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处理flag解析，然后执行main函数

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NHWC

1
[batch, height, width, channels]

NCHW

1
[batch, channels, height, width]

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ln -s /usr/local/bin/hexo /usr/bin/hexo
ln -s /usr/local/bin/node /usr/bin/node

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array和asarray都可以将结构数据转化为ndarray，但是主要区别就是当数据源是ndarray时，array仍然会copy出一个副本，占用新的内存，但asarray不会

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# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: linux-64
@EXPLICIT
https://repo.continuum.io/pkgs/main/linux-64/backports-1.0-py27h63c9359_1.tar.bz2
https://repo.continuum.io/pkgs/free/linux-64/backports.weakref-1.0rc1-py27_0.tar.bz2
https://repo.continuum.io/pkgs/free/linux-64/bleach-1.5.0-py27_0.tar.bz2
https://repo.continuum.io/pkgs/main/linux-64/ca-certificates-2017.08.26-h1d4fec5_0.tar.bz2
https://repo.continuum.io/pkgs/main/linux-64/certifi-2017.11.5-py27h71e7faf_0.tar.bz2
https://repo.continuum.io/pkgs/free/linux-64/cudatoolkit-8.0-3.tar.bz2
https://repo.continuum.io/pkgs/free/linux-64/cudnn-6.0.21-cuda8.0_0.tar.bz2
https://repo.continuum.io/pkgs/main/linux-64/funcsigs-1.0.2-py27h83f16ab_0.tar.bz2
https://repo.continuum.io/pkgs/free/linux-64/html5lib-0.9999999-py27_0.tar.bz2
https://repo.continuum.io/pkgs/main/linux-64/intel-openmp-2018.0.0-hc7b2577_8.tar.bz2
https://repo.continuum.io/pkgs/main/linux-64/libedit-3.1-heed3624_0.tar.bz2
https://repo.continuum.io/pkgs/main/linux-64/libffi-3.2.1-hd88cf55_4.tar.bz2
https://repo.continuum.io/pkgs/main/linux-64/libgcc-7.2.0-h69d50b8_2.tar.bz2
https://repo.continuum.io/pkgs/main/linux-64/libgcc-ng-7.2.0-h7cc24e2_2.tar.bz2
https://repo.continuum.io/pkgs/main/linux-64/libprotobuf-3.4.1-h5b8497f_0.tar.bz2
https://repo.continuum.io/pkgs/main/linux-64/libstdcxx-ng-7.2.0-h7a57d05_2.tar.bz2
https://repo.continuum.io/pkgs/free/linux-64/markdown-2.6.9-py27_0.tar.bz2
https://repo.continuum.io/pkgs/main/linux-64/mkl-2018.0.1-h19d6760_4.tar.bz2
https://repo.continuum.io/pkgs/main/linux-64/mock-2.0.0-py27h0c0c831_0.tar.bz2
https://repo.continuum.io/pkgs/main/linux-64/ncurses-6.0-h9df7e31_2.tar.bz2
https://repo.continuum.io/pkgs/main/linux-64/numpy-1.13.3-py27hbcc08e0_0.tar.bz2
https://repo.continuum.io/pkgs/main/linux-64/openssl-1.0.2n-hb7f436b_0.tar.bz2
https://repo.continuum.io/pkgs/main/linux-64/pbr-3.1.1-py27hf64632f_0.tar.bz2
https://repo.continuum.io/pkgs/main/linux-64/pip-9.0.1-py27ha730c48_4.tar.bz2
https://repo.continuum.io/pkgs/main/linux-64/protobuf-3.4.1-py27h2ba6a9c_0.tar.bz2
https://repo.continuum.io/pkgs/main/linux-64/python-2.7.14-h1571d57_29.tar.bz2
https://repo.continuum.io/pkgs/main/linux-64/readline-7.0-ha6073c6_4.tar.bz2
https://repo.continuum.io/pkgs/main/linux-64/setuptools-36.5.0-py27h68b189e_0.tar.bz2
https://repo.continuum.io/pkgs/main/linux-64/six-1.11.0-py27h5f960f1_1.tar.bz2
https://repo.continuum.io/pkgs/main/linux-64/sqlite-3.20.1-hb898158_2.tar.bz2
https://repo.continuum.io/pkgs/free/linux-64/tensorflow-gpu-1.3.0-0.tar.bz2
https://repo.continuum.io/pkgs/free/linux-64/tensorflow-gpu-base-1.3.0-py27cuda8.0cudnn6.0_1.tar.bz2
https://repo.continuum.io/pkgs/free/linux-64/tensorflow-tensorboard-0.1.5-py27_0.tar.bz2
https://repo.continuum.io/pkgs/main/linux-64/tk-8.6.7-hc745277_3.tar.bz2
https://repo.continuum.io/pkgs/main/linux-64/werkzeug-0.12.2-py27hbf75dff_0.tar.bz2
https://repo.continuum.io/pkgs/main/linux-64/wheel-0.30.0-py27h2bc6bb2_1.tar.bz2
https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/linux-64/yaml-0.1.6-0.tar.bz2
https://repo.continuum.io/pkgs/main/linux-64/zlib-1.2.11-ha838bed_2.tar.bz2

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利用鼠标进入 cope-mode，可以直接在 tmux 中滚动历史，并选择文本将其复制到 tmux 的缓冲区中。当想要在其他面板或窗口中复制这段文本时，只需要使用复制命令 bindkey p 即可。这样，基本上 Tmux 内部的复制粘贴就都可以搞定。

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1
pip install numpy Pillow tqdm scikit-image pandas  opencv-python matplotlib tensorboardX alog

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rename "s/orig/add2dim/g"  *

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import matplotlib.pyplot as plt
import numpy as np

# 简单的绘图
x = np.linspace(0, 2 * np.pi, 50)
plt.plot(x, np.sin(x)) # 如果没有第一个参数 x，图形的 x 坐标默认为数组的索引
plt.show() # 显示图形

x = np.linspace(0, 2 * np.pi, 50)
plt.plot(x, np.sin(x),
        x, np.sin(2 * x))
plt.show()

# 自定义曲线的外观
x = np.linspace(0, 2 * np.pi, 50)
plt.plot(x, np.sin(x), 'r-o',
        x, np.cos(x), 'g--')
plt.show()

# 使用子图
x = np.linspace(0, 2 * np.pi, 50)
plt.subplot(2, 1, 1) # （行，列，活跃区）
plt.plot(x, np.sin(x), 'r')
plt.subplot(2, 1, 2)
plt.plot(x, np.cos(x), 'g')
plt.show()

# 添加标题，坐标轴标记和图例
x = np.linspace(0, 2 * np.pi, 50)
plt.plot(x, np.sin(x), 'r-x', label='Sin(x)')
plt.plot(x, np.cos(x), 'g-^', label='Cos(x)')
plt.legend() # 展示图例
plt.xlabel('Rads') # 给 x 轴添加标签
plt.ylabel('Amplitude') # 给 y 轴添加标签
plt.title('Sin and Cos Waves') # 添加图形标题
plt.show()