| _base_ = ['./minkunet18_w32_torchsparse_8xb2-amp-15e_semantickitti.py'] | |
| model = dict( | |
| backbone=dict( | |
| base_channels=16, | |
| encoder_channels=[16, 32, 64, 128], | |
| decoder_channels=[128, 64, 48, 48]), | |
| decode_head=dict(channels=48)) | |
| # NOTE: Due to TorchSparse backend, the model performance is relatively | |
| # dependent on random seeds, and if random seeds are not specified the | |
| # model performance will be different (± 1.5 mIoU). | |
| randomness = dict(seed=1588147245) | |