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Today being so frustrated, spent 3 hours to move the angular2 test application to the digitalocean cloud because of some small issues.

1. why npm install doesn’t work at all for the angular-cli

try the npm install command, but after the installation, the node_modules folder is still empty.

solution: install the yarn, and use yarn for the installation

2. Module build failed: Error: ENOENT: no such file or directory, scandir ‘/root/dashboard2/dashboard/node_modules/node-sass/vendor’

screenshot-2017-01-09-15-11-39

solution:
2.1 install python
2.2 npm rebuild node-sass

重新开始

很久没有动笔,下午更新完程序国内已经进入午夜,伦敦在4点也笼罩在夜色中,房间中黑漆漆的一片。有点疲倦的时候听到Les Miserables中的歌曲,思绪不由的回到年纪不过6,7岁,第一次看悲惨世界的电影,就被雨果笔下的人物和主题所震撼。小时候不知道信仰为何物,如何在世间的善与恶中做着抉择。但隐隐之中,心里暗暗的默认那是自己想成为的人。

For the wretched of the earth there is a flame that never dies. Even the darkest night will end and the sun will rise.

时间过去如此之快
经历过迷失,失望和挣扎
也曾今忘记了自己为何而来
但希望一直存在,阻碍也并不可怕
在黑夜的纱幕消失之前,静下来去履行自己的诺言

GenerateMe

Originaly posted on FB Deep Dream // Tutorials group under this link: https://www.facebook.com/groups/733099406836193/permalink/748784328601034/ A little bit messy. Give me an info if something is unclear or bullshit.

Ok, so, you’re bored, have spare time, have working caffe on gpu and want to try train network to get rid of dogs in deep dream images… Here is tutorial for you. In points.

  1. Forget about training from the scratch, only fine tune on googlenet. Building net from the scratch requires time, a lot of time, hundreds of hours… Read it first: http://caffe.berkeleyvision.org/gathered/examples/finetune_flickr_style.html.
  2. The hardest part: download 200-1000 images you want to use for training. I found that one type of images work well. Faces, porn, letters, animals, guns, etc.
  3. Resize all images into dimension of 256×256. Save it as truecolor jpgs (not grayscale, even if they are grayscale)
  4. OPTION: Calculate average color values of all your images. You need to know what is…

View original post 881 more words

Atmel | Bits & Pieces


The brainchild of MIT Media Lab’s Fluid Interfaces Group, Open Hybrid is an augmented reality platform for physical computing and the Internet of Things.


The Xerox Star was the first commercially available computer showing a Graphical User Interface (GUI). Since its debut in 1981, many of its introduced concepts have remained the same, especially with regards to how we interact with our digital world: a pointing device for input, some sort of keyboard for commands and a GUI for interaction. However, with many of today’s physical objects becoming increasingly connected to the Internet, Valentin Heun of MIT Media Lab’s Fluid Interfaces Group believes that GUI has hit its limit when it comes to extending its reach beyond the borders of the screen.

Xerox_Star_8010

This problem is nothing new, though. Dating back the days of text-only command lines, interface designers have always been challenged by the imbalance between the countless commands that a computer can interpret, and the number of which one could store in their brain at one…

View original post 892 more words

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