Ratnesh Madaan madratman

https://docs.unrealengine.com/en-US/Platforms/Linux/GettingStarted/index.html grab v13 clang toolchain under unreal 4.22 section

open admin command promp and : C:\WINDOWS\system32> setx LINUX_MULTIARCH_ROOT C:\UnrealToolchains\v13_clang-7.0.1-centos7\

mkdir frames
ffmpeg -i video.mp4  -r 5 'frames/frame-%05d.png'
mogrify -resize 360x640 *.png
convert -delay 10 -loop 0 *.png myimage.gif

Login to cluster ssh [email protected]

Request a node (use any one of these) srun -w clamps -t 5-00:00 -p gpu --gres=gpu:1 --pty /bin/bash srun -w roberto -t 5-00:00 -p gpu --gres=gpu:1 --pty /bin/bash

to run your docker image: nvidia-docker run -it --rm --ipc=host -e CUDA_VISIBLE_DEVICES=`echo $CUDA_VISIBLE_DEVICES` -v /data/datasets:/data/datasets -v /storage2/datasets:/storage2/datasets -v /local:/local -v /home/$USER:/home/$USER -v /storage1:/storage1 nvidia/cuda:8.0-cudnn5-devel-ubuntu16.04

Keybase proof

I hereby claim:

I am madratman on github.
I am madratman (https://keybase.io/madratman) on keybase.
I have a public key ASAh2qBRrxv6r_SqPJErkN6vlZkDayjsVy5hGdtSu1sl2wo

To claim this, I am signing this object:

	import airsimneurips
	import threading
	import time
	import random

	class ReproduceResetRaceCondition():
	def __init__(self, drone_name = "drone_1"):
	self.airsim_client = airsimneurips.MultirotorClient()
	self.airsim_client_2 = airsimneurips.MultirotorClient()
	self.airsim_client_3 = airsimneurips.MultirotorClient()

	{
	"ClockSpeed": 1,
	"SeeDocsAt": "https://github.com/Microsoft/AirSim/blob/master/docs/settings.md",
	"SettingsVersion": 1.2,
	"SimMode": "Multirotor",
	"ViewMode": "NoDisplay",
	"Vehicles": {
	"drone_1": {
	"Cameras": {
	"fpv_cam": {

	madratman@madratman-HP-Z4-G4-Workstation:~$ ./Downloads/Blocks/Blocks.sh -windowed
	Increasing per-process limit of core file size to infinity.
	LogPlatformFile: Using cached read wrapper
	LogInit: Display: RandInit(754615442) SRandInit(754615442).
	LogTaskGraph: Started task graph with 5 named threads and 17 total threads with 3 sets of task threads.
	LogStats: Stats thread started at 0.022213
	LogPluginManager: Mounting plugin AirSim
	LogPluginManager: Mounting plugin PhysXVehicles
	LogPluginManager: Mounting plugin Paper2D
	LogPluginManager: Mounting plugin LightPropagationVolume

	% Totally not inspired by LSD-SLAM https://vision.in.tum.de/_media/spezial/bib/engel14eccv.pdf
	\documentclass{article}
	\usepackage[utf8]{inputenc}
	\usepackage{amsmath}
	\usepackage{amsfonts}
	\begin{document}

	A 3D rigid body transform, $\mathbf{G} \in SE(3)$ :
	\begin{flalign*}
	&\mathbf{G} =

	/*********************************************************************
	* Software License Agreement (BSD License)
	*
	* Copyright (c) 2010, Rice University
	* All rights reserved.
	*
	* Redistribution and use in source and binary forms, with or without
	* modification, are permitted provided that the following conditions
	* are met:
	*

	import torch
	import pytorch_autoencoder

	list_of_numbers = get them from cpp
	sum = sum

	model = pytorch_autoencoder.ConvCVAENet(state_dim = 2,
	condition_dim = (200, 200, 2),
	latent_dim = 3,
	encoder_hidden_dim = 512,