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tmux cheatsheet

As configured in my dotfiles.

start new:

tmux

start new with session name:

@waylan
waylan / subprocess_pipe.md
Created April 10, 2012 19:12
Writing to a python subprocess pipe

Here's a few things I tried to write output to a python subprocess pipe.

from subprocess import Popen, PIPE

p = Popen('less', stdin=PIPE)
for x in xrange(100):
    p.communicate('Line number %d.\n' % x)
@MohamedAlaa
MohamedAlaa / tmux-cheatsheet.markdown
Last active July 22, 2024 17:28
tmux shortcuts & cheatsheet

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname
@pkuczynski
pkuczynski / parse_yaml.sh
Last active July 9, 2024 04:42
Read YAML file from Bash script
#!/bin/sh
parse_yaml() {
local prefix=$2
local s='[[:space:]]*' w='[a-zA-Z0-9_]*' fs=$(echo @|tr @ '\034')
sed -ne "s|^\($s\)\($w\)$s:$s\"\(.*\)\"$s\$|\1$fs\2$fs\3|p" \
-e "s|^\($s\)\($w\)$s:$s\(.*\)$s\$|\1$fs\2$fs\3|p" $1 |
awk -F$fs '{
indent = length($1)/2;
vname[indent] = $2;
for (i in vname) {if (i > indent) {delete vname[i]}}
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])
@lexruee
lexruee / bluetooth raspberry-pi
Created January 22, 2015 05:12
install bluetooth and pybluez
sudo apt-get update
sudo apt-get install python-pip python-dev ipython
sudo apt-get install bluetooth libbluetooth-dev
sudo pip install pybluez
import tensorflow as tf
from tensorflow.python.framework import ops
import numpy as np
# Define custom py_func which takes also a grad op as argument:
def py_func(func, inp, Tout, stateful=True, name=None, grad=None):
# Need to generate a unique name to avoid duplicates:
rnd_name = 'PyFuncGrad' + str(np.random.randint(0, 1E+8))
@j-min
j-min / test_single_gpu.py
Created November 6, 2016 13:51
TensorFlow single GPU example
from __future__ import print_function
'''
Basic Multi GPU computation example using TensorFlow library.
Author: Aymeric Damien
Project: https://github.com/aymericdamien/TensorFlow-Examples/
'''
'''
This tutorial requires your machine to have 1 GPU
"/cpu:0": The CPU of your machine.
@kylehounslow
kylehounslow / client.py
Last active April 23, 2024 10:58
Send and receive images using Flask, Numpy and OpenCV
from __future__ import print_function
import requests
import json
import cv2
addr = 'http://localhost:5000'
test_url = addr + '/api/test'
# prepare headers for http request
content_type = 'image/jpeg'
@kingspp
kingspp / tensorflow_custom_operation_gradient.py
Last active March 22, 2020 00:15
Custom Operations with Gradients in Tensorflow using PyFunc
# -*- coding: utf-8 -*-
"""
| **@created on:** 11/05/17,
| **@author:** Prathyush SP,
| **@version:** v0.0.1
|
| **Description:**
| DL Module Tests
| **Sphinx Documentation Status:** Complete
|