adamjohnson

"Help, I keep getting a 'Permission Denied (publickey)' error when I push!"

This means, on your local machine, you haven't made any SSH keys. Not to worry. Here's how to fix:

1. Open git bash (Use the Windows search. To find it, type "git bash") or the Mac Terminal. Pro Tip: You can use any *nix based command prompt (but not the default Windows Command Prompt!)
2. Type cd ~/.ssh. This will take you to the root directory for Git (Likely C:\Users\[YOUR-USER-NAME]\.ssh\ on Windows)
3. Within the .ssh folder, there should be these two files: id_rsa and id_rsa.pub. These are the files that tell your computer how to communicate with GitHub, BitBucket, or any other Git based service. Type ls to see a directory listing. If those two files don't show up, proceed to the next step. NOTE: Your SSH keys must be named id_rsa and id_rsa.pub in order for Git, GitHub, and BitBucket to recognize them by default.
4. To create the SSH keys, type ssh-keygen -t rsa -C "your_email@example.com". Th

afaq125

using UnityEngine;
using System.Collections;
using System.Collections.Generic;

public class BezierCurveScript : MonoBehaviour {

	public class BezierPath
	{
		public List<Vector3> pathPoints;
		private int segments;

DashW

using UnityEngine;
using System;
using System.Collections;
using System.Collections.Generic;
using System.IO;
using System.Threading;

class BitmapEncoder
{
	public static void WriteBitmap(Stream stream, int width, int height, byte[] imageData)

krzys-h

using UnityEngine;
using UnityEditor;

public class SaveRenderTextureToFile {
    [MenuItem("Assets/Save RenderTexture to file")]
    public static void SaveRTToFile()
    {
        RenderTexture rt = Selection.activeObject as RenderTexture;

        RenderTexture.active = rt;

Mahedi-61

#!/bin/bash

### steps ####
# Verify the system has a cuda-capable gpu
# Download and install the nvidia cuda toolkit and cudnn
# Setup environmental variables
# Verify the installation
###

### to verify your gpu is cuda enable check

matheustguimaraes

Install CUDA 10.0 and cuDNN v7.4.2 on Ubuntu 16.04

Originally posted on: https://matheustguimaraes.com/blog/cuda-cudnn-ubuntu-installation

Install the latest NVIDIA driver

Update package lists, download and install NVIDIA driver

sudo apt-get update
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt install nvidia-410

bitsurgeon

Install Nvidia Driver on Ubuntu 18.04.3

Secure Boot

This section applies to machines with Secure Boot, such as ThinkPad.

1. Before installation, switch to "Discrete Graphics" in BIOS, if both Intel and Nvidia graphics are present.
2. During installation, make sure to select the "Install third-party software for graphics and Wi-Fi hardware and addition media formats" in "Updates and other software" screen.
3. Select "Configure Secure Boot", and set password.
4. Continue Ubuntu installation as normal.

raulqf

How to install OpenCV 4.5.2 with CUDA 11.2 and CUDNN 8.2 in Ubuntu 22.04

First of all install update and upgrade your system:

    $ sudo apt update
    $ sudo apt upgrade

Then, install required libraries:

myounus96

Convert PascalVOC Annotations to YOLO

This script reads PascalVOC xml files, and converts them to YOLO txt files.

Note: This script was written and tested on Ubuntu. YMMV on other OS's.

Disclaimer: This code is a modified version of Joseph Redmon's voc_label.py

Instructions:

1. Place the convert_voc_to_yolo.py file into your data folder.

omaraflak

import numpy as np
import matplotlib.pyplot as plt

# find the a & b points
def get_bezier_coef(points):
    # since the formulas work given that we have n+1 points
    # then n must be this:
    n = len(points) - 1

    # build coefficents matrix