forked from logzhan/RobotHardware-UESTC
35 lines
925 B
Python
35 lines
925 B
Python
|
import cv2
|
||
|
import numpy as np
|
||
|
|
||
|
def map_server_to_cv2(data):
|
||
|
# print(data.info.height, data.info.width)
|
||
|
data = np.reshape(data.data, (data.info.height, data.info.width))
|
||
|
data = np.flipud(data)
|
||
|
|
||
|
# -1 --> 205
|
||
|
# 0 --> 255
|
||
|
# 100--> 0
|
||
|
image = np.where(data == -1, 205, 255 - (255.0 * data / 100)).astype(np.uint8)
|
||
|
|
||
|
#cv2.imshow("cv2_map", data)
|
||
|
return image
|
||
|
|
||
|
|
||
|
def cv2_to_map_server(image):
|
||
|
image = np.flipud(image)
|
||
|
|
||
|
# 205 --> -1
|
||
|
# 255 --> 0
|
||
|
# 0 --> 100
|
||
|
data = np.where(image == 205, -1, (255 - image) * 100.0 / 255).astype(np.int8).flatten()
|
||
|
|
||
|
return list(data)
|
||
|
# pub_data = OccupancyGrid()
|
||
|
# pub_data.header.frame_id = "map"
|
||
|
# pub_data.header.stamp = rospy.Time.now()
|
||
|
# pub_data.info = map_data.info
|
||
|
# pub_data.data = list(data)
|
||
|
|
||
|
# print(len(pub_data.data), pub_data.info.height * pub_data.info.width)
|
||
|
|
||
|
# map_publisher.publish(pub_data)
|