Comments (7)
Update:
The cpu memory is not enough, after increase the ram the problem can be resolved.
However, even the error stop the program, the dataset.pkl will still be saved. Therefore, remove the dataset.pkl in 'hfnet/dataset/robotcar/database/....pkl' and run it again the problem will be solved.
However, I have to ask another question is that after I get the dusk query result, the workshop website doesn't support individual subset result (e.g. dusk, sun, night, night-rain). May I ask how do you get that? Thanks
from hfnet.
Storing the localization database indeed requires a fair amount of RAM, particularly for RobotCar. Please note that our final entry in the benchmark, contrary to our CVPR paper, disables PCA.
AFAIK the only way to get results for the individual subsets is to directly ask Torsten Sattler @tsattler.
from hfnet.
Individual results are shown on the website by clicking on a method to show its details, e.g., https://www.visuallocalization.net/details/12/ .
from hfnet.
@Skydes @tsattler Thank you both very much.
However, may I ask one more thing @tsattler? The detail on the website seems to be very good, but it only available for the public submission cases :(. Therefore I cannot test the code before I want to make it public. Is it possible to enable the detail check on the private submission as well? Sorry to bother you guys so many times.
from hfnet.
We will work on making this information available for private submissions as well. However, the PhD student who set up the website is currently on an internship and we will not be able to make the changes before he is back in a few months.
from hfnet.
Thank you very much again
from hfnet.
@Skydes
Hello, i have issue that there not enough RAM for /hfnet/evaluation/utils/db_management/build_localization_dbs for Aachen dataset (I have 16 gb Ram and 32 gb swap). Are there any solutions to use less ram at the moment? It really looks like leak of RAM
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Related Issues (20)
- Is it possible to do the online localization pipeline with HF-Net without GPU? HOT 1
- hfnet inference with C++ HOT 1
- 'Config' error during evaluation lfnet for hpatches. HOT 1
- Hllo HOT 1
- About disstillation in the global descriptor HOT 3
- About the training process
- is the global descriptor of hfnet better than netvlad? HOT 3
- Training Dataset HOT 1
- NetVLAD Descriptors for Training HOT 1
- why triangulate the aachen 3D model according to matches instead of using 3d points provided? HOT 2
- Training with TUM HOT 6
- error during evaluation aachen
- Question about databases contents
- RobotCar Seasons evaluation issues HOT 4
- About train and evaluation of HFNet.
- Extremely large size npz files during SuperPoint export_predictions
- undefined variables output_types, output_shape HOT 1
- Hello professor, I met some problems while processing local evaluation.
- Experiences for adjusting the weights in the loss when retraining HFNET with 128D local descriptor
- Is python 3.6 mandatory?
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