I have generated a map named map_1.pgm using map_server package. I want to display it in an OpenCV window. How can I achieve this?

I am currently trying this -

std::string file_name = "map_1.pgm"; 
cv::Mat m = cv::imread(file_name.c_str(), 0);

cv::imshow("map_one_window", m);


This is my map_1.yaml

image: map_1.pgm
resolution: 0.050000
origin: [-100.000000, -100.000000, 0.000000]
negate: 0
occupied_thresh: 0.65
free_thresh: 0.196

However, on doing the above steps, I get a big OpenCV window which is completely grey.

How do I solve this problem?

I am attaching the results of xdg-open map_1.pgm. enter image description here


I am not familiar with ROS maps, but the threshold values in the yaml seem to indicate your map values are floats in the [0,1] range. I think OpenCV will not properly visualize these.

Check the minimum/maximum values in your matrix.

Try to generate a uint8 image with values in the [0,255] range for display, by just multiplying your map values with 255 (you may even have to make it a 3-channel image [with 3 identical channels] for OpenCV to handle it properly).

  • $\begingroup$ I didn't get the last paragraph of your answer - 'Try to generate .......... 255'. The dimensions of m are 4000 * 4000. I also checked the maximum and minimum value of elements in m. The maximum value is 254 and minimum value is 0. $\endgroup$ – skpro19 Mar 8 at 9:43
  • $\begingroup$ imshow works for me for a 1-channel uint8 matrix with values in [0,255] range. grasping at straws.. check the type of m? stackoverflow.com/questions/10167534/… other than that, if the actual matrix content is correct, I'm out of ideas. $\endgroup$ – Christof Schröter Mar 8 at 10:27
  • $\begingroup$ related to the "content is correct".. I trust you checked the map image in a standard image viewer, right? $\endgroup$ – Christof Schröter Mar 8 at 10:32
  • $\begingroup$ I am updating the post with the results of xdg-open map_1.pgm. The type of m is '0' or 'CV_8U'. $\endgroup$ – skpro19 Mar 8 at 14:56
  • $\begingroup$ When I resize both the dimensions of 'm' using the cv::resize function, I am able to see the white map surrounded by the grey space. I think, the image was always being displayed correctly. However, due to the large grey space surrounding the white map, I was not able to see the map. Reducing the size of m helped me to see the image. $\endgroup$ – skpro19 Mar 8 at 15:51

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