Tom Dörr tom-doerr

Yes, just use the image option when using the vast cli. Example:

vast create instance 660127 --image tomdoerr/commonroad-search --disk 10

Problem:

I'm getting the following error message when trying to start the visualizer with the rosbag filename as a command line argument:

[FATAL] [1609275200.354480416]: Error opening file: routes_bags/route_11_406/failure_0.bag
WARNING: CPU random generator seem to be failing, disable hardware random number generation
WARNING: RDRND generated: 0xffffffff 0xffffffff 0xffffffff 0xffffffff
QStandardPaths: XDG_RUNTIME_DIR not set, defaulting to '/tmp/runtime-root'
[replayer-3] process has died [pid 428, exit code 1, cmd /opt/ros/noetic/lib/rosbag/play routes_bags/route_11_406/failure_0.bag __name:=replayer __log:=/root/.ros/log/e1c32564-4a17-11eb-9849-0242ac110003/replayer-3.log].
log file: /root/.ros/log/e1c32564-4a17-11eb-9849-0242ac110003/replayer-3*.log
[rqt_gui-2] process has finished cleanly

How do I start the fastai class label cleaner?

You can start it by executing

import ipywidgets
from fastai.vision.widgets import ImageClassifierCleaner
cleaner = ImageClassifierCleaner(learn)
cleaner

How do I start the fastai class label cleaner?

You can start it by executing

import ipywidgets
from fastai.vision.widgets import ImageClassifierCleaner
cleaner = ImageClassifierCleaner(learn)
cleaner

	MIT License

	Copyright (c) 2020 Tom Dörr

	Permission is hereby granted, free of charge, to any person obtaining a copy
	of this software and associated documentation files (the "Software"), to deal
	in the Software without restriction, including without limitation the rights
	to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
	copies of the Software, and to permit persons to whom the Software is
	furnished to do so, subject to the following conditions:

	ve() {
	if [[ ! $VIRTUAL_ENV ]]
	then
	if [ ! -d venv ]
	then
	virtualenv --no-site-packages venv
	fi
	source venv/bin/activate
	else
	deactivate

	disable-require = false
	#swarm-resource = "DOCKER_RESOURCE_GPU"

	[nvidia-container-cli]
	no-cgroups = true
	#root = "/run/nvidia/driver"
	#path = "/usr/bin/nvidia-container-cli"
	environment = []
	#debug = "/var/log/nvidia-container-toolkit.log"
	#ldcache = "/etc/ld.so.cache"

	#!/bin/bash

	CONTAINER_NAME="commonroad_container"
	MIN_FREE_GB=2
	SLEEP_TIME_MEMORY_CHECK=0.1

	trap 'kill $pid_to_kill_exit; exit' INT

	kill_low_memory() {
	while true

	import argparse
	import sys
	import logging
	import os
	from composio import ComposioToolSet, Action
	from upload_media import upload_media

	# Set debug logging
	logging.basicConfig(
	level=os.environ.get("COMPOSIO_LOGGING_LEVEL", "DEBUG"),

	# How do I start the fastai class label cleaner?

	You can start it by executing
	```
	import ipywidgets
	from fastai.vision.widgets import ImageClassifierCleaner
	cleaner = ImageClassifierCleaner(learn)
	cleaner
	```