HeDo88TH
commented
1 year ago It fails regardless of --sfm-algorithm triangulation
Traceback (most recent call last):
File "C:\ODM\SuperBuild\install\bin\opensfm\bin\\opensfm_main.py", line 25, in <module>
commands.command_runner(
File "C:\ODM\SuperBuild\install\bin\opensfm\opensfm\commands\command_runner.py", line 38, in command_runner
command.run(data, args)
File "C:\ODM\SuperBuild\install\bin\opensfm\opensfm\commands\command.py", line 13, in run
self.run_impl(data, args)
File "C:\ODM\SuperBuild\install\bin\opensfm\opensfm\commands\detect_features.py", line 13, in run_impl
detect_features.run_dataset(dataset)
File "C:\ODM\SuperBuild\install\bin\opensfm\opensfm\actions\detect_features.py", line 15, in run_dataset
features_processing.run_features_processing(data, data.images(), False)
File "C:\ODM\SuperBuild\install\bin\opensfm\opensfm\features_processing.py", line 79, in run_features_processing
parallel_map(process, arguments, processes, 1)
File "C:\ODM\SuperBuild\install\bin\opensfm\opensfm\context.py", line 59, in parallel_map
res = Parallel(batch_size=batch_size)(delayed(func)(arg) for arg in args)
File "C:\ODM\venv\lib\site-packages\joblib\parallel.py", line 1056, in __call__
self.retrieve()
File "C:\ODM\venv\lib\site-packages\joblib\parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "multiprocessing\pool.py", line 768, in get
File "multiprocessing\pool.py", line 125, in worker
File "C:\ODM\venv\lib\site-packages\joblib\_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "C:\ODM\venv\lib\site-packages\joblib\parallel.py", line 262, in __call__
return [func(*args, **kwargs)
File "C:\ODM\venv\lib\site-packages\joblib\parallel.py", line 262, in <listcomp>
return [func(*args, **kwargs)
File "C:\ODM\SuperBuild\install\bin\opensfm\opensfm\features_processing.py", line 146, in process
read_images(queue, data, images, counter, expected, force)
File "C:\ODM\SuperBuild\install\bin\opensfm\opensfm\features_processing.py", line 163, in read_images
image_array = data.load_image(image)
File "C:\ODM\SuperBuild\install\bin\opensfm\opensfm\dataset.py", line 109, in load_image
return self.io_handler.imread(
File "C:\ODM\SuperBuild\install\bin\opensfm\opensfm\io.py", line 1494, in imread
return imread_from_fileobject(fb, grayscale, unchanged, anydepth)
File "C:\ODM\SuperBuild\install\bin\opensfm\opensfm\io.py", line 1248, in imread_from_fileobject
image = cv2.imdecode(im_buffer, flags)
cv2.error: OpenCV(4.5.0) D:\a\ODM\ODM\SuperBuild\src\opencv\modules\core\src\alloc.cpp:73: error: (-4:Insufficient memory) Failed to allocate 134184960 bytes in function 'cv::OutOfMemoryError'I have 64GB RAM and 12GB video card and it says this:
[WARNING] Image size (4096x2730px) would not fit in GPU memory, try lowering --feature-quality. Falling back to CPU
Without parameters it works. I think it's --dsm that causes this abnormal (?) memory usage.
How did you install ODM? (Docker, installer, natively, ...)?
Ubuntu 20.04
docker run -ti --detach --rm --tty --name odm_container -v /odm/datasets/project:/datasets/code opendronemap/odm --project-path /datasets \ --auto-boundary \ --orthophoto-resolution 1.5 \ --dsm \ --rerun-from dataset \ --force-gps \ --gps-accuracy 0.03 \ --sfm-algorithm triangulation
What is the problem?
3.0.3 texturing runs through memory and swap until it fails, only fails when using triangulation
What should be the expected behavior? If this is a feature request, please describe in detail the changes you think should be made to the code, citing files and lines where changes should be made, if possible.
Doesn't fail when not using triangulation
How can we reproduce this? What steps did you do to trigger the problem? If this is an issue with processing a dataset, YOU MUST include a copy of your dataset uploaded on Google Drive or Dropbox (otherwise we cannot reproduce this).
Data set and logfile are uploaded here: https://drive.google.com/drive/folders/1b1FaQ9dHYdlNohzoWKTxYTR2gK4SomED?usp=share_link