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Sean Gorman Seagor

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Seagor / Random Integer Source
Created July 17, 2015 14:24
#!/bin/sh
"exec" "twxec" "-e" "rand_ints()" "$0" "$@"
import random
import gevent
def rand_ints():
while True:
value = random.randint({{number minval}}, {{number maxval}} + 1)
@Seagor
Seagor / webmap.json
Created November 18, 2015 16:36
Census Blocks
{
"item": {
"title": "New Map",
"snippet": "Census Blocks",
"extent": [
[
-124.86249999996639,
-42.233197141816774
],
[
@Seagor
Seagor / index.html
Last active December 1, 2015 14:53
Twitter Data Example
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<link rel="stylesheet" href=
"http://js.arcgis.com/3.14/esri/css/esri.css">
<link rel="stylesheet" type="text/css" href=
"https://rawgit.com/benheb/legend/master/legend.css">
@Seagor
Seagor / Unique Image Timeline Visualization.py
Created April 6, 2016 19:57
%matplotlib inline
import matplotlib.pyplot as plt
from datetime import timedelta
from bson import ObjectId
import seaborn as sns
sns.set_style('whitegrid')
from itertools import cycle
cyclic_palette = cycle(sns.color_palette())
values = []
X = [ObjectId(oid).generation_time for oid, rec in data][:40]
@Seagor
Seagor / object detection ski area.py
Created April 6, 2016 20:10
import base64 as b64
import numpy as np
import cv2
import matplotlib.pyplot as plt
from ipywidgets import interact, interactive, fixed
from IPython.display import Image, display
import ipywidgets as widgets
def convert_media_to_image(media):
arr = np.asarray(bytearray(b64.b64decode(media["__data__"])), dtype=np.uint8)
@Seagor
Seagor / image_scraper.py
Last active April 7, 2016 02:30
A scraper for fetching images from a webcam
import gevent
import urllib2
image_url = "http://manage.hdrelay.com/snapshot/ee489921-1004-45df-9634-0fa96543dabf?size=710x425&f=30000"
polling_interval = "31"
def stream():
while True:
msg = {"media_url": image_url}
msg["polling_interval"] = float(polling_interval)
@Seagor
Seagor / satellite crop area.py
Created April 25, 2016 20:25
import os
import rasterio
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
def render_array(arr1, arr2=None, width=7, height=7, cmap=plt.cm.jet):
if arr2 is None:
fig, ax = plt.subplots(1, figsize=(width,height), facecolor='white')
@Seagor
Seagor / planet labs metadata source.py
Created April 25, 2016 20:26
import gevent
from planet import api
import geojson
bbox = {{ string bbox }}
minx, miny, maxx, maxy = None, None, None, None
if bbox is not None:
minx, miny, maxx, maxy = bbox.split(',')
if minx is not None:
@Seagor
Seagor / planet labs geotiff downloader.py
Created April 25, 2016 20:29
from planet import api
import sys, os
import urllib2, httplib
%matplotlib inline
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
class NoRedirection(urllib2.HTTPErrorProcessor):
def http_response(self, request, response):
@Seagor
Seagor / planet labs pier-boat cropping.py
Created April 25, 2016 20:30
import numpy as np
import cv2
from skimage import measure
from skimage.measure import regionprops
from skimage.morphology import skeletonize, convex_hull_image, medial_axis, opening
from scipy import ndimage
def seg_buffer(im, dist=25):
mask = im.copy()