autosquid

;;; autopyimport.el --- Import python packages automatically


;; Copyright(C) 2017 CAPG Lab., Zhejiang University.


;; Author: Z. Wang <justin.seeley.cn@gmail.com>
;; Version: 1.0
;; Package-Requires: (())
;; Keywords: python, import

autosquid

# OS specific support (must be 'true' or 'false').
cygwin=false
msys=false
darwin=false
case "`uname`" in
  CYGWIN* )
    cygwin=true
    ;;
  Darwin* )
    darwin=true

autosquid

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

autosquid

FROM ubuntu:16.04
MAINTAINER autosuqid <justin.seeley.cn@gmail.com>

RUN echo "deb http://ftp.sjtu.edu.cn/ubuntu/ trusty main restricted universe multiverse" > /etc/apt/sources.list && \
  echo "deb http://ftp.sjtu.edu.cn/ubuntu/ trusty-security main restricted universe multiverse" >> /etc/apt/sources.list && \
  echo "deb http://ftp.sjtu.edu.cn/ubuntu/ trusty-updates main restricted universe multiverse" >> /etc/apt/sources.list && \
  echo "deb http://ftp.sjtu.edu.cn/ubuntu/ trusty-proposed main restricted universe multiverse" >> /etc/apt/sources.list && \
  echo "deb http://ftp.sjtu.edu.cn/ubuntu/ trusty-backports main restricted universe multiverse" >> /etc/apt/sources.list && \
  echo "deb-src http://ftp.sjtu.edu.cn/ubuntu/ trusty main restricted universe multiverse" >> /etc/apt/sources.list && \
  echo "deb-src http://ftp.sjtu.edu.cn/ubuntu/ trusty-security main restricted universe multiverse" >> /etc/apt/sources.list && \

autosquid

import os
import shutil
import click


@click.group()
def cli():
    pass

def isfmt(f):

autosquid

Python version of the MATLAB code in this Stack Overflow post: http://stackoverflow.com/a/18648210/97160

The example shows how to determine the best-fit plane/surface (1st or higher order polynomial) over a set of three-dimensional points.

Implemented in Python + NumPy + SciPy + matplotlib.

autosquid

conda install pyqt=4
conda install -c https://conda.binstar.org/menpo opencv

autosquid

autosquid

# from: http://blender.stackexchange.com/questions/40650/blender-camera-from-3x4-matrix?rq=1
# And: http://blender.stackexchange.com/questions/38009/3x4-camera-matrix-from-blender-camera


# Input: P 3x4 numpy matrix
# Output: K, R, T such that P = K*[R | T], det(R) positive and K has positive diagonal
#
# Reference implementations: 
#   - Oxford's visual geometry group matlab toolbox 
#   - Scilab Image Processing toolbox

autosquid

%typemap(argout) std::vector<tex::TextureView>* {
/* { the last parameter is "whether python own the object behind the pointer" */
/* in this case: $1 is points to `temp`, managed by vector, so python does not own it */
/* to return something python own, we need to `new` a object */
/* so instead of the following */
/* $result = swig::from_ptr($1, 1); */
/* we use: }*/
     $result = swig::from(*$1);
}