indirivacua

// ==UserScript==
// @name         Overleaf Editor Enhancer
// @namespace    https://gist.github.com/indirivacua/1b9c878c5b7e3487be7ca5fb384ff286
// @version      0.1
// @description  This script aims to improve productivity and user experience on Overleaf LaTeX editor.
// @author       indirivacua
// @match        https://*.overleaf.com/project/*
// @icon         https://images.ctfassets.net/nrgyaltdicpt/h9dpHuVys19B1sOAWvbP6/5f8d4c6d051f63e4ba450befd56f9189/ologo_square_colour_light_bg.svg
// @grant        none
// @license      MIT

trusktr

blah

oeway

import numpy as np
import scipy
import scipy.ndimage
from scipy.ndimage.filters import gaussian_filter
from scipy.ndimage.interpolation import map_coordinates
import collections
from PIL import Image
import numbers

__author__ = "Wei OUYANG"

ksopyla

# This is shorthened version of blog post 
#  http://ksopyla.com/2017/02/tensorflow-gpu-virtualenv-python3/

# update packages
sudo apt-get update
sudo apt-get upgrade

#Add the ppa repo for NVIDIA graphics driver
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt-get update

deboc

# Adapted the following lib/datasets/inria.py for py-faster-rcnn
# https://github.com/zeyuanxy/fast-rcnn/blob/master/lib/datasets/inria.py

# --------------------------------------------------------
# Fast R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick
# --------------------------------------------------------

psycharo-zz

def read_seq(path):
    
    def read_header(ifile):
        feed = ifile.read(4)
        norpix = ifile.read(24)
        version = struct.unpack('@i', ifile.read(4))
        length = struct.unpack('@i', ifile.read(4))
        assert(length != 1024)
        descr = ifile.read(512)
        params = [struct.unpack('@i', ifile.read(4))[0] for i in range(0,9)]