From 0cb502445f8bd2a2d75921a05666ff60104050c2 Mon Sep 17 00:00:00 2001 From: matssteinweg Date: Wed, 1 Jan 2020 02:14:59 +0100 Subject: [PATCH] Tidy up a bit. Add comments. --- map.py | 67 ++++++++++++++++++++++++++++++++++++++++------------------ 1 file changed, 46 insertions(+), 21 deletions(-) diff --git a/map.py b/map.py index fda48db..41affc3 100644 --- a/map.py +++ b/map.py @@ -6,24 +6,36 @@ from skimage.draw import line_aa class Map: - """ - Handle for map message. Contains a subscriber to the map topic and - processes the map. Numpy array version of the - map available as member variable. - """ - def __init__(self, file_path, value_unknown=50, threshold_occupied=90, origin=[-30.0, -24.0], resolution=0.059999): + def __init__(self, file_path, threshold_occupied=100, + origin=(-30.0, -24.0), resolution=0.06): + """ + Constructor for map object. Map contains occupancy grid map data of + environment as well as meta information. + :param file_path: path to image of map + :param threshold_occupied: threshold value for binarization of map + image + :param origin: x and y coordinates of map origin in world coordinates + [m] + :param resolution: resolution in m/px + """ - self.value_unknown = value_unknown + # Set binarization threshold self.threshold_occupied = threshold_occupied - # instantiate member variables - self.data = np.array(Image.open(file_path))[:, :, 0] # numpy array containing map data + + # Numpy array containing map data + self.data = np.array(Image.open(file_path))[:, :, 0] + + # Process raw map image self.process_map() + + # Store meta information self.height = self.data.shape[0] # height of the map in px self.width = self.data.shape[1] # width of the map in px self.resolution = resolution # resolution of the map in m/px self.origin = origin # x and y coordinates of map origin # (bottom-left corner) in m + # Containers for user-specified additional obstacles and boundaries self.obstacles = list() self.boundaries = list() @@ -35,18 +47,18 @@ class Map: :param y: y coordinate in global coordinate system :return: discrete x and y coordinates in px """ - d_x = np.floor((x - self.origin[0]) / self.resolution) - d_y = np.floor((y - self.origin[1]) / self.resolution) + dx = int(np.floor((x - self.origin[0]) / self.resolution)) + dy = int(np.floor((y - self.origin[1]) / self.resolution)) - return int(d_x), int(d_y) + return dx, dy def m2w(self, dx, dy): """ - World2Map. Transform coordinates from global coordinate system to - map coordinates. - :param x: x coordinate in global coordinate system - :param y: y coordinate in global coordinate system - :return: discrete x and y coordinates in px + Map2World. Transform coordinates from map coordinate system to + global coordinates. + :param dx: x coordinate in map coordinate system + :param dy: y coordinate in map coordinate system + :return: x and y coordinates of cell center in global coordinate system """ x = (dx + 0.5) * self.resolution + self.origin[0] y = (dy + 0.5) * self.resolution + self.origin[1] @@ -55,15 +67,16 @@ class Map: def add_obstacles(self, obstacles): """ - Add obstacles to the path. + Add obstacles to the map. :param obstacles: list of obstacle objects """ # Extend list of obstacles self.obstacles.extend(obstacles) - # Iterate over list of obstacles + # Iterate over list of new obstacles for obstacle in obstacles: + # Compute radius of circular object in pixels radius_px = int(np.ceil(obstacle.radius / self.resolution)) # Get center coordinates of obstacle in map coordinates @@ -76,6 +89,11 @@ class Map: cx_px+radius_px][index] = 0 def add_boundary(self, boundaries): + """ + Add boundaries to the map. + :param boundaries: list of tuples containing coordinates of boundaries' + start and end points + """ # Extend list of boundaries self.boundaries.extend(boundaries) @@ -89,12 +107,19 @@ class Map: self.data[y, x] = 0 def process_map(self): - self.data = np.where(self.data >= 100, 1, 0) + """ + Process raw map image. Binarization and removal of small holes in map. + """ + + # Binarization using specified threshold + # 1 corresponds to free, 0 to occupied + self.data = np.where(self.data >= self.threshold_occupied, 1, 0) + + # Remove small holes in map corresponding to spurious measurements self.data = remove_small_holes(self.data, area_threshold=5, connectivity=8).astype(np.int8) - if __name__ == '__main__': map = Map('map_floor2.png') plt.imshow(map.data, cmap='gray')