This guide explains how to automatically setup SSH connection between your Google Cloud Platform Compute Engine VM Instances and third-party applications or servers. The most common use case is when you need auto-authenticate yourself when cloning private repositories or pushing commits via SSH. Shame on Google not to have a tutorial on this one.
Warning
This is different than ssh'ing into GCP VMs which has plenty of guides already.
| # Used in: https://www.kaggle.com/datasets/mantasu/glasses-segmentation-synthetic-dataset | |
| # Prerequisities: Portrait Eyeglasses and Shadows Removel Dataset: https://github.com/StoryMY/take-off-eyeglasses | |
| import os | |
| import cv2 | |
| import random | |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| from PIL import Image |
| import abc | |
| import time | |
| import threading | |
| import numpy as np | |
| import multiprocessing | |
| import matplotlib.pyplot as plt | |
| from functools import partial | |
| from matplotlib.axes import Axes | |
| from matplotlib.figure import Figure |
This guide provides steps on how to install Tensorflow and Pytorch on Linux environment (including WSL2 - Windows Subsystem for Linux) with NVIDIA GPU support. Here I focus on Ubuntu 22.04 and WSL2 (Windows 11) but things should work on more/less recent/relevant versions. From what I've checked there are no full consistent guidelines, hopefully this one should clear things up (also serve as a reminder for me).
To install purely on Windows 10/11 (no WSL), I suggest to follow this tutorial.