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Help about the Segmentation fault (core dumped) #171
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Try running install.sh again, then if you still have issues, try the users list to help you continue to troubleshoot: |
Scratch that. Switch to the |
Are we ready for existing features to merge in python-port? |
I download the python-port, and it showed me some errors in apt-get_install.log: E: Unable to locate package libgoogle-glog-dev. I found that the libgoogle-glog-dev was not available on 12.04 (http://askubuntu.com/questions/312173/installing-gflags-12-04). So, May be I should to change to Ubuntu 12.10. |
I build the google golg on Ubuntu12.04, and run the install shell, it showed me:
I tried to copy the bundler.zip from master branches and unzioed it into the src directory, and run it again. But it did not work. Could you give me some suggestions? |
I'm installing 12.04 right now to look into this. |
While I get this worked out, I would recommend updating to 14.04, which is definitely supported. |
Progress so far:
One thing to note: It looks like ceres wasn't showing up in your install. Make sure you have the latest merge by calling |
Thank you, now I can sucessfully built it on Ubuntu14.04. I think if we change the line 116 in install.pl to "sudo apt-get update -y > "$TOOLS_LOG_PATH/apt-get_get.log" 2>&1". So the installation shell may provide better experience for the users. Besides, I have some troubles when I run the program. I used image of IMG_9374.JPG IMG_9375.JPG IMG_9376.JPG IMG_9377.JPG IMG_9378.JPG IMG_9379 in https://github.com/OpenDroneMap/odm_data_caliterra as the input images, and I have checked those images which can be stitched well. Then I run the run.py, it showed me as below:
The program did not regonized the GPS info in exif, and the bundle module failed to perform well. Thank you for your time. |
I'm not near my computer to verify, but are we sure that Caliterra has embedded GPS? Not all datasets do. |
Caliterra has GPS Tags in the EXIF Data. |
Hi @xialang2012, did you use all the images in the Caliterra dataset, or a subset? Using a subset could easily result in a failure at the bundler step, as bundler will require 3 camera positions for each location in the output dataset. A subset of Caliterra has no guarantees of this completeness. |
@smathermather I used 6 images in the Caliterrra dataset, and all of those images are joint. Besides, I used Pix4d to process those images, and Pix4d could work well. |
I was able to run the caliterra dataset (both the complete dataset and the images @xialang2012 selected) without error, at least through the pmvs step. However I was running at 9 cores and 12GB RAM, so I pulled up a vagrant machine with 2 cores and 5GB RAM, and again found no errors in bundler. At what step of the process did you get the Extract UTM error? |
@dakotabenjamin Below is the running log:
In odm_extracting_utm_log.txt:
|
At first glance, it looks to me like the file capitalization issue hasn't been fixed in python-port. |
Try this on the images:
if you run into 'file already exists' errors, use the |
@dakotabenjamin It can work well, thank you. |
NP |
I installed the OpenDroneMap on my Ubuntu12.04, the installation worked well. When I used the test data download from the https://github.com/OpenDroneMap/odm_data to run the software. It showed the following errors:
O. Tange (2011): GNU Parallel - The Command-Line Power Tool,
;login: The USENIX Magazine, February 2011:42-47.
This helps funding further development; and it won't cost you a cent.
Or you can get GNU Parallel without this requirement by paying 10000 EUR.
To silence this citation notice run 'parallel --bibtex' once or use '--no-notice'.
Segmentation fault (core dumped)
quitting cause:
"/home/xl/opendronemap/OpenDroneMap-gh-pages/bin/bundler" "/home/xl/opendronemap/OpenDroneMap-gh-pages/reconstruction-with-image-size-2400/list.txt" --options_file "/home/xl/opendronemap/OpenDroneMap-gh-pages/reconstruction-with-image-size-2400/options.txt" > bundle/out
returned with code 35584
xl@ubuntu:~/opendronemap/
So, What should I do to resolve the problem. Thank you.
My Ubuntu owns 5GB RAM and 2 cores.
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