Скачать с ютуб META Segment Anything 2.1 - SAM2.1 - Install Locally and Run in Python and Windows в хорошем качестве

META Segment Anything 2.1 - SAM2.1 - Install Locally and Run in Python and Windows

#meta #sam2 #sam2.1 #computervision #mechinelearning #pytorch #opencvpython The manual, Python code, and coyote video used in this video are given here (small fee is required): https://ko-fi.com/s/38fdd5a940 In this tutorial, we explain all the steps you need to perform in order to locally install Meta Segment Anything Model 2.1 or SAM 2.1 in Python and Windows. The installation process might be a bit tricky since this software is mainly developed in Linux and for Linux users. On the official GitHub page, it is suggested to use the Windows Subsystem for Linux (WSL) to run the software in Windows. However, experience shows that this is not a good idea. This is mainly because WSL has a number of graphical issues and it is not good for running graphical applications. In contrast, in this tutorial, we explain how to correctly install SAM 2.1 directly on Windows. We then explain how to write a Python program for using SAM 2.1. Note that if you blindly use the installation instructions and code given on the official SAM2.1 website, you might get a number of errors, and you might not be able to use it on Windows machines. This is mainly because these instructions are valid for Linux machines. In contrast, we explain how to install SAM2.1 and how to write a Python code that can be executed on Windows machines. You can easily upgrade and modify this code. We provide links to this installation manual, Python code, and demo coyote video used in this tutorial. That is, we provide everything necessary to run SAM2.1 demo presented in this video.