def __init__(self, parent, lat=32.10932741542229, lon=34.89818882620658, zoom=15): super().__init__(parent) Projection.__init__(self) Tiles.__init__(self, self.tileRetrieved) self.recentre(lat, lon, zoom) self.drag = False self.dragStartCoords = (0, 0) self.layers = [] self.Bind(wx.EVT_SIZE, self.sizeChanged) self.Bind(wx.EVT_PAINT, self.updatePanel) self.Bind(wx.EVT_MOUSEWHEEL, self.scroll_event) self.Bind(wx.EVT_LEFT_DOWN, self.click) self.Bind(wx.EVT_LEFT_UP, self.release) self.Bind(wx.EVT_MOTION, self.mousemove) self.Bind(wx.EVT_MOUSEWHEEL, self.scroll_event) size = self.GetSize() self.mousePosition = wx.Point(size.GetWidth() / 2, size.GetHeight() / 2) self.SetBackgroundStyle(wx.BG_STYLE_PAINT)
def get_world_size(minlat, minlon, maxlat, maxlon): """Return the world size in X-Z coordinates.""" x1, z1 = Projection.project(minlon, minlat) x2, z2 = Projection.project(maxlon, maxlat) xSize = math.fabs(x2 - x1) zSize = math.fabs(z2 - z1) return (xSize, zSize)
def select_clusters(img, clusters, origin): """Return 4 borderlines that bound the table""" if len(clusters) < 4: return clusters, None img_hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV) in_frame = lambda x, y: 0 <= x < img_hsv.shape[ 1] and 0 <= y < img_hsv.shape[0] attempt = 1 for quadruple in combinations(clusters, 4): quadruple.sort() borders = [lines[0] for lines in quadruple] corners = get_corners(borders, origin) slope = horizon_slope(borders) if corners and slope < 0.3: # average color in the central area mean_color, stddev = mean_deviation(img_hsv, corners, green_mask(img)) for i in range(4): for line in reversed(quadruple[i]): borders[i] = line corners = get_corners(borders, origin) if not all(in_frame(*c) for c in corners): continue pr = Projection(corners, origin) inner_strip, outer_strip = pr.border_neighbourhoods(i - 1) inner_color, inner_dev = mean_deviation( img_hsv, inner_strip) outer_color, outer_dev = mean_deviation( img_hsv, outer_strip) inner_diff = np.abs(inner_color - mean_color) outer_diff = np.abs(outer_color - mean_color) if TEST: imgt = img.copy() for line in borders: draw_line(imgt, line, origin) draw_polygon(imgt, inner_strip) draw_polygon(imgt, outer_strip) cv2.imwrite( 'data/lines/steps/%s_%02d.jpg' % (filename.replace('.', ''), attempt), imgt) attempt += 1 print('in %s out %s ind %s outd %s' % (inner_diff, outer_diff, inner_dev, outer_dev)) if (inner_diff[0] < 10 and inner_dev[0] < 20 and max(inner_diff) < 100 and (outer_diff[0] > 10 or outer_dev[0] > 20)): if TEST: print('v') break else: # loop finished without break, no i'th borderline found break # stop search else: # search was not stopped, all borderlines found clusters = [[line for line in lines if line[1] < border[1]] for lines, border in zip(quadruple, borders)] return clusters, borders return clusters, None
def center_coordinates(minlat, minlon, maxlat, maxlon): """Center the coordinate around (0,0) and returns the offsets between earth and local world coordinate.""" x1, z1 = Projection.project(minlon, minlat) x2, z2 = Projection.project(maxlon, maxlat) xOffset = (x1 + x2) / 2 zOffset = (z1 + z2) / 2 for osmid in OSMCoord.coordDictionnary: # inverse X, because OSM and Webots X are inversed OSMCoord.coordDictionnary[osmid].x = -OSMCoord.coordDictionnary[osmid].x + xOffset OSMCoord.coordDictionnary[osmid].z = OSMCoord.coordDictionnary[osmid].z - zOffset return xOffset, zOffset
def __init__(self, scale=1.0, fov=97.62815): # 106.2602 comes from 2*atan(4/3), to give the 90 deg inner image a dim of 3/4 of the full dim. # 97.62815 comes from 2*atan(8/7), for 7/8 image as inner 90 deg self.scale = scale self.proj = { 'forward': Projection(xrot=0.0, yrot=0.0, fov=fov, aspect=1.0), 'left': Projection(xrot=0.0, yrot=-90.0, fov=fov, aspect=1.0), 'right': Projection(xrot=0.0, yrot=90.0, fov=fov, aspect=1.0), 'up': Projection(xrot=-90.0, yrot=0.0, fov=fov, aspect=1.0), 'down': Projection(xrot=90.0, yrot=0.0, fov=fov, aspect=1.0) }
def create_projection(): database_url = os.environ[DATABASE_URL] database_replica_set = os.environ[DATABASE_REPLICA_SET] database_name = os.environ[DATABASE_NAME] parent_filename = request.json[PARENT_FILENAME_NAME] projection_filename = request.json[PROJECTION_FILENAME_NAME] projection_fields = request.json[FIELDS_NAME] database = Database( database_url, database_replica_set, os.environ[DATABASE_PORT], database_name, ) request_validator = UserRequest(database) request_errors = analyse_request_errors(request_validator, parent_filename, projection_filename, projection_fields) if request_errors is not None: return request_errors database_url_input = Database.collection_database_url( database_url, database_name, parent_filename, database_replica_set, ) database_url_output = Database.collection_database_url( database_url, database_name, projection_filename, database_replica_set, ) metadata_creator = Metadata(database) projection = Projection(metadata_creator, database_url_input, database_url_output) projection.create(parent_filename, projection_filename, projection_fields) return ( jsonify({ MESSAGE_RESULT: MICROSERVICE_URI_GET + projection_filename + MICROSERVICE_URI_GET_PARAMS }), HTTP_STATUS_CODE_SUCCESS_CREATED, )
def find_projection(self, proj_id, movie_id): chosen_proj = Projection() chosen_movie = self.find_movie(movie_id) for projection in chosen_movie.projections: if projection.id == proj_id: chosen_proj = projection return chosen_proj
def add_projection(self, movie_id, type, date, time): projection = Projection(movie_id=movie_id, type=type, date=date, time=time) self.session.add(projection) self.session.commit()
def add_projections(self, data_for_projections): projections = [] for projection in data_for_projections: projections.append( Projection(type=projection[0], dateTime=projection[1], movie_id=projection[2]))
def add_projection(self): type_ = input('type>') date_ = input('date>') time_ = input('time>') movie_id = int(input('movie_id')) new_projection = Projection(type_=type_, date_=date_, time_=time_, movie_id=movie_id) self.__session.add(new_projection) self.__session.commit()
def add(osmid, long, lat): """Add a new coordinate to the list from longitude latitude.""" coord = OSMCoord() coord.OSMID = osmid coord.long = long coord.lat = lat coord.x, coord.z = Projection.project(coord.long, coord.lat) OSMCoord.coordDictionnary[osmid] = coord
def add(osmid, long, lat, tags): """Add a new node to the list from longitude latitude.""" node = OSMNode() node.OSMID = osmid node.long = long node.lat = lat node.x, node.z = Projection.project(node.long, node.lat) node.tags = tags OSMNode.nodeDictionnary[osmid] = node
def read_from_file(self, filename): # Open data file for reading # File must be kept open, otherwise GDAL methods segfault. fid = self.fid = gdal.Open(filename, gdal.GA_ReadOnly) if fid is None: msg = 'Could not open file %s' % filename raise Exception(msg) # Record raster metadata from file basename, ext = os.path.splitext(filename) # If file is ASCII, check that projection is around. # GDAL does not check this nicely, so it is worth an # error message if ext == '.asc': try: open(basename + '.prj') except IOError: msg = ('Projection file not found for %s. You must supply ' 'a projection file with extension .prj' % filename) raise RuntimeError(msg) # Look for any keywords self.keywords = read_keywords(basename + '.keywords') # Determine name if 'title' in self.keywords: rastername = self.keywords['title'] else: # Use basename without leading directories as name rastername = os.path.split(basename)[-1] self.name = rastername self.filename = filename self.projection = Projection(self.fid.GetProjection()) self.geotransform = self.fid.GetGeoTransform() self.columns = fid.RasterXSize self.rows = fid.RasterYSize self.number_of_bands = fid.RasterCount # Assume that file contains all data in one band msg = 'Only one raster band currently allowed' if self.number_of_bands > 1: msg = ('WARNING: Number of bands in %s are %i. ' 'Only the first band will currently be ' 'used.' % (filename, self.number_of_bands)) # FIXME(Ole): Let us use python warnings here raise Exception(msg) # Get first band. band = self.band = fid.GetRasterBand(1) if band is None: msg = 'Could not read raster band from %s' % filename raise Exception(msg)
def calc_brightness(self): """ Project the electron number density or gas mass density profile to calculate the 2D surface brightness profile. """ if self.cf_radius is None or self.cf_value is None: raise ValueError("cooling function profile missing") if self.cf_spline is None: self.fit_spline(spline="cooling_function", log10=[]) # ne = self.calc_density_electron() # flux per unit volume cf_new = self.eval_spline(spline="cooling_function", x=self.r) flux = cf_new * ne**2 / AstroParams.ratio_ne_np # project the 3D flux into 2D brightness rout = (self.r + self.r_err) * au.kpc.to(au.cm) projector = Projection(rout) brightness = projector.project(flux) return brightness
def __init__(self, id, name, rating): proj = Movie.cursor.execute("SELECT * FROM projections") self.id = id self.name = name self.rating = rating self.projections = [] for row in proj: if row[1] == self.id: self.projections.append( Projection(row[0], row[1], row[2], row[3], row[4]))
def check0(self, ch, w, debug=False): env = Env(w, []) visitor = Projection() visitor.execute(ch, env, debug) chor = visitor.choreography vectorize(chor, w) checker = CompatibilityCheck(chor, w) checker.localChoiceChecks() checker.generateTotalGuardsChecks() checker.computePreds(debug) checker.generateCompatibilityChecks(debug) for i in range(0, len(checker.vcs)): vc = checker.vcs[i] if not vc.discharge(debug=debug): print(i, "inFP", vc.title) if vc.hasModel(): print(vc.modelStr()) return False return True
def print_header(file, minlat, minlon, maxlat, maxlon, elevation=None): """Print the 'WorldInfo', 'Viewpoint', 'TexturedBackground', 'TexturedBackgroundLight' and 'Floor' nodes.""" xSize, zSize = get_world_size(minlat=minlat, minlon=minlon, maxlat=maxlat, maxlon=maxlon) file.write("#VRML_SIM R2021a utf8\n") file.write("WorldInfo {\n") file.write(" info [\n") file.write( " \"World generated using the Open Street Map to Webots importer\"\n" ) file.write(" \"Author: David Mansolino <*****@*****.**>\"\n") file.write(" ]\n") file.write(" coordinateSystem \"NUE\"\n") longitude = (float(maxlon) + float(minlon)) / 2 latitude = (float(maxlat) + float(minlat)) / 2 x, z = Projection.project(longitude, latitude) height = 0 if elevation is not None: height = elevation.interpolate_height(x, z) file.write(" gpsCoordinateSystem \"WGS84\"\n") file.write(" gpsReference " + str(latitude) + " " + str(longitude) + " " + str(height) + "\n") file.write(" lineScale " + str(round(max(xSize, zSize) / 200.0)) + "\n") file.write("}\n") file.write("Viewpoint {\n") file.write(" orientation 0.305 0.902 0.305 4.609\n") position = round(xSize * math.cos(0.785) * 1.5 + zSize * math.cos(0.785) * 1.5) file.write(" position " + str(-position * 1.25) + " " + str(position) + " 0\n") file.write(" near 3\n") file.write("}\n") file.write("TexturedBackground {\n") file.write("}\n") file.write("TexturedBackgroundLight {\n") file.write("}\n") if elevation is None: file.write("Floor {\n") file.write(" translation 0 -0.02 0\n") file.write(" size " + str(round(1.5 * xSize)) + " " + str(round(1.5 * zSize)) + "\n") file.write(" appearance PBRAppearance {\n") file.write(" baseColorMap ImageTexture {\n") file.write(" url [\n") file.write(" \"textures/grass.jpg\"\n") file.write(" ]\n") file.write(" }\n") file.write(" roughness 1\n") file.write(" metalness 0\n") file.write(" }\n") file.write("}\n") else: file.write(elevation.floorString)
def __init__(self, name=None, projection=None, keywords=None, style_info=None, sublayer=None): """Common constructor for all types of layers See docstrings for class Raster and class Vector for details. """ # Name msg = ('Specified name must be a string or None. ' 'I got %s with type %s' % (name, str(type(name))[1:-1])) verify(isinstance(name, basestring) or name is None, msg) self.name = name # Projection self.projection = Projection(projection) # Keywords if keywords is None: self.keywords = {} else: msg = ('Specified keywords must be either None or a ' 'dictionary. I got %s' % keywords) verify(isinstance(keywords, dict), msg) self.keywords = keywords # Style info if style_info is None: self.style_info = {} else: msg = ('Specified style_info must be either None or a ' 'dictionary. I got %s' % style_info) verify(isinstance(style_info, dict), msg) self.style_info = style_info # Defaults self.sublayer = sublayer self.filename = None self.data = None
def make_reservation(self): while True: name = input("Step 1 (User) Choose name> ") if name == "give_up": break num_tickets = input("Step 1 (User) Choose the number of tickets> ") if num_tickets == "give_up": break num_tickets = int(num_tickets) print("Current movies:") self.show_movies() chosen_movie = None chosen_proj = Projection() movie_id = input("Step 2 (Movie) Choose a movie> ") if movie_id == "give_up": break movie_id = int(movie_id) chosen_movie = self.find_movie(movie_id) for projection in chosen_movie.projections: projection.load_reservations(projection.id) print("Projections for movie {}".format(chosen_movie.name)) self.show_projection(movie_id) proj_id = input("Step 3 (Projection) Choose projection> ") if proj_id == "give_up": break proj_id = int(proj_id) print("Available seats (marked with a dot):") chosen_proj = self.find_projection(proj_id, movie_id) print(chosen_proj.id) chosen_proj.show_seats() seats = [] seats = self.choose_seats(num_tickets, chosen_proj) if seats is False: break chosen_proj.show_seats() self.print_reservation_details(chosen_movie, chosen_proj, seats) command = input("To finalize type <finalize>: ") if command == "finalize": for seat in seats: manage_tables.add_reservations(name, chosen_proj.id, seat[0], seat[1])
def create_projection(): parent_filename = request.json[PARENT_FILENAME_NAME] projection_filename = request.json[PROJECTION_FILENAME_NAME] projection_fields = request.json[FIELDS_NAME] request_errors = analyse_request_errors(request_validator, parent_filename, projection_filename, projection_fields) if request_errors is not None: return request_errors database_url_input = Database.collection_database_url( database_url, database_name, parent_filename, database_replica_set, ) database_url_output = Database.collection_database_url( database_url, database_name, projection_filename, database_replica_set, ) metadata_creator = Metadata(database) projection = Projection(metadata_creator, database_url_input, database_url_output) projection.create(parent_filename, projection_filename, projection_fields) return ( jsonify({ MESSAGE_RESULT: f'{MICROSERVICE_URI_GET}{projection_filename}' f'{MICROSERVICE_URI_GET_PARAMS}' }), HTTP_STATUS_CODE_SUCCESS_CREATED, )
def main(): engine = create_engine("sqlite:///cinema_database.db") Base.metadata.create_all(engine) session = Session(bind=engine) session.add_all([ Movie(name="The Hunger Games: Catching Fire", rating=7.9), Movie(name="Wreck-It Ralph", rating=7.8), Movie(name="Her", rating=8.3) ]) session.add_all([ Projection(movie_id=1, type="3D", date="2014-04-01", time="19:10"), Projection(movie_id=1, type="2D", date="2014-04-01", time="19:00"), Projection(movie_id=1, type="4DX", date="2014-04-02", time="21:00"), Projection(movie_id=3, type="2D", date="2014-04-05", time="20:20"), Projection(movie_id=2, type="3D", date="2014-04-02", time="22:00"), Projection(movie_id=2, type="2D", date="2014-04-02", time="19:30") ]) session.add_all([ Reservation(username="******", projection_id=1, row=2, col=1), Reservation(username="******", projection_id=1, row=3, col=5), Reservation(username="******", projection_id=1, row=7, col=8), Reservation(username="******", projection_id=3, row=1, col=1), Reservation(username="******", projection_id=3, row=1, col=2), Reservation(username="******", projection_id=5, row=2, col=3), Reservation(username="******", projection_id=5, row=2, col=4) ]) session.commit()
def print_header(file, minlat, minlon, maxlat, maxlon, elevation=None): """Print the 'WorldInfo', 'Viewpoint', 'TexturedBackground', 'TexturedBackgroundLight' and 'Floor' nodes.""" xSize, zSize = get_world_size(minlat=minlat, minlon=minlon, maxlat=maxlat, maxlon=maxlon) file.write("#VRML_SIM R2018a utf8\n") file.write("WorldInfo {\n") file.write(" info [\n") file.write( " \"World generated using the Open Street Map to Webots importer\"\n" ) file.write(" \"Author: David Mansolino <*****@*****.**>\"\n") file.write(" ]\n") file.write(" northDirection 0 0 1\n") longitude = (float(maxlon) + float(minlon)) / 2 latitude = (float(maxlat) + float(minlat)) / 2 x, z = Projection.project(longitude, latitude) height = 0 if elevation is not None: height = elevation.interpolate_height(x, z) file.write(" gpsCoordinateSystem \"WGS84\"\n") file.write(" gpsReference " + str(latitude) + " " + str(longitude) + " " + str(height) + "\n") file.write(" lineScale " + str(round(max(xSize, zSize) / 200.0)) + "\n") file.write("}\n") file.write("Viewpoint {\n") file.write(" orientation 0 0.92 0.38 3.1416\n") position = round(xSize * math.cos(0.785) * 1.5 + zSize * math.cos(0.785) * 1.5) file.write(" position 0 " + str(position) + " " + str(-position) + "\n") file.write(" near 3\n") file.write("}\n") file.write("TexturedBackground {\n") file.write("}\n") file.write("TexturedBackgroundLight {\n") file.write("}\n") file.write("Fog {\n") file.write(" color 0.93 0.96 1.0\n") file.write(" visibilityRange %s\n" % (max(3000, xSize, zSize))) file.write("}\n") if elevation is None: file.write("Floor {\n") file.write(" translation 0 -0.02 0\n") file.write(" size " + str(round(1.5 * xSize)) + " " + str(round(1.5 * zSize)) + "\n") file.write(" texture [\n") file.write(" \"textures/grass.jpg\"\n") file.write(" ]\n") file.write("}\n") else: file.write(elevation.floorString)
def add_projection(self): movie_id = input("Type the movie_id: ") movie_name = self.get_movie_title_by_id(movie_id) print("Adding projection for " + movie_name) type = input("Enter the type of the projection: ") date = self.obtain_date() time = self.obtain_time() projection = Projection(type=type, date=date, time=time, movie_id=movie_id) self.__session.add(projection) self.__session.commit()
def main(): """The main function in which everything you run should start.""" # Make sure that the output/ directory exists, or create it otherwise. output_dir = pathlib.Path.cwd() / "output" if not output_dir.is_dir(): output_dir.mkdir() #DAY 1 print("DAY 1 \nSquare Trial") rectangle_1 = Rectangle(-1, 0, -1, 0, 1) rectangle_2 = Rectangle(0, 1, 0, 1, .5) circle_1 = Circle(.8, .1, .05, 1) #attenuation for a rectangle print('The attenuation at your point for the is:', rectangle_1.attenuation(7, 0)) collection = ObjectCollection() #collection.append(rectangle_1) #collection.append(rectangle_2) collection.append(circle_1) #print(Projection.theta(theta_idx)) #DAY 2 #attenutation of a circle because this would be useful for changing the #coordinates of eta and xi print('\nDAY 2 \nCircle Trial') print('The attenuation at (1.2 , 1.2):', circle_1.attenuation(1.2, 1.2)) print('Integrated attenuation for a given eta:', circle_1.project_attenuation(np.pi, 0, (-2, 2))) myproj = Projection([0, np.pi], 100, [-2, 2], 100) myproj.add_object(collection, (-2, 2)) array_to_img( collection.to_array(np.linspace(-2, 2, 100), np.linspace( -2, 2, 100))).save(output_dir / "myproj1(.8, .1, .05, 1).png") array_to_img(myproj.data).save(output_dir / "sin(.8, .1, .05, 1).png")
def __init__(self, w, h): self.res = self.w, self.h = w, h self.screen = pg.display.set_mode((w, h)) self.clock = pg.time.Clock() self.fps = 60 self.objects = [] self.camera = Camera(self, (0, 0, 0)) self.camera.camera_yaw(radians(190)) self.projection = Projection(self)
def calc_electron_density(self): """ Deproject the surface brightness profile to derive the 3D electron number density (and then gas mass density) profile by incorporating the cooling function profile. unit: [ cm^-3 ] if the units converted for input data """ if self.s_spline is None: self.fit_spline(spline="brightness", log10=["x", "y"]) if self.cf_spline is None: self.fit_spline(spline="cooling_function", log10=[]) # s_new = self.eval_spline(spline="brightness", x=self.r) cf_new = self.eval_spline(spline="cooling_function", x=self.r) # projector = Projection(rout=self.r + self.r_err) s_deproj = projector.deproject(s_new) # emission measure per unit volume em_v = s_deproj / cf_new ne = np.sqrt(em_v * AstroParams.ratio_ne_np) self.ne = ne return ne
def check(self, P1, P2): w = World() p1 = P1(w, 0) p2 = P2(w, 1) env = Env(w, []) ch = choreo() visitor = Projection() visitor.execute(ch, env) chor = visitor.choreography vectorize(chor, w) checker = CompatibilityCheck(chor, w) checker.localChoiceChecks() checker.generateTotalGuardsChecks() checker.computePreds() checker.generateCompatibilityChecks() for i in range(0, len(checker.vcs)): vc = checker.vcs[i] if not vc.discharge(): print(i, "inFP", vc.title) if vc.hasModel(): print(vc.modelStr()) return False return True
class GenerateReprojectedImages(object): def __init__(self, name, scale, xrot=0.0, yrot=0.0, fov=90.0, aspect=1.0): self.name = "reproj_" + name self.scale = scale self.proj = Projection(xrot=xrot, yrot=yrot, fov=fov, aspect=aspect) def __call__(self, sample): input_dim = (sample['generated'].shape[1], sample['generated'].shape[0]) output_dim = (input_dim[0] * self.scale, input_dim[1] * self.scale) phi, theta = self.proj.generate_map(output_dim=output_dim, input_dim=input_dim) interpolation = cv2.INTER_AREA remap = cv2.remap(sample['generated'], phi, theta, interpolation=interpolation, borderValue=0, borderMode=cv2.BORDER_CONSTANT) sample[self.name] = remap return sample
def create_table_projcetions(): projectionscount = 6 projections = [Projection() for i in range(projectionscount)] movie_id = [1, 1, 1, 3, 2, 2] types = ["3D", "2D", "4DX", "2D", "3D", "2D"] datetimes = [[2014, 4, 1, 19, 10], [2014, 4, 1, 19, 00], [2014, 4, 2, 21, 00], [2014, 4, 5, 20, 20], [2014, 4, 2, 22, 00], [2014, 4, 2, 19, 30]] for i in range(projectionscount): projections[i].movie_id = movie_id[i] projections[i].type = types[i] projections[i].datetime = datetime(*datetimes[i]) session.add_all(projections)
def loadModules(self): self.modules['poi']['rss'] = geoRss(self.modules, os.path.join(os.path.dirname(__file__), 'Setup', 'feeds.txt')) #self.modules['poi']['geonames'] = geonames(self.modules) #self.modules['poi']['waypoints'] = waypointsModule(self.modules, "data/waypoints.gpx") self.modules['poi']['osm'] = osmPoiModule(self.modules) self.modules['overlay'] = guiOverlay(self.modules) self.modules['position'] = geoPosition() self.modules['tiles'] = tileHandler(self.modules) self.modules['data'] = DataStore(self.modules) self.modules['events'] = pyrouteEvents(self.modules) self.modules['sketch'] = sketching(self.modules) self.modules['osmdata'] = osmData(self.modules) self.modules['projection'] = Projection() self.modules['tracklog'] = tracklog(self.modules) self.modules['meta'] = moduleInfo(self.modules) self.modules['route'] = RouteOrDirect(self.modules['osmdata'].data)
def forward(self, volume, image_features, projection_indices_3d, projection_indices_2d, volume_dims): assert len(volume.shape) == 5 and len(image_features.shape) == 4 batch_size = volume.shape[0] num_images = projection_indices_3d.shape[0] // batch_size # project 2d to 3d image_features = [ Projection.apply(ft, ind3d, ind2d, volume_dims) for ft, ind3d, ind2d in zip(image_features, projection_indices_3d, projection_indices_2d) ] image_features = torch.stack(image_features, dim=4) # reshape to max pool over features sz = image_features.shape image_features = image_features.view(sz[0], -1, batch_size * num_images) if num_images == self.num_images: image_features = self.pooling(image_features) else: image_features = nn.MaxPool1d( kernel_size=num_images)(image_features) image_features = image_features.view(sz[0], sz[1], sz[2], sz[3], batch_size) image_features = image_features.permute(4, 0, 1, 2, 3) volume = self.features3d(volume) image_features = self.features2d(image_features) x = torch.cat([volume, image_features], 1) x = self.features(x) x = x.view(batch_size, self.nf2 * 54) semantic_output = self.semanticClassifier(x) semantic_output = semantic_output.view(batch_size, self.grid_dims[2], self.num_classes) scan_output = None if self.train_scan_completion: scan_output = self.scanClassifier(x) # scan_output - [batch_size, 62, 2] scan_output = scan_output.view( batch_size, self.grid_dims[2], 3) # 3 represents voxel grid occupancy values return semantic_output, scan_output
class Vector: """Class for abstraction of vector data """ def __init__(self, data=None, projection=None, geometry=None, name='', keywords=None, style_info=None): """Initialise object with either geometry or filename Input data: Can be either * a filename of a vector file format known to GDAL * List of dictionaries of fields associated with point coordinates * None projection: Geospatial reference in WKT format. Only used if geometry is provide as a numeric array, geometry: A list of either point coordinates or polygons name: Optional name for layer. Only used if geometry is provide as a numeric array keywords: Optional dictionary with keywords that describe the layer. When the layer is stored, these keywords will be written into an associated file with extension .keywords. Keywords can for example be used to display text about the layer in a web application. Note that if data is a filename, all other arguments are ignored as they will be inferred from the file. The geometry type will be inferred from the dimensions of geometry. If each entry is one set of coordinates the type will be ogr.wkbPoint, if it is an array of coordinates the type will be ogr.wkbPolygon. """ if data is None and projection is None and geometry is None: # Instantiate empty object self.name = name self.projection = None self.geometry = None self.geometry_type = None self.filename = None self.data = None self.extent = None self.keywords = {} self.style_info = {} return if isinstance(data, basestring): self.read_from_file(data) else: # Assume that data is provided as sequences provided as # arguments to the Vector constructor # with extra keyword arguments supplying metadata self.name = name self.filename = None if keywords is None: self.keywords = {} else: msg = ('Specified keywords must be either None or a ' 'dictionary. I got %s' % keywords) assert isinstance(keywords, dict), msg self.keywords = keywords if style_info is None: self.style_info = {} else: msg = ('Specified style_info must be either None or a ' 'dictionary. I got %s' % style_info) assert isinstance(style_info, dict), msg self.style_info = style_info msg = 'Geometry must be specified' assert geometry is not None, msg msg = 'Geometry must be a sequence' assert is_sequence(geometry), msg self.geometry = geometry self.geometry_type = get_geometry_type(geometry) #msg = 'Projection must be specified' #assert projection is not None, msg self.projection = Projection(projection) self.data = data if data is not None: msg = 'Data must be a sequence' assert is_sequence(data), msg msg = ('The number of entries in geometry and data ' 'must be the same') assert len(geometry) == len(data), msg # FIXME: Need to establish extent here def __str__(self): """Render as name, number of features, geometry type """ g_type_str = geometrytype2string(self.geometry_type) return ('Vector data set: %s, %i features, geometry type ' '%s (%s)' % (self.name, len(self), str(self.geometry_type), g_type_str)) def __len__(self): """Size of vector layer defined as number of features """ return len(self.geometry) def __eq__(self, other, rtol=1.0e-5, atol=1.0e-8): """Override '==' to allow comparison with other vector objecs Input other: Vector instance to compare to rtol, atol: Relative and absolute tolerance. See numpy.allclose for details """ # Check type if not isinstance(other, Vector): msg = ('Vector instance cannot be compared to %s' ' as its type is %s ' % (str(other), type(other))) raise TypeError(msg) # Check projection if self.projection != other.projection: return False # Check geometry if not numpy.allclose(self.get_geometry(), other.get_geometry(), rtol=rtol, atol=atol): return False # Check keys x = self.get_data() y = other.get_data() for key in x[0]: for i in range(len(y)): if key not in y[i]: return False for key in y[0]: for i in range(len(x)): if key not in x[i]: return False # Check data for i, a in enumerate(x): for key in a: X = a[key] Y = y[i][key] if X != Y: # Not obviously equal, try some special cases res = None try: # try numerical comparison with tolerances res = numpy.allclose(X, Y, rtol=rtol, atol=atol) except: pass else: if not res: return False try: # Try to cast as booleans. This will take care of # None, '', True, False, ... res = (bool(X) is bool(Y)) except: pass else: if not res: return False if res is None: # None of the comparisons could be done return False # Check keywords if self.keywords != other.keywords: return False # Vector layers are identical up to the specified tolerance return True def __ne__(self, other): """Override '!=' to allow comparison with other projection objecs """ return not self == other def get_name(self): return self.name def set_name(self, name): self.name = name def get_filename(self): return self.filename def get_keywords(self, key=None): """Return keywords dictionary """ if key is None: return self.keywords else: if key in self.keywords: return self.keywords[key] else: msg = ('Keyword %s does not exist in %s: Options are ' '%s' % (key, self.get_name(), self.keywords.keys())) raise Exception(msg) def get_style_info(self): """Return style_info dictionary """ return self.style_info def get_caption(self): """Return 'caption' keyword if present. Otherwise ''. """ if 'caption' in self.keywords: return self.keywords['caption'] else: return '' def read_from_file(self, filename): """ Read and unpack vector data. It is assumed that the file contains only one layer with the pertinent features. Further it is assumed for the moment that all geometries are points. * A feature is a geometry and a set of attributes. * A geometry refers to location and can be point, line, polygon or combinations thereof. * The attributes or obtained through GetField() The full OGR architecture is documented at * http://www.gdal.org/ogr/ogr_arch.html * http://www.gdal.org/ogr/ogr_apitut.html Examples are at * danieljlewis.org/files/2010/09/basicpythonmap.pdf * http://invisibleroads.com/tutorials/gdal-shapefile-points-save.html * http://www.packtpub.com/article/geospatial-data-python-geometry """ basename, _ = os.path.splitext(filename) # Look for any keywords self.keywords = read_keywords(basename + '.keywords') # FIXME (Ole): Should also look for style file to populate style_info # Determine name if 'title' in self.keywords: vectorname = self.keywords['title'] else: # Use basename without leading directories as name vectorname = os.path.split(basename)[-1] self.name = vectorname self.filename = filename self.geometry_type = None # In case there are no features fid = ogr.Open(filename) if fid is None: msg = 'Could not open %s' % filename raise IOError(msg) # Assume that file contains all data in one layer msg = 'Only one vector layer currently allowed' if fid.GetLayerCount() > 1: msg = ('WARNING: Number of layers in %s are %i. ' 'Only the first layer will currently be ' 'used.' % (filename, fid.GetLayerCount())) raise Exception(msg) layer = fid.GetLayerByIndex(0) # Get spatial extent self.extent = layer.GetExtent() # Get projection p = layer.GetSpatialRef() self.projection = Projection(p) # Get number of features N = layer.GetFeatureCount() # Extract coordinates and attributes for all features geometry = [] data = [] for i in range(N): feature = layer.GetFeature(i) if feature is None: msg = 'Could not get feature %i from %s' % (i, filename) raise Exception(msg) # Record coordinates ordered as Longitude, Latitude G = feature.GetGeometryRef() if G is None: msg = ('Geometry was None in filename %s ' % filename) raise Exception(msg) else: self.geometry_type = G.GetGeometryType() if self.geometry_type == ogr.wkbPoint: geometry.append((G.GetX(), G.GetY())) elif self.geometry_type == ogr.wkbLineString: M = G.GetPointCount() coordinates = [] for j in range(M): coordinates.append((G.GetX(j), G.GetY(j))) # Record entire line as an Mx2 numpy array geometry.append(numpy.array(coordinates, dtype='d', copy=False)) elif self.geometry_type == ogr.wkbPolygon: ring = G.GetGeometryRef(0) M = ring.GetPointCount() coordinates = [] for j in range(M): coordinates.append((ring.GetX(j), ring.GetY(j))) # Record entire polygon ring as an Mx2 numpy array geometry.append(numpy.array(coordinates, dtype='d', copy=False)) #elif self.geometry_type == ogr.wkbMultiPolygon: # # FIXME: Unpact multiple polygons to simple polygons # # For hints on how to unpack see #http://osgeo-org.1803224.n2.nabble.com/ #gdal-dev-Shapefile-Multipolygon-with-interior-rings-td5391090.html # ring = G.GetGeometryRef(0) # M = ring.GetPointCount() # coordinates = [] # for j in range(M): # coordinates.append((ring.GetX(j), ring.GetY(j))) # # Record entire polygon ring as an Mx2 numpy array # geometry.append(numpy.array(coordinates, # dtype='d', # copy=False)) else: msg = ('Only point, line and polygon geometries are ' 'supported. ' 'Geometry type in filename %s ' 'was %s.' % (filename, self.geometry_type)) raise Exception(msg) # Record attributes by name number_of_fields = feature.GetFieldCount() fields = {} for j in range(number_of_fields): name = feature.GetFieldDefnRef(j).GetName() # FIXME (Ole): Ascertain the type of each field? # We need to cast each appropriately? # This is issue #66 # (https://github.com/AIFDR/riab/issues/66) #feature_type = feature.GetFieldDefnRef(j).GetType() fields[name] = feature.GetField(j) #print 'Field', name, feature_type, j, fields[name] data.append(fields) # Store geometry coordinates as a compact numeric array self.geometry = geometry self.data = data def write_to_file(self, filename): """Save vector data to file Input filename: filename with extension .shp or .gml Note, if attribute names are longer than 10 characters they will be truncated. This is due to limitations in the shp file driver and has to be done here since gdal v1.7 onwards has changed its handling of this issue: http://www.gdal.org/ogr/drv_shapefile.html """ # Check file format basename, extension = os.path.splitext(filename) msg = ('Invalid file type for file %s. Only extensions ' 'shp or gml allowed.' % filename) assert extension == '.shp' or extension == '.gml', msg driver = DRIVER_MAP[extension] # FIXME (Ole): Tempory flagging of GML issue (ticket #18) if extension == '.gml': msg = ('OGR GML driver does not store geospatial reference.' 'This format is disabled for the time being. See ' 'https://github.com/AIFDR/riab/issues/18') raise Exception(msg) # Derive layername from filename (excluding preceding dirs) layername = os.path.split(basename)[-1] # Get vector data geometry = self.get_geometry() data = self.get_data() N = len(geometry) # Clear any previous file of this name (ogr does not overwrite) try: os.remove(filename) except: pass # Create new file with one layer drv = ogr.GetDriverByName(driver) if drv is None: msg = 'OGR driver %s not available' % driver raise Exception(msg) ds = drv.CreateDataSource(filename) if ds is None: msg = 'Creation of output file %s failed' % filename raise Exception(msg) lyr = ds.CreateLayer(layername, self.projection.spatial_reference, self.geometry_type) if lyr is None: msg = 'Could not create layer %s' % layername raise Exception(msg) # Define attributes if any store_attributes = False if data is not None: if len(data) > 0: try: fields = data[0].keys() except: msg = ('Input parameter "attributes" was specified ' 'but it does not contain dictionaries with ' 'field information as expected. The first' 'element is %s' % data[0]) raise Exception(msg) else: # Establish OGR types for each element ogrtypes = {} for name in fields: att = data[0][name] py_type = type(att) msg = ('Unknown type for storing vector ' 'data: %s, %s' % (name, str(py_type)[1:-1])) assert py_type in TYPE_MAP, msg ogrtypes[name] = TYPE_MAP[py_type] else: msg = ('Input parameter "data" was specified ' 'but appears to be empty') raise Exception(msg) # Create attribute fields in layer store_attributes = True for name in fields: fd = ogr.FieldDefn(name, ogrtypes[name]) # FIXME (Ole): Trying to address issue #16 # But it doesn't work and # somehow changes the values of MMI in test #width = max(128, len(name)) #print name, width #fd.SetWidth(width) # Silent handling of warnings like # Warning 6: Normalized/laundered field name: #'CONTENTS_LOSS_AUD' to 'CONTENTS_L' gdal.PushErrorHandler('CPLQuietErrorHandler') if lyr.CreateField(fd) != 0: msg = 'Could not create field %s' % name raise Exception(msg) # Restore error handler gdal.PopErrorHandler() # Store geometry geom = ogr.Geometry(self.geometry_type) layer_def = lyr.GetLayerDefn() for i in range(N): # Create new feature instance feature = ogr.Feature(layer_def) # Store geometry and check if self.geometry_type == ogr.wkbPoint: x = float(geometry[i][0]) y = float(geometry[i][1]) geom.SetPoint_2D(0, x, y) elif self.geometry_type == ogr.wkbPolygon: wkt = array2wkt(geometry[i], geom_type='POLYGON') geom = ogr.CreateGeometryFromWkt(wkt) else: msg = 'Geometry type %s not implemented' % self.geometry_type raise Exception(msg) feature.SetGeometry(geom) G = feature.GetGeometryRef() if G is None: msg = 'Could not create GeometryRef for file %s' % filename raise Exception(msg) # Store attributes if store_attributes: for j, name in enumerate(fields): actual_field_name = layer_def.GetFieldDefn(j).GetNameRef() val = data[i][name] if type(val) == numpy.ndarray: # A singleton of type <type 'numpy.ndarray'> works # for gdal version 1.6 but fails for version 1.8 # in SetField with error: NotImplementedError: # Wrong number of arguments for overloaded function val = float(val) elif val is None: val = '' feature.SetField(actual_field_name, val) # Save this feature if lyr.CreateFeature(feature) != 0: msg = 'Failed to create feature %i in file %s' % (i, filename) raise Exception(msg) feature.Destroy() # Write keywords if any write_keywords(self.keywords, basename + '.keywords') # FIXME (Ole): Maybe store style_info def get_attribute_names(self): """ Get available attribute names These are the ones that can be used with get_data """ return self.data[0].keys() def get_data(self, attribute=None, index=None): """Get vector attributes Data is returned as a list where each entry is a dictionary of attributes for one feature. Entries in get_geometry() and get_data() are related as 1-to-1 If optional argument attribute is specified and a valid name, then the list of values for that attribute is returned. If optional argument index is specified on the that value will be returned. Any value of index is ignored if attribute is None. """ if hasattr(self, 'data'): if attribute is None: return self.data else: msg = ('Specified attribute %s does not exist in ' 'vector layer %s. Valid names are %s' '' % (attribute, self, self.data[0].keys())) assert attribute in self.data[0], msg if index is None: # Return all values for specified attribute return [x[attribute] for x in self.data] else: # Return value for specified attribute and index msg = ('Specified index must be either None or ' 'an integer. I got %s' % index) assert type(index) == type(0) msg = ('Specified index must lie within the bounds ' 'of vector layer %s which is [%i, %i]' '' % (self, 0, len(self) - 1)) assert 0 <= index < len(self) return self.data[index][attribute] else: msg = 'Vector data instance does not have any attributes' raise Exception(msg) def get_geometry(self): """Return geometry for vector layer. Depending on the feature type, geometry is geometry type output type ----------------------------- point coordinates (Nx2 array of longitudes and latitudes) line TODO polygon list of arrays of coordinates """ return self.geometry def get_projection(self, proj4=False): """Return projection of this layer as a string """ return self.projection.get_projection(proj4) def get_bounding_box(self): """Get bounding box coordinates for vector layer. Format is [West, South, East, North] """ e = self.extent return [e[0], # West e[2], # South e[1], # East e[3]] # North def get_extrema(self, attribute=None): """Get min and max values from specified attribute Return min, max """ if attribute is None: msg = ('Valid attribute name must be specified in get_extrema ' 'for vector layers. I got None.') raise RuntimeError(msg) x = self.get_data(attribute) return min(x), max(x) def get_topN(self, attribute, N=10): """Get top N features Input attribute: The name of attribute where values are sought N: How many Output layer: New vector layer with selected features """ # FIXME (Ole): Maybe generalise this to arbitrary expressions # Input checks msg = ('Specfied attribute must be a string. ' 'I got %s' % (type(attribute))) assert isinstance(attribute, basestring), msg msg = 'Specified attribute was empty' assert attribute != '', msg msg = 'N must be a positive number. I got %i' % N assert N > 0, msg # Create list of values for specified attribute values = self.get_data(attribute) # Sort and select using Schwarzian transform A = zip(values, self.data, self.geometry) A.sort() # Pick top N and unpack _, data, geometry = zip(*A[-N:]) # Create new Vector instance and return return Vector(data=data, projection=self.get_projection(), geometry=geometry) def interpolate(self, X, name=None, attribute=None): """Interpolate values of this vector layer to other layer Input X: Layer object defining target name: Optional name of interpolated layer attribute: Optional attribute name to use. If None, all attributes are used. Output Y: Layer object with values of this vector layer interpolated to geometry of input layer X """ msg = 'Input to Vector.interpolate must be a vector layer instance' assert X.is_vector, msg X_projection = X.get_projection() S_projection = self.get_projection() msg = ('Projections must be the same: I got %s and %s' % (S_projection, X_projection)) assert S_projection == X_projection, msg msg = ('Vector layer to interpolate from must be polygon geometry. ' 'I got OGR geometry type %s' % geometrytype2string(self.geometry_type)) assert self.is_polygon_data, msg # FIXME (Ole): Maybe organise this the same way it is done with rasters if X.is_polygon_data: # Use centroids, in case of polygons X = convert_polygons_to_centroids(X) msg = ('Vector layer to interpolate to must be point geometry. ' 'I got OGR geometry type %s' % geometrytype2string(X.geometry_type)) assert X.is_point_data, msg msg = ('Name must be either a string or None. I got %s' % (str(type(X)))[1:-1]) assert name is None or isinstance(name, basestring), msg msg = ('Attribute must be either a string or None. I got %s' % (str(type(X)))[1:-1]) assert attribute is None or isinstance(attribute, basestring), msg attribute_names = self.get_attribute_names() if attribute is not None: msg = ('Requested attribute "%s" did not exist in %s' % (attribute, attribute_names)) assert attribute in attribute_names, msg #---------------- # Start algorithm #---------------- # Extract point features points = ensure_numeric(X.get_geometry()) attributes = X.get_data() N = len(X) # Extract polygon features geom = self.get_geometry() data = self.get_data() assert len(geom) == len(data) # Augment point features with empty attributes from polygon for a in attributes: if attribute is None: # Use all attributes for key in attribute_names: a[key] = None else: # Use only requested attribute a[attribute] = None # Always create attribute to indicate if point was # inside any of the polygons a[DEFAULT_ATTRIBUTE] = None # Traverse polygons and assign attributes to points that fall inside for i, polygon in enumerate(geom): if attribute is None: # Use all attributes poly_attr = data[i] else: # Use only requested attribute poly_attr = {attribute: data[i][attribute]} # Assign default attribute to indicate points inside poly_attr[DEFAULT_ATTRIBUTE] = True # Clip data points by polygons and add polygon attributes indices = inside_polygon(points, polygon) for k in indices: for key in poly_attr: # Assign attributes from polygon to points attributes[k][key] = poly_attr[key] # Create new Vector instance and return V = Vector(data=attributes, projection=X.get_projection(), geometry=X.get_geometry()) return V @property def is_raster(self): return False @property def is_vector(self): return True @property def is_point_data(self): return self.is_vector and self.geometry_type == ogr.wkbPoint @property def is_line_data(self): return self.is_vector and self.geometry_type == ogr.wkbLineString @property def is_polygon_data(self): return self.is_vector and self.geometry_type == ogr.wkbPolygon @property def is_riab_spatial_object(self): return True
def __init__(self, data=None, projection=None, geometry=None, geometry_type=None, name='', keywords=None, style_info=None): """Initialise object with either geometry or filename Input data: Can be either * a filename of a vector file format known to GDAL * List of dictionaries of fields associated with point coordinates * None projection: Geospatial reference in WKT format. Only used if geometry is provide as a numeric array, geometry: A list of either point coordinates or polygons/lines (see note below) geometry_type: Desired interpretation of geometry. Valid options are 'point', 'line', 'polygon' or the ogr types: 1, 2, 3 If None, a geometry_type will be inferred name: Optional name for layer. Only used if geometry is provide as a numeric array keywords: Optional dictionary with keywords that describe the layer. When the layer is stored, these keywords will be written into an associated file with extension .keywords. Keywords can for example be used to display text about the layer in a web application. Notes If data is a filename, all other arguments are ignored as they will be inferred from the file. The geometry type will be inferred from the dimensions of geometry. If each entry is one set of coordinates the type will be ogr.wkbPoint, if it is an array of coordinates the type will be ogr.wkbPolygon. Each polygon or line feature take the form of an Nx2 array representing vertices where line segments are joined """ if data is None and projection is None and geometry is None: # Instantiate empty object self.name = name self.projection = None self.geometry = None self.geometry_type = None self.filename = None self.data = None self.extent = None self.keywords = {} self.style_info = {} return if isinstance(data, basestring): self.read_from_file(data) else: # Assume that data is provided as sequences provided as # arguments to the Vector constructor # with extra keyword arguments supplying metadata self.name = name self.filename = None if keywords is None: self.keywords = {} else: msg = ('Specified keywords must be either None or a ' 'dictionary. I got %s' % keywords) verify(isinstance(keywords, dict), msg) self.keywords = keywords if style_info is None: self.style_info = {} else: msg = ('Specified style_info must be either None or a ' 'dictionary. I got %s' % style_info) verify(isinstance(style_info, dict), msg) self.style_info = style_info msg = 'Geometry must be specified' verify(geometry is not None, msg) msg = 'Geometry must be a sequence' verify(is_sequence(geometry), msg) self.geometry = geometry self.geometry_type = get_geometry_type(geometry, geometry_type) #msg = 'Projection must be specified' #verify(projection is not None, msg) self.projection = Projection(projection) if data is None: # Generate default attribute as OGR will do that anyway # when writing data = [] for i in range(len(geometry)): data.append({'ID': i}) # Check data self.data = data if data is not None: msg = 'Data must be a sequence' verify(is_sequence(data), msg) msg = ('The number of entries in geometry and data ' 'must be the same') verify(len(geometry) == len(data), msg)
class Render(object): """ This class handles the OpenGL rendering process This is separate from the pyglet rendering, as it runs using OpenGL directly """ # ------------------------------------------------------------------ # HANDLE INITIALIZATION # ------------------------------------------------------------------ def __init__(self, *args, **kwargs): """ General initialization function for OpenGL, readying all the non-stimuli images and setting the parameters for rendering parameters """ # Initialize the OpenGL parameters self.__init_GL() opengl_info() stereo = False if not STIMULI_ONLY: # Initiate the message textures we will use in the experiment self.__init_messages() # Initiate the fixation point texture we will use self.__init_fix() # Initialize the geometry self.__init_geometry() # Initialize the lighting self.__init_lighting() if args: # self.__init_VBO(args) self.__init_projection(args) stereo = args[-1] self.__init_modelview() self.__init_stereo(stereo) self.__init_grid() # Enable the basic GL_STATES that will be in use throughout # the experiment self.enable_GL_STATE() def __init_GL(self): """ General initialization module for OpenGL, setting all of the parameters to be use throughout the experiment """ # Set the background color to black glClearColor(0.0, 0.0, 0.0, 1.0) # Set the clearing depth buffer glClearDepth(1.0) # Select type of depth test to perform glDepthFunc(GL_LEQUAL) # Really good for perspective calculations glHint(GL_PERSPECTIVE_CORRECTION_HINT, GL_NICEST) def __init_messages(self): """ Prepare all the message images for rendering as textures """ # Store all the message images here self.messages = {} # Iterating through all the message images for filename in IMG_MSG: # Get the name of the message state state = findall(r'\\(\w+)\.jpg', filename) # If the regex finds something, use the first element # of the resultant list if state: state = state[0] # Load the image self.messages[state] = load(filename) def __init_fix(self): # Load the fixation point image from directory self.fix_image = load(IMG_FIX) def __init_stereo(self, stereo): if stereo: self.buffers = [GL_BACK_LEFT, GL_BACK_RIGHT] else: self.buffers = [GL_BACK] def __init_grid(self): self.translate_stimuli = [ (-2.0, 4.0), (0.0, 4.0), (2.0, 4.0), (-2.0, 2.0), (0.0, 2.0), (2.0, 2.0), (-2.0, 0.0), (0.0, 0.0), (2.0, 0.0), (-2.0, -2.0), (0.0, -2.0), (2.0, -2.0) ] self.translate_stimuli = [(0.0, 0.0)] self.translate_message = [(0.0, 0.0)] # def __init_VBO(self, args): # Calculate the width displacement from the midpoint of the screen # wd = round(self.fix_image.width / float(args[0]), 2) # Calculate the height displacement from the midpoint of the screen # hd = round(self.fix_image.height / float(args[1]), 2) # self.vbo = VBO(wd, hd) # ------------------------------------------------------------------ # HANDLE GEOMETRY # ------------------------------------------------------------------ def __init_geometry(self): """ This module sets the geometry to be used in the rendering of the display messages and stimuli """ # Set values for geometry that will be used later self.rotation = {'X': 0.0, 'Y': 0.0, 'Z': 0.0} self.translation = {'X': 0.0, 'Y': 0.0, 'Z': STIMULI_DEPTH} self.scale = {'X': 1.0, 'Y': 1.0, 'Z': 1.0} def __set_geometry(self): """ Setup the geometry for the model Takes care of the translation, rotation and scaling needs of the model """ # Switch to modelview glMatrixMode(GL_MODELVIEW) # Reset The View glLoadIdentity() # Move into the screen glTranslatef(self.translation['X'], self.translation['Y'], self.translation['Z']) # Rotate the texture on its X-axis glRotatef(self.rotation['X'] * -1, 1.0, 0.0, 0.0) # Rotate the texture on its Y-axis glRotatef(self.rotation['Y'] * -1, 0.0, 1.0, 0.0) # Rotate the texture on its Z-axis glRotatef(self.rotation['Z'] * -1, 0.0, 0.0, 1.0) # Scale the texture # For Z-axis, multiply it by the HEIGHT_RATIO set glScalef(self.scale['X'], self.scale['Y'], self.scale['Z']) # ------------------------------------------------------------------ # HANDLE MATRICES # ------------------------------------------------------------------ def __init_projection(self, args): self.projection = Projection(args[0], args[1], args[2]) def __init_modelview(self): self.modelview = ModelView() def __set_modelview(self): self.modelview.set_matrix(self.rotation, self.scale, self.translation) # ------------------------------------------------------------------ # HANDLE LIGHTING # ------------------------------------------------------------------ def __init_lighting(self): """ This module sets the lighting parameters to be used by the shaders in the rendering of the stimuli NOTE: This is used only with the rendering of stimuli, it is not used with the display of messages or the fixation point """ # Set the light position # If there is only light source being used, set it to the first # element of LIGHT_POSITION if len(LIGHT_POSITION) == 1: self.light_position = LIGHT_POSITION[0] # If there are multiple light sources, we keep it as a list else: self.light_position = LIGHT_POSITION # Set the light color # If there is only light source being used, set it to the first # element of LIGHT_COLOR if len(LIGHT_COLOR) == 1: self.light_color = LIGHT_COLOR[0] # If there are multiple light sources, we keep it as a list else: self.light_color = LIGHT_COLOR # ------------------------------------------------------------------ # HANDLE OPENGL STATES # ------------------------------------------------------------------ def enable_GL_STATE(self): """ Enables all required OpenGL states This module will enable: - Depth Test - Texture - Array Buffers """ glEnable(GL_DEPTH_TEST) glEnable(GL_TEXTURE_2D) if not ENABLE_SHADER or GLSL_VERSION == 130: # Enable all the corresponding buffer arrays glEnableClientState(GL_TEXTURE_COORD_ARRAY) glEnableClientState(GL_VERTEX_ARRAY) glEnableClientState(GL_NORMAL_ARRAY) def disable_GL_STATE(self): """ Disables all enabled OpenGL states This module will disable: - Depth Test - Array Buffers for complete shutdown of all GL_STATES """ glDisable(GL_DEPTH_TEST) glDisable(GL_TEXTURE_2D) if not ENABLE_SHADER or GLSL_VERSION == 130: # Disable all the corresponding buffer arrays glDisableClientState(GL_VERTEX_ARRAY) glDisableClientState(GL_TEXTURE_COORD_ARRAY) glDisableClientState(GL_NORMAL_ARRAY) # ------------------------------------------------------------------ # HANDLE VERTEX BUFFER OBJECTS # # THIS CODE HAS NOW BEEN MOVE TO vbo.py # AND IMPLEMENTED WITH MULTI-THREADING # ------------------------------------------------------------------ def create_VBO(self, window_width, window_height): """ Create OpenGL Vertex Buffer Objects as need for: - Non-stimuli images - Stimuli images """ scaleX = SCALE_X scaleY = SCALE_Y if not ENABLE_SHADER or GLSL_VERSION == 130: scaleX = 1.0 scaleY = 1.0 if not STIMULI_ONLY: self.message_VBO = {} # Create the Vertex Buffer Object to house the texture # coordinates and vertices for message display self.__message_VBO(window_width, window_height, scaleX, scaleY) self.stimuli_VBO = {} # Create the Vertex Buffer Object to house the texture # coordinates, vertices and normals for the stimuli self.__stimuli_VBO(scaleX, scaleY) def __message_VBO(self, width, height, scaleX, scaleY): """ Create the Vertex Buffer Objects for message display """ # Calculate the width displacement from the midpoint of the screen wd = round(self.fix_image.width / float(width), 2) # Calculate the height displacement from the midpoint of the screen hd = round(self.fix_image.height / float(height), 2) # Create the buffer array for Vertex l = [ [(0.0 - wd) * scaleX, (0.0 - hd) * scaleY], [(0.0 + wd) * scaleX, (0.0 - hd) * scaleY], [(0.0 + wd) * scaleX, (0.0 + hd) * scaleY], [(0.0 - wd) * scaleX, (0.0 + hd) * scaleY] ] self.message_VBO['vertex'] = VertexBuffer(array(l, dtype=float32)) # Create the buffer array for TexCoord l = [[0.0, 0.0], [1.0, 0.0], [1.0, 1.0], [0.0, 1.0]] self.message_VBO['texcoord'] = VertexBuffer(array(l, dtype=float32)) # Create the buffer array for Normal l = [[0.0, 0.0, 1.0], [0.0, 0.0, 1.0], [0.0, 0.0, 1.0], [0.0, 0.0, 1.0]] self.message_VBO['normal'] = VertexBuffer(array(l, dtype=float32)) # def __message_VBO2(self, width, height): # """ # Create the Vertex Buffer Objects for message display # """ # # Calculate the width displacement from the midpoint of the screen # wd = round(self.fix_image.width / float(width), 2) # # Calculate the height displacement from the midpoint of the screen # hd = round(self.fix_image.height / float(height), 2) # # vertices = [ # # VERTEX TEXCOORD NORMAL # [0.0 - wd, 0.0 - hd, 0.0, 0.0, 0.0, 0.0, 1.0], # [0.0 + wd, 0.0 - hd, 1.0, 0.0, 0.0, 0.0, 1.0], # [0.0 + wd, 0.0 + hd, 1.0, 1.0, 0.0, 0.0, 1.0], # [0.0 - wd, 0.0 + hd, 0.0, 1.0, 0.0, 0.0, 1.0] # ] # # self.message_VBO = VertexBuffer(array(vertices, dtype=float32)) def __stimuli_VBO(self, scaleX, scaleY): """ Create the Vertex Buffer Objects for stimuli display """ # Initiate the VBOs pertaining to the stimuli texture self.stimuli_VBO['vertex'] = [] self.stimuli_VBO['texcoord'] = [] self.stimuli_VBO['normal'] = [] t0 = time() # Iterate through the points, moving up by the preset value: # STEP_SIZE for X in xrange(0, WIDTH - STEP_SIZE + 1, STEP_SIZE): for Y in xrange(0, HEIGHT - STEP_SIZE + 1, STEP_SIZE): # BOTTOM LEFT CORNER x, y, vertX, vertY = get_coords(X, Y, scaleX, scaleY) self.stimuli_VBO['vertex'].append([vertX, vertY]) self.stimuli_VBO['texcoord'].append([x, y]) # BOTTOM RIGHT CORNER x, y, vertX, vertY = get_coords(X + STEP_SIZE, Y, scaleX, scaleY) self.stimuli_VBO['vertex'].append([vertX, vertY]) self.stimuli_VBO['texcoord'].append([x, y]) # TOP RIGHT CORNER x, y, vertX, vertY = get_coords(X + STEP_SIZE, Y + STEP_SIZE, scaleX, scaleY) self.stimuli_VBO['vertex'].append([vertX, vertY]) self.stimuli_VBO['texcoord'].append([x, y]) # TOP LEFT CORNER x, y, vertX, vertY = get_coords(X, Y + STEP_SIZE, scaleX, scaleY) self.stimuli_VBO['vertex'].append([vertX, vertY]) self.stimuli_VBO['texcoord'].append([x, y]) for i in range(0, 4): self.stimuli_VBO['normal'].append([0.0, 0.0, 1.0]) # Instatiate the Vertex Buffer Objects using VertexBuffer self.stimuli_VBO['vertex'] = \ VertexBuffer(array(self.stimuli_VBO['vertex'], dtype=float32)) self.stimuli_VBO['texcoord'] = \ VertexBuffer(array(self.stimuli_VBO['texcoord'], dtype=float32)) self.stimuli_VBO['normal'] = \ VertexBuffer(array(self.stimuli_VBO['normal'], dtype=float32)) print 'Preparing the VBOs took %s seconds' % get_time(t0, time()) # def __stimuli_VBO2(self): # """ # Create the Vertex Buffer Objects for stimuli display # """ # vertices = [] # indices = [] # next_column = HEIGHT / STEP_SIZE + 1 # # # Iterate through the points, moving up by the preset value: # # STEP_SIZE # for X in xrange(0, WIDTH + 1, STEP_SIZE): # for Y in xrange(0, HEIGHT + 1, STEP_SIZE): # # Handle the VERTEX BUFFER OBJECT # x, y, vertX, vertY = self.__get_coords(X, Y) # vertices.append( # # VERTEX TEXCOORD # [vertX, vertY, x, y, # # NORMAL # 0.0, 0.0, 1.0] # ) # # # Handle the ELEMENT BUFFER OBJECT # index_x = X / STEP_SIZE # index_y = Y / STEP_SIZE # origin = index_x + index_y # # indices.append( # # BOTTOM LEFT CORNER # [origin, # # BOTTOM RIGHT CORNER # origin + next_column, # # TOP RIGHT CORNER # origin + next_column + 1, # # TOP LEFT CORNER # origin + 1 # ] # ) # # self.stimuli_VBO = VertexBuffer(array(vertices, dtype=float32)) # self.indices_VBO = VertexBuffer(array(indices, dtype=int32)) def bind_message(self): """ Bind all the Vertex Buffer Objects necessary for displaying messages and the fixation point """ # Bind all the Vertex Buffer Objects if ENABLE_SHADER and GLSL_VERSION == 330: self.message_VBO['vertex'].bind_attribute(0, 2, GL_FLOAT) self.message_VBO['texcoord'].bind_attribute(1, 2, GL_FLOAT) self.message_VBO['normal'].bind_attribute(2, 3, GL_FLOAT) else: self.message_VBO['vertex'].bind_vertices(2, GL_FLOAT) self.message_VBO['texcoord'].bind_texcoords(2, GL_FLOAT) self.message_VBO['normal'].bind_normals(GL_FLOAT) def bind_stimuli(self): """ Bind all the Vertex Buffer Objects necessary for displaying the stimuli """ # Bind all the Vertex Buffer Objects if ENABLE_SHADER and GLSL_VERSION == 330: self.stimuli_VBO['vertex'].bind_attribute(0, 2, GL_FLOAT) self.stimuli_VBO['texcoord'].bind_attribute(1, 2, GL_FLOAT) self.stimuli_VBO['normal'].bind_attribute(2, 3, GL_FLOAT) else: self.stimuli_VBO['vertex'].bind_vertices(2, GL_FLOAT) self.stimuli_VBO['texcoord'].bind_texcoords(2, GL_FLOAT) self.stimuli_VBO['normal'].bind_normals(GL_FLOAT) def unbind_all(self): if hasattr(self, 'message_VBO'): self.message_VBO['vertex'].unbind() self.message_VBO['texcoord'].unbind() self.message_VBO['normal'].unbind() if hasattr(self, 'stimuli_VBO'): self.stimuli_VBO['vertex'].unbind() self.stimuli_VBO['texcoord'].unbind() self.stimuli_VBO['normal'].unbind() # ------------------------------------------------------------------ # HANDLE SHADERS # ------------------------------------------------------------------ def create_shaders(self): """ Create the OpenGL program on the GPU and attach the shaders """ # If set to use shaders, enable them accordingly if ENABLE_SHADER: # Get the vertex shader vs = VertexShader(VERTEX_SHADER_FILE) # Get the fragment shader fs = FragmentShader(FRAGMENT_SHADER_FILE) # Assign the shader for the program self.shader = ShaderProgram(vs, fs) # Use the shader with the program self.shader.use() def pass_to_shaders(self, program, process_stimuli, colormap, heightmap, normalmap): """ Pass variables to shaders """ # ---------------------------------------------------------- # HANDLE DISPLACEMENT MAPPING VARIABLES # ---------------------------------------------------------- # Get the texture for colormap colormap = colormap.get_texture() # Work on GL_TEXTURE0 glActiveTexture(GL_TEXTURE0) # Bind the colormap glBindTexture(colormap.target, colormap.id) # Get the location of the colormap and pass it to the shader loc = glGetUniformLocation(program.id, 'colormap') glUniform1i(loc, 0) # Work on GL_TEXTURE_1 glActiveTexture(GL_TEXTURE1) # Get the location of the heightmap loc = glGetUniformLocation(program.id, 'heightmap') # If the use of heightmaps is enabled, this must mean we are # rendering the stimuli if process_stimuli: # Get the texture for heightmap heightmap = heightmap.get_texture() # Bind the displacement map glBindTexture(heightmap.target, heightmap.id) # Pass the variable colormap to the loc for heightmap in # the vertex shader glUniform1i(loc, 1) glActiveTexture(GL_TEXTURE2) loc = glGetUniformLocation(program.id, 'normalmap') normalmap = normalmap.get_texture() glBindTexture(normalmap.target, normalmap.id) glUniform1i(loc, 2) # ---------------------------------------------------------- # HANDLE LIGHTING VARIABLES # ---------------------------------------------------------- # Get the location of the light position and pass it to the # shader # loc = glGetUniformLocation(program.id, 'light_position') # glUniform3fv(loc, NUM_LIGHTS, self.light_position) # Get the location of the light color and pass it to the shader # loc = glGetUniformLocation(program.id, 'light_color') # glUniform3fv(loc, NUM_LIGHTS, self.light_color) loc = glGetUniformLocation(program.id, 'light_direction') glUniform3fv(loc, 1, LIGHT_DIRECTION) # ---------------------------------------------------------- # HANDLE ENABLERS # ---------------------------------------------------------- # Get the location of the enable_vertex variable and pass enabled # to it loc = glGetUniformLocation(program.id, 'process_stimuli') glUniform1iv(loc, 1, process_stimuli) loc = glGetUniformLocation(program.id, 'per_pixel') glUniform1iv(loc, 1, PER_PIXEL) # ---------------------------------------------------------- # HANDLE VERTEX BUFFER OBJECTS # ---------------------------------------------------------- # loc = glGetAttribLocation(program.id, 'vertVertex') # glVertexAttribPointer(loc, 2, GL_FLOAT, GL_FALSE, 0, None) # glEnableVertexAttribArray(loc) # loc = glGetAttribLocation(program.id, 'vertTexCoord') # if process_stimuli: # glVertexAttribPointer(loc, 2, GL_FLOAT, GL_FALSE, 0, # self.stimuli_stride) # else: # glVertexAttribPointer(loc, 2, GL_FLOAT, GL_FALSE, 0, # self.message_stride) # glEnableVertexAttribArray(loc) # loc = glGetAttribLocation(program.id, 'vertNormal') # if process_stimuli: # glVertexAttribPointer(loc, 3, GL_FLOAT, GL_FALSE, 0, # self.stimuli_stride * 2) # else: # glVertexAttribPointer(loc, 3, GL_FLOAT, GL_FALSE, 0, # self.message_stride * 2) # glEnableVertexAttribArray(loc) # ------------------------------------------------------------------ # HANDLE TEXTURE # ------------------------------------------------------------------ def assign_texture(self, texture, width=WIDTH, height=HEIGHT): """ Assign the texture for viewing in OpenGL """ # Bind the texture print texture.get_texture().id glBindTexture(GL_TEXTURE_2D, texture.get_texture().id) # Assign 2D texture glTexImage2D(GL_TEXTURE_2D, 0, GL_RGB, width, height, 0, GL_RGBA, GL_UNSIGNED_BYTE, pixel_access(texture)) # Settings for use of the texture glPixelStorei(GL_UNPACK_ALIGNMENT, 1) glTexParameterf(GL_TEXTURE_2D, GL_TEXTURE_WRAP_S, GL_REPEAT) glTexParameterf(GL_TEXTURE_2D, GL_TEXTURE_WRAP_T, GL_REPEAT) glTexParameterf(GL_TEXTURE_2D, GL_TEXTURE_MAG_FILTER, GL_LINEAR) glTexParameterf(GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, GL_LINEAR) glTexEnvf(GL_TEXTURE_ENV, GL_TEXTURE_ENV_MODE, GL_DECAL) # ------------------------------------------------------------------ # HANDLE OPENGL DRAWING # ------------------------------------------------------------------ def draw(self, render_stimuli=False, rot=0.0): """ General draw module that must decide between the draw module to use. It can either render a stimuli image or non-stimuli message or fixation point """ for count, color_buffer in enumerate(self.buffers): glDrawBuffer(color_buffer) # Clear the screen and the depth buffer glClear(GL_COLOR_BUFFER_BIT | GL_DEPTH_BUFFER_BIT) if ENABLE_SHADER and GLSL_VERSION == 330: self.projection.set_projection_matrix(self.projection\ .eyeshiftset[count]) else: self.projection.set_perspective(50.0) # If not drawing the stimuli, we can reset the geometry if not rot: # Initialize the geometry each time, to reset it self.__init_geometry() if render_stimuli: translate = self.translate_stimuli else: translate = self.translate_message if not count: rot = deg_to_rad(-rot) for x, y in translate: self.translation['Z'] = STIMULI_DEPTH self.translation['X'] = x * SCALE_X self.translation['Y'] = y * cos(rot) * SCALE_Y if y: self.translation['Z'] += (y * sin(rot) * SCALE_Y) # Now set the values if ENABLE_SHADER and GLSL_VERSION == 330: self.modelview.set_matrix(self.rotation, self.scale, self.translation) self.__pass_matrix() else: self.__set_geometry() # For testing purposes only # self.__print_matrices() # If we must render_stimuli, we call self.__draw_model if rot: self.__draw_model() # If we must render a non-stimuli image, # we call self.__draw_message else: self.__draw_message() def __pass_matrix(self): loc = glGetUniformLocation(self.shader.id, 'ProjectionMatrix') glUniformMatrix4fv(loc, 1, GL_FALSE, self.projection.matrix) loc = glGetUniformLocation(self.shader.id, 'ModelViewMatrix') glUniformMatrix4fv(loc, 1, GL_FALSE, self.modelview.matrix) loc = glGetUniformLocation(self.shader.id, 'NormalMatrix') glUniformMatrix3fv(loc, 1, GL_FALSE, self.modelview.normal) def __print_matrices(self): print 'GL_PROJECTION_MATRIX:' if ENABLE_SHADER: print self.projection.matrix else: print glGetFloatv(GL_PROJECTION_MATRIX) print 'GL_MODELVIEW_MATRIX:' if ENABLE_SHADER: print self.modelview.matrix else: print glGetFloatv(GL_MODELVIEW_MATRIX) def __draw_axis(self): """ Draw the three axes to indicate their positioning DEPRECATED """ glBegin(GL_LINES) # Draw line for X axis glColor3f(1.0, 0.0, 0.0) glVertex3f(0.0, 0.0, 0.0) glVertex3f(1.0, 0.0, 0.0) # Draw line for Y axis glColor3f(0.0, 1.0, 0.0) glVertex3f(0.0, 0.0, 0.0) glVertex3f(0.0, 1.0, 0.0) # Draw line for Z axis glColor3f(0.0, 0.0, 1.0) glVertex3f(0.0, 0.0, 0.0) glVertex3f(0.0, 0.0, 1.0) glEnd() def __draw_message(self): """ Draw the message or fixation point """ # Draw the quadrilateral mapping it to the texture glDrawArrays(GL_QUADS, 0, 4) def __draw_model(self): """ Draw the stimulus """ points = (WIDTH / STEP_SIZE) * (HEIGHT / STEP_SIZE) * 4 # If set to render solid, render the solid version if RENDER_SOLID: # Start drawing the quadrilateral glDrawArrays(GL_QUADS, 0, points) # Else produce wireframe else: # Draw lines to indicate the wireframe glDrawArrays(GL_LINES, 0, points)
def __init_projection(self, args): self.projection = Projection(args[0], args[1], args[2])
def __init__(self, data=None, projection=None, geometry=None, name='', keywords=None, style_info=None): """Initialise object with either geometry or filename Input data: Can be either * a filename of a vector file format known to GDAL * List of dictionaries of fields associated with point coordinates * None projection: Geospatial reference in WKT format. Only used if geometry is provide as a numeric array, geometry: A list of either point coordinates or polygons name: Optional name for layer. Only used if geometry is provide as a numeric array keywords: Optional dictionary with keywords that describe the layer. When the layer is stored, these keywords will be written into an associated file with extension .keywords. Keywords can for example be used to display text about the layer in a web application. Note that if data is a filename, all other arguments are ignored as they will be inferred from the file. The geometry type will be inferred from the dimensions of geometry. If each entry is one set of coordinates the type will be ogr.wkbPoint, if it is an array of coordinates the type will be ogr.wkbPolygon. """ if data is None and projection is None and geometry is None: # Instantiate empty object self.name = name self.projection = None self.geometry = None self.geometry_type = None self.filename = None self.data = None self.extent = None self.keywords = {} self.style_info = {} return if isinstance(data, basestring): self.read_from_file(data) else: # Assume that data is provided as sequences provided as # arguments to the Vector constructor # with extra keyword arguments supplying metadata self.name = name self.filename = None if keywords is None: self.keywords = {} else: msg = ('Specified keywords must be either None or a ' 'dictionary. I got %s' % keywords) assert isinstance(keywords, dict), msg self.keywords = keywords if style_info is None: self.style_info = {} else: msg = ('Specified style_info must be either None or a ' 'dictionary. I got %s' % style_info) assert isinstance(style_info, dict), msg self.style_info = style_info msg = 'Geometry must be specified' assert geometry is not None, msg msg = 'Geometry must be a sequence' assert is_sequence(geometry), msg self.geometry = geometry self.geometry_type = get_geometry_type(geometry) #msg = 'Projection must be specified' #assert projection is not None, msg self.projection = Projection(projection) self.data = data if data is not None: msg = 'Data must be a sequence' assert is_sequence(data), msg msg = ('The number of entries in geometry and data ' 'must be the same') assert len(geometry) == len(data), msg
def read_from_file(self, filename): """ Read and unpack vector data. It is assumed that the file contains only one layer with the pertinent features. Further it is assumed for the moment that all geometries are points. * A feature is a geometry and a set of attributes. * A geometry refers to location and can be point, line, polygon or combinations thereof. * The attributes or obtained through GetField() The full OGR architecture is documented at * http://www.gdal.org/ogr/ogr_arch.html * http://www.gdal.org/ogr/ogr_apitut.html Examples are at * danieljlewis.org/files/2010/09/basicpythonmap.pdf * http://invisibleroads.com/tutorials/gdal-shapefile-points-save.html * http://www.packtpub.com/article/geospatial-data-python-geometry """ basename, _ = os.path.splitext(filename) # Look for any keywords self.keywords = read_keywords(basename + '.keywords') # FIXME (Ole): Should also look for style file to populate style_info # Determine name if 'title' in self.keywords: vectorname = self.keywords['title'] else: # Use basename without leading directories as name vectorname = os.path.split(basename)[-1] self.name = vectorname self.filename = filename self.geometry_type = None # In case there are no features fid = ogr.Open(filename) if fid is None: msg = 'Could not open %s' % filename raise IOError(msg) # Assume that file contains all data in one layer msg = 'Only one vector layer currently allowed' if fid.GetLayerCount() > 1: msg = ('WARNING: Number of layers in %s are %i. ' 'Only the first layer will currently be ' 'used.' % (filename, fid.GetLayerCount())) raise Exception(msg) layer = fid.GetLayerByIndex(0) # Get spatial extent self.extent = layer.GetExtent() # Get projection p = layer.GetSpatialRef() self.projection = Projection(p) # Get number of features N = layer.GetFeatureCount() # Extract coordinates and attributes for all features geometry = [] data = [] for i in range(N): feature = layer.GetFeature(i) if feature is None: msg = 'Could not get feature %i from %s' % (i, filename) raise Exception(msg) # Record coordinates ordered as Longitude, Latitude G = feature.GetGeometryRef() if G is None: msg = ('Geometry was None in filename %s ' % filename) raise Exception(msg) else: self.geometry_type = G.GetGeometryType() if self.geometry_type == ogr.wkbPoint: geometry.append((G.GetX(), G.GetY())) elif self.geometry_type == ogr.wkbLineString: M = G.GetPointCount() coordinates = [] for j in range(M): coordinates.append((G.GetX(j), G.GetY(j))) # Record entire line as an Mx2 numpy array geometry.append(numpy.array(coordinates, dtype='d', copy=False)) elif self.geometry_type == ogr.wkbPolygon: ring = G.GetGeometryRef(0) M = ring.GetPointCount() coordinates = [] for j in range(M): coordinates.append((ring.GetX(j), ring.GetY(j))) # Record entire polygon ring as an Mx2 numpy array geometry.append(numpy.array(coordinates, dtype='d', copy=False)) #elif self.geometry_type == ogr.wkbMultiPolygon: # # FIXME: Unpact multiple polygons to simple polygons # # For hints on how to unpack see #http://osgeo-org.1803224.n2.nabble.com/ #gdal-dev-Shapefile-Multipolygon-with-interior-rings-td5391090.html # ring = G.GetGeometryRef(0) # M = ring.GetPointCount() # coordinates = [] # for j in range(M): # coordinates.append((ring.GetX(j), ring.GetY(j))) # # Record entire polygon ring as an Mx2 numpy array # geometry.append(numpy.array(coordinates, # dtype='d', # copy=False)) else: msg = ('Only point, line and polygon geometries are ' 'supported. ' 'Geometry type in filename %s ' 'was %s.' % (filename, self.geometry_type)) raise Exception(msg) # Record attributes by name number_of_fields = feature.GetFieldCount() fields = {} for j in range(number_of_fields): name = feature.GetFieldDefnRef(j).GetName() # FIXME (Ole): Ascertain the type of each field? # We need to cast each appropriately? # This is issue #66 # (https://github.com/AIFDR/riab/issues/66) #feature_type = feature.GetFieldDefnRef(j).GetType() fields[name] = feature.GetField(j) #print 'Field', name, feature_type, j, fields[name] data.append(fields) # Store geometry coordinates as a compact numeric array self.geometry = geometry self.data = data
def __init__( self, **kwargs ): ## get the Radius of Influence for the Barnes Analysis Projection.__init__( self, **kwargs ) self.RoI = kwargs.get( 'RoI', 80000 )
class Layer(object): """Common class for geospatial layers """ def __init__(self, name=None, projection=None, keywords=None, style_info=None, sublayer=None): """Common constructor for all types of layers See docstrings for class Raster and class Vector for details. """ # Name msg = ('Specified name must be a string or None. ' 'I got %s with type %s' % (name, str(type(name))[1:-1])) verify(isinstance(name, basestring) or name is None, msg) self.name = name # Projection self.projection = Projection(projection) # Keywords if keywords is None: self.keywords = {} else: msg = ('Specified keywords must be either None or a ' 'dictionary. I got %s' % keywords) verify(isinstance(keywords, dict), msg) self.keywords = keywords # Style info if style_info is None: self.style_info = {} else: msg = ('Specified style_info must be either None or a ' 'dictionary. I got %s' % style_info) verify(isinstance(style_info, dict), msg) self.style_info = style_info # Defaults self.sublayer = sublayer self.filename = None self.data = None def __ne__(self, other): """Override '!=' to allow comparison with other projection objecs """ return not self == other def get_name(self): return self.name def set_name(self, name): self.name = name def get_filename(self): return self.filename def get_projection(self, proj4=False): """Return projection of this layer as a string """ return self.projection.get_projection(proj4) def get_keywords(self, key=None): """Return a copy of the keywords dictionary Args: * key (optional): If specified value will be returned for key only """ if key is None: return self.keywords.copy() else: if key in self.keywords: return self.keywords[key] else: msg = ('Keyword %s does not exist in %s: Options are ' '%s' % (key, self.get_name(), self.keywords.keys())) raise Exception(msg) def get_style_info(self): """Return style_info dictionary """ return self.style_info def get_impact_summary(self): """Return 'impact_summary' keyword if present. Otherwise ''. """ if 'impact_summary' in self.keywords: return self.keywords['impact_summary'] else: return '' def get_total_needs(self): """Return 'total_needs' keyword if present. Otherwise ''. """ if 'total_needs' in self.keywords: return self.keywords['total_needs'] else: return '' def get_style_type(self): """Return style type of a layer. If not found, return None """ if self.style_info is None: return None return self.style_info.get('style_type', None) # Layer properties used to identify their types @property def is_inasafe_spatial_object(self): return True @property def is_raster(self): if 'Raster' in str(self.__class__): return True else: return False @property def is_vector(self): if 'Vector' in str(self.__class__): return True else: return False