **Anaconda prompt** as opposed to a Windows terminal window. For Mac, a normal terminal window will work. \n\n#### Git and version control\nThese instructions also assume you have `git` installed for working with Github from a terminal window, but if you do not, you can download that first with the command:\n```\nconda install git\n```\n\n1. Clone the repository, and navigate to the downloaded folder. This may take a minute or two to clone due to the included image data.\n```\ngit clone https://github.com/Droid021/vision\ncd vision\n```\n\n2. Create (and activate) a new environment, named `vision` with Python 3.6. If prompted to proceed with the install `(Proceed [y]/n)` type y.\n\n\t- __Linux__ or __Mac__: \n\t```\n\tconda create -n vision python=3.6\n\tsource activate \n\t```\n\t- __Windows__: \n\t```\n\tconda create -n vision python=3.6\n\tsource activate \n\t```\n\t\n\tAt this point your command line should look something like: `() \u003cUser\u003e:vision \u003cuser\u003e$`. The `(vision)` indicates that your environment has been activated, and you can proceed with further package installations.\n\n3. Install PyTorch and torchvision; this should install the latest version of PyTorch.\n\t\n\t- __Linux__ or __Mac__: \n\t```\n\tconda install pytorch torchvision -c pytorch \n\t```\n\t- __Windows__: \n\t```\n\tconda install pytorch -c pytorch\n\tpip install torchvision\n\t```\n\n6. Install a few required pip packages, which are specified in the requirements text file (including OpenCV).\n```\npip install -r requirements.txt\n```\n\n7. That's it!\n\nNow most of the libraries are available to you. Very occasionally, you will see a repository with an addition requirements file, which exists should you want to use TensorFlow and Keras, for example. In this case, you're encouraged to install another library to your existing environment, or create a new environment for a specific project. \n\nNow, assuming your `vision` environment is still activated, you can navigate to the main repo and start looking at the notebooks:\n\n```\ncd\ncd vision\njupyter notebook\n```\n\nTo exit the environment when you have completed your work session, simply close the terminal window.\n\n## Acknowledges\n1. Udacity\n2. Everyone in deep learning \n\n## Contact\n\nTwitter - [@darctrac3](https://twitter.com/darctrac3) Droid - vincivenv@gmail.com\n\nProject Link: [Deep Learning](https://github.com/Droid021/vision)\n\n\u003c!-- MARKDOWN LINKS \u0026 IMAGES --\u003e\n\u003c!-- https://www.markdownguide.org/basic-syntax/#reference-style-links --\u003e\n\n[contributors-shield]: https://img.shields.io/github/contributors/Droid021/vision.svg?style=flat-square\n[contributors-url]: https://github.com/Droid021/vision/graphs/contributors\n[forks-shield]: https://img.shields.io/github/forks/Droid021/vision.svg?style=flat-square\n[forks-url]: https://github.com/Droid021/vision/network/members\n[stars-shield]: https://img.shields.io/github/stars/Droid021/vision.svg?style=flat-square\n[stars-url]: https://github.com/Droid021/vision/stargazers\n[license-shield]: https://img.shields.io/github/license/Droid021/vision.svg?style=flat-square\n[linkedin-shield]: https://img.shields.io/badge/-LinkedIn-black.svg?style=flat-square\u0026logo=linkedin\u0026colorB=555\n[linkedin-url]: https://www.linkedin.com/in/v3nvince\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmrdvince%2Fvision","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmrdvince%2Fvision","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmrdvince%2Fvision/lists"}