Ajinkya Puar ajinkyapuar

## nvidia.md

      
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                ajinkyapuar
                / nvidia.md
            
            
              Created
              October 25, 2023 13:17
                — forked from bitsurgeon/nvidia.md
            
              
                install Nvidia driver on Ubuntu with Secure Boot
              
          
    Install Nvidia Driver on Ubuntu 18.04.3

Secure Boot

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

Before installation, switch to "Discrete Graphics" in BIOS, if both Intel and Nvidia graphics are present.
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.
Select "Configure Secure Boot", and set password.
Continue Ubuntu installation as normal.


## anydesk-enable-remote-access.md

      
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                ajinkyapuar
                / anydesk-enable-remote-access.md
            
            
              Created
              October 9, 2023 11:31
                — forked from imami/anydesk-enable-remote-access.md
            
              
                AnyDesk - How Enable Remote Access from ubuntu/debian terminal
              
          
    ###AnyDesk - How Enable Remote Access from ubuntu/debian terminal.

Note:

Here are the commands might be usefull in this purpose:

anydesk --get-status : To get current status of anydesk, which might be offlien,online or nothing.
anydesk --get-id : To get the ID that your system can be accessed by.
anydesk --service : To start anydesk service if not already running (for Linux).
anydesk --restart-service : To restart anydesk service
anydesk --stop-service : To stop anydesk service


## gist:a3eaa6abb807916ff3835743bf193bc5
# Must have conda installed
# It costs approximately $0.2 (in GPT-4 API fees) to generate one example with analysis and design, and around $2.0 for a full project.

conda create -n metagpt python=3.11.4
conda activate metagpt
npm --version # to check you have npm installed
# optional: install node if you don't have it
npm install -g @mermaid-js/mermaid-cli
git clone https://github.com/geekan/metagpt
cd metagpt

## app.py
import os
import cv2
import tkinter as tk

points = [(0.2, 0.2), (0.5, 0.2), (0.8, 0.2),
          (0.2, 0.5), (0.5, 0.5), (0.8, 0.5),
          (0.2, 0.8), (0.5, 0.8), (0.8, 0.8)]

class CalibrationApp:
    def __init__(self, master):

## index.html
<!DOCTYPE html>
<html>
<head>
<script type="text/javascript">
    // use vanilla JS because why not
    window.addEventListener("load", function() {

        // create websocket instance
        var mySocket = new WebSocket("ws://localhost:8080/ws");


## GetExternalIPAddress.cs
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
using UnityEngine.Networking;

public class GetExternalIPAddress : MonoBehaviour {

    void Start()
    {
        StartCoroutine(GetIPAddress());

## gist:75337c57abb912c331852d8c318ee7a4
pm list packages -f

## OpenOtherAppFromUnityScript.cs
public void OpenApp() {
		string bundleId = "<App Package Name>"; // your target bundle id
		AndroidJavaClass up = new AndroidJavaClass("com.unity3d.player.UnityPlayer");
		AndroidJavaObject ca = up.GetStatic<AndroidJavaObject>("currentActivity");
		AndroidJavaObject packageManager = ca.Call<AndroidJavaObject>("getPackageManager");

		//if the app is installed, no errors. Else, doesn't get past next line
		AndroidJavaObject launchIntent = packageManager.Call<AndroidJavaObject>("getLaunchIntentForPackage",bundleId);

		ca.Call("startActivity",launchIntent);

## OSC-Python.py
#python

'''
setup instruction
for Install pythonosc
pip install python-osc

'''

from pythonosc import dispatcher

## convert_diffusers_to_sd.py
# Script for converting a HF Diffusers saved pipeline to a Stable Diffusion checkpoint.
# *Only* converts the UNet, VAE, and Text Encoder.
# Does not convert optimizer state or any other thing.
# Written by jachiam

import argparse
import os.path as osp

import torch
	# Must have conda installed
	# It costs approximately $0.2 (in GPT-4 API fees) to generate one example with analysis and design, and around $2.0 for a full project.

	conda create -n metagpt python=3.11.4
	conda activate metagpt
	npm --version # to check you have npm installed
	# optional: install node if you don't have it
	npm install -g @mermaid-js/mermaid-cli
	git clone https://github.com/geekan/metagpt
	cd metagpt
	import os
	import cv2
	import tkinter as tk

	points = [(0.2, 0.2), (0.5, 0.2), (0.8, 0.2),
	(0.2, 0.5), (0.5, 0.5), (0.8, 0.5),
	(0.2, 0.8), (0.5, 0.8), (0.8, 0.8)]

	class CalibrationApp:
	def __init__(self, master):
	<!DOCTYPE html>
	<html>
	<head>
	<script type="text/javascript">
	// use vanilla JS because why not
	window.addEventListener("load", function() {

	// create websocket instance
	var mySocket = new WebSocket("ws://localhost:8080/ws");
	using System.Collections;
	using System.Collections.Generic;
	using UnityEngine;
	using UnityEngine.Networking;

	public class GetExternalIPAddress : MonoBehaviour {

	void Start()
	{
	StartCoroutine(GetIPAddress());
	public void OpenApp() {
	string bundleId = "<App Package Name>"; // your target bundle id
	AndroidJavaClass up = new AndroidJavaClass("com.unity3d.player.UnityPlayer");
	AndroidJavaObject ca = up.GetStatic<AndroidJavaObject>("currentActivity");
	AndroidJavaObject packageManager = ca.Call<AndroidJavaObject>("getPackageManager");

	//if the app is installed, no errors. Else, doesn't get past next line
	AndroidJavaObject launchIntent = packageManager.Call<AndroidJavaObject>("getLaunchIntentForPackage",bundleId);

	ca.Call("startActivity",launchIntent);
	#python

	'''
	setup instruction
	for Install pythonosc
	pip install python-osc

	'''

	from pythonosc import dispatcher
	# Script for converting a HF Diffusers saved pipeline to a Stable Diffusion checkpoint.
	# Only converts the UNet, VAE, and Text Encoder.
	# Does not convert optimizer state or any other thing.
	# Written by jachiam

	import argparse
	import os.path as osp

	import torch