Comments (4)
Make it a list instead of dict_values
.
from raster-vision.
Is your CLASS_NAMES
defined? What about viz.class_names
? I can only reproduce that numpy error if I do
np.array(None)[[0]]
from raster-vision.
My class names is this one:
print(CLASS_NAMES)
This also works correctly:
print(viz.class_names)
Which gives me:
dict_values(['Fixed-wing Aircraft', 'Small Aircraft', 'Passenger/Cargo Plane', 'Helicopter', 'Passenger Vehicle', 'Small Car', 'Bus', 'Pickup Truck', 'Utility Truck', 'Truck', 'Cargo Truck', 'Truck Tractor w/ Box Trailer', 'Truck Tractor', 'Trailer', 'Truck Tractor w/ Flatbed Trailer', 'Truck Tractor w/ Liquid Tank', 'Crane Truck', 'Railway Vehicle', 'Passenger Car', 'Cargo/Container Car', 'Flat Car', 'Tank car', 'Locomotive', 'Maritime Vessel', 'Motorboat', 'Sailboat', 'Tugboat', 'Barge', 'Fishing Vessel', 'Ferry', 'Yacht', 'Container Ship', 'Oil Tanker', 'Engineering Vehicle', 'Tower crane', 'Container Crane', 'Reach Stacker', 'Straddle Carrier', 'Mobile Crane', 'Dump Truck', 'Haul Truck', 'Scraper/Tractor', 'Front loader/Bulldozer', 'Excavator', 'Cement Mixer', 'Ground Grader', 'Hut/Tent', 'Shed', 'Building', 'Aircraft Hangar', 'Damaged Building', 'Facility', 'Construction Site', 'Vehicle Lot', 'Helipad', 'Storage Tank', 'Shipping container lot', 'Shipping Container', 'Pylon', 'Tower'])
from raster-vision.
Thank you very much!
from raster-vision.
Related Issues (20)
- Support reading temporal data (i.e. time-series of multiple images of the same scene)
- Can't use a geojson as AOI in a SemanticSegmentationRandomWindowGeoDataset HOT 3
- ARM64 build currently broken HOT 1
- Unable to install RasterVision HOT 3
- Issues with using model bundle for prediction HOT 15
- Cannot import ClassConfig on Kaggle HOT 16
- Cannot save prediction using colors from ClassConfig HOT 4
- Improve unit test coverage of CLI and `Runner`s
- Multi-temporal raster source visualizer fails when batch size is 1 HOT 2
- Make it possible to exclude "null" class labels from the computation of metrics HOT 3
- RuntimeError: expected scalar type Long but found Int HOT 10
- Allow user to specify AOI box filtering behavior in sliding window datasets HOT 1
- self._hds cannot be converted to a Python object for pickling HOT 2
- Semantic Segmentation Labels not initializing properly from predictions when extent provided HOT 2
- use my trained modle to prediction ,has wrong happened HOT 2
- RuntimeError: The size of tensor a (82) must match the size of tensor b (64) at non-singleton dimension 3 HOT 4
- Migrate to `pydantic` v2
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from raster-vision.