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Running
on
Zero
| _base_ = [ | |
| "../_base_/default_runtime.py", | |
| "../_base_/dataset/scannetpp.py", | |
| ] | |
| # misc custom setting | |
| batch_size = 12 # bs: total bs in all gpus | |
| num_worker = 24 | |
| mix_prob = 0.8 | |
| empty_cache = False | |
| enable_amp = True | |
| # model settings | |
| model = dict( | |
| type="DefaultSegmentor", | |
| backbone=dict( | |
| type="PT-v2m2", | |
| in_channels=9, | |
| num_classes=100, | |
| patch_embed_depth=1, | |
| patch_embed_channels=48, | |
| patch_embed_groups=6, | |
| patch_embed_neighbours=8, | |
| enc_depths=(2, 2, 6, 2), | |
| enc_channels=(96, 192, 384, 512), | |
| enc_groups=(12, 24, 48, 64), | |
| enc_neighbours=(16, 16, 16, 16), | |
| dec_depths=(1, 1, 1, 1), | |
| dec_channels=(48, 96, 192, 384), | |
| dec_groups=(6, 12, 24, 48), | |
| dec_neighbours=(16, 16, 16, 16), | |
| grid_sizes=(0.06, 0.15, 0.375, 0.9375), # x3, x2.5, x2.5, x2.5 | |
| attn_qkv_bias=True, | |
| pe_multiplier=False, | |
| pe_bias=True, | |
| attn_drop_rate=0.0, | |
| drop_path_rate=0.3, | |
| enable_checkpoint=False, | |
| unpool_backend="map", # map / interp | |
| ), | |
| criteria=[ | |
| dict(type="CrossEntropyLoss", loss_weight=1.0, ignore_index=-1), | |
| dict(type="LovaszLoss", mode="multiclass", loss_weight=1.0, ignore_index=-1), | |
| ], | |
| ) | |
| # scheduler settings | |
| epoch = 900 | |
| optimizer = dict(type="AdamW", lr=0.005, weight_decay=0.02) | |
| scheduler = dict( | |
| type="OneCycleLR", | |
| max_lr=optimizer["lr"], | |
| pct_start=0.05, | |
| anneal_strategy="cos", | |
| div_factor=10.0, | |
| final_div_factor=1000.0, | |
| ) | |
| # dataset settings | |
| dataset_type = "ScanNetPPDataset" | |
| data_root = "data/scannetpp" | |
| data = dict( | |
| num_classes=100, | |
| ignore_index=-1, | |
| train=dict( | |
| type=dataset_type, | |
| split="train_grid1mm_chunk6x6_stride3x3", | |
| 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=0.05), | |
| 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=0.02, | |
| hash_type="fnv", | |
| mode="train", | |
| return_grid_coord=True, | |
| ), | |
| dict(type="SphereCrop", point_max=204800, mode="random"), | |
| dict(type="CenterShift", apply_z=False), | |
| dict(type="NormalizeColor"), | |
| # dict(type="ShufflePoint"), | |
| dict(type="ToTensor"), | |
| dict( | |
| type="Collect", | |
| keys=("coord", "grid_coord", "segment"), | |
| feat_keys=("coord", "color", "normal"), | |
| ), | |
| ], | |
| 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=0.02, | |
| hash_type="fnv", | |
| mode="train", | |
| return_grid_coord=True, | |
| ), | |
| dict(type="CenterShift", apply_z=False), | |
| dict(type="NormalizeColor"), | |
| dict(type="ToTensor"), | |
| dict( | |
| type="Collect", | |
| keys=("coord", "grid_coord", "segment"), | |
| feat_keys=("coord", "color", "normal"), | |
| ), | |
| ], | |
| test_mode=False, | |
| ), | |
| test=dict( | |
| type=dataset_type, | |
| split="val", | |
| data_root=data_root, | |
| transform=[ | |
| dict(type="CenterShift", apply_z=True), | |
| dict(type="NormalizeColor"), | |
| dict(type="Copy", keys_dict={"segment": "origin_segment"}), | |
| dict( | |
| type="GridSample", | |
| grid_size=0.01, | |
| hash_type="fnv", | |
| mode="train", | |
| keys=("coord", "color", "normal", "segment"), | |
| return_inverse=True, | |
| ), | |
| ], | |
| test_mode=True, | |
| test_cfg=dict( | |
| voxelize=dict( | |
| type="GridSample", | |
| grid_size=0.02, | |
| hash_type="fnv", | |
| mode="test", | |
| keys=("coord", "color", "normal"), | |
| return_grid_coord=True, | |
| ), | |
| crop=None, | |
| post_transform=[ | |
| dict(type="CenterShift", apply_z=False), | |
| dict(type="ToTensor"), | |
| dict( | |
| type="Collect", | |
| keys=("coord", "grid_coord", "index"), | |
| feat_keys=("coord", "color", "normal"), | |
| ), | |
| ], | |
| 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)], | |
| ], | |
| ), | |
| ), | |
| ) | |