repo stringlengths 1 99 | file stringlengths 13 215 | code stringlengths 12 59.2M | file_length int64 12 59.2M | avg_line_length float64 3.82 1.48M | max_line_length int64 12 2.51M | extension_type stringclasses 1
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RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/core/visualizer/image_vis.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import cv2
import numpy as np
import torch
from matplotlib import pyplot as plt
import pdb
def project_pts_on_img(points,
raw_img,
lidar2img_rt,
max_distance=70,
thi... | 8,091 | 37.533333 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/core/anchor/anchor_3d_generator.py | # Copyright (c) OpenMMLab. All rights reserved.
import mmcv
import torch
from mmdet.core.anchor import ANCHOR_GENERATORS
@ANCHOR_GENERATORS.register_module()
class Anchor3DRangeGenerator(object):
"""3D Anchor Generator by range.
This anchor generator generates anchors by the given range in different
fea... | 17,177 | 41.414815 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/detectors/base.py | # Copyright (c) OpenMMLab. All rights reserved.
import mmcv
import torch
from mmcv.parallel import DataContainer as DC
from mmcv.runner import auto_fp16
from os import path as osp
from mmdet3d.core import Box3DMode, Coord3DMode, show_result
from mmdet.models.detectors import BaseDetector
class Base3DDetector(BaseDet... | 4,877 | 43.752294 | 78 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/detectors/single_stage.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.models import DETECTORS, build_backbone, build_head, build_neck
from .base import Base3DDetector
@DETECTORS.register_module()
class SingleStage3DDetector(Base3DDetector):
"""SingleStage3DDetector.
This class serves as a base class for single-stage 3D... | 2,416 | 32.569444 | 78 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/detectors/voxelnet.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmcv.runner import force_fp32
from torch.nn import functional as F
from mmdet3d.core import bbox3d2result, merge_aug_bboxes_3d
from mmdet3d.ops import Voxelization
from mmdet.models import DETECTORS
from .. import builder
from .single_stage import Singl... | 4,925 | 36.603053 | 75 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/detectors/votenet.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmdet3d.core import bbox3d2result, merge_aug_bboxes_3d
from mmdet.models import DETECTORS
from .single_stage import SingleStage3DDetector
@DETECTORS.register_module()
class VoteNet(SingleStage3DDetector):
r"""`VoteNet <https://arxiv.org/pdf/1904.0... | 3,996 | 36.009259 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/detectors/h3dnet.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmdet3d.core import merge_aug_bboxes_3d
from mmdet.models import DETECTORS
from .two_stage import TwoStage3DDetector
@DETECTORS.register_module()
class H3DNet(TwoStage3DDetector):
r"""H3DNet model.
Please refer to the `paper <https://arxiv.or... | 6,780 | 37.310734 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/detectors/imvoxelnet.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmdet3d.core import bbox3d2result, build_prior_generator
from mmdet3d.models.fusion_layers.point_fusion import point_sample
from mmdet.models import DETECTORS, build_backbone, build_head, build_neck
from mmdet.models.detectors import BaseDetector
@DET... | 4,949 | 34.611511 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/detectors/single_stage_mono3d.py | # Copyright (c) OpenMMLab. All rights reserved.
import mmcv
import numpy as np
import torch
from mmcv.parallel import DataContainer as DC
from os import path as osp
from mmdet3d.core import (CameraInstance3DBoxes, bbox3d2result,
show_multi_modality_result)
from mmdet.models.builder import DET... | 9,159 | 40.826484 | 78 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/detectors/groupfree3dnet.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmdet3d.core import bbox3d2result, merge_aug_bboxes_3d
from mmdet.models import DETECTORS
from .single_stage import SingleStage3DDetector
@DETECTORS.register_module()
class GroupFree3DNet(SingleStage3DDetector):
"""`Group-Free 3D <https://arxiv.or... | 4,020 | 36.933962 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/detectors/dynamic_voxelnet.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmcv.runner import force_fp32
from torch.nn import functional as F
from mmdet.models import DETECTORS
from .voxelnet import VoxelNet
@DETECTORS.register_module()
class DynamicVoxelNet(VoxelNet):
r"""VoxelNet using `dynamic voxelization <https://ar... | 2,306 | 31.041667 | 82 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/detectors/mvx_two_stage.py | # Copyright (c) OpenMMLab. All rights reserved.
import mmcv
import torch
import warnings
from mmcv.parallel import DataContainer as DC
from mmcv.runner import force_fp32
from os import path as osp
from torch.nn import functional as F
from mmdet3d.core import (Box3DMode, Coord3DMode, bbox3d2result,
... | 20,902 | 40.474206 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/detectors/mvx_faster_rcnn.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmcv.runner import force_fp32
from torch.nn import functional as F
from mmdet.models import DETECTORS
from .mvx_two_stage import MVXTwoStageDetector
@DETECTORS.register_module()
class MVXFasterRCNN(MVXTwoStageDetector):
"""Multi-modality VoxelNet ... | 2,042 | 31.951613 | 78 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/detectors/imvotenet.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
import warnings
from mmdet3d.core import bbox3d2result, merge_aug_bboxes_3d
from mmdet3d.models.utils import MLP
from mmdet.models import DETECTORS
from .. import builder
from .base import Base3DDetector
def sample_valid_seeds(mask, num_... | 35,185 | 41.962149 | 138 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/detectors/parta2.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from torch.nn import functional as F
from mmdet3d.ops import Voxelization
from mmdet.models import DETECTORS
from .. import builder
from .two_stage import TwoStage3DDetector
@DETECTORS.register_module()
class PartA2(TwoStage3DDetector):
r"""Part-A2 det... | 5,831 | 37.368421 | 77 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/detectors/centerpoint.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmdet3d.core import bbox3d2result, merge_aug_bboxes_3d
from mmdet.models import DETECTORS
from .mvx_two_stage import MVXTwoStageDetector
from .. import builder
@DETECTORS.register_module()
class CenterPoint(MVXTwoStageDetector):
"""Base class of M... | 13,913 | 41.550459 | 85 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/middle_encoders/pillar_scatter.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmcv.runner import auto_fp16
from torch import nn
from ..builder import MIDDLE_ENCODERS
@MIDDLE_ENCODERS.register_module()
class PointPillarsScatter(nn.Module):
"""Point Pillar's Scatter.
Converts learned features from dense tensor to sparse ... | 3,744 | 35.359223 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/middle_encoders/sparse_encoder.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.runner import auto_fp16
from torch import nn as nn
from mmdet3d.ops import SparseBasicBlock, make_sparse_convmodule
from mmdet3d.ops import spconv as spconv
from ..builder import MIDDLE_ENCODERS
@MIDDLE_ENCODERS.register_module()
class SparseEncoder(nn.Module... | 8,258 | 39.287805 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/middle_encoders/sparse_unet.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmcv.runner import BaseModule, auto_fp16
from mmdet3d.ops import SparseBasicBlock, make_sparse_convmodule
from mmdet3d.ops import spconv as spconv
from ..builder import MIDDLE_ENCODERS
@MIDDLE_ENCODERS.register_module()
class SparseUNet(BaseModule):
... | 11,713 | 38.843537 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/voxel_encoders/pillar_encoder.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmcv.cnn import build_norm_layer
from mmcv.runner import force_fp32
from torch import nn
from mmdet3d.ops import DynamicScatter
from ..builder import VOXEL_ENCODERS
from .utils import PFNLayer, get_paddings_indicator
@VOXEL_ENCODERS.register_module()
... | 13,156 | 41.441935 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/voxel_encoders/utils.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmcv.cnn import build_norm_layer
from mmcv.runner import auto_fp16
from torch import nn
from torch.nn import functional as F
def get_paddings_indicator(actual_num, max_num, axis=0):
"""Create boolean mask by actually number of a padded tensor.
... | 6,795 | 36.340659 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/voxel_encoders/voxel_encoder.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmcv.cnn import build_norm_layer
from mmcv.runner import force_fp32
from torch import nn
from mmdet3d.ops import DynamicScatter
from .. import builder
from ..builder import VOXEL_ENCODERS
from .utils import VFELayer, get_paddings_indicator
@VOXEL_ENCO... | 20,525 | 41.147844 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/necks/lift_splat_shoot_transformer_multiview.py | # Copyright (c) Junjie.huang. All rights reserved.
import torch
import torch.nn as nn
from mmcv.runner import BaseModule
from ..builder import NECKS
from .. import builder
from mmdet.models.backbones.resnet import Bottleneck, BasicBlock
from mmcv.cnn import build_norm_layer
from ..backbones.swin import SwinTransformer... | 16,494 | 39.829208 | 113 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/necks/fpn_lss.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
from mmcv.runner import BaseModule
from mmcv.cnn import build_norm_layer
from ..builder import NECKS
import pdb
class Up(nn.Module):
def __init__(self, in_channels, out_channels, scale_factor=2, norm_cfg=dict(type='BN')):
... | 1,891 | 31.067797 | 143 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/necks/imvoxel_neck.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.cnn import ConvModule
from torch import nn
from mmdet.models import NECKS
@NECKS.register_module()
class OutdoorImVoxelNeck(nn.Module):
"""Neck for ImVoxelNet outdoor scenario.
Args:
in_channels (int): Input channels of multi-scale feature ma... | 3,303 | 28.765766 | 71 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/necks/second_fpn.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
from mmcv.cnn import build_conv_layer, build_norm_layer, build_upsample_layer
from mmcv.runner import BaseModule, auto_fp16
from torch import nn as nn
from mmdet.models import NECKS
@NECKS.register_module()
class SECONDFPN(BaseModule):
... | 3,457 | 36.586957 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/fusion_layers/coord_transform.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from functools import partial
from mmdet3d.core.points import get_points_type
def apply_3d_transformation(pcd, coord_type, img_meta, reverse=False):
"""Apply transformation to input point cloud.
Args:
pcd (torch.Tensor): The point cloud to... | 7,653 | 34.435185 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/fusion_layers/point_fusion.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmcv.cnn import ConvModule
from mmcv.runner import BaseModule
from torch import nn as nn
from torch.nn import functional as F
from mmdet3d.core.bbox.structures import (get_proj_mat_by_coord_type,
points_cam2img)... | 12,269 | 38.967427 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/fusion_layers/vote_fusion.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from torch import nn as nn
from mmdet3d.core.bbox import points_cam2img
from ..builder import FUSION_LAYERS
from . import apply_3d_transformation, bbox_2d_transform, coord_2d_transform
EPS = 1e-6
@FUSION_LAYERS.register_module()
class VoteFusion(nn.Module... | 8,945 | 43.507463 | 78 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/decode_heads/paconv_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.cnn.bricks import ConvModule
from mmdet.models import HEADS
from .pointnet2_head import PointNet2Head
@HEADS.register_module()
class PAConvHead(PointNet2Head):
r"""PAConv decoder head.
Decoder head used in `PAConv <https://arxiv.org/abs/2103.14635>`_... | 2,229 | 33.84375 | 108 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/decode_heads/decode_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from abc import ABCMeta, abstractmethod
from mmcv.cnn import normal_init
from mmcv.runner import BaseModule, auto_fp16, force_fp32
from torch import nn as nn
from mmseg.models.builder import build_loss
class Base3DDecodeHead(BaseModule, metaclass=ABCMeta):
"""Base ... | 4,377 | 34.885246 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/decode_heads/pointnet2_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.cnn.bricks import ConvModule
from torch import nn as nn
from mmdet3d.ops import PointFPModule
from mmdet.models import HEADS
from .decode_head import Base3DDecodeHead
@HEADS.register_module()
class PointNet2Head(Base3DDecodeHead):
r"""PointNet2 decoder he... | 2,894 | 32.662791 | 93 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/dense_heads/anchor_free_mono3d_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from abc import abstractmethod
from mmcv.cnn import ConvModule, bias_init_with_prob, normal_init
from mmcv.runner import force_fp32
from torch import nn as nn
from mmdet.core import multi_apply
from mmdet.models.builder import HEADS, build_loss
from .base_mo... | 21,487 | 41.89022 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/dense_heads/ssd_3d_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
from mmcv.ops.nms import batched_nms
from mmcv.runner import force_fp32
from torch.nn import functional as F
from mmdet3d.core.bbox.structures import (DepthInstance3DBoxes,
LiDARInstance3DBoxes,
... | 24,910 | 41.95 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/dense_heads/fcos_mono3d_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
from mmcv.cnn import Scale
from mmcv.runner import force_fp32
from torch import nn as nn
from mmdet3d.core import box3d_multiclass_nms, limit_period, xywhr2xyxyr
from mmdet.core import multi_apply
from mmdet.models.builder import HEADS, bu... | 42,442 | 43.582983 | 113 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/dense_heads/shape_aware_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
import warnings
from mmcv.cnn import ConvModule
from mmcv.runner import BaseModule
from torch import nn as nn
from mmdet3d.core import box3d_multiclass_nms, limit_period, xywhr2xyxyr
from mmdet.core import multi_apply
from mmdet.models imp... | 21,176 | 40.200389 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/dense_heads/centerpoint_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import torch
from mmcv.cnn import ConvModule, build_conv_layer
from mmcv.runner import BaseModule, force_fp32
from torch import nn
from mmdet3d.core import (circle_nms, draw_heatmap_gaussian, gaussian_radius,
xywhr2xyxyr)
from mmdet3... | 32,680 | 38.327316 | 78 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/dense_heads/free_anchor3d_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmcv.runner import force_fp32
from torch.nn import functional as F
from mmdet3d.core.bbox import bbox_overlaps_nearest_3d
from mmdet.models import HEADS
from .anchor3d_head import Anchor3DHead
from .train_mixins import get_direction_target
@HEADS.regi... | 11,525 | 39.442105 | 118 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/dense_heads/base_conv_bbox_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.cnn import ConvModule
from mmcv.cnn.bricks import build_conv_layer
from mmcv.runner import BaseModule
from torch import nn as nn
from mmdet.models.builder import HEADS
@HEADS.register_module()
class BaseConvBboxHead(BaseModule):
r"""More general bbox head... | 4,406 | 32.386364 | 74 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/dense_heads/anchor3d_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
from mmcv.runner import BaseModule, force_fp32
from torch import nn as nn
from mmdet3d.core import (PseudoSampler, box3d_multiclass_nms, limit_period,
xywhr2xyxyr)
from mmdet.core import (build_assigner, build_bbo... | 21,582 | 40.990272 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/dense_heads/train_mixins.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
from mmdet3d.core import limit_period
from mmdet.core import images_to_levels, multi_apply
class AnchorTrainMixin(object):
"""Mixin class for target assigning of dense heads."""
def anchor_target_3d(self,
... | 16,738 | 47.100575 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/dense_heads/parta2_rpn_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from __future__ import division
import numpy as np
import torch
from mmcv.runner import force_fp32
from mmdet3d.core import limit_period, xywhr2xyxyr
from mmdet3d.ops.iou3d.iou3d_utils import nms_gpu, nms_normal_gpu
from mmdet.models import HEADS
from .anchor3d_head imp... | 13,852 | 43.117834 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/dense_heads/groupfree3d_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import numpy as np
import torch
from mmcv import ConfigDict
from mmcv.cnn import ConvModule, xavier_init
from mmcv.cnn.bricks.transformer import (build_positional_encoding,
build_transformer_layer)
from mmcv.runner impo... | 42,226 | 41.481891 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/dense_heads/vote_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
from mmcv.runner import BaseModule, force_fp32
from torch.nn import functional as F
from mmdet3d.core.post_processing import aligned_3d_nms
from mmdet3d.models.builder import build_loss
from mmdet3d.models.losses import chamfer_distance
fr... | 28,350 | 41.697289 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/utils/embed.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn.functional as F
from mmcv.cnn import build_conv_layer, build_norm_layer
from mmcv.runner.base_module import BaseModule
from torch.nn.modules.utils import _pair as to_2tuple
# Modified from Pytorch-Image-Models
class PatchEmbed(BaseModule):
"""Image t... | 3,590 | 34.554455 | 78 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/utils/mlp.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.cnn import ConvModule
from mmcv.runner import BaseModule
from torch import nn as nn
class MLP(BaseModule):
"""A simple MLP module.
Pass features (B, C, N) through an MLP.
Args:
in_channels (int): Number of channels of input features.
... | 1,675 | 31.230769 | 68 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/utils/clip_sigmoid.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
def clip_sigmoid(x, eps=1e-4):
"""Sigmoid function for input feature.
Args:
x (torch.Tensor): Input feature map with the shape of [B, N, H, W].
eps (float): Lower bound of the range to be clamped to. Defaults
to 1e-4.
... | 458 | 24.5 | 75 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/roi_heads/part_aggregation_roi_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from torch.nn import functional as F
from mmdet3d.core import AssignResult
from mmdet3d.core.bbox import bbox3d2result, bbox3d2roi
from mmdet.core import build_assigner, build_sampler
from mmdet.models import HEADS
from ..builder import build_head, build_... | 13,922 | 41.708589 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/roi_heads/base_3droi_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from abc import ABCMeta, abstractmethod
from mmcv.runner import BaseModule
class Base3DRoIHead(BaseModule, metaclass=ABCMeta):
"""Base class for 3d RoIHeads."""
def __init__(self,
bbox_head=None,
mask_roi_extractor=None,
... | 2,986 | 29.479592 | 78 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/roi_heads/h3d_roi_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet3d.core.bbox import bbox3d2result
from mmdet.models import HEADS
from ..builder import build_head
from .base_3droi_head import Base3DRoIHead
@HEADS.register_module()
class H3DRoIHead(Base3DRoIHead):
"""H3D roi head for H3DNet.
Args:
primitive_... | 5,651 | 34.10559 | 78 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/roi_heads/roi_extractors/single_roiaware_extractor.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmcv.runner import BaseModule
from mmdet3d import ops
from mmdet.models.builder import ROI_EXTRACTORS
@ROI_EXTRACTORS.register_module()
class Single3DRoIAwareExtractor(BaseModule):
"""Point-wise roi-aware Extractor.
Extract Point-wise roi fea... | 1,983 | 35.072727 | 76 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/roi_heads/bbox_heads/parta2_bbox_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
from mmcv.cnn import ConvModule, normal_init
from mmcv.runner import BaseModule
from torch import nn as nn
from mmdet3d.core.bbox.structures import (LiDARInstance3DBoxes,
rotation_3d_in_axis, xywhr... | 25,032 | 38.988818 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/roi_heads/bbox_heads/h3d_bbox_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmcv.cnn import ConvModule
from mmcv.runner import BaseModule
from torch import nn as nn
from torch.nn import functional as F
from mmdet3d.core.bbox import DepthInstance3DBoxes
from mmdet3d.core.post_processing import aligned_3d_nms
from mmdet3d.models.... | 40,153 | 42.316073 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/roi_heads/mask_heads/primitive_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmcv.cnn import ConvModule
from mmcv.runner import BaseModule
from torch import nn as nn
from torch.nn import functional as F
from mmdet3d.models.builder import build_loss
from mmdet3d.models.model_utils import VoteModule
from mmdet3d.ops import build_s... | 42,353 | 42.79938 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/roi_heads/mask_heads/pointwise_semantic_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmcv.runner import BaseModule
from torch import nn as nn
from torch.nn import functional as F
from mmdet3d.core.bbox.structures import rotation_3d_in_axis
from mmdet3d.models.builder import build_loss
from mmdet.core import multi_apply
from mmdet.models... | 8,114 | 38.779412 | 78 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/segmentors/base.py | # Copyright (c) OpenMMLab. All rights reserved.
import mmcv
import numpy as np
import torch
from mmcv.parallel import DataContainer as DC
from mmcv.runner import auto_fp16
from os import path as osp
from mmdet3d.core import show_seg_result
from mmseg.models.segmentors import BaseSegmentor
class Base3DSegmentor(BaseS... | 5,203 | 39.976378 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/segmentors/encoder_decoder.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
from torch import nn as nn
from torch.nn import functional as F
from mmseg.core import add_prefix
from mmseg.models import SEGMENTORS
from ..builder import build_backbone, build_head, build_loss, build_neck
from .base import Base3DSegmento... | 19,013 | 40.789011 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/model_utils/vote_module.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmcv import is_tuple_of
from mmcv.cnn import ConvModule
from torch import nn as nn
from mmdet3d.models.builder import build_loss
class VoteModule(nn.Module):
"""Vote module.
Generate votes from seed point features.
Args:
in_chann... | 7,274 | 38.972527 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/model_utils/transformer.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.cnn.bricks.registry import ATTENTION
from mmcv.cnn.bricks.transformer import POSITIONAL_ENCODING, MultiheadAttention
from torch import nn as nn
@ATTENTION.register_module()
class GroupFree3DMHA(MultiheadAttention):
"""A warpper for torch.nn.MultiheadAttent... | 5,600 | 39.294964 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/losses/chamfer_distance.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from torch import nn as nn
from torch.nn.functional import l1_loss, mse_loss, smooth_l1_loss
from mmdet.models.builder import LOSSES
def chamfer_distance(src,
dst,
src_weight=1.0,
dst_weight=1.... | 5,544 | 36.466216 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/losses/paconv_regularization_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from torch import nn as nn
from mmdet3d.ops import PAConv, PAConvCUDA
from mmdet.models.builder import LOSSES
from mmdet.models.losses.utils import weight_reduce_loss
def weight_correlation(conv):
"""Calculate correlations between kernel weights in Con... | 4,085 | 36.486239 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/losses/axis_aligned_iou_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from torch import nn as nn
from mmdet.models.builder import LOSSES
from mmdet.models.losses.utils import weighted_loss
from ...core.bbox import AxisAlignedBboxOverlaps3D
@weighted_loss
def axis_aligned_iou_loss(pred, target):
"""Calculate the IoU loss ... | 2,808 | 34.1125 | 78 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/backbones/multi_backbone.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import torch
import warnings
from mmcv.cnn import ConvModule
from mmcv.runner import BaseModule, auto_fp16
from torch import nn as nn
from mmdet.models import BACKBONES, build_backbone
@BACKBONES.register_module()
class MultiBackbone(BaseModule):
"""Mul... | 4,709 | 36.086614 | 76 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/backbones/second.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from mmcv.cnn import build_conv_layer, build_norm_layer
from mmcv.runner import BaseModule
from torch import nn as nn
from mmdet.models import BACKBONES
@BACKBONES.register_module()
class SECOND(BaseModule):
"""Backbone network for SECOND/PointPilla... | 3,247 | 34.692308 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/backbones/swin.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from copy import deepcopy
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import build_norm_layer, trunc_normal_init
from mmcv.cnn.bricks.transformer import FFN, build_dropout
from mmcv.cnn.utils.weight_init import constan... | 31,596 | 37.345874 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/backbones/base_pointnet.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from abc import ABCMeta
from mmcv.runner import BaseModule
class BasePointNet(BaseModule, metaclass=ABCMeta):
"""Base class for PointNet."""
def __init__(self, init_cfg=None, pretrained=None):
super(BasePointNet, self).__init__(init_cfg)... | 1,335 | 33.25641 | 76 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/backbones/nostem_regnet.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.models.backbones import RegNet
from ..builder import BACKBONES
@BACKBONES.register_module()
class NoStemRegNet(RegNet):
"""RegNet backbone without Stem for 3D detection.
More details can be found in `paper <https://arxiv.org/abs/2003.13678>`_ .
... | 3,351 | 38.435294 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/backbones/pointnet2_sa_msg.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmcv.cnn import ConvModule
from mmcv.runner import auto_fp16
from torch import nn as nn
from mmdet3d.ops import build_sa_module
from mmdet.models import BACKBONES
from .base_pointnet import BasePointNet
@BACKBONES.register_module()
class PointNet2SAMS... | 7,138 | 40.505814 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/models/backbones/pointnet2_sa_ssg.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmcv.runner import auto_fp16
from torch import nn as nn
from mmdet3d.ops import PointFPModule, build_sa_module
from mmdet.models import BACKBONES
from .base_pointnet import BasePointNet
@BACKBONES.register_module()
class PointNet2SASSG(BasePointNet):
... | 5,561 | 37.625 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/datasets/custom_3d.py | # Copyright (c) OpenMMLab. All rights reserved.
import mmcv
import numpy as np
import tempfile
import warnings
from os import path as osp
from torch.utils.data import Dataset
from mmdet.datasets import DATASETS
from ..core.bbox import get_box_type
from .pipelines import Compose
from .utils import extract_result_dict, ... | 13,347 | 34.88172 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/datasets/nuscenes_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
import mmcv
import numpy as np
import pyquaternion
import tempfile
from nuscenes.utils.data_classes import Box as NuScenesBox
from os import path as osp
from mmdet.datasets import DATASETS
from ..core import show_result
from ..core.bbox import Box3DMode, Coord3DMode, LiD... | 26,711 | 38.514793 | 154 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/datasets/utils.py | # Copyright (c) OpenMMLab. All rights reserved.
import mmcv
# yapf: disable
from mmdet3d.datasets.pipelines import (Collect3D, DefaultFormatBundle3D,
LoadAnnotations3D,
LoadImageFromFileMono3D,
LoadM... | 5,763 | 39.879433 | 78 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/datasets/waymo_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
import mmcv
import numpy as np
import os
import tempfile
import torch
from mmcv.utils import print_log
from os import path as osp
from mmdet.datasets import DATASETS
from ..core.bbox import Box3DMode, points_cam2img
from .kitti_dataset import KittiDataset
@DATASETS.reg... | 23,094 | 41.221207 | 81 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/datasets/nuscenes_mono_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import mmcv
import numpy as np
import pyquaternion
import tempfile
import torch
import warnings
from nuscenes.utils.data_classes import Box as NuScenesBox
from os import path as osp
from mmdet3d.core import bbox3d2result, box3d_multiclass_nms, xywhr2xyxyr
fro... | 32,384 | 39.787154 | 154 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/datasets/kitti_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import mmcv
import numpy as np
import os
import tempfile
import torch
from mmcv.utils import print_log
from os import path as osp
from mmdet.datasets import DATASETS
from ..core import show_multi_modality_result, show_result
from ..core.bbox import (Box3DMode... | 30,997 | 40.552279 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/datasets/lyft_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
import mmcv
import numpy as np
import os
import pandas as pd
import tempfile
from lyft_dataset_sdk.lyftdataset import LyftDataset as Lyft
from lyft_dataset_sdk.utils.data_classes import Box as LyftBox
from os import path as osp
from pyquaternion import Quaternion
from mm... | 22,029 | 38.40966 | 82 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/datasets/kitti_mono_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import mmcv
import numpy as np
import tempfile
import torch
from mmcv.utils import print_log
from os import path as osp
from mmdet.datasets import DATASETS
from ..core.bbox import Box3DMode, CameraInstance3DBoxes, points_cam2img
from .nuscenes_mono_dataset im... | 23,163 | 40.290553 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/datasets/builder.py | # Copyright (c) OpenMMLab. All rights reserved.
import platform
from mmcv.utils import Registry, build_from_cfg
from mmdet.datasets import DATASETS
from mmdet.datasets.builder import _concat_dataset
if platform.system() != 'Windows':
# https://github.com/pytorch/pytorch/issues/973
import resource
rlimit =... | 1,795 | 39.818182 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/datasets/custom_3d_seg.py | # Copyright (c) OpenMMLab. All rights reserved.
import mmcv
import numpy as np
import tempfile
import warnings
from os import path as osp
from torch.utils.data import Dataset
from mmdet.datasets import DATASETS
from mmseg.datasets import DATASETS as SEG_DATASETS
from .pipelines import Compose
from .utils import extrac... | 16,362 | 35.281596 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/datasets/pipelines/loading.py | # Copyright (c) OpenMMLab. All rights reserved.
import mmcv
import torch
import torchvision
from PIL import Image
import numpy as np
from mmdet3d.core.points import BasePoints, get_points_type
from mmdet.datasets.builder import PIPELINES
from mmdet.datasets.pipelines import LoadAnnotations, LoadImageFromFile
def get... | 31,988 | 36.946619 | 118 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/datasets/pipelines/transforms_3d.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import numpy as np
import warnings
from mmcv import is_tuple_of
from mmcv.utils import build_from_cfg
from mmdet3d.core import VoxelGenerator
from mmdet3d.core.bbox import (CameraInstance3DBoxes, DepthInstance3DBoxes,
LiDARInst... | 58,564 | 38.570946 | 82 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/.mim/tools/test.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
from black import out
import mmcv
import os
import torch
import warnings
from mmcv import Config, DictAction
from mmcv.cnn import fuse_conv_bn
from mmcv.parallel import MMDataParallel, MMDistributedDataParallel
from mmcv.runner import (get_dist_info, init_... | 10,783 | 37.514286 | 128 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/.mim/tools/robust_test.py | # Copyright (c) OpenMMLab. All rights reserved.
# ---------------------------------------------
# Modified by Shaoyuan Xie
# ---------------------------------------------
import argparse
import mmcv
import os
import torch
import warnings
from mmcv import Config, DictAction
from mmcv.cnn import fuse_conv_bn
from mmcv.p... | 11,626 | 39.653846 | 94 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/.mim/tools/train.py | # Copyright (c) OpenMMLab. All rights reserved.
from __future__ import division
import argparse
import copy
import mmcv
import os
import time
import torch
import warnings
from mmcv import Config, DictAction
from mmcv.runner import get_dist_info, init_dist
from os import path as osp
from mmdet import __version__ as mm... | 9,633 | 36.780392 | 125 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/.mim/tools/data_converter/create_gt_database.py | # Copyright (c) OpenMMLab. All rights reserved.
import mmcv
import numpy as np
import pickle
from mmcv import track_iter_progress
from mmcv.ops import roi_align
from os import path as osp
from pycocotools import mask as maskUtils
from pycocotools.coco import COCO
from mmdet3d.core.bbox import box_np_ops as box_np_ops
... | 12,654 | 36.330383 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/.mim/tools/misc/fuse_conv_bn.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import torch
from mmcv.runner import save_checkpoint
from torch import nn as nn
from mmdet.apis import init_model
def fuse_conv_bn(conv, bn):
"""During inference, the functionary of batch norm layers is turned off but
only the mean and var alone... | 2,240 | 31.955882 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/.mim/tools/model_converters/publish_model.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import subprocess
import torch
def parse_args():
parser = argparse.ArgumentParser(
description='Process a checkpoint to be published')
parser.add_argument('in_file', help='input checkpoint filename')
parser.add_argument('out_file', he... | 1,075 | 28.888889 | 77 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/.mim/tools/model_converters/regnet2mmdet.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import torch
from collections import OrderedDict
def convert_stem(model_key, model_weight, state_dict, converted_names):
new_key = model_key.replace('stem.conv', 'conv1')
new_key = new_key.replace('stem.bn', 'bn1')
state_dict[new_key] = model... | 3,062 | 33.033333 | 77 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/.mim/tools/model_converters/convert_h3dnet_checkpoints.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import tempfile
import torch
from mmcv import Config
from mmcv.runner import load_state_dict
from mmdet3d.models import build_detector
def parse_args():
parser = argparse.ArgumentParser(
description='MMDet3D upgrade model version(before v0.6... | 6,152 | 33.762712 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/.mim/tools/model_converters/convert_votenet_checkpoints.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import tempfile
import torch
from mmcv import Config
from mmcv.runner import load_state_dict
from mmdet3d.models import build_detector
def parse_args():
parser = argparse.ArgumentParser(
description='MMDet3D upgrade model version(before v0.6... | 5,090 | 32.27451 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/.mim/tools/analysis_tools/benchmark.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import time
import torch
from mmcv import Config
from mmcv.parallel import MMDataParallel
from mmcv.runner import load_checkpoint, wrap_fp16_model
from mmdet3d.datasets import build_dataloader, build_dataset
from mmdet3d.models import build_detector
from ... | 2,987 | 30.125 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/.mim/tools/analysis_tools/get_flops.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import torch
import os
from mmcv import Config, DictAction
from mmdet3d.models import build_model
try:
from mmcv.cnn import get_model_complexity_info
except ImportError:
raise ImportError('Please upgrade mmcv to >0.6.2')
import pdb
def parse_a... | 4,138 | 32.92623 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/.mim/configs/fcos3d/fcos3d_r101_caffe_fpn_gn-head_dcn_2x8_1x_nus-mono3d_finetune.py | _base_ = './fcos3d_r101_caffe_fpn_gn-head_dcn_2x8_1x_nus-mono3d.py'
# model settings
model = dict(
train_cfg=dict(
code_weight=[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.05, 0.05]))
# optimizer
optimizer = dict(lr=0.001)
load_from = 'work_dirs/fcos3d_nus/latest.pth'
| 274 | 29.555556 | 69 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/.mim/configs/imvotenet/imvotenet_stage2_16x8_sunrgbd-3d-10class.py | _base_ = [
'../_base_/datasets/sunrgbd-3d-10class.py',
'../_base_/schedules/schedule_3x.py', '../_base_/default_runtime.py',
'../_base_/models/imvotenet_image.py'
]
class_names = ('bed', 'table', 'sofa', 'chair', 'toilet', 'desk', 'dresser',
'night_stand', 'bookshelf', 'bathtub')
# use caff... | 9,238 | 34.398467 | 225 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/.mim/configs/imvotenet/imvotenet_faster_rcnn_r50_fpn_2x4_sunrgbd-3d-10class.py | _base_ = [
'../_base_/datasets/sunrgbd-3d-10class.py', '../_base_/default_runtime.py',
'../_base_/models/imvotenet_image.py'
]
# use caffe img_norm
img_norm_cfg = dict(
mean=[103.530, 116.280, 123.675], std=[1.0, 1.0, 1.0], to_rgb=False)
train_pipeline = [
dict(type='LoadImageFromFile'),
dict(type... | 1,986 | 32.677966 | 227 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/.mim/configs/nuimages/mask_rcnn_r50_caffe_fpn_1x_nuim.py | _base_ = [
'../_base_/models/mask_rcnn_r50_fpn.py',
'../_base_/datasets/nuim_instance.py',
'../_base_/schedules/mmdet_schedule_1x.py', '../_base_/default_runtime.py'
]
model = dict(
pretrained='open-mmlab://detectron2/resnet50_caffe',
backbone=dict(norm_cfg=dict(requires_grad=False), style='caffe'),... | 1,636 | 33.829787 | 78 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/.mim/configs/nuimages/mask_rcnn_r50_caffe_fpn_coco-3x_20e_nuim.py | _base_ = [
'../_base_/models/mask_rcnn_r50_fpn.py',
'../_base_/datasets/nuim_instance.py',
'../_base_/schedules/mmdet_schedule_1x.py', '../_base_/default_runtime.py'
]
model = dict(
pretrained='open-mmlab://detectron2/resnet50_caffe',
backbone=dict(norm_cfg=dict(requires_grad=False), style='caffe'),... | 1,945 | 35.716981 | 227 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/.mim/configs/nuimages/mask_rcnn_r50_caffe_fpn_coco-3x_1x_nuim.py | _base_ = [
'../_base_/models/mask_rcnn_r50_fpn.py',
'../_base_/datasets/nuim_instance.py',
'../_base_/schedules/mmdet_schedule_1x.py', '../_base_/default_runtime.py'
]
model = dict(
pretrained='open-mmlab://detectron2/resnet50_caffe',
backbone=dict(norm_cfg=dict(requires_grad=False), style='caffe'),... | 1,866 | 37.102041 | 228 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/.mim/configs/nuimages/htc_without_semantic_r50_fpn_1x_nuim.py | _base_ = [
'../_base_/datasets/nuim_instance.py',
'../_base_/schedules/mmdet_schedule_1x.py', '../_base_/default_runtime.py'
]
# model settings
model = dict(
type='HybridTaskCascade',
pretrained='torchvision://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
... | 7,693 | 33.657658 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVerse/mmdet3d/.mim/configs/nuimages/mask_rcnn_x101_32x4d_fpn_1x_nuim.py | _base_ = './mask_rcnn_r50_fpn_1x_nuim.py'
model = dict(
pretrained='open-mmlab://resnext101_32x4d',
backbone=dict(
type='ResNeXt',
depth=101,
groups=32,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN',... | 368 | 25.357143 | 53 | py |
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