Tidy up a bit. Add comments.

master
matssteinweg 2020-01-01 02:14:59 +01:00
parent b78f030378
commit 0cb502445f
1 changed files with 46 additions and 21 deletions

67
map.py
View File

@ -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')