valgur

from pathlib import Path
from osgeo import gdal, osr

# Adapted from https://svn.osgeo.org/gdal/trunk/autotest/alg/warp.py
def warp_with_gcps(input_path, output_path, gcps, gcp_epsg=3301, output_epsg=3301):
    # Open the source dataset and add GCPs to it
    src_ds = gdal.OpenShared(str(input_path), gdal.GA_ReadOnly)
    gcp_srs = osr.SpatialReference()
    gcp_srs.ImportFromEPSG(gcp_epsg)
    gcp_crs_wkt = gcp_srs.ExportToWkt()

mbejda

graydon

# extracted from http//www.naturalearthdata.com/download/110m/cultural/ne_110m_admin_0_countries.zip
# under public domain terms

country_bounding_boxes = {
    'AF': ('Afghanistan', (60.5284298033, 29.318572496, 75.1580277851, 38.4862816432)),
    'AO': ('Angola', (11.6400960629, -17.9306364885, 24.0799052263, -4.43802336998)),
    'AL': ('Albania', (19.3044861183, 39.624997667, 21.0200403175, 42.6882473822)),
    'AE': ('United Arab Emirates', (51.5795186705, 22.4969475367, 56.3968473651, 26.055464179)),
    'AR': ('Argentina', (-73.4154357571, -55.25, -53.628348965, -21.8323104794)),
    'AM': ('Armenia', (43.5827458026, 38.7412014837, 46.5057198423, 41.2481285671)),

marvin

import socket

HOST = 'localhost'
PORT = 9876
ADDR = (HOST,PORT)
BUFSIZE = 4096
videofile = "videos/royalty-free_footage_wien_18_640x360.mp4"

bytes = open(videofile).read()

jgomezdans

from osgeo import gdal
from osgeo import osr
import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.basemap import Basemap


def reproject_dataset ( dataset, \
    pixel_spacing=0.463/100., \
    wkt_from="+proj=sinu +R=6371007.181 +nadgrids=@null +wktext", epsg_to=4326 ):

aheckmann

/**
 * Module dependencies
 */

var express = require('express');
var fs = require('fs');
var mongoose = require('mongoose');
var Schema = mongoose.Schema;

// img path

alextp

import numpy as np

def symdirichlet(alpha, n):
    v = np.zeros(n)+alpha
    return np.random.dirichlet(v)


def exp_digamma(x):
    if x < 0.1:
        return x/100