روزنامچہ: h4ck3rm1k3

ForestWalker.py

ایہہ ؜17؍؜August ؜2009ء‬ English وچ «h4ck3rm1k3» لیکھ چھپیا گیا سی۔

I have a hacked version of lakewalker.py for osm 0.6
it does forests.
source :
http://www.pastebin.ca/1532240

Parameters :
python ./lakewalker.py --lat 42.4052 --lon 20.4782 --threshold 80 -o forest.osm

I used layer 1 of landsat (green)
"" 2 0.52-0.60 µm Green ""
ref : http://landsat.gsfc.nasa.gov/education/compositor/index.html

you can see the forest here :
osm.org/browse/way/39207413

Discussion

ایہہ ؜17؍؜August ؜2009ء ‪07:26‬ تے «h4ck3rm1k3» ٹپݨی کیتی گئی سی۔

#!/usr/bin/python

# Forestwalker 0.0001.

# 2007-07-09: Initial public release (v0.2) by Dshpak

# 2007-07-10: v0.3: Added support for OSM input files. Also reduced start_radius_big, and fixed a division-by-zero error in the degenerate case of point_line_distance().

# 2007-08-04: Added experimental non-recursive Douglas-Peucker algorithm (--dp-nr). Added --startdir option.

# 2007-08-06: v0.4: Bounding box support (--left, --right, --top, and --bottom), as well as new --josm mode for JOSM integration. This isn't perfect yet, but it's a good start.

# 2009-08-17 James Michael DuPont h4ck3rm1k3@flossk.org working

"""Lakewalker II - A tool to automatically download and trace Landsat imagery, to generate OpenStreetMap data.

Requires the Python Imaging Library, available from http://www.pythonware.com/products/pil/"""

version="Lakewalker II v0.6"

# TODO:

# - Accept threshold tags in OSM input files.

# - Command line options:

#   - direction (deosil/widdershins)

#   - layer to use (monochrome only?)

#   - additional tags for the way

#   - Landsat download retries (count and delay)

#   - radii for loop detection

#   - fname for z12 tile output (list or script)

#   - path to tilesGen for z12 script output

#   - debug mode (extra tags on nodes) (make this non-uploadable?)

# - The "got stuck" message should output coords

# - Better "got stuck" detection (detect mini loops)

# - Offset nodes outwards by a half-pixel or so, to prevent duplicate segments

# - Automatic threshold detection

# - (Correct/tested) non-recursive DP simplification

#

#

# For JOSM integration:

# - Add a --tmpdir option that controls the location of the Landsat

#   tiles, the results text file, and the lake.osm file (unless it's

#   got an absolute path

# - Add a --nocache option that keeps WMS tiles in memory but not on disk.

import math

import os

import urllib

from PIL import Image

import OSMReader

import time

import optparse

options = None

start_radius_big = 0.001

start_radius_small = 0.0002

dirs = ((1, 0), (1, 1), (0, 1), (-1, 1), (-1, 0), (-1, -1), (0, -1), (1, -1))

dirnames = ["east", "northeast", "north", "northwest", "west", "southwest", "south", "southeast"]

dirabbrevs = ["e", "ne", "n", "nw", "w", "sw", "s", "se"]

class FatalError(Exception):

    pass

def message(s):

    if options.josm_mode:

        print "m %s" % s

    else:

        print s

        

def error(s):

    if options.josm_mode:

        print "e %s" % s

    else:

        print s

        

class BBox:

    def __init__(self, top = 90, left = -180, bottom = -90, right = 180):

        self.left = left

        self.right = right

        self.top = top

        self.bottom = bottom

    def contains(self, loc):

        (lat, lon) = loc

        if lat > self.top or lat < self.bottom:

            return False

        if (self.right - self.left) % 360 == 0:

            return True

        return (lon - self.left) % 360 <= (self.right - self.left) % 360

def download_landsat(c1, c2, width, height, fname):

    layer = "global_mosaic_base"

#    style = "IR1"

    style = "IR2"

    (min_lat, min_lon) = c1

    (max_lat, max_lon) = c2

    

    message("Downloading Landsat tile for (%.6f,%.6f)-(%.6f,%.6f)." % (min_lat, min_lon, max_lat, max_lon))

    url = "http://onearth.jpl.nasa.gov/wms.cgi?request=GetMap&layers=%s&styles=%s&srs=EPSG:4326&format=image/png&bbox=%0.6f,%0.6f,%0.6f,%0.6f&width=%d&height=%d" % (layer, style, min_lon, min_lat, max_lon, max_lat, width, height)

    print url

    try:

        urllib.urlretrieve(url, fname)

    except IOError, e:

        raise FatalError("Error downloading tile: %s" % e.strerror)

    if not os.path.exists(fname):

        raise FatalError("Error: Could not retreive url %s" % url)

    print "Got it %s" % fname

def xy_to_geo(xy):

    (x, y) = xy

    (lat, lon) = (y / float(options.resolution), x / float(options.resolution))

    return (lat, lon)

def geo_to_xy(geo):

    (lat, lon) = geo

    coord = lambda L: math.floor(L * options.resolution + 0.5)

    (x, y) = (coord(lon), coord(lat))

    return (x, y)

class WMSManager:

    def __init__(self):

        self.images = {}

    def get_tile(self, xy):

        fail_count = 0

        im = None

        while im is None and fail_count < 4:

            (x, y) = xy

            bottom_left_xy = (int(math.floor(x / options.tilesize)) * options.tilesize, int(math.floor(y / options.tilesize)) * options.tilesize)

            top_right_xy = (bottom_left_xy[0] + options.tilesize, bottom_left_xy[1] + options.tilesize)

            fname = "landsat_%d_%d_xy_%d_%d.png" % (options.resolution, options.tilesize, bottom_left_xy[0], bottom_left_xy[1])

            im = self.images.get(fname, None)

            if im is None:

                if not os.path.exists(fname):

                    bottom_left = xy_to_geo(bottom_left_xy)

                    top_right = xy_to_geo(top_right_xy)

                    download_landsat(bottom_left, top_right, options.tilesize, options.tilesize, fname)

                if not os.path.exists(fname):

                    raise FatalError("Error: Could not get image file %s" % fname)

                try:

                    im = Image.open(fname)

                    self.images[fname] = im

                    message("Using imagery in %s for %s." % (fname, xy_to_geo(xy)))

                except IOError:

                    error("Download was corrupt...Deleting %s..." % fname)

                    #os.unlink(fname)

                    im = None

                if im is None:

                    message("Sleeping and retrying download...")

                    time.sleep(4)

                    fail_count = fail_count + 1

        if im is None:

            #if os.path.exists(fname):

            #    print open(fname).readlines()

            raise FatalError("Couldn't get image file %s." % fname)

        #return (im, top_left_xy)

        return (im, bottom_left_xy)

    

    def get_pixel(self, xy):

        (x, y) = xy

        (tile, (tx, ty)) = self.get_tile(xy)

        tile_xy = (x - tx, (options.tilesize - 1) - (y - ty))

        print "%s maps to %s" % (xy, tile_xy)

        return tile.getpixel(tile_xy)

def trace_lake(loc, threshold, start_dir, bbox):

    wms = WMSManager()

    xy = geo_to_xy(loc)

    nodelist = []

    message("Starting coordinate: %.4f, %.4f" % loc)

    message("Starting position: %d, %d" % xy)

    if not bbox.contains(loc):

        raise FatalError("Error: Starting location is outside bounding box!")

    while True:

        loc = xy_to_geo(xy)

        if not bbox.contains(loc):

            break

        

        v = wms.get_pixel(xy)

        if v > threshold:

            break

        xy = (xy[0] + dirs[start_dir][0], xy[1] + dirs[start_dir][1])

    start_xy = xy

    start_loc = xy_to_geo(xy)

    print xy 

    message("Found shore at  lat %.4f lon %.4f" % start_loc)

    #dirs = ((1, 0), (1, -1), (0, -1), (-1, -1), (-1, 0), (-1, 1), (0, 1), (1, 1))

    last_dir = start_dir

    detect_loop = False

    

    for i in xrange(options.maxnodes):

        if i % 250 == 0:

            if i > 0:

                message("%s nodes so far..." % i)

        for d in xrange(1, len(dirs)):

            new_dir = dirs[(last_dir + d + 4) % 8]

            test_xy = (xy[0] + new_dir[0], xy[1] + new_dir[1])

            test_loc = xy_to_geo(test_xy)

            if not bbox.contains(test_loc):

                break

            

            v = wms.get_pixel(test_xy)

            print "%s: %s: %s" % (new_dir, test_xy, v)

            if v > threshold:

                break

        if d == 8:

            error("Got stuck.")

            break

        print "Moving to %s, direction %s (was %s)" % (test_xy, new_dir, dirs[last_dir])

        last_dir = (last_dir + d + 4) % 8

        xy = test_xy

        if xy == start_xy:

            break

        loc = xy_to_geo(xy)

        nodelist.append(loc)

        

        start_proximity = (loc[0] - start_loc[0]) ** 2 + (loc[1] - start_loc[1]) ** 2

        if detect_loop:

            if start_proximity < start_radius_small ** 2:

                break

        else:

            if start_proximity > start_radius_big ** 2:

                detect_loop = True

    return nodelist

def vertex_reduce(nodes, proximity):

    test_v = nodes[0]

    reduced_nodes = [test_v]

    prox_sq = proximity ** 2

    for v in nodes:

        if (v[0] - test_v[0]) ** 2 + (v[1] - test_v[1]) ** 2 > prox_sq:

            reduced_nodes.append(v)

            test_v = v

    return reduced_nodes

def point_line_distance(p0, p1, p2):

    ((x0, y0), (x1, y1), (x2, y2)) = (p0, p1, p2)

    if x2 == x1 and y2 == y1:

        # Degenerate cast: the "line" is actually a point.

        return math.sqrt((x1-x0)**2 + (y1-y0)**2)

    else:

        # I don't understand this at all. Thank you, Mathworld.

        # http://mathworld.wolfram.com/Point-LineDistance2-Dimensional.html

        return abs((x2-x1)*(y1-y0) - (x1-x0)*(y2-y1)) / math.sqrt((x2-x1)**2 + (y2-y1)**2)

def douglas_peucker(nodes, epsilon):

    print "Running DP on %d nodes" % len(nodes)

    farthest_node = None

    farthest_dist = 0

    first = nodes[0]

    last = nodes[-1]

    for i in xrange(1, len(nodes) - 1):

        d = point_line_distance(nodes[i], first, last)

        if d > farthest_dist:

            farthest_dist = d

            farthest_node = i

    if farthest_dist > epsilon:

        seg_a = douglas_peucker(nodes[0:farthest_node+1], epsilon)

        seg_b = douglas_peucker(nodes[farthest_node:-1], epsilon)

        print "Minimized %d nodes to %d + %d nodes" % (len(nodes), len(seg_a), len(seg_b))

        nodes = seg_a[:-1] + seg_b

    else:

        return [nodes[0], nodes[-1]]

    return nodes

def dp_findpoint(nodes, start, end):

    farthest_node = None

    farthest_dist = 0

    print "dp_findpoint(nodes, %s, %s)" % (start, end)

    first = nodes[start]

    last = nodes[end]

    for i in xrange(start + 1, end):

        d = point_line_distance(nodes[i], first, last)

        if d > farthest_dist:

            farthest_dist = d

            farthest_node = i

    return (farthest_node, farthest_dist)

def douglas_peucker_nonrecursive(nodes, epsilon):

    print "Running DP on %d nodes" % len(nodes)

    command_stack = [(0, len(nodes) - 1)]

    result_stack = []

    while len(command_stack) > 0:

        cmd = command_stack.pop()

        if type(cmd) == tuple:

            (start, end) = cmd

            (node, dist) = dp_findpoint(nodes, start, end)

            if dist > epsilon:

                command_stack.append("+")

                command_stack.append((start, node))

                command_stack.append((node, end))

            else:

                result_stack.append((start, end))

        elif cmd == "+":

            first = result_stack.pop()

            second = result_stack.pop()

            if first[-1] == second[0]:

                result_stack.append(first + second[1:])

                print "Added %s and %s; result is %s" % (first, second, result_stack[-1])

            else:

                error("ERROR: Cannot connect nodestrings!")

                #print first

                #print second

                return

        else:

            error("ERROR: Can't understand command \"%s\"" % (cmd,))

            return

    if len(result_stack) == 1:

        return [nodes[x] for x in result_stack[0]]

    else:

        error("ERROR: Command stack is empty but result stack has %d nodes!" % len(result_stack))

        return

    farthest_node = None

    farthest_dist = 0

    first = nodes[0]

    last = nodes[-1]

    for i in xrange(1, len(nodes) - 1):

        d = point_line_distance(nodes[i], first, last)

        if d > farthest_dist:

            farthest_dist = d

            farthest_node = i

    if farthest_dist > epsilon:

        seg_a = douglas_peucker(nodes[0:farthest_node+1], epsilon)

        seg_b = douglas_peucker(nodes[farthest_node:-1], epsilon)

        print "Minimized %d nodes to %d + %d nodes" % (len(nodes), len(seg_a), len(seg_b))

        nodes = seg_a[:-1] + seg_b

    else:

        return [nodes[0], nodes[-1]]

    return nodes

def output_to_josm(lakelist):

    # Description of JOSM output format:

    # m text - Status message text, to be displayed in a display window

    # e text - Error message text

    # s nnn - Start full node list, nnn tracings following

    # t nnn - Start tracing node list, nnn nodes following (i.e. there will be one of these for each lake where multiple start points specified)

    # n lat lon - A node

    # x - End of data

    print "s %s" % len(lakelist)

    for nodelist in lakelist:

        print "t %s" % len(nodelist)

        for node in nodelist:

            print "n %.7f %.7f" % (node[0], node[1])

    print "x"

def write_osm(f, lakelist, waysize):

    f.write('')

    cur_id = -1

    way_count = 0

    for nodelist in lakelist:

        first_node_id = cur_id

        cur_way = []

        ways = [cur_way]

        for loc in nodelist:

            #f.write('  \n' % (cur_id, loc[0], loc[1], -cur_id, geo_to_xy(loc)[0], geo_to_xy(loc)[1]))

            f.write('' % (cur_id, loc[0], loc[1]))

            last_node_id = cur_id

            cur_id = cur_id - 1

        print "Nodes: %d, %d" % (first_node_id, last_node_id)

#        f.write('\n' %  cur_id)

#        first_segment_id = cur_id

#        for seg in xrange(first_node_id, last_node_id, -1):

#            f.write('' % ( seg))

            #

#            cur_id = cur_id - 1

#        f.write('' % (cur_id, last_node_id, first_node_id))

#        f.write('\n')

#        last_segment_id = cur_id

        cur_id = cur_id - 1

        print "Segments: %d, %d" % (first_node_id, last_node_id)

        

        for seg in xrange(first_node_id, last_node_id - 1, -1):

            if len(cur_way) >= waysize:

                cur_way = []

                ways.append(cur_way)

            cur_way.append(seg)

        for way in ways:

            f.write('\n' % cur_id)

            cur_id = cur_id - 1

            for seg in way:

                f.write('' % seg)

            f.write('' % first_node_id) # close it

            f.write('' % options.natural_type)

            f.write('')

            f.write('\n')

        way_count = way_count + len(ways)

    

    f.write('')

    message("Generated %d %s." % (way_count, ["way", "ways"][way_count > 0]))

def get_locs(infile):

    nodes = []

    segments = []

    ways = []

    reader = OSMReader.OSMReader()

    reader.nodeHandler = lambda x: nodes.append(x)

    reader.segmentHandler = lambda x: segments.append(x)

    reader.wayHandler = lambda x: ways.append(x)

    reader.run(file(infile))

    if len(segments) > 0 or len(ways) > 0:

        raise FatalError("Error: Input file must only contain nodes -- no segments or ways.")

    if len(nodes) == 0:

        raise FatalError("Error: No nodes found in input file.")

    return [((node.lat, node.lon), options.threshold) for node in nodes]

def main():

    parser = optparse.OptionParser(version=version)

    parser.add_option("--lat", type="float", metavar="LATITUDE", help="Starting latitude. Required, unless --infile is used..")

    parser.add_option("--lon", type="float", metavar="LONGITUDE", help="Starting longitude. Required, unless --infile is used.")

    parser.add_option("--startdir", type="string", default="east", metavar="DIR", help="Direction to travel from start position when seeking land. Defaults to \"east\".")

    parser.add_option("--infile", "-i", type="string", metavar="FILE", help="OSM file containing nodes representing starting points.")

    parser.add_option("--out", "-o", default="forest.osm", dest="outfile", metavar="FILE", help="Output filename. Defaults to forest.osm.")

    parser.add_option("--threshold", "-t", type="int", default="35", metavar="VALUE", help="Maximum gray value to accept as water (based on Landsat IR-1 data). Can be in the range 0-255. Defaults to 35.")

    parser.add_option("--maxnodes", type="int", default="50000", metavar="N", help="Maximum number of nodes to generate before bailing out. Defaults to 50000.")

    parser.add_option("--waylength", type="int", default=250, metavar="MAXLEN", help="Maximum nuber of nodes allowed in one way. Defaults to 250.")

    parser.add_option("--landsat-res", type="int", default=4000, dest="resolution", metavar="RES", help="Resolution of Landsat tiles, measured in pixels per degree. Defaults to 4000.")

    parser.add_option("--tilesize", type="int", default=2000, help="Size of one landsat tile, measured in pixels. Defaults to 2000.")

    parser.add_option("--no-dp", action="store_false", dest="use_dp", default=True, help="Disable Douglas-Peucker line simplification (not recommended)")

    parser.add_option("--dp-epsilon", type="float", metavar="EPSILON", default=0.0003, help="Accuracy of Douglas-Peucker line simplification, measured in degrees. Lower values give more nodes, and more accurate lines. Defaults to 0.0003.")

    parser.add_option("--dp-nr", action="store_true", dest="dp_nr", default=False, help="Use experimental non-recursive DP implementation")

    parser.add_option("--vr", action="store_true", dest="use_vr", default=False, help="Use vertex reduction before applying line simplification (off by default).")

    parser.add_option("--vr-epsilon", type="float", default=0.0005, metavar="RADIUS", help="Radius used for vertex reduction (measured in degrees). Defaults to 0.0005.")

#    parser.add_option("--water", action="store_const", const="water", dest="natural_type", default="coastline", help="Tag ways as natural=water instead of natural=coastline")

    parser.add_option("--forest", action="store_const", const="woords", dest="natural_type", default="forest", help="Tag ways as natural=woods instead of natural=forest")

    #options.natural_type

    parser.add_option("--left", type="float", metavar="LONGITUDE", default=-180, help="Left (west) longitude for bounding box")

    parser.add_option("--right", type="float", metavar="LONGITUDE", default=180, help="Right (east) longitude for bounding box")

    parser.add_option("--top", type="float", metavar="LATITUDE", default=90, help="Top (north) latitude for bounding box")

    parser.add_option("--bottom", type="float", metavar="LATITUDE", default=-90, help="Bottom (south) latitude for bounding box")

    parser.add_option("--josm", action="store_true", dest="josm_mode", default=False, help="Operate in JOSM plugin mode")

    global options # Ugly, I know...

    (options, args) = parser.parse_args()

    if len(args) > 0:

        parser.print_help()

        return

    (start_lat, start_lon, infile) = (options.lat, options.lon, options.infile)

    if (start_lat is None or start_lon is None) and infile is None:

        if not options.josm_mode:

            parser.print_help()

            print

        error("Error: you must specify a starting latitude and longitude.")

        return

    if infile is not None:

        if start_lat is not None or start_lon is not None:

            error("Error: you cannot use both --infile and --lat or --lon.")

            return

        try:

            locs = get_locs(infile)

            #print locs

        except FatalError, e:

            error("%s" % e)

            return

    else:

        locs = [((start_lat, start_lon), options.threshold)]

    dirname = options.startdir.lower()

    if dirname in dirnames:

        startdir = dirnames.index(dirname)

    elif dirname in dirabbrevs:

        startdir = dirabbrevs.index(dirname)

    else:

        error("Error: Can't understand starting direction \"%s\". Vaild options are %s." % (dirname, ", ".join(dirnames + dirabbrevs)))

        return

    message("Starting direction is %s." % dirnames[startdir])

    bbox = BBox(options.top, options.left, options.bottom, options.right)

    try:

        lakes = []

        for (loc, threshold) in locs:

            nodes = trace_lake(loc, threshold, startdir, bbox)

            message("%d nodes generated." % len(nodes))

            if len(nodes) > 0:

                if options.use_vr:

                    nodes = vertex_reduce(nodes, options.vr_epsilon)

                    message("After vertex reduction, %d nodes remain." % len(nodes))

                if options.use_dp:

                    try:

                        if options.dp_nr:

                            nodes = douglas_peucker_nonrecursive(nodes, options.dp_epsilon)

                            #print "Final result: %s" % (nodes,)

                        else:

                            nodes = douglas_peucker(nodes, options.dp_epsilon)

                        message("After Douglas-Peucker approximation, %d nodes remain." % len(nodes))

                    except FatalError, e:

                        raise e

                    except:

                        raise FatalError("Line simplification failed -- there are probably too many nodes.")

                lakes.append(nodes)

        if options.josm_mode:

            output_to_josm(lakes)

        else:

            message("Writing to %s" % options.outfile)

            f = open(options.outfile, "w")

            write_osm(f, lakes, options.waylength)

            f.close()

        

        #tiles = tilelist(nodes)

        

        #for tile in tiles:

        #    print "./tilesGen.pl xy %d %d; ./upload.pl" % tile

        

        #print tiles

    except FatalError, e:

        error("%s" % e)

        error("Bailing out...")

if __name__ == "__main__":

    main()

ایہہ ؜17؍؜August ؜2009ء ‪07:35‬ تے «h4ck3rm1k3» ٹپݨی کیتی گئی سی۔

Original source
http://svn.openstreetmap.org/applications/utils/import/lakewalker/lakewalker.py

ایہہ ؜17؍؜August ؜2009ء ‪14:13‬ تے «maning» ٹپݨی کیتی گئی سی۔

Can't get it to work

Traceback (most recent call last):
File "forestwalker.py", line 44, in
import OSMReader
ImportError: No module named OSMReader

ایہہ ؜17؍؜August ؜2009ء ‪17:18‬ تے «h4ck3rm1k3» ٹپݨی کیتی گئی سی۔

Sorry, you need the other files here :
http://svn.openstreetmap.org/applications/utils/import/lakewalker/
http://svn.openstreetmap.org/applications/utils/import/lakewalker/OSMReader.py
http://svn.openstreetmap.org/applications/utils/import/lakewalker/OSM.py

ایہہ ؜17؍؜August ؜2009ء ‪20:02‬ تے «h4ck3rm1k3» ٹپݨی کیتی گئی سی۔

here is my new hack that will create a grid of all the points in a

#!/usr/bin/python

# Forestwalker 0.0003-gridhack.

# 2007-07-09: Initial public release (v0.2) by Dshpak

# 2007-07-10: v0.3: Added support for OSM input files. Also reduced start_radius_big, and fixed a division-by-zero error in the degenerate case of point_line_distance().

# 2007-08-04: Added experimental non-recursive Douglas-Peucker algorithm (--dp-nr). Added --startdir option.

# 2007-08-06: v0.4: Bounding box support (--left, --right, --top, and --bottom), as well as new --josm mode for JOSM integration. This isn't perfect yet, but it's a good start.

# 2009-08-17 James Michael DuPont h4ck3rm1k3@flossk.org working

"""Lakewalker II - A tool to automatically download and trace Landsat imagery, to generate OpenStreetMap data.

Requires the Python Imaging Library, available from http://www.pythonware.com/products/pil/"""

version="Lakewalker II v0.6"

# TODO:

# - Accept threshold tags in OSM input files.

# - Command line options:

#   - direction (deosil/widdershins)

#   - layer to use (monochrome only?)

#   - additional tags for the way

#   - Landsat download retries (count and delay)

#   - radii for loop detection

#   - fname for z12 tile output (list or script)

#   - path to tilesGen for z12 script output

#   - debug mode (extra tags on nodes) (make this non-uploadable?)

# - The "got stuck" message should output coords

# - Better "got stuck" detection (detect mini loops)

# - Offset nodes outwards by a half-pixel or so, to prevent duplicate segments

# - Automatic threshold detection

# - (Correct/tested) non-recursive DP simplification

#

#

# For JOSM integration:

# - Add a --tmpdir option that controls the location of the Landsat

#   tiles, the results text file, and the lake.osm file (unless it's

#   got an absolute path

# - Add a --nocache option that keeps WMS tiles in memory but not on disk.

import math

import os

import urllib

from PIL import Image

import OSMReader

import time

import optparse

options = None

start_radius_big = 0.001

start_radius_small = 0.0002

## for tile walking

stepsize = 33

#dirs = ((1, 0), (1, 1), (0, 1), (-1, 1), (-1, 0), (-1, -1), (0, -1), (1, -1))

# steps of 10.. walk faster

stepsize = 1

errortries=20

dirs = ((1 * stepsize, 0), (1 * stepsize, 1 * stepsize), (0, 1 * stepsize), (-1 * stepsize, 1 * stepsize), (-1 * stepsize, 0), (-1 * stepsize, -1 * stepsize), (0, -1 * stepsize), (1 * stepsize, -1 * stepsize))

dirnames = ["east", "northeast", "north", "northwest", "west", "southwest", "south", "southeast"]

dirabbrevs = ["e", "ne", "n", "nw", "w", "sw", "s", "se"]

class FatalError(Exception):

    pass

def message(s):

    if options.josm_mode:

        print "m %s" % s

    else:

        print s

        

def error(s):

    if options.josm_mode:

        print "e %s" % s

    else:

        print s

        

class BBox:

    def __init__(self, top = 90, left = -180, bottom = -90, right = 180):

        self.left = left

        self.right = right

        self.top = top

        self.bottom = bottom

    def contains(self, loc):

        (lat, lon) = loc

        if lat > self.top or lat < self.bottom:

            return False

        if (self.right - self.left) % 360 == 0:

            return True

        return (lon - self.left) % 360 <= (self.right - self.left) % 360

def download_landsat(c1, c2, width, height, fname):

    layer = "global_mosaic_base"

#    style = "IR1"

    style = "IR2"

    (min_lat, min_lon) = c1

    (max_lat, max_lon) = c2

    

    message("Downloading Landsat tile for (%.6f,%.6f)-(%.6f,%.6f)." % (min_lat, min_lon, max_lat, max_lon))

    url = "http://onearth.jpl.nasa.gov/wms.cgi?request=GetMap&layers=%s&styles=%s&srs=EPSG:4326&format=image/png&bbox=%0.6f,%0.6f,%0.6f,%0.6f&width=%d&height=%d" % (layer, style, min_lon, min_lat, max_lon, max_lat, width, height)

    print url

    try:

        urllib.urlretrieve(url, fname)

    except IOError, e:

        raise FatalError("Error downloading tile: %s" % e.strerror)

    if not os.path.exists(fname):

        raise FatalError("Error: Could not retreive url %s" % url)

    print "Got it %s" % fname

def xy_to_geo(xy):

    (x, y) = xy

    (lat, lon) = (y / float(options.resolution), x / float(options.resolution))

    return (lat, lon)

def geo_to_xy(geo):

    (lat, lon) = geo

    coord = lambda L: math.floor(L * options.resolution + 0.5)

    (x, y) = (coord(lon), coord(lat))

    return (x, y)

class WMSManager:

    def __init__(self):

        self.images = {}

    def get_tile(self, xy):

        im = None

        while im is None :

            (x, y) = xy

            bottom_left_xy = (int(math.floor(x / options.tilesize)) * options.tilesize, int(math.floor(y / options.tilesize)) * options.tilesize)

            top_right_xy = (bottom_left_xy[0] + options.tilesize, bottom_left_xy[1] + options.tilesize)

            fname = "landsat_%d_%d_xy_%d_%d.png" % (options.resolution, options.tilesize, bottom_left_xy[0], bottom_left_xy[1])

            im = self.images.get(fname, None)

            if not os.path.exists(fname):

                raise FatalError("Error: Could not get image file %s" % fname)

            try:

                im = Image.open(fname)

                self.images[fname] = im

                message("Using imagery in %s for %s." % (fname, xy_to_geo(xy)))

            except IOError:

                error("Download was corrupt...Deleting %s..." % fname)

                raise FatalError("Error: Could not get image file %s" % fname)

        return (im, bottom_left_xy)

    

    def get_pixel(self, xy):

        (x, y) = xy

        (tile, (tx, ty)) = self.get_tile(xy)

        tile_xy = (x - tx, (options.tilesize - 1) - (y - ty))

        print "%s maps to %s" % (xy, tile_xy)

        return tile.getpixel(tile_xy)

def walk_tile(loc, threshold, start_dir, bbox):

    wms = WMSManager()

    xy = geo_to_xy(loc)

    nodelist = []

    message("Starting coordinate: %.4f, %.4f" % loc)

    message("Starting position: %d, %d" % xy)

    #v = wms.get_pixel(xy)

    #get the tile that the pixel contains

    (tile, (tx, ty)) = wms.get_tile(xy)

    

#    print tile

    for x in xrange(tx +1, tx + options.tilesize -1, stepsize) :

        for y in xrange(ty+1, ty + options.tilesize -1, stepsize) :

            loc = xy_to_geo((x, y))

            nodelist.append(loc)

#    message("Tile : %d, %d" % (tx, ty))

    return nodelist

def trace_lake(loc, threshold, start_dir, bbox):

    wms = WMSManager()

    xy = geo_to_xy(loc)

    nodelist = []

    message("Starting coordinate: %.4f, %.4f" % loc)

    message("Starting position: %d, %d" % xy)

    #v = wms.get_pixel(xy)

    #get the tile that the pixel contains

    (tile, (tx, ty)) = wms.get_tile(xy)

    

    if not bbox.contains(loc):

        raise FatalError("Error: Starting location is outside bounding box!")

    errcount = errortries

    while True:

        loc = xy_to_geo(xy)

        if not bbox.contains(loc):

            break

        

        v = wms.get_pixel(xy)

        if v > threshold:

            errcount = errcount -1 # allow for three errors

            if errcount < 0 :

                break

        xy = (xy[0] + dirs[start_dir][0], xy[1] + dirs[start_dir][1])

    start_xy = xy

    start_loc = xy_to_geo(xy)

    print xy 

    message("Found shore at  lat %.4f lon %.4f" % start_loc)

    #dirs = ((1, 0), (1, -1), (0, -1), (-1, -1), (-1, 0), (-1, 1), (0, 1), (1, 1))

    last_dir = start_dir

    detect_loop = False

    

    for i in xrange(options.maxnodes):

        if i % 250 == 0:

            if i > 0:

                message("%s nodes so far..." % i)

        for d in xrange(1, len(dirs)):

            new_dir = dirs[(last_dir + d + 4) % 8]

            test_xy = (xy[0] + new_dir[0], xy[1] + new_dir[1])

            test_loc = xy_to_geo(test_xy)

            if not bbox.contains(test_loc):

                break

            

            v = wms.get_pixel(test_xy)

            print "%s: %s: %s" % (new_dir, test_xy, v)

            if v > threshold:

                break

        if d == 8:

            error("Got stuck.")

            break

        print "Moving to %s, direction %s (was %s)" % (test_xy, new_dir, dirs[last_dir])

        last_dir = (last_dir + d + 4) % 8

        xy = test_xy

        if xy == start_xy:

            break

        loc = xy_to_geo(xy)

        nodelist.append(loc)

        

        start_proximity = (loc[0] - start_loc[0]) ** 2 + (loc[1] - start_loc[1]) ** 2

        if detect_loop:

            if start_proximity < start_radius_small ** 2:

                break

        else:

            if start_proximity > start_radius_big ** 2:

                detect_loop = True

    return nodelist

def vertex_reduce(nodes, proximity):

    test_v = nodes[0]

    reduced_nodes = [test_v]

    prox_sq = proximity ** 2

    for v in nodes:

        if (v[0] - test_v[0]) ** 2 + (v[1] - test_v[1]) ** 2 > prox_sq:

            reduced_nodes.append(v)

            test_v = v

    return reduced_nodes

def point_line_distance(p0, p1, p2):

    ((x0, y0), (x1, y1), (x2, y2)) = (p0, p1, p2)

    if x2 == x1 and y2 == y1:

        # Degenerate cast: the "line" is actually a point.

        return math.sqrt((x1-x0)**2 + (y1-y0)**2)

    else:

        # I don't understand this at all. Thank you, Mathworld.

        # http://mathworld.wolfram.com/Point-LineDistance2-Dimensional.html

        return abs((x2-x1)*(y1-y0) - (x1-x0)*(y2-y1)) / math.sqrt((x2-x1)**2 + (y2-y1)**2)

def douglas_peucker(nodes, epsilon):

    print "Running DP on %d nodes" % len(nodes)

    farthest_node = None

    farthest_dist = 0

    first = nodes[0]

    last = nodes[-1]

    for i in xrange(1, len(nodes) - 1):

        d = point_line_distance(nodes[i], first, last)

        if d > farthest_dist:

            farthest_dist = d

            farthest_node = i

    if farthest_dist > epsilon:

        seg_a = douglas_peucker(nodes[0:farthest_node+1], epsilon)

        seg_b = douglas_peucker(nodes[farthest_node:-1], epsilon)

        print "Minimized %d nodes to %d + %d nodes" % (len(nodes), len(seg_a), len(seg_b))

        nodes = seg_a[:-1] + seg_b

    else:

        return [nodes[0], nodes[-1]]

    return nodes

def dp_findpoint(nodes, start, end):

    farthest_node = None

    farthest_dist = 0

    print "dp_findpoint(nodes, %s, %s)" % (start, end)

    first = nodes[start]

    last = nodes[end]

    for i in xrange(start + 1, end):

        d = point_line_distance(nodes[i], first, last)

        if d > farthest_dist:

            farthest_dist = d

            farthest_node = i

    return (farthest_node, farthest_dist)

def douglas_peucker_nonrecursive(nodes, epsilon):

    print "Running DP on %d nodes" % len(nodes)

    command_stack = [(0, len(nodes) - 1)]

    result_stack = []

    while len(command_stack) > 0:

        cmd = command_stack.pop()

        if type(cmd) == tuple:

            (start, end) = cmd

            (node, dist) = dp_findpoint(nodes, start, end)

            if dist > epsilon:

                command_stack.append("+")

                command_stack.append((start, node))

                command_stack.append((node, end))

            else:

                result_stack.append((start, end))

        elif cmd == "+":

            first = result_stack.pop()

            second = result_stack.pop()

            if first[-1] == second[0]:

                result_stack.append(first + second[1:])

                print "Added %s and %s; result is %s" % (first, second, result_stack[-1])

            else:

                error("ERROR: Cannot connect nodestrings!")

                #print first

                #print second

                return

        else:

            error("ERROR: Can't understand command \"%s\"" % (cmd,))

            return

    if len(result_stack) == 1:

        return [nodes[x] for x in result_stack[0]]

    else:

        error("ERROR: Command stack is empty but result stack has %d nodes!" % len(result_stack))

        return

    farthest_node = None

    farthest_dist = 0

    first = nodes[0]

    last = nodes[-1]

    for i in xrange(1, len(nodes) - 1):

        d = point_line_distance(nodes[i], first, last)

        if d > farthest_dist:

            farthest_dist = d

            farthest_node = i

    if farthest_dist > epsilon:

        seg_a = douglas_peucker(nodes[0:farthest_node+1], epsilon)

        seg_b = douglas_peucker(nodes[farthest_node:-1], epsilon)

        print "Minimized %d nodes to %d + %d nodes" % (len(nodes), len(seg_a), len(seg_b))

        nodes = seg_a[:-1] + seg_b

    else:

        return [nodes[0], nodes[-1]]

    return nodes

def output_to_josm(lakelist):

    # Description of JOSM output format:

    # m text - Status message text, to be displayed in a display window

    # e text - Error message text

    # s nnn - Start full node list, nnn tracings following

    # t nnn - Start tracing node list, nnn nodes following (i.e. there will be one of these for each lake where multiple start points specified)

    # n lat lon - A node

    # x - End of data

    print "s %s" % len(lakelist)

    for nodelist in lakelist:

        print "t %s" % len(nodelist)

        for node in nodelist:

            print "n %.7f %.7f" % (node[0], node[1])

    print "x"

def write_osm(f, lakelist, waysize):

    f.write('')

    cur_id = -1

    way_count = 0

    for nodelist in lakelist:

        first_node_id = cur_id

        cur_way = []

        ways = [cur_way]

        for loc in nodelist:

            #f.write('  \n' % (cur_id, loc[0], loc[1], -cur_id, geo_to_xy(loc)[0], geo_to_xy(loc)[1]))

            f.write('' % (cur_id, loc[0], loc[1]))

            last_node_id = cur_id

            cur_id = cur_id - 1

        print "Nodes: %d, %d" % (first_node_id, last_node_id)

#        f.write('\n' %  cur_id)

#        first_segment_id = cur_id

#        for seg in xrange(first_node_id, last_node_id, -1):

#            f.write('' % ( seg))

            #

#            cur_id = cur_id - 1

#        f.write('' % (cur_id, last_node_id, first_node_id))

#        f.write('\n')

#        last_segment_id = cur_id

        cur_id = cur_id - 1

        print "Segments: %d, %d" % (first_node_id, last_node_id)

        

        for seg in xrange(first_node_id, last_node_id - 1, -1):

            if len(cur_way) >= waysize:

                cur_way = []

                ways.append(cur_way)

            cur_way.append(seg)

        for way in ways:

            f.write('\n' % cur_id)

            cur_id = cur_id - 1

            for seg in way:

                f.write('' % seg)

            f.write('' % first_node_id) # close it

            f.write('' % options.natural_type)

            f.write('')

            f.write('\n')

        way_count = way_count + len(ways)

    

    f.write('')

    message("Generated %d %s." % (way_count, ["way", "ways"][way_count > 0]))

def outputlakes(lakes):

    filenum =0

    if options.josm_mode:

        output_to_josm(lakes)

    else:

        

        filename = "%s-%d.osm" % (options.outfile, filenum)        

        filenum = filenum +1 

        message("Writing to %s" % filename)

        f = open(filename, "w")

        write_osm(f, lakes, options.waylength)

        f.close()

        message("wrote the file %s" % filename)

        

        lakes = []

    return lakes

def get_locs(infile):

    nodes = []

    segments = []

    ways = []

    reader = OSMReader.OSMReader()

    reader.nodeHandler = lambda x: nodes.append(x)

    reader.segmentHandler = lambda x: segments.append(x)

    reader.wayHandler = lambda x: ways.append(x)

    reader.run(file(infile))

    if len(segments) > 0 or len(ways) > 0:

        raise FatalError("Error: Input file must only contain nodes -- no segments or ways.")

    if len(nodes) == 0:

        raise FatalError("Error: No nodes found in input file.")

    return [((node.lat, node.lon), options.threshold) for node in nodes]

def main():

    parser = optparse.OptionParser(version=version)

    parser.add_option("--lat", type="float", metavar="LATITUDE", help="Starting latitude. Required, unless --infile is used..")

    parser.add_option("--lon", type="float", metavar="LONGITUDE", help="Starting longitude. Required, unless --infile is used.")

    parser.add_option("--startdir", type="string", default="east", metavar="DIR", help="Direction to travel from start position when seeking land. Defaults to \"east\".")

    parser.add_option("--infile", "-i", type="string", metavar="FILE", help="OSM file containing nodes representing starting points.")

    parser.add_option("--out", "-o", default="forest.osm", dest="outfile", metavar="FILE", help="Output filename. Defaults to forest.osm.")

    parser.add_option("--threshold", "-t", type="int", default="35", metavar="VALUE", help="Maximum gray value to accept as water (based on Landsat IR-1 data). Can be in the range 0-255. Defaults to 35.")

    parser.add_option("--maxnodes", type="int", default="50000", metavar="N", help="Maximum number of nodes to generate before bailing out. Defaults to 50000.")

    parser.add_option("--waylength", type="int", default=250, metavar="MAXLEN", help="Maximum nuber of nodes allowed in one way. Defaults to 250.")

    parser.add_option("--landsat-res", type="int", default=4000, dest="resolution", metavar="RES", help="Resolution of Landsat tiles, measured in pixels per degree. Defaults to 4000.")

    parser.add_option("--tilesize", type="int", default=2000, help="Size of one landsat tile, measured in pixels. Defaults to 2000.")

    parser.add_option("--no-dp", action="store_false", dest="use_dp", default=True, help="Disable Douglas-Peucker line simplification (not recommended)")

    parser.add_option("--dp-epsilon", type="float", metavar="EPSILON", default=0.0003, help="Accuracy of Douglas-Peucker line simplification, measured in degrees. Lower values give more nodes, and more accurate lines. Defaults to 0.0003.")

    parser.add_option("--dp-nr", action="store_true", dest="dp_nr", default=False, help="Use experimental non-recursive DP implementation")

    parser.add_option("--vr", action="store_true", dest="use_vr", default=False, help="Use vertex reduction before applying line simplification (off by default).")

    parser.add_option("--vr-epsilon", type="float", default=0.0005, metavar="RADIUS", help="Radius used for vertex reduction (measured in degrees). Defaults to 0.0005.")

#    parser.add_option("--water", action="store_const", const="water", dest="natural_type", default="coastline", help="Tag ways as natural=water instead of natural=coastline")

    parser.add_option("--forest", action="store_const", const="woords", dest="natural_type", default="forest", help="Tag ways as natural=woods instead of natural=forest")

    #options.natural_type

    parser.add_option("--left", type="float", metavar="LONGITUDE", default=-180, help="Left (west) longitude for bounding box")

    parser.add_option("--right", type="float", metavar="LONGITUDE", default=180, help="Right (east) longitude for bounding box")

    parser.add_option("--top", type="float", metavar="LATITUDE", default=90, help="Top (north) latitude for bounding box")

    parser.add_option("--bottom", type="float", metavar="LATITUDE", default=-90, help="Bottom (south) latitude for bounding box")

    parser.add_option("--josm", action="store_true", dest="josm_mode", default=False, help="Operate in JOSM plugin mode")

    global options # Ugly, I know...

    (options, args) = parser.parse_args()

    if len(args) > 0:

        parser.print_help()

        return

    (start_lat, start_lon, infile) = (options.lat, options.lon, options.infile)

    if (start_lat is None or start_lon is None) and infile is None:

        if not options.josm_mode:

            parser.print_help()

            print

        error("Error: you must specify a starting latitude and longitude.")

        return

    if infile is not None:

        if start_lat is not None or start_lon is not None:

            error("Error: you cannot use both --infile and --lat or --lon.")

            return

        try:

            locs = get_locs(infile)

            #print locs

        except FatalError, e:

            error("%s" % e)

            return

    else:

        locs = [((start_lat, start_lon), options.threshold)]

    dirname = options.startdir.lower()

    if dirname in dirnames:

        startdir = dirnames.index(dirname)

    elif dirname in dirabbrevs:

        startdir = dirabbrevs.index(dirname)

    else:

        error("Error: Can't understand starting direction \"%s\". Vaild options are %s." % (dirname, ", ".join(dirnames + dirabbrevs)))

        return

    message("Starting direction is %s." % dirnames[startdir])

    bbox = BBox(options.top, options.left, options.bottom, options.right)

    try:

        lakes = []

        filenum=1

        # create a grid for just the first point

        print locs[0][0]

        locgrid = walk_tile(locs[0][0], 0, startdir, bbox)

        nodes = []

        for (loc) in locgrid:

            #threshold

            #(lat, lon) = loc

            #newloc = (x, y) = (coord(lon), coord(lat))            

            try:

                print "tracing at " 

                print loc

                #nodes2 = trace_lake(loc, options.threshold, startdir, bbox)

                nodes.append(loc)

            except FatalError, e:

                error("%s" % e)

            message("%d nodes generated." % len(nodes))

            # skip over very small groups

            if len(nodes) > 0:

                if options.use_vr:

                    nodes = vertex_reduce(nodes, options.vr_epsilon)

                    message("After vertex reduction, %d nodes remain." % len(nodes))

                if options.use_dp:

                    try:

                        if options.dp_nr:

                            nodes = douglas_peucker_nonrecursive(nodes, options.dp_epsilon)

                            #print "Final result: %s" % (nodes,)

                        else:

                            nodes = douglas_peucker(nodes, options.dp_epsilon)

                        message("After Douglas-Peucker approximation, %d nodes remain." % len(nodes))

                    except FatalError, e:

                        raise e

                    except:

                        message(" Douglas-Peucker approximation failed, who cares., %d nodes remain." % len(nodes))

                        #raise FatalError("Line simplification failed -- there are probably too many nodes.")

                lakes.append(nodes)

            lakes= outputlakes(lakes)

    except FatalError, e:

        error("%s" % e)

        error("Bailing out...")

if __name__ == "__main__":

    main()

ایہہ ؜17؍؜August ؜2009ء ‪20:16‬ تے «h4ck3rm1k3» ٹپݨی کیتی گئی سی۔

prizren> i use the diary as my source control
let me walk you through it
first you need these files
http://svn.openstreetmap.org/applications/utils/import/lakewalker/OSMReader.py
http://svn.openstreetmap.org/applications/utils/import/lakewalker/OSM.py
then you need this file
http://www.pastebin.ca/1532240
and then it takes parameters of a osm file
or just a point
and the threshold
python ./lakewalker.py --lat 42.4052 --lon 20.4782 --threshold 80 -o forest.osm
or
python ./lakewalker.py -i somedots.osm --threshold 80 -o forest.osm

اوپن سٹریٹ میپ

روزنامچہ: h4ck3rm1k3

ForestWalker.py

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