I find default visualization settings for images in matplotlib inconvenient. Usually I prefer to see images in grayscale color map and without smoothing. Thus I see actual data without distortions. Grayscale is easier to understand. 1 2 3 import matplotlib.pyplot as plt plt.rcParams['image.cmap'] = 'gray' plt.rcParams['image.interpolation'] = 'nearest' Compare default colors and interpolation: and after applying the settings:
Okay children, today we learn how to convert text to numpy matrix. Source is [here](http://docs.scipy.org/doc/numpy/reference/generated/numpy.loadtxt.html" target="_blank). # loading modules import numpy from StringIO import StringIO # Using StringIO as a file-like wrapper over text I0 = numpy.loadtxt(StringIO(""" 0 0 0 0 0 0 0 0.5000 0 0 0 0 1.0000 0 0 0 0 0.5000 0 0 0 1.0000 0 0 0 0 0.5000 0 0 0 0 0.5000 1.0000 0 0 0 0 0 0 0"...
Standard matlab’s quiver function has axis origin in left bottom corner, however, images have origin in top left corner. To display optical flow vector field consistenly i use the following fucntion: function [ output ] = quiver_flow( u, v ) %QUIVER_FLOW Displays quiver for optical flow % SMatyunin2014 output = quiver( u, v, 0); axis ij; end
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 # creating a variable theNotebook with the name of notebook # source: http://stackoverflow.com/a/23619544 # In[1]: %%javascript var kernel = IPython.notebook.kernel; var thename = window.document.getElementById("notebook_name").innerHTML; var command = "theNotebook = " + "'"+thename+"'"; kernel.execute(command); # saving to a directory 'backup'. create the directory if it doesn't exist # source http://stackoverflow....
I wrote python version of interp2(z, xi, yi,’linear’) from matlab https://github.com/serge-m/pyinterp2
Drawing on an image with TikZ Drawing label on figure (using tikz) \begin{tikzpicture} \node[anchor=south west,inner sep=0] at (0,0) {\includegraphics[trim={600px 200px 50px 200px},clip, width=1\linewidth]{images/DP_10150_simpleCombinedBasedOnDPlen.exe_scale1_blank/frm00001}}; %\draw[white,fill=white] (0.0,0.0) rectangle (0.5,0.5); \node[minimum size=.6cm, fill=white,anchor=south west] at (0.0,0.0){а}; \end{tikzpicture}
_Intro __Theano_ is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Check gpu is workingSource: [http://deeplearning.net/software/theano/tutorial/using_gpu.html](http://deeplearning.net/software/theano/tutorial/using_gpu.html) Test script: :::: from theano import function, config, shared, sandbox import theano.tensor as T import numpy import time <span class="n">vlen</span> <span class="o">=</span> <span class="mi">10</span> <span class="o">*</span> <span class="mi">30</span> <span class="o">*</span> <span class="mi">768</span> <span class="c"># 10 x #cores x # threads per core</span> <span class="n">iters</span> <span class="o">=</span> <span class="mi">1000</span> <span class="n">rng</span> <span class="o">=</span> <span class="n">numpy</span><span class="o">....
use “screen” utility ctrl-a-p - switch ctrl-a-c - new ctrl-a-Q - remove freeze ctrl-a-s - freeze ctrl-a-S - split, but doesn;t work see also: using tmux
There is a lot of answers here: http://stackoverflow.com/questions/79165/how-to-migrate-svn-with-history-to-a-new-git-repository I found rather useful [this one](http://stackoverflow.com/a/9316931" target="_blank). A guy made a script according to proposed instructions: https://github.com/onepremise/SGMS This script will convert projects stored in SVN with the following format: /trunk /Project1 /Project2 /branches /Project1 /Project2 /tags /Project1 /Project2 This scheme is also popular and supported as well: /Project1 /trunk /branches /tags /Project2 /trunk /branches /tags Each project will get synchronized over by project name:...
There must be some kind of rating here. Maybe later… Done The Subtle Art of Not Giving a F*ck: A Counterintuitive Approach to Living a Good Life by Mark Manson. Download at amazon. Read 2022. It seems to me this is a shorter, a bit more rude version of “Seven habits” for millennials. I like the book. I guess it is even too short for me to unpack some of the ideas while I was listening to the audio version....