Created
April 30, 2015 16:21
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#!/usr/bin/env python | |
from sklearn import decomposition | |
import rasterio as rio | |
import numpy as np | |
import click, json, os | |
import urllib | |
@click.group() | |
def cli(): | |
pass | |
@click.command(short_help="HELP") | |
@click.argument('bounds', default='-', required=False) | |
@click.option('--stride', default=1) | |
def loaddata(bounds, stride): | |
"""Does something""" | |
try: | |
inBounds = click.open_file(bounds).readlines() | |
except IOError: | |
inBounds = [bounds] | |
bounds = json.loads(inBounds[0]) | |
click.echo(bounds['bbox']) | |
# with rio.drivers(): | |
# with rio.open('src_path', 'r') as src: | |
cli.add_command(loaddata) | |
@click.command(short_help="HELP") | |
@click.argument('url') | |
@click.argument('z') | |
@click.argument('x') | |
@click.argument('y') | |
@click.argument('save_dir') | |
def loadimage(url, z, x, y, save_dir): | |
"""Does something""" | |
getUrl = url % (z, x, y,) | |
fileext = getUrl.split('.')[-3][0:3] | |
saveFile = save_dir + 'tile-%s-%s-%s.%s' % (x, y, z, fileext) | |
urllib.urlretrieve (getUrl, saveFile) | |
cli.add_command(loadimage) | |
@click.command() | |
@click.argument('filedir', type=click.Path(exists=True)) | |
def anaimage(filedir): | |
import matplotlib.pyplot as plot | |
from skimage.filters import roberts | |
files = os.listdir(filedir) | |
ctr = 1 | |
fig = plot.figure(figsize=(50,50)) | |
for f in files: | |
fileinfo = f.split('-') | |
if len(fileinfo[-1].split('.')) != 0 and fileinfo[-1].split('.')[-1] == 'png': | |
with rio.drivers(): | |
with rio.open(os.path.join(filedir, f), 'r') as src: | |
edge_roberts = roberts(src.read(1)) | |
ax = fig.add_subplot(10,22,ctr) | |
# print ax | |
ax.imshow(edge_roberts) | |
ctr +=1 | |
ax2 = fig.add_subplot(10,22,ctr) | |
ctr+=1 | |
ax2.imshow(src.read(1)) | |
fig.savefig('/Users/dnomadb/Documents/test.png') | |
# yield [int(fileinfo[1]),int(fileinfo[2]),np.mean(edge_roberts)] | |
cli.add_command(anaimage) | |
@click.command() | |
@click.argument('filedir', type=click.Path(exists=True)) | |
@click.argument('comparedir', type=click.Path(exists=True)) | |
def compimage(filedir, comparedir): | |
import matplotlib.pyplot as plot | |
from skimage.filters import roberts | |
from scipy.ndimage.filters import minimum_filter | |
files = os.listdir(filedir) | |
cfiles = os.listdir(comparedir) | |
# ctr = 1 | |
# fig = plot.figure(figsize=(50,50)) | |
for f in files: | |
fileinfo = f.split('-') | |
if len(fileinfo[-1].split('.')) != 0 and fileinfo[-1].split('.')[-1] == 'png': | |
with rio.drivers(): | |
with rio.open(os.path.join(filedir, f), 'r') as src: | |
greyimage_before = (src.read(1).astype(np.uint16) + src.read(2).astype(np.uint16) + src.read(3).astype(np.uint16)) | |
edge_roberts_before = roberts(greyimage_before) | |
with rio.open(os.path.join(comparedir, f), 'r') as src: | |
greyimage_after = (src.read(1).astype(np.uint16) + src.read(2).astype(np.uint16) + src.read(3).astype(np.uint16)) | |
edge_roberts_after = roberts(greyimage_after) | |
RB = np.dstack([edge_roberts_after.ravel(), edge_roberts_before.ravel()])[0] | |
pca = decomposition.PCA(n_components=2, whiten=False) | |
pca.fit(RB) | |
X = pca.transform(RB) | |
fig = plot.figure(figsize=(20,10)) | |
before = fig.add_subplot(131) | |
before.imshow(greyimage_after,cmap='Greys_r') | |
after = fig.add_subplot(132) | |
after.imshow(greyimage_before, cmap='Greys_r') | |
pcplo = X[:,1].reshape(512,512) | |
pcperc = np.percentile(pcplo,5) | |
pcplo[np.where(pcplo > pcperc)] = pcperc | |
pcplo = minimum_filter(pcplo, 3) | |
pc2 = fig.add_subplot(133) | |
pc2.imshow(pcplo, cmap='YlGnBu') | |
fig.savefig(os.path.join('/Users/dnomadb/Documents/pcomp', f)) | |
cli.add_command(compimage) | |
if __name__ == '__main__': | |
cli() |
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