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Runtime error
| # dataset settings | |
| _base_ = './mapillary_v1.py' | |
| metainfo = dict( | |
| classes=('Bird', 'Ground Animal', 'Curb', 'Fence', 'Guard Rail', 'Barrier', | |
| 'Wall', 'Bike Lane', 'Crosswalk - Plain', 'Curb Cut', 'Parking', | |
| 'Pedestrian Area', 'Rail Track', 'Road', 'Service Lane', | |
| 'Sidewalk', 'Bridge', 'Building', 'Tunnel', 'Person', 'Bicyclist', | |
| 'Motorcyclist', 'Other Rider', 'Lane Marking - Crosswalk', | |
| 'Lane Marking - General', 'Mountain', 'Sand', 'Sky', 'Snow', | |
| 'Terrain', 'Vegetation', 'Water', 'Banner', 'Bench', 'Bike Rack', | |
| 'Billboard', 'Catch Basin', 'CCTV Camera', 'Fire Hydrant', | |
| 'Junction Box', 'Mailbox', 'Manhole', 'Phone Booth', 'Pothole', | |
| 'Street Light', 'Pole', 'Traffic Sign Frame', 'Utility Pole', | |
| 'Traffic Light', 'Traffic Sign (Back)', 'Traffic Sign (Front)', | |
| 'Trash Can', 'Bicycle', 'Boat', 'Bus', 'Car', 'Caravan', | |
| 'Motorcycle', 'On Rails', 'Other Vehicle', 'Trailer', 'Truck', | |
| 'Wheeled Slow', 'Car Mount', 'Ego Vehicle'), | |
| palette=[[165, 42, 42], [0, 192, 0], [196, 196, 196], [190, 153, 153], | |
| [180, 165, 180], [90, 120, 150], [102, 102, 156], [128, 64, 255], | |
| [140, 140, 200], [170, 170, 170], [250, 170, 160], [96, 96, 96], | |
| [230, 150, 140], [128, 64, 128], [110, 110, 110], [244, 35, 232], | |
| [150, 100, 100], [70, 70, 70], [150, 120, 90], [220, 20, 60], | |
| [255, 0, 0], [255, 0, 100], [255, 0, 200], [200, 128, 128], | |
| [255, 255, 255], [64, 170, 64], [230, 160, 50], [70, 130, 180], | |
| [190, 255, 255], [152, 251, 152], [107, 142, 35], [0, 170, 30], | |
| [255, 255, 128], [250, 0, 30], [100, 140, 180], [220, 220, 220], | |
| [220, 128, 128], [222, 40, 40], [100, 170, 30], [40, 40, 40], | |
| [33, 33, 33], [100, 128, 160], [142, 0, 0], [70, 100, 150], | |
| [210, 170, 100], [153, 153, 153], [128, 128, 128], [0, 0, 80], | |
| [250, 170, 30], [192, 192, 192], [220, 220, 0], [140, 140, 20], | |
| [119, 11, 32], [150, 0, 255], [0, 60, 100], [0, 0, 142], | |
| [0, 0, 90], [0, 0, 230], [0, 80, 100], [128, 64, 64], [0, 0, 110], | |
| [0, 0, 70], [0, 0, 192], [32, 32, 32], [120, 10, 10]]) | |
| train_dataloader = dict(dataset=dict(metainfo=metainfo)) | |
| val_dataloader = dict(dataset=dict(metainfo=metainfo)) | |
| test_dataloader = val_dataloader | |