configs/votenet/votenet_8xb16_sunrgbd-3d.py

# TODO refactor the config of sunrgbd
_base_ = [
    '../_base_/datasets/sunrgbd-3d.py', '../_base_/models/votenet.py',
    '../_base_/schedules/schedule-3x.py', '../_base_/default_runtime.py'
]
# model settings
model = dict(
    bbox_head=dict(
        num_classes=10,
        bbox_coder=dict(
            type='PartialBinBasedBBoxCoder',
            num_sizes=10,
            num_dir_bins=12,
            with_rot=True,
            mean_sizes=[
                [2.114256, 1.620300, 0.927272], [0.791118, 1.279516, 0.718182],
                [0.923508, 1.867419, 0.845495], [0.591958, 0.552978, 0.827272],
                [0.699104, 0.454178, 0.75625], [0.69519, 1.346299, 0.736364],
                [0.528526, 1.002642, 1.172878], [0.500618, 0.632163, 0.683424],
                [0.404671, 1.071108, 1.688889], [0.76584, 1.398258, 0.472728]
            ]),
    ))
# Default setting for scaling LR automatically
#   - `enable` means enable scaling LR automatically
#       or not by default.
#   - `base_batch_size` = (8 GPUs) x (16 samples per GPU).
auto_scale_lr = dict(enable=False, base_batch_size=128)