Seagor

#!/bin/sh
"exec" "twxec" "-e" "filter_stream()" "$0" "$@"

import oauth2 as oauth
from trickle import twitter as tw

{{docstring "Make sure you have registered an application with Twitter in order to obtain your credentials. Once you have them, start streaming tweets using one of the filtering parameteres below"}}

app_key = {{string Twitter_App_Key}}
app_secret = {{string Twitter_App_Secret}}

Seagor

#!/bin/sh
"exec" "twxec" "-e" "filter_stream()" "$0" "$@"

import oauth2 as oauth
from trickle import twitter as tw

{{docstring "Make sure you have registered an application with Twitter in order to obtain your credentials. Once you have them, start streaming tweets using one of the filtering parameteres below"}}

app_key = {{string Twitter_App_Key}}
app_secret = {{string Twitter_App_Secret}}

Seagor

import pandas as pd

areas = []
for i, img in enumerate(found_objects):
    for r, reg in enumerate(img):
        for cnt in reg['contours']:
            areas.append((cv2.contourArea(cnt), r, i))
            
df = pd.DataFrame(data = areas, columns=['area', 'dock', 'image'])

Seagor

import cv2
from skimage.morphology import binary_opening

import pandas as pd
import matplotlib.pyplot as plt
import matplotlib
matplotlib.style.use('ggplot')
%matplotlib inline

Seagor

normalize = lambda x: (255 / (x.max() - x.min())) * (x - x.min())
smooth = lambda x: ndimage.convolve(x, np.ones([3,3])/9)

def threshold_mask(img, threshold=150):
    gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
    mask = np.ones(gray.shape).astype(np.uint8)
    mask[gray < threshold] = 0
    return mask

def scanline_mask(imask):

Seagor

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()

Seagor

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

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

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

import cv2
import numpy as np
%matplotlib inline
import matplotlib.pyplot as plt


def buffer_coastline(img, threshold=135):
    arr = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
    mask = np.ndarray(arr.shape + (3,)).astype(np.uint8)
    below = arr < threshold