kylehounslow

from __future__ import print_function
import requests
import json
import cv2

addr = 'http://localhost:5000'
test_url = addr + '/api/test'

# prepare headers for http request
content_type = 'image/jpeg'

capntrips

// A quick and dirty DLL injector
// This method relies on static linkage and the fact that kernel32 doesn't move
// Compile with the same bitness as the target and the dll.
#define WIN32_LEAN_AND_MEAN
#include <Windows.h>
#include <Psapi.h>
#include <stdio.h>

int GetPid(char *modName)
{

charlie-x

@powershell -NoProfile -ExecutionPolicy Bypass -Command "iex ((new-object net.webclient).DownloadString('https://chocolatey.org/install.ps1'))" && SET PATH=%PATH%;%ALLUSERSPROFILE%\chocolatey\bin
rem choco install visualstudio2013professional %1 -y
rem choco install visualstudio2015professional %1 -y
rem choco install teamviewer9 %1 -y
chocolatey install paint.net %1 -y
chocolatey install tortoisegit %1 -y
chocolatey install tortoisesvn %1 -y
chocolatey install autodesk-fusion360 %1 -y
chocolatey install f.lux %1 -y
chocolatey install sysinternals %1 -y

drew-wallace

// ==UserScript==
// @name           sketchfab2obj
// @description    Save Sketchfab models as obj
// @author         <anonimus>
//
// Version Number
// @version        1.62
//
// Urls process this user script on
// @include        /^https?://(www\.)?sketchfab\.com/models/.*

cebolan

[net]
# Training
# batch=128
# subdivisions=2

# Testing
batch=1
subdivisions=1

height=256

Mxhmovd

#pip install pafy
#sudo pip install --upgrade youtube_dl
import cv2, pafy

url   = "https://www.youtube.com/watch______"
video = pafy.new(url)
best  = video.getbest(preftype="webm")
#documentation: https://pypi.org/project/pafy/

capture = cv2.VideoCapture(best.url)

tiagoshibata

commit 6fac225de0575b18550f9421196f90a2279c44af
Author: Tiago Koji Castro Shibata <tiago.shibata@gmail.com>
Date:   Fri Dec 28 23:13:14 2018 -0200

    Fix compilation with latest OpenCV
    
    C APIs were removed and must be replaced with C++ calls

diff --git a/Makefile b/Makefile
index 63e15e6..c148d4b 100644

silvesthu

GPU Optimization for GameDev

Graphics Pipeline / GPU Architecture Overview

• 2011 - A trip through the Graphics Pipeline 2011
• 2015 - Life of a triangle - NVIDIA's logical pipeline
• 2015 - Render Hell 2.0
• 2016 - How bad are small triangles on GPU and why?
• 2017 - GPU Performance for Game Artists
• 2019 - Understanding the anatomy of GPUs using Pokémon
• 2020 - GPU ARCHITECTURE RESOURCES

codewings

import json
import os
import plugin_api

#
def IsUsefulInput(viewtype):
    return viewtype == "CBV" or viewtype == "IBV" or viewtype == "VBV" or viewtype == "SRV"

def DumpBufferByDrawcall(folder, call, res, id, texture):
    if not os.path.exists(folder):

TengdaHan

Multi-node-training on slurm with PyTorch

What's this?

• A simple note for how to start multi-node-training on slurm scheduler with PyTorch.
• Useful especially when scheduler is too busy that you cannot get multiple GPUs allocated, or you need more than 4 GPUs for a single job.
• Requirement: Have to use PyTorch DistributedDataParallel(DDP) for this purpose.
• Warning: might need to re-factor your own code.
• Warning: might be secretly condemned by your colleagues because using too many GPUs.