hagerty

# The NN
with tf.device(gpu):
    # Input is has numberOfBands for the pre-processed image and numberOfBands for the original image
    xy = tf.placeholder(tf.float32, shape=[None, FLAGS.ws, FLAGS.ws, 2*numberOfBands])
    with tf.name_scope("split") as scope:
        x = tf.slice(xy, [0,0,0,0], [-1,-1,-1,numberOfBands])   # low res image
        y = tf.slice(xy, [0,0,0,numberOfBands], [-1,-1,-1,-1])  # high res image

    with tf.name_scope("initial_costs") as scope:
        # used as a measure of improvement not for optimization

hagerty

Copyright (c) 2016 In-Q-Tel

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHE

hagerty

def FixGeoJSON( fn ):
    buf_dist = 0.0
    dst_layername = "BuildingID"
    drv = ogr.GetDriverByName("geojson")
    dst_ds = drv.Open ( './geojson.full/' + fn + dst_layername + ".geojson")
    dst_layer = dst_ds.GetLayer(0)
    if os.path.exists('./geojson.full/buffer' + fn + dst_layername + ".geojson"):
        drv.DeleteDataSource('./geojson.full/buffer' + fn + dst_layername + ".geojson")
    adst_ds = drv.CreateDataSource ( './geojson.full/buffer' + fn + dst_layername + ".geojson")

hagerty

def GrowCluster ( intensity, cluster, mask, k ):
    newcluster = cluster
    #find boundary of current cluster
    indexes = np.nonzero( np.logical_and(mask, (np.logical_not(newcluster))))
    while indexes :
        growingboundary = 0 * cluster
        for kk in range ( len (indexes[0] ) ):
            i = indexes[0][kk]
            j = indexes[1][kk]
            isConnected = False

hagerty

with tf.device(gpu):
# Generator
    x8 = tf.placeholder(tf.float32, shape=[None, FLAGS.ws, FLAGS.ws, 8])
    x3 = tf.placeholder(tf.float32, shape=[None, scale * FLAGS.ws, scale * FLAGS.ws, 3])
    label_distance = tf.placeholder(tf.float32, shape=[None, FLAGS.ws, FLAGS.ws, 1])
    for i in range(layers):
        alpha[i] = tf.Variable(0.9, name='alpha_' + str(i))
        beta[i] = tf.maximum( 0.0 , tf.minimum ( 1.0 , alpha[i] ), name='beta_'+str(i))
        bi[i] = tf.Variable(tf.constant(0.0,shape=[FLAGS.filters]), name='bi_'+str(i))
        bo[i] = tf.Variable(tf.constant(0.0,shape=[FLAGS.filters]), name='bo_'+str(i))

hagerty

def CreateGeoJSON ( fn, cluster, geom, proj ):
    memdrv = gdal.GetDriverByName ( 'MEM')
    src_ds = memdrv.Create('',cluster.shape[1],cluster.shape[0],1)
    src_ds.SetGeoTransform(geom)
    src_ds.SetProjection(proj)
    band = src_ds.GetRasterBand(1)
    band.WriteArray(cluster)
    dst_layername = "BuildingID"
    drv = ogr.GetDriverByName("geojson")

hagerty

with tf.Session(config=tf.ConfigProto(log_device_placement=True)) as sess:
    sess.run(ginit)
    global_step = 0
    for i in range(layers):
        for step in range(FLAGS.max_layer_steps):
            global_step += 1
            random_input8, random_input3, random_label = GetRandomInput( labels, im_raw8, im_raw3, FLAGS.batch_size, FLAGS.ws, scale)
            sess.run(label_optimizer[i],feed_dict={x8: random_input8, x3: random_input3, label_distance: random_label})
        for step in range(5*FLAGS.max_layer_steps):
            global_step += 1

hagerty

import json
from shapely.geometry import Polygon, shape, Point
import gdal
import numpy as np
import sys
fn = sys.argv[1]
path = sys.argv[2]

def Pixel2World ( geoMatrix, i , j ):
    ulX = geoMatrix[0]

hagerty

#Generator
with tf.device(gpu):
    x8 = tf.placeholder(tf.float32, shape=[None, FLAGS.ws, FLAGS.ws, 8]) # 8-band input
    x3 = tf.placeholder(tf.float32, shape=[None, scale * FLAGS.ws, scale * FLAGS.ws, 3]) # 3-band ipnput
    label_distance = tf.placeholder(tf.float32, shape=[None, FLAGS.ws, FLAGS.ws, 1]) # distance transform as a label

    for i in range(layers):
        alpha[i] = tf.Variable(0.9, name='alpha_' + str(i))
        beta[i] = tf.maximum( 0.0 , tf.minimum ( 1.0 , alpha[i] ), name='beta_'+str(i))
        bi[i] = tf.Variable(tf.constant(0.0,shape=[FLAGS.filters]), name='bi_'+str(i))