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| _base_ = ["../_base_/default_runtime.py"] | |
| # misc custom setting | |
| batch_size = 12 # bs: total bs in all gpus | |
| mix_prob = 0.8 | |
| empty_cache = False | |
| enable_amp = False | |
| # model settings | |
| model = dict( | |
| type="DefaultSegmentor", | |
| backbone=dict( | |
| type="OctFormer-v1m1", | |
| in_channels=10, | |
| num_classes=20, | |
| fpn_channels=168, | |
| channels=(96, 192, 384, 384), | |
| num_blocks=(2, 2, 18, 2), | |
| num_heads=(6, 12, 24, 24), | |
| patch_size=26, | |
| stem_down=2, | |
| head_up=2, | |
| dilation=4, | |
| drop_path=0.5, | |
| nempty=True, | |
| octree_depth=11, | |
| octree_full_depth=2, | |
| ), | |
| criteria=[dict(type="CrossEntropyLoss", loss_weight=1.0, ignore_index=-1)], | |
| ) | |
| # scheduler settings | |
| epoch = 600 | |
| optimizer = dict(type="AdamW", lr=0.0015, weight_decay=0.05) | |
| scheduler = dict( | |
| type="MultiStepWithWarmupLR", | |
| milestones=[0.6, 0.9], | |
| gamma=0.1, | |
| warmup_rate=0.05, | |
| warmup_scale=1e-5, | |
| ) | |
| param_dicts = [dict(keyword="blocks", lr=0.00015)] | |
| # dataset settings | |
| dataset_type = "ScanNetDataset" | |
| data_root = "data/scannet" | |
| data = dict( | |
| num_classes=20, | |
| ignore_index=-1, | |
| names=[ | |
| "wall", | |
| "floor", | |
| "cabinet", | |
| "bed", | |
| "chair", | |
| "sofa", | |
| "table", | |
| "door", | |
| "window", | |
| "bookshelf", | |
| "picture", | |
| "counter", | |
| "desk", | |
| "curtain", | |
| "refridgerator", | |
| "shower curtain", | |
| "toilet", | |
| "sink", | |
| "bathtub", | |
| "otherfurniture", | |
| ], | |
| train=dict( | |
| type=dataset_type, | |
| split="train", | |
| data_root=data_root, | |
| transform=[ | |
| dict(type="CenterShift", apply_z=True), | |
| dict( | |
| type="RandomDropout", dropout_ratio=0.2, dropout_application_ratio=0.2 | |
| ), | |
| # dict(type="RandomRotateTargetAngle", angle=(1/2, 1, 3/2), center=[0, 0, 0], axis="z", p=0.75), | |
| dict(type="RandomRotate", angle=[-1, 1], axis="z", center=[0, 0, 0], p=0.5), | |
| dict(type="RandomRotate", angle=[-1 / 64, 1 / 64], axis="x", p=0.5), | |
| dict(type="RandomRotate", angle=[-1 / 64, 1 / 64], axis="y", p=0.5), | |
| dict(type="RandomScale", scale=[0.9, 1.1]), | |
| # dict(type="RandomShift", shift=[0.2, 0.2, 0.2]), | |
| dict(type="RandomFlip", p=0.5), | |
| dict(type="RandomJitter", sigma=0.005, clip=0.02), | |
| dict(type="ElasticDistortion", distortion_params=[[0.2, 0.4], [0.8, 1.6]]), | |
| dict(type="ChromaticAutoContrast", p=0.2, blend_factor=None), | |
| dict(type="ChromaticTranslation", p=0.95, ratio=0.1), | |
| dict(type="ChromaticJitter", p=0.95, std=0.05), | |
| # dict(type="HueSaturationTranslation", hue_max=0.2, saturation_max=0.2), | |
| # dict(type="RandomColorDrop", p=0.2, color_augment=0.0), | |
| dict( | |
| type="GridSample", | |
| grid_size=0.01, | |
| hash_type="fnv", | |
| mode="train", | |
| return_min_coord=True, | |
| return_displacement=True, | |
| project_displacement=True, | |
| ), | |
| dict(type="SphereCrop", sample_rate=0.8, mode="random"), | |
| dict(type="SphereCrop", point_max=120000, mode="random"), | |
| dict(type="CenterShift", apply_z=False), | |
| dict(type="NormalizeColor"), | |
| dict(type="ShufflePoint"), | |
| dict(type="ToTensor"), | |
| dict( | |
| type="Collect", | |
| keys=("coord", "normal", "segment"), | |
| feat_keys=("coord", "color", "normal", "displacement"), | |
| ), | |
| ], | |
| test_mode=False, | |
| ), | |
| val=dict( | |
| type=dataset_type, | |
| split="val", | |
| data_root=data_root, | |
| transform=[ | |
| dict(type="CenterShift", apply_z=True), | |
| dict( | |
| type="GridSample", | |
| grid_size=0.01, | |
| hash_type="fnv", | |
| mode="train", | |
| return_min_coord=True, | |
| return_displacement=True, | |
| project_displacement=True, | |
| ), | |
| # dict(type="SphereCrop", point_max=1000000, mode="center"), | |
| dict(type="CenterShift", apply_z=False), | |
| dict(type="NormalizeColor"), | |
| dict(type="ToTensor"), | |
| dict( | |
| type="Collect", | |
| keys=("coord", "normal", "segment"), | |
| feat_keys=("coord", "color", "normal", "displacement"), | |
| ), | |
| ], | |
| test_mode=False, | |
| ), | |
| test=dict( | |
| type=dataset_type, | |
| split="val", | |
| data_root=data_root, | |
| transform=[ | |
| dict(type="CenterShift", apply_z=True), | |
| dict(type="NormalizeColor"), | |
| ], | |
| test_mode=True, | |
| test_cfg=dict( | |
| voxelize=dict( | |
| type="GridSample", | |
| grid_size=0.01, | |
| hash_type="fnv", | |
| mode="test", | |
| keys=("coord", "color", "normal"), | |
| return_displacement=True, | |
| project_displacement=True, | |
| ), | |
| crop=None, | |
| post_transform=[ | |
| dict(type="CenterShift", apply_z=False), | |
| dict(type="ToTensor"), | |
| dict( | |
| type="Collect", | |
| keys=("coord", "normal", "index"), | |
| feat_keys=("coord", "color", "normal", "displacement"), | |
| ), | |
| ], | |
| aug_transform=[ | |
| [ | |
| dict( | |
| type="RandomRotateTargetAngle", | |
| angle=[0], | |
| axis="z", | |
| center=[0, 0, 0], | |
| p=1, | |
| ) | |
| ], | |
| [ | |
| dict( | |
| type="RandomRotateTargetAngle", | |
| angle=[1 / 2], | |
| axis="z", | |
| center=[0, 0, 0], | |
| p=1, | |
| ) | |
| ], | |
| [ | |
| dict( | |
| type="RandomRotateTargetAngle", | |
| angle=[1], | |
| axis="z", | |
| center=[0, 0, 0], | |
| p=1, | |
| ) | |
| ], | |
| [ | |
| dict( | |
| type="RandomRotateTargetAngle", | |
| angle=[3 / 2], | |
| axis="z", | |
| center=[0, 0, 0], | |
| p=1, | |
| ) | |
| ], | |
| [ | |
| dict( | |
| type="RandomRotateTargetAngle", | |
| angle=[0], | |
| axis="z", | |
| center=[0, 0, 0], | |
| p=1, | |
| ), | |
| dict(type="RandomScale", scale=[0.95, 0.95]), | |
| ], | |
| [ | |
| dict( | |
| type="RandomRotateTargetAngle", | |
| angle=[1 / 2], | |
| axis="z", | |
| center=[0, 0, 0], | |
| p=1, | |
| ), | |
| dict(type="RandomScale", scale=[0.95, 0.95]), | |
| ], | |
| [ | |
| dict( | |
| type="RandomRotateTargetAngle", | |
| angle=[1], | |
| axis="z", | |
| center=[0, 0, 0], | |
| p=1, | |
| ), | |
| dict(type="RandomScale", scale=[0.95, 0.95]), | |
| ], | |
| [ | |
| dict( | |
| type="RandomRotateTargetAngle", | |
| angle=[3 / 2], | |
| axis="z", | |
| center=[0, 0, 0], | |
| p=1, | |
| ), | |
| dict(type="RandomScale", scale=[0.95, 0.95]), | |
| ], | |
| [ | |
| dict( | |
| type="RandomRotateTargetAngle", | |
| angle=[0], | |
| axis="z", | |
| center=[0, 0, 0], | |
| p=1, | |
| ), | |
| dict(type="RandomScale", scale=[1.05, 1.05]), | |
| ], | |
| [ | |
| dict( | |
| type="RandomRotateTargetAngle", | |
| angle=[1 / 2], | |
| axis="z", | |
| center=[0, 0, 0], | |
| p=1, | |
| ), | |
| dict(type="RandomScale", scale=[1.05, 1.05]), | |
| ], | |
| [ | |
| dict( | |
| type="RandomRotateTargetAngle", | |
| angle=[1], | |
| axis="z", | |
| center=[0, 0, 0], | |
| p=1, | |
| ), | |
| dict(type="RandomScale", scale=[1.05, 1.05]), | |
| ], | |
| [ | |
| dict( | |
| type="RandomRotateTargetAngle", | |
| angle=[3 / 2], | |
| axis="z", | |
| center=[0, 0, 0], | |
| p=1, | |
| ), | |
| dict(type="RandomScale", scale=[1.05, 1.05]), | |
| ], | |
| [dict(type="RandomFlip", p=1)], | |
| ], | |
| ), | |
| ), | |
| ) | |