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#!/usr/bin/env python | |
# encoding: utf-8 | |
"""Minimal python commad line.""" | |
import sys | |
import argparse | |
import logging |
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# coding: utf-8 | |
import matplotlib.pyplot as plt | |
import Image | |
img = Image.open('truman-stairs.jpg') | |
fig, ax = plt.subplots(figsize=(12,12)) | |
ax.imshow(img, aspect='equal') | |
ax.add_patch( |
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################################################################################# | |
# Authors: Keiller Nogueira, Victor de Melo | |
################################################################################# | |
# nvidia-docker seems more stable now and several images are starting to adopt it (including | |
# [kaixhin](https://github.com/NVIDIA/nvidia-docker/issues/85). | |
# hence, we suggest to use it instead, as it solves a few issues with gpu passthrough. | |
# usage: it is only required when creating a container, i.e, with `run` and related arguments | |
# you're not required to provide $DOCKER_NVIDIA_DEVICES as it will find the devices itself |
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