Comments (2)
having the same issue actually. this is because "spacenet_gt/labels" contains .png masks while process_data.py expects .json
should spacenet_gt be included into the loop at all?
from xview2_baseline.
Hi, and thanks for putting in an Issue.
spacenet_gt
is for the localization training, your classification training should not touch this directory. Please move it out of the original image directory so process_data.py
can parse the original images and pull out the polygons. You can retrain the localization with train_model.py
, because you give the path to the spacenet_gt
directory it does not have to be alongside the original images to train.
If you are still experiencing issues put in another ticket, or chat with us on the Discord
from xview2_baseline.
Related Issues (19)
- Mentioned directory format in the README is missing 'train' , 'test' and 'hold' directories, process_data.py HOT 7
- Question about inference
- Final output image issue in inference steps HOT 3
- Discrepancy in fire names in xBD dataset? HOT 5
- Question about the Baseline results in your paper HOT 7
- Question about xBD dataset HOT 1
- xview_geotransforms.json HOT 2
- Potential bug in scaling in damange_inference.py
- Error while loading weights for damage_inference.py HOT 5
- Unable to view images after downloading "Full datasets with GEOTIFF metadata" HOT 6
- Path in Dockerfile does not exist in the repository HOT 2
- Format checking of train.csv
- Can not Decompress xview2 dataset HOT 3
- Cannot run data_finalize.sh HOT 9
- Issue in running train_model.py HOT 1
- Do we have some code or a software that can label the training image?
- Problem with inference.sh HOT 4
- problem with train_model.py HOT 1
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