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/BEVDet/mmdet3d/ops/paconv/utils.py | import torch
def calc_euclidian_dist(xyz1, xyz2):
"""Calculate the Euclidian distance between two sets of points.
Args:
xyz1 (torch.Tensor): (N, 3), the first set of points.
xyz2 (torch.Tensor): (N, 3), the second set of points.
Returns:
torch.Tensor: (N, ), the Euclidian distanc... | 3,677 | 41.275862 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVDet/mmdet3d/ops/paconv/assign_score.py | from torch.autograd import Function
from . import assign_score_withk_ext
class AssignScoreWithK(Function):
r"""Perform weighted sum to generate output features according to scores.
Modified from `PAConv <https://github.com/CVMI-Lab/PAConv/tree/main/
scene_seg/lib/paconv_lib/src/gpu>`_.
This is a mem... | 4,015 | 38.372549 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVDet/mmdet3d/ops/paconv/paconv.py | import copy
import torch
from mmcv.cnn import (ConvModule, build_activation_layer, build_norm_layer,
constant_init)
from torch import nn as nn
from torch.nn import functional as F
from .assign_score import assign_score_withk as assign_score_cuda
from .utils import assign_kernel_withoutk, assign_s... | 15,868 | 39.585678 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVDet/mmdet3d/ops/spconv/structure.py | import numpy as np
import torch
def scatter_nd(indices, updates, shape):
"""pytorch edition of tensorflow scatter_nd.
this function don't contain except handle code. so use this carefully when
indice repeats, don't support repeat add which is supported in tensorflow.
"""
ret = torch.zeros(*shape,... | 2,187 | 30.257143 | 78 | py |
RoboBEV | RoboBEV-master/zoo/BEVDet/mmdet3d/ops/spconv/modules.py | # Copyright 2019 Yan Yan
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, soft... | 6,999 | 33.482759 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVDet/mmdet3d/ops/spconv/functional.py | # Copyright 2019 Yan Yan
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, soft... | 3,699 | 36.373737 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVDet/mmdet3d/ops/spconv/ops.py | # Copyright 2019 Yan Yan
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, soft... | 7,236 | 38.331522 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVDet/mmdet3d/ops/spconv/conv.py | # Copyright 2019 Yan Yan
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, soft... | 14,355 | 30.482456 | 79 | py |
RoboBEV | RoboBEV-master/zoo/BEVDet/mmdet3d/ops/roiaware_pool3d/roiaware_pool3d.py | import mmcv
import torch
from torch import nn as nn
from torch.autograd import Function
from . import roiaware_pool3d_ext
class RoIAwarePool3d(nn.Module):
def __init__(self, out_size, max_pts_per_voxel=128, mode='max'):
super().__init__()
"""RoIAwarePool3d module
Args:
out_s... | 3,668 | 32.054054 | 78 | py |
RoboBEV | RoboBEV-master/zoo/BEVDet/mmdet3d/ops/roiaware_pool3d/points_in_boxes.py | import torch
from . import roiaware_pool3d_ext
def points_in_boxes_gpu(points, boxes):
"""Find points that are in boxes (CUDA)
Args:
points (torch.Tensor): [B, M, 3], [x, y, z] in LiDAR coordinate
boxes (torch.Tensor): [B, T, 7],
num_valid_boxes <= T, [x, y, z, w, l, h, ry] in Li... | 4,690 | 36.830645 | 77 | py |
RoboBEV | RoboBEV-master/zoo/BEVDet/mmdet3d/ops/ball_query/ball_query.py | import torch
from torch.autograd import Function
from . import ball_query_ext
class BallQuery(Function):
"""Ball Query.
Find nearby points in spherical space.
"""
@staticmethod
def forward(ctx, min_radius: float, max_radius: float, sample_num: int,
xyz: torch.Tensor, center_xyz:... | 1,463 | 29.5 | 79 | py |
RoboBEV | RoboBEV-master/zoo/DETR3D/tools/generate_dataset.py | import argparse
import os
import warnings
import time
import numpy as np
import torch
import mmcv
from mmdet3d.datasets import build_dataset, build_dataloader
from mmcv import Config, DictAction
from mmdet3d.datasets import build_dataset
from project.mmdet3d_plugin.corruptions import CORRUPTIONS
SEVERITY = {'2': '... | 5,629 | 35.322581 | 125 | py |
RoboBEV | RoboBEV-master/zoo/DETR3D/tools/test.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
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_dist, load_checkpoint,... | 9,760 | 38.358871 | 79 | py |
RoboBEV | RoboBEV-master/zoo/DETR3D/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... | 11,425 | 39.51773 | 94 | py |
RoboBEV | RoboBEV-master/zoo/DETR3D/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... | 9,490 | 37.116466 | 125 | py |
RoboBEV | RoboBEV-master/zoo/DETR3D/tools/corruption_test.py | # ---------------------------------------------
# Copyright (c) OpenMMLab. All rights reserved.
# ---------------------------------------------
# Modified by Zhiqi Li
# ---------------------------------------------
from copy import deepcopy
import os.path as osp
import pickle
import shutil
import tempfile
import time
... | 6,699 | 35.813187 | 118 | py |
RoboBEV | RoboBEV-master/zoo/DETR3D/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/DETR3D/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/DETR3D/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/DETR3D/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/DETR3D/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/DETR3D/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/DETR3D/tools/analysis_tools/get_flops.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import torch
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')
def parse_args():
parser = ar... | 3,147 | 31.791667 | 79 | py |
RoboBEV | RoboBEV-master/zoo/DETR3D/projects/configs/uda/city2city/detr3d_res101_gridmask_bos2sing.py | _base_ = [
'/nvme/konglingdong/models/mmdetection3d/configs/_base_/datasets/nus-3d.py',
'/nvme/konglingdong/models/mmdetection3d/configs/_base_/default_runtime.py'
]
plugin=True
plugin_dir='projects/mmdet3d_plugin/'
# If point cloud range is changed, the models should also change their point
# cloud range acc... | 7,809 | 31.406639 | 119 | py |
RoboBEV | RoboBEV-master/zoo/DETR3D/projects/configs/uda/city2city/detr3d_res101_gridmask_sing2sing.py | _base_ = [
'/nvme/konglingdong/models/mmdetection3d/configs/_base_/datasets/nus-3d.py',
'/nvme/konglingdong/models/mmdetection3d/configs/_base_/default_runtime.py'
]
plugin=True
plugin_dir='projects/mmdet3d_plugin/'
# If point cloud range is changed, the models should also change their point
# cloud range acc... | 7,768 | 31.506276 | 119 | py |
RoboBEV | RoboBEV-master/zoo/DETR3D/projects/configs/uda/dry2rain/detr3d_res101_gridmask_dry2rain.py | _base_ = [
'/nvme/konglingdong/models/mmdetection3d/configs/_base_/datasets/nus-3d.py',
'/nvme/konglingdong/models/mmdetection3d/configs/_base_/default_runtime.py'
]
plugin=True
plugin_dir='projects/mmdet3d_plugin/'
# If point cloud range is changed, the models should also change their point
# cloud range acc... | 7,839 | 31.666667 | 119 | py |
RoboBEV | RoboBEV-master/zoo/DETR3D/projects/configs/uda/day2night/detr3d_res101_gridmask_day2night.py | _base_ = [
'/nvme/konglingdong/models/mmdetection3d/configs/_base_/datasets/nus-3d.py',
'/nvme/konglingdong/models/mmdetection3d/configs/_base_/default_runtime.py'
]
plugin=True
plugin_dir='projects/mmdet3d_plugin/'
# If point cloud range is changed, the models should also change their point
# cloud range acc... | 7,873 | 31.53719 | 119 | py |
RoboBEV | RoboBEV-master/zoo/DETR3D/projects/configs/robust_test/detr3d_res101_gridmask.py | _base_ = [
'/nvme/konglingdong/models/mmdetection3d/configs/_base_/datasets/nus-3d.py',
'/nvme/konglingdong/models/mmdetection3d/configs/_base_/default_runtime.py'
]
plugin=True
plugin_dir='projects/mmdet3d_plugin/'
# If point cloud range is changed, the models should also change their point
# cloud range acc... | 7,923 | 31.743802 | 119 | py |
RoboBEV | RoboBEV-master/zoo/DETR3D/projects/configs/robust_test/detr3d_res101_gridmask_cbgs.py | _base_ = [
'/nvme/konglingdong/models/mmdetection3d/configs/_base_/datasets/nus-3d.py',
'/nvme/konglingdong/models/mmdetection3d/configs/_base_/default_runtime.py'
]
plugin=True
plugin_dir='projects/mmdet3d_plugin/'
# If point cloud range is changed, the models should also change their point
# cloud range acc... | 7,860 | 31.483471 | 119 | py |
RoboBEV | RoboBEV-master/zoo/DETR3D/projects/configs/detr3d/detr3d_res101_gridmask.py | _base_ = [
'/nvme/konglingdong/models/mmdetection3d/configs/_base_/datasets/nus-3d.py',
'/nvme/konglingdong/models/mmdetection3d/configs/_base_/default_runtime.py'
]
plugin=True
plugin_dir='projects/mmdet3d_plugin/'
# If point cloud range is changed, the models should also change their point
# cloud range acc... | 7,655 | 31.303797 | 119 | py |
RoboBEV | RoboBEV-master/zoo/DETR3D/projects/configs/detr3d/detr3d_res101_gridmask_cbgs.py | _base_ = [
'/nvme/konglingdong/models/mmdetection3d/configs/_base_/datasets/nus-3d.py',
'/nvme/konglingdong/models/mmdetection3d/configs/_base_/default_runtime.py'
]
plugin=True
plugin_dir='projects/mmdet3d_plugin/'
# If point cloud range is changed, the models should also change their point
# cloud range acc... | 7,761 | 31.341667 | 119 | py |
RoboBEV | RoboBEV-master/zoo/DETR3D/projects/mmdet3d_plugin/core/bbox/util.py | import torch
def normalize_bbox(bboxes, pc_range):
cx = bboxes[..., 0:1]
cy = bboxes[..., 1:2]
cz = bboxes[..., 2:3]
w = bboxes[..., 3:4].log()
l = bboxes[..., 4:5].log()
h = bboxes[..., 5:6].log()
rot = bboxes[..., 6:7]
if bboxes.size(-1) > 7:
vx = bboxes[..., 7:8]
... | 1,464 | 26.641509 | 83 | py |
RoboBEV | RoboBEV-master/zoo/DETR3D/projects/mmdet3d_plugin/core/bbox/assigners/hungarian_assigner_3d.py | import torch
from mmdet.core.bbox.builder import BBOX_ASSIGNERS
from mmdet.core.bbox.assigners import AssignResult
from mmdet.core.bbox.assigners import BaseAssigner
from mmdet.core.bbox.match_costs import build_match_cost
from mmdet.models.utils.transformer import inverse_sigmoid
from projects.mmdet3d_plugin.core.bbo... | 6,391 | 46.701493 | 79 | py |
RoboBEV | RoboBEV-master/zoo/DETR3D/projects/mmdet3d_plugin/core/bbox/match_costs/match_cost.py | import torch
from mmdet.core.bbox.match_costs.builder import MATCH_COST
@MATCH_COST.register_module()
class BBox3DL1Cost(object):
"""BBox3DL1Cost.
Args:
weight (int | float, optional): loss_weight
"""
def __init__(self, weight=1.):
self.weight = weight
def __call__(self, bbox_p... | 852 | 30.592593 | 75 | py |
RoboBEV | RoboBEV-master/zoo/DETR3D/projects/mmdet3d_plugin/core/bbox/coders/nms_free_coder.py | import torch
from mmdet.core.bbox import BaseBBoxCoder
from mmdet.core.bbox.builder import BBOX_CODERS
from projects.mmdet3d_plugin.core.bbox.util import denormalize_bbox
@BBOX_CODERS.register_module()
class NMSFreeCoder(BaseBBoxCoder):
"""Bbox coder for NMS-free detector.
Args:
pc_range (list[float]... | 4,163 | 36.513514 | 109 | py |
RoboBEV | RoboBEV-master/zoo/DETR3D/projects/mmdet3d_plugin/models/detectors/obj_dgcnn.py | import torch
from mmdet.models import DETECTORS
from mmdet3d.core import bbox3d2result, merge_aug_bboxes_3d
from mmdet3d.models.detectors.mvx_two_stage import MVXTwoStageDetector
@DETECTORS.register_module()
class ObjDGCNN(MVXTwoStageDetector):
"""Base class of Multi-modality VoxelNet."""
def __init__(self,... | 8,239 | 43.064171 | 78 | py |
RoboBEV | RoboBEV-master/zoo/DETR3D/projects/mmdet3d_plugin/models/detectors/detr3d.py | import torch
from mmcv.runner import force_fp32, auto_fp16
from mmdet.models import DETECTORS
from mmdet3d.core import bbox3d2result
from mmdet3d.models.detectors.mvx_two_stage import MVXTwoStageDetector
from projects.mmdet3d_plugin.models.utils.grid_mask import GridMask
@DETECTORS.register_module()
class Detr3D(MVX... | 9,226 | 41.520737 | 98 | py |
RoboBEV | RoboBEV-master/zoo/DETR3D/projects/mmdet3d_plugin/models/dense_heads/dgcnn3d_head.py | import copy
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import Linear, bias_init_with_prob
from mmcv.runner import force_fp32, auto_fp16
from mmdet.core import multi_apply, reduce_mean
from mmdet.models.utils.transformer import inverse_sigmoid
from mmdet.mo... | 22,189 | 44.847107 | 138 | py |
RoboBEV | RoboBEV-master/zoo/DETR3D/projects/mmdet3d_plugin/models/dense_heads/detr3d_head.py | import copy
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import Linear, bias_init_with_prob
from mmcv.runner import force_fp32
from mmdet.core import (multi_apply, multi_apply, reduce_mean)
from mmdet.models.utils.transformer import inverse_sigmoid
from mmde... | 20,260 | 44.428251 | 137 | py |
RoboBEV | RoboBEV-master/zoo/DETR3D/projects/mmdet3d_plugin/models/utils/detr.py | import torch
from mmcv.cnn.bricks.registry import TRANSFORMER_LAYER_SEQUENCE
from mmcv.cnn.bricks.transformer import TransformerLayerSequence
def inverse_sigmoid(x, eps=1e-5):
"""Inverse function of sigmoid.
Args:
x (Tensor): The tensor to do the
inverse.
eps (float): EPS avoid num... | 4,262 | 38.841121 | 81 | py |
RoboBEV | RoboBEV-master/zoo/DETR3D/projects/mmdet3d_plugin/models/utils/grid_mask.py | import torch
import torch.nn as nn
import numpy as np
from PIL import Image
class Grid(object):
def __init__(self, use_h, use_w, rotate = 1, offset=False, ratio = 0.5, mode=0, prob = 1.):
self.use_h = use_h
self.use_w = use_w
self.rotate = rotate
self.offset = offset
self.ra... | 3,825 | 30.105691 | 95 | py |
RoboBEV | RoboBEV-master/zoo/DETR3D/projects/mmdet3d_plugin/models/utils/dgcnn_attn.py | import math
import torch
import torch.nn as nn
from mmcv.cnn.bricks.registry import ATTENTION
from mmcv.runner.base_module import BaseModule
@ATTENTION.register_module()
class DGCNNAttn(BaseModule):
"""A warpper for DGCNN-type self-attention.
Args:
embed_dims (int): The embedding dimension.
n... | 3,825 | 38.443299 | 108 | py |
RoboBEV | RoboBEV-master/zoo/DETR3D/projects/mmdet3d_plugin/models/utils/detr3d_transformer.py |
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import xavier_init, constant_init
from mmcv.cnn.bricks.registry import (ATTENTION,
TRANSFORMER_LAYER_SEQUENCE)
from mmcv.cnn.bricks.transformer import (MultiScaleDeformableAttention... | 17,768 | 41.007092 | 103 | py |
RoboBEV | RoboBEV-master/zoo/DETR3D/projects/mmdet3d_plugin/models/backbones/vovnet.py |
from collections import OrderedDict
from mmcv.runner import BaseModule
from mmdet.models.builder import BACKBONES
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.modules.batchnorm import _BatchNorm
VoVNet19_slim_dw_eSE = {
'stem': [64, 64, 64],
'stage_conv_ch': [64, 80, 96, 1... | 11,701 | 30.205333 | 119 | py |
RoboBEV | RoboBEV-master/zoo/DETR3D/projects/mmdet3d_plugin/datasets/uda_nuscenes.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 mmdet3d.core import show_result
from mmdet3d.core.bbox import Box3DMode, Coor... | 25,999 | 38.816233 | 154 | py |
RoboBEV | RoboBEV-master/zoo/DETR3D/projects/mmdet3d_plugin/datasets/nuscenes_dataset.py | import numpy as np
from mmdet.datasets import DATASETS
from mmdet3d.datasets import NuScenesDataset
@DATASETS.register_module()
class CustomNuScenesDataset(NuScenesDataset):
r"""NuScenes Dataset.
This datset only add camera intrinsics and extrinsics to the results.
"""
def get_data_info(self, index)... | 2,846 | 35.974026 | 78 | py |
RoboBEV | RoboBEV-master/zoo/SRCN3D/tools/para.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... | 9,723 | 37.283465 | 141 | py |
RoboBEV | RoboBEV-master/zoo/SRCN3D/tools/generate_dataset.py | import argparse
import os
import warnings
import time
import numpy as np
import torch
import mmcv
from mmdet3d.datasets import build_dataset, build_dataloader
from mmcv import Config, DictAction
from mmdet3d.datasets import build_dataset
from project.mmdet3d_plugin.corruptions import CORRUPTIONS
def parse_args():
... | 4,414 | 34.32 | 128 | py |
RoboBEV | RoboBEV-master/zoo/SRCN3D/tools/test.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
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_dist, load_checkpoint,... | 9,741 | 38.441296 | 79 | py |
RoboBEV | RoboBEV-master/zoo/SRCN3D/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... | 11,425 | 39.51773 | 94 | py |
RoboBEV | RoboBEV-master/zoo/SRCN3D/tools/train.py | # Copyright (c) OpenMMLab. All rights reserved.
from __future__ import division
import os
os.environ["CUDA_VISIBLE_DEVICES"] = "2,3"
import argparse
import copy
import mmcv
import time
import torch
import warnings
from mmcv import Config, DictAction
from mmcv.runner import get_dist_info, init_dist
from os import pat... | 9,707 | 37.070588 | 142 | py |
RoboBEV | RoboBEV-master/zoo/SRCN3D/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/SRCN3D/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/SRCN3D/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/SRCN3D/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/SRCN3D/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/SRCN3D/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/SRCN3D/tools/analysis_tools/get_flops.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import torch
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')
def parse_args():
parser = ar... | 3,147 | 31.791667 | 79 | py |
RoboBEV | RoboBEV-master/zoo/SRCN3D/projects/configs/robust_test/srcn3d_res101_roi7_nusc.py | _base_ = [
'../../../mmdetection3d/configs/_base_/datasets/nus-3d.py',
'../../../mmdetection3d/configs/_base_/default_runtime.py'
]
plugin=True
plugin_dir='projects/mmdet3d_plugin/'
# If point cloud range is changed, the models should also change their point
# cloud range accordingly
point_cloud_range = [-51.... | 8,843 | 32.627376 | 119 | py |
RoboBEV | RoboBEV-master/zoo/SRCN3D/projects/configs/srcn3d/srcn3d_res101_roi7_nusc.py | _base_ = [
'../../../mmdetection3d/configs/_base_/datasets/nus-3d.py',
'../../../mmdetection3d/configs/_base_/default_runtime.py'
]
plugin=True
plugin_dir='projects/mmdet3d_plugin/'
# If point cloud range is changed, the models should also change their point
# cloud range accordingly
point_cloud_range = [-51.... | 8,843 | 32.627376 | 119 | py |
RoboBEV | RoboBEV-master/zoo/SRCN3D/projects/mmdet3d_plugin/apis/inference.py | # Copyright (c) OpenMMLab. All rights reserved.
import re
from copy import deepcopy
from os import path as osp
import mmcv
import numpy as np
import torch
from mmcv.parallel import collate, scatter
from mmcv.runner import load_checkpoint
from mmdet3d.core import (Box3DMode, CameraInstance3DBoxes, Coord3DMode,
... | 18,835 | 32.877698 | 79 | py |
RoboBEV | RoboBEV-master/zoo/SRCN3D/projects/mmdet3d_plugin/apis/test.py | import os.path as osp
import pickle
import shutil
import tempfile
import time
import mmcv
import torch
import torch.distributed as dist
from mmcv.image import tensor2imgs
from mmcv.runner import get_dist_info
from mmdet.core import encode_mask_results
# def single_gpu_test_srcn3d(model,
# data_l... | 9,912 | 35.178832 | 79 | py |
RoboBEV | RoboBEV-master/zoo/SRCN3D/projects/mmdet3d_plugin/core/bbox/util.py | import torch
def normalize_bbox(bboxes, pc_range):
cx = bboxes[..., 0:1]
cy = bboxes[..., 1:2]
cz = bboxes[..., 2:3]
w = bboxes[..., 3:4].log()
l = bboxes[..., 4:5].log()
h = bboxes[..., 5:6].log()
rot = bboxes[..., 6:7]
if bboxes.size(-1) > 7:
vx = bboxes[..., 7:8]
... | 1,464 | 26.641509 | 83 | py |
RoboBEV | RoboBEV-master/zoo/SRCN3D/projects/mmdet3d_plugin/core/bbox/assigners/hungarian_assigner_3d.py | import torch
from mmdet.core.bbox.builder import BBOX_ASSIGNERS
from mmdet.core.bbox.assigners import AssignResult
from mmdet.core.bbox.assigners import BaseAssigner
from mmdet.core.bbox.match_costs import build_match_cost
from mmdet.models.utils.transformer import inverse_sigmoid
from projects.mmdet3d_plugin.core.bbo... | 6,391 | 46.701493 | 79 | py |
RoboBEV | RoboBEV-master/zoo/SRCN3D/projects/mmdet3d_plugin/core/bbox/match_costs/match_cost.py | import torch
from mmdet.core.bbox.match_costs.builder import MATCH_COST
@MATCH_COST.register_module()
class BBox3DL1Cost(object):
"""BBox3DL1Cost.
Args:
weight (int | float, optional): loss_weight
"""
def __init__(self, weight=1.):
self.weight = weight
def __call__(self, bbox_p... | 852 | 30.592593 | 75 | py |
RoboBEV | RoboBEV-master/zoo/SRCN3D/projects/mmdet3d_plugin/core/bbox/coders/nms_free_coder.py | import torch
from mmdet.core.bbox import BaseBBoxCoder
from mmdet.core.bbox.builder import BBOX_CODERS
from projects.mmdet3d_plugin.core.bbox.util import denormalize_bbox
@BBOX_CODERS.register_module()
class NMSFreeCoder(BaseBBoxCoder):
"""Bbox coder for NMS-free detector.
Args:
pc_range (list[float]... | 4,245 | 37.252252 | 109 | py |
RoboBEV | RoboBEV-master/zoo/SRCN3D/projects/mmdet3d_plugin/models/detectors/srcn3d.py | import torch
from mmcv.runner import force_fp32, auto_fp16
from mmdet.models import DETECTORS
from mmdet3d.core import bbox3d2result
from mmdet3d.models.detectors.mvx_two_stage import MVXTwoStageDetector
from projects.mmdet3d_plugin.models.utils.grid_mask import GridMask
@DETECTORS.register_module()
class SRCN3D(MVX... | 9,864 | 43.237668 | 113 | py |
RoboBEV | RoboBEV-master/zoo/SRCN3D/projects/mmdet3d_plugin/models/dense_heads/srcn3d_head.py | import copy
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import Linear, bias_init_with_prob
from mmcv.runner import force_fp32, auto_fp16
from mmdet.models import DETECTORS, build_backbone, build_neck, build_head
from mmdet.core import multi_apply, reduce_mean, bui... | 27,635 | 45.447059 | 161 | py |
RoboBEV | RoboBEV-master/zoo/SRCN3D/projects/mmdet3d_plugin/models/utils/box_torch_ops.py | # Copyright (c) OpenMMLab. All rights reserved.
# TODO: clean the functions in this file and move the APIs into box structures
# in the future
import numba
import numpy as torch
import torch
def camera_to_lidar(points, r_rect, velo2cam):
"""Convert points in camera coordinate to lidar coordinate.
Args:
... | 34,349 | 37.039867 | 85 | py |
RoboBEV | RoboBEV-master/zoo/SRCN3D/projects/mmdet3d_plugin/models/utils/grid_mask.py | import torch
import torch.nn as nn
import numpy as np
from PIL import Image
class Grid(object):
def __init__(self, use_h, use_w, rotate = 1, offset=False, ratio = 0.5, mode=0, prob = 1.):
self.use_h = use_h
self.use_w = use_w
self.rotate = rotate
self.offset = offset
self.ra... | 3,825 | 30.105691 | 95 | py |
RoboBEV | RoboBEV-master/zoo/SRCN3D/projects/mmdet3d_plugin/models/utils/__init__.py |
from .box_torch_ops import center_to_corner_box3d
# from .dynamic_head import DynamicHead
# from .srcn3d_quasi_transformer import SRCN3DQuasiTransformer, SRCN3DDecoder,RCNNHead,DynamicConvAtten
__all__ = ['center_to_corner_box3d']
| 233 | 32.428571 | 103 | py |
RoboBEV | RoboBEV-master/zoo/SRCN3D/projects/mmdet3d_plugin/models/roi_heads/dii_head3d.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
from mmcv.cnn import (Linear, bias_init_with_prob, build_activation_layer,
build_norm_layer)
from mmcv.cnn.bricks.transformer import FFN, MultiheadAttention
from mmcv.runner import auto_fp16, force_fp32
from mmdet... | 19,489 | 44.751174 | 81 | py |
RoboBEV | RoboBEV-master/zoo/SRCN3D/projects/mmdet3d_plugin/models/roi_heads/sparse_roi_head3d.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
import math
from mmdet.core import bbox2result, bbox2roi, bbox_xyxy_to_cxcywh
from mmdet.core.bbox.samplers import PseudoSampler
from mmdet.models.builder import HEADS
from mmdet.models.roi_heads.cascade_roi_head import CascadeRoIHead
from ... | 43,512 | 47.080663 | 169 | py |
RoboBEV | RoboBEV-master/zoo/SRCN3D/projects/mmdet3d_plugin/models/backbones/vovnet.py |
from collections import OrderedDict
from mmcv.runner import BaseModule
from mmdet.models.builder import BACKBONES
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.modules.batchnorm import _BatchNorm
VoVNet19_slim_dw_eSE = {
'stem': [64, 64, 64],
'stage_conv_ch': [64, 80, 96, 1... | 11,701 | 30.205333 | 119 | py |
RoboBEV | RoboBEV-master/zoo/SRCN3D/projects/mmdet3d_plugin/datasets/nuscenes_dataset.py | import numpy as np
from mmdet.datasets import DATASETS
from mmdet3d.datasets import NuScenesDataset
@DATASETS.register_module()
class CustomNuScenesDataset(NuScenesDataset):
r"""NuScenes Dataset.
This datset only add camera intrinsics and extrinsics to the results.
"""
def __init__(self,
... | 6,260 | 36.491018 | 107 | py |
RoboBEV | RoboBEV-master/zoo/PolarFormer/tools/generate_dataset.py | import argparse
import os
import warnings
import time
import numpy as np
import torch
import mmcv
from mmdet3d.datasets import build_dataset, build_dataloader
from mmcv import Config, DictAction
from mmdet3d.datasets import build_dataset
from project.mmdet3d_plugin.corruptions import CORRUPTIONS
SEVERITY = {'1': '... | 5,606 | 35.174194 | 125 | py |
RoboBEV | RoboBEV-master/zoo/PolarFormer/tools/test.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
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_dist, load_checkpoint,... | 9,741 | 38.441296 | 79 | py |
RoboBEV | RoboBEV-master/zoo/PolarFormer/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... | 11,425 | 39.51773 | 94 | py |
RoboBEV | RoboBEV-master/zoo/PolarFormer/tools/train.py | # add auto-resume. copy from mmdet.api.train (the latest version)
# 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_di... | 9,878 | 37.290698 | 125 | py |
RoboBEV | RoboBEV-master/zoo/PolarFormer/projects/configs/robust_test/polarformer_r101_without_bev_aug.py | _base_ = [
'/nvme/konglingdong/models/mmdetection3d/configs/_base_/datasets/nus-3d.py',
'/nvme/konglingdong/models/mmdetection3d/configs/_base_/default_runtime.py'
]
plugin=True
plugin_dir='projects/mmdet3d_plugin/'
# If point cloud range is changed, the models should also change their point
# cloud range acc... | 10,943 | 35.602007 | 181 | py |
RoboBEV | RoboBEV-master/zoo/PolarFormer/projects/configs/robust_test/polarformer_r101.py | _base_ = [
'/nvme/konglingdong/models/mmdetection3d/configs/_base_/datasets/nus-3d.py',
'/nvme/konglingdong/models/mmdetection3d/configs/_base_/default_runtime.py'
]
plugin=True
plugin_dir='projects/mmdet3d_plugin/'
# If point cloud range is changed, the models should also change their point
# cloud range acc... | 10,560 | 35.543253 | 119 | py |
RoboBEV | RoboBEV-master/zoo/PolarFormer/projects/configs/polarformer/polarformer_r101_without_bev_aug.py | _base_ = [
'/nvme/konglingdong/models/mmdetection3d/configs/_base_/datasets/nus-3d.py',
'/nvme/konglingdong/models/mmdetection3d/configs/_base_/default_runtime.py'
]
plugin=True
plugin_dir='projects/mmdet3d_plugin/'
# If point cloud range is changed, the models should also change their point
# cloud range acc... | 10,677 | 35.074324 | 181 | py |
RoboBEV | RoboBEV-master/zoo/PolarFormer/projects/configs/polarformer/polarformer_r101.py | _base_ = [
'/nvme/konglingdong/models/mmdetection3d/configs/_base_/datasets/nus-3d.py',
'/nvme/konglingdong/models/mmdetection3d/configs/_base_/default_runtime.py'
]
plugin=True
plugin_dir='projects/mmdet3d_plugin/'
# If point cloud range is changed, the models should also change their point
# cloud range acc... | 10,354 | 35.080139 | 119 | py |
RoboBEV | RoboBEV-master/zoo/PolarFormer/projects/mmdet3d_plugin/core/bbox/util.py | import torch
import math
def normalize_bbox(bboxes, pc_range):
cx = bboxes[..., 0:1]
cy = bboxes[..., 1:2]
cz = bboxes[..., 2:3]
w = bboxes[..., 3:4].log()
l = bboxes[..., 4:5].log()
h = bboxes[..., 5:6].log()
rot = bboxes[..., 6:7]
# change to polar coord
theta_center = torch... | 2,288 | 31.239437 | 89 | py |
RoboBEV | RoboBEV-master/zoo/PolarFormer/projects/mmdet3d_plugin/core/bbox/assigners/hungarian_assigner_3d.py | import torch
from mmdet.core.bbox.builder import BBOX_ASSIGNERS
from mmdet.core.bbox.assigners import AssignResult
from mmdet.core.bbox.assigners import BaseAssigner
from mmdet.core.bbox.match_costs import build_match_cost
from mmdet.models.utils.transformer import inverse_sigmoid
from projects.mmdet3d_plugin.core.bbo... | 6,760 | 47.640288 | 96 | py |
RoboBEV | RoboBEV-master/zoo/PolarFormer/projects/mmdet3d_plugin/core/bbox/match_costs/match_cost.py | import torch
from mmdet.core.bbox.match_costs.builder import MATCH_COST
@MATCH_COST.register_module()
class BBox3DL1Cost(object):
"""BBox3DL1Cost.
Args:
weight (int | float, optional): loss_weight
"""
def __init__(self, weight=1.):
self.weight = weight
def __call__(self, bbox_p... | 852 | 30.592593 | 75 | py |
RoboBEV | RoboBEV-master/zoo/PolarFormer/projects/mmdet3d_plugin/core/bbox/samplers/sampling_results.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmdet.utils import util_mixins
class SamplingResult3D(util_mixins.NiceRepr):
"""Bbox sampling result.
Example:
>>> # xdoctest: +IGNORE_WANT
>>> from mmdet.core.bbox.samplers.sampling_result import * # NOQA
>>> self = ... | 5,416 | 34.405229 | 105 | py |
RoboBEV | RoboBEV-master/zoo/PolarFormer/projects/mmdet3d_plugin/core/bbox/samplers/pseudo_sampler.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmdet.core.bbox.builder import BBOX_SAMPLERS
from mmdet.core.bbox.samplers.base_sampler import BaseSampler
from .sampling_results import SamplingResult3D
@BBOX_SAMPLERS.register_module()
class PseudoSampler3D(BaseSampler):
"""A pseudo sampler that... | 1,507 | 34.904762 | 81 | py |
RoboBEV | RoboBEV-master/zoo/PolarFormer/projects/mmdet3d_plugin/core/bbox/coders/nms_free_coder.py | import torch
from mmdet.core.bbox import BaseBBoxCoder
from mmdet.core.bbox.builder import BBOX_CODERS
from projects.mmdet3d_plugin.core.bbox.util import denormalize_bbox
@BBOX_CODERS.register_module()
class NMSFreeCoder(BaseBBoxCoder):
"""Bbox coder for NMS-free detector.
Args:
pc_range (list[float]... | 4,163 | 36.513514 | 109 | py |
RoboBEV | RoboBEV-master/zoo/PolarFormer/projects/mmdet3d_plugin/models/detectors/polarformer.py | # ------------------------------------------------------------------------
# Copyright (c) 2022 Fudan Zhang Vision Group. All Rights Reserved.
# ------------------------------------------------------------------------
# Modified from DETR3D (https://github.com/WangYueFt/detr3d)
# Copyright (c) 2021 Wang, Yue
# --------... | 10,016 | 43.323009 | 121 | py |
RoboBEV | RoboBEV-master/zoo/PolarFormer/projects/mmdet3d_plugin/models/necks/fpn_trans.py | from mmdet.models.necks import FPN
from ..utils.positional_encoding import TransSinePositionalEncoding
import torch
import torch.nn as nn
from mmdet.models import NECKS
from mmdet.models.backbones.resnet import BasicBlock, Bottleneck
import torch.nn.functional as F
import math
from ..utils.bev_aug import BEVRandomRotat... | 14,720 | 47.745033 | 177 | py |
RoboBEV | RoboBEV-master/zoo/PolarFormer/projects/mmdet3d_plugin/models/dense_heads/polarformer_head.py | # ------------------------------------------------------------------------
# Copyright (c) 2022 Fudan Zhang Vision Group. All Rights Reserved.
# ------------------------------------------------------------------------
# Modified from DETR3D (https://github.com/WangYueFt/detr3d)
# Copyright (c) 2021 Wang, Yue
# --------... | 22,424 | 45.141975 | 141 | py |
RoboBEV | RoboBEV-master/zoo/PolarFormer/projects/mmdet3d_plugin/models/utils/bev_aug.py | import torch
import torch.nn.functional as F
import torch.nn as nn
import numpy as np
import math
import random
class BEVRandomRotateScale(nn.Module):
def __init__(self,
prob=0.5,
max_rotate_degree=22.5,
scaling_ratio_range=(0.95, 1.05),
pc_range=... | 5,775 | 41.785185 | 125 | py |
RoboBEV | RoboBEV-master/zoo/PolarFormer/projects/mmdet3d_plugin/models/utils/polar_transformer.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import warnings
from typing import Sequence
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import (build_activation_layer, build_conv_layer,
build_norm_layer, xavier_init)
from mmcv.cnn.bricks.registry i... | 21,673 | 40.761079 | 98 | py |
RoboBEV | RoboBEV-master/zoo/PolarFormer/projects/mmdet3d_plugin/models/utils/grid_mask.py | import torch
import torch.nn as nn
import numpy as np
from PIL import Image
class Grid(object):
def __init__(self, use_h, use_w, rotate = 1, offset=False, ratio = 0.5, mode=0, prob = 1.):
self.use_h = use_h
self.use_w = use_w
self.rotate = rotate
self.offset = offset
self.ra... | 3,825 | 30.105691 | 95 | py |
RoboBEV | RoboBEV-master/zoo/PolarFormer/projects/mmdet3d_plugin/models/utils/positional_encoding.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
from turtle import forward
import torch
import torch.nn as nn
from mmcv.cnn.bricks.transformer import POSITIONAL_ENCODING
from mmcv.runner import BaseModule
@POSITIONAL_ENCODING.register_module()
class TransSinePositionalEncoding(BaseModule):
"""Positio... | 6,679 | 39 | 90 | py |
RoboBEV | RoboBEV-master/zoo/PolarFormer/projects/mmdet3d_plugin/models/backbones/vovnet.py |
from collections import OrderedDict
from mmcv.runner import BaseModule
from mmdet.models.builder import BACKBONES
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.modules.batchnorm import _BatchNorm
VoVNet19_slim_dw_eSE = {
'stem': [64, 64, 64],
'stage_conv_ch': [64, 80, 96, 1... | 11,701 | 30.205333 | 119 | py |
RoboBEV | RoboBEV-master/zoo/PolarFormer/projects/mmdet3d_plugin/datasets/nuscenes_dataset.py | # ------------------------------------------------------------------------
# Copyright (c) 2022 Fudan Zhang Vision Group. All Rights Reserved.
# ------------------------------------------------------------------------
# Modified from DETR3D (https://github.com/WangYueFt/detr3d)
# Copyright (c) 2021 Wang, Yue
# --------... | 6,315 | 39.748387 | 78 | py |
RoboBEV | RoboBEV-master/zoo/FCOS3D/tools/generate_dataset.py | import argparse
import os
import warnings
import time
import numpy as np
import torch
import mmcv
from mmdet3d.datasets import build_dataset, build_dataloader
from mmcv import Config, DictAction
from mmdet3d.datasets import build_dataset
from project.mmdet3d_plugin.corruptions import CORRUPTIONS
def parse_args():
... | 4,414 | 34.32 | 128 | py |
RoboBEV | RoboBEV-master/zoo/FCOS3D/tools/test.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
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_dist, load_checkpoint,... | 9,736 | 38.581301 | 79 | py |
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