andreyvit

tmux cheat sheet

(C-x means ctrl+x, M-x means alt+x)

Prefix key

The default prefix is C-b. If you (or your muscle memory) prefer C-a, you need to add this to ~/.tmux.conf:

remap prefix to Control + a

MohamedAlaa

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

joelverhagen

#!/bin/sh

# recursively removes all .pyc files and __pycache__ directories in the current
# directory

find . | \
  grep -E "(__pycache__|\.pyc$)" | \
  xargs rm -rf

# or, for copy-pasting:

abidrahmank

import numpy as np
import cv2
import time,sys,os

ply_header = '''ply
format ascii 1.0
element vertex %(vert_num)d
property float x
property float y
property float z

tonyseek

Run with Python:

pip-2.7 install cffi
PYTHON=python2.7 sh go.sh

Run with PyPy:

pip-pypy install cffi
PYTHON=pypy sh go.sh

jensenb

import cv2
import numpy as np


def in_front_of_both_cameras(first_points, second_points, rot, trans):
    # check if the point correspondences are in front of both images
    rot_inv = rot
    for first, second in zip(first_points, second_points):
        first_z = np.dot(rot[0, :] - second[0]*rot[2, :], trans) / np.dot(rot[0, :] - second[0]*rot[2, :], second)
        first_3d_point = np.array([first[0] * first_z, second[0] * first_z, first_z])

JesseBuesking

---
version: 1
disable_existing_loggers: False
formatters:
    simple:
        format: "%(name)-20s%(levelname)-8s%(message)s"
handlers:
    console:
        class: logging.StreamHandler
        level: DEBUG

bartvm

A comparison of Theano with other deep learning frameworks, highlighting a series of low-level design choices in no particular order.

Overview

• Differentiation

Differentiation

Symbolic: Theano, CGT; Automatic: Torch, MXNet

Symbolic and automatic differentiation are often confused or used interchangeably, although their implementations are significantly different.

wllhf

""" 
Python implementation of the color map function for the PASCAL VOC data set. 
Official Matlab version can be found in the PASCAL VOC devkit 
http://host.robots.ox.ac.uk/pascal/VOC/voc2012/index.html#devkit
"""
import numpy as np
from skimage.io import imshow
import matplotlib.pyplot as plt

def color_map(N=256, normalized=False):

d1ff

#include <iostream>

#include <boost/filesystem.hpp>
#include <boost/python.hpp>
#include <opencv2/cudaarithm.hpp>
#include <opencv2/cudaimgproc.hpp>

#include "pytorch_cpp_interop.h"

namespace py = boost::python;