Anthelmed

using System.IO;
using System.Threading;
using System.Threading.Tasks;
using Newtonsoft.Json; // https://docs.unity3d.com/Packages/com.unity.nuget.newtonsoft-json@2.0/manual/index.html
using UnityEngine;

public static class FileUtils
{
    public static string RootDirectory
    {

wisnunugroho21

# Pytorch implementation of Hungarian Algorithm
# Inspired from here : https://python.plainenglish.io/hungarian-algorithm-introduction-python-implementation-93e7c0890e15

# Despite my effort to parallelize the code, there is still some sequential workflows in this code

from typing import Tuple
import torch
from torch import Tensor

device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu')

Split82

Shader "Name" {

    Properties {

        _Name ("display name", Range (min, max)) = number
        _Name ("display name", Float) = number
        _Name ("display name", Int) = number
        _Name ("display name", Color) = (number,number,number,number)
        _Name ("display name", Vector) = (number,number,number,number)

phi-lira

// When creating shaders for Universal Render Pipeline you can you the ShaderGraph which is super AWESOME!
// However, if you want to author shaders in shading language you can use this teamplate as a base.
// Please note, this shader does not necessarily match perfomance of the built-in URP Lit shader.
// This shader works with URP 7.1.x and above
Shader "Universal Render Pipeline/Custom/Physically Based Example"
{
    Properties
    {
        // Specular vs Metallic workflow
        [HideInInspector] _WorkflowMode("WorkflowMode", Float) = 1.0