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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DeepAA | DeepAA-master/resnet.py | import os
import tensorflow as tf
# ref: https://github.com/gahaalt/resnets-in-tensorflow2/blob/master/Models/Resnets.py
_bn_momentum = 0.9
def regularized_padded_conv(*args, **kwargs):
return tf.keras.layers.Conv2D(*args, **kwargs, padding='same', kernel_regularizer=_regularizer, bias_regularizer=_regularizer,
... | 12,655 | 49.624 | 183 | py |
DeepAA | DeepAA-master/policy.py | import tensorflow as tf
import numpy as np
import math
import json
from tensorflow_probability import distributions as tfd
from resnet import Resnet
CIFAR_MEANS = np.array([0.49139968, 0.48215841, 0.44653091], dtype=np.float32)
CIFAR_STDS = np.array([0.2023, 0.1994, 0.2010], dtype=np.float32)
SVHN_MEANS = np.array(... | 7,142 | 51.138686 | 139 | py |
DeepAA | DeepAA-master/DeepAA_search.py | _PARALLEL_BATCH_small, _PARALLEL_BATCH_median, _PARALLEL_BATCH_large = 16, 128, 256 # 64
import os
import sys
import numpy as np
import tensorflow as tf
tf.config.threading.set_inter_op_parallelism_threads(0)
gpus = tf.config.list_physical_devices('GPU')
for gpu in gpus:
tf.config.experimental.set_memory_growth(gp... | 31,956 | 53.908935 | 187 | py |
DeepAA | DeepAA-master/DeepAA_evaluate/lr_scheduler.py | import torch
from theconf import Config as C
def adjust_learning_rate_resnet(optimizer):
"""
Sets the learning rate to the initial LR decayed by 10 on every predefined epochs
Ref: AutoAugment
"""
if C.get()['epoch'] == 90:
return torch.optim.lr_scheduler.MultiStepLR(optimizer, [30, 60, 8... | 645 | 31.3 | 85 | py |
DeepAA | DeepAA-master/DeepAA_evaluate/augmentations.py | # code in this file is adpated from rpmcruz/autoaugment
# https://github.com/rpmcruz/autoaugment/blob/master/transformations.py
import numpy as np
import torch
from DeepAA_evaluate import autoaugment, fast_autoaugment
import aug_lib
class Lighting(object):
"""Lighting noise(AlexNet - style PCA - based noise)"""... | 2,507 | 30.35 | 72 | py |
DeepAA | DeepAA-master/DeepAA_evaluate/deep_autoaugment.py | # code in this file is adpated from rpmcruz/autoaugment
# https://github.com/rpmcruz/autoaugment/blob/master/transformations.py
import random
import math
import PIL, PIL.ImageOps, PIL.ImageEnhance, PIL.ImageDraw
import numpy as np
import torch
import os
import json
import hashlib
import requests
import scipy
from torc... | 16,098 | 30.879208 | 133 | py |
DeepAA | DeepAA-master/DeepAA_evaluate/utils.py | import torch
import numpy as np
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
import torchvision.transforms.functional as F
plt.rcParams["savefig.bbox"] = 'tight'
def save_images(imgs, dir):
if not isinstance(imgs, list):
imgs = [imgs]
fix, axs = plt.subplots(ncols=len(i... | 590 | 24.695652 | 75 | py |
DeepAA | DeepAA-master/DeepAA_evaluate/data.py | import logging
import os
import random
from collections import Counter
import torchvision
from PIL import Image
from torch.utils.data import SubsetRandomSampler, Sampler
from torch.utils.data.distributed import DistributedSampler
from torch.utils.data.dataset import ConcatDataset, Subset
from torchvision.transforms i... | 19,585 | 44.761682 | 176 | py |
DeepAA | DeepAA-master/DeepAA_evaluate/fast_autoaugment.py | # code in this file is adpated from rpmcruz/autoaugment
# https://github.com/rpmcruz/autoaugment/blob/master/transformations.py
import random
import PIL, PIL.ImageOps, PIL.ImageEnhance, PIL.ImageDraw
import numpy as np
import torch
from torchvision.transforms.transforms import Compose
random_mirror = True
def Shear... | 117,783 | 392.926421 | 55,120 | py |
DeepAA | DeepAA-master/DeepAA_evaluate/common.py | import logging
import warnings
import random
from copy import copy
from typing import Union
from collections import Counter
import numpy as np
import torch
from torch.utils.checkpoint import check_backward_validity, detach_variable, get_device_states, set_device_states
from torchvision.datasets import VisionDataset, C... | 3,469 | 34.408163 | 230 | py |
DeepAA | DeepAA-master/DeepAA_evaluate/metrics.py | import copy
import torch
from collections import defaultdict
from torch import nn
def accuracy(output, target, topk=(1,)):
"""Computes the precision@k for the specified values of k"""
maxk = max(topk)
batch_size = target.size(0)
_, pred = output.topk(maxk, 1, True, True)
pred = pred.t()
cor... | 2,281 | 24.076923 | 80 | py |
DeepAA | DeepAA-master/DeepAA_evaluate/train.py | import itertools
import json, csv
import logging
import math
import os
from collections import OrderedDict
import gc
import tempfile
import pickle
from dataclasses import dataclass
import random
from time import time
import numpy as np
import torch
from torch import nn, optim
import torch.distributed as dist
import to... | 22,694 | 44.209163 | 286 | py |
DeepAA | DeepAA-master/DeepAA_evaluate/imagenet.py | from torchvision.datasets.imagenet import *
class ImageNet(ImageFolder):
"""`ImageNet <http://image-net.org/>`_ 2012 Classification Dataset.
Copied from torchvision, besides warning below.
Args:
root (string): Root directory of the ImageNet Dataset.
split (string, optional): The dataset sp... | 3,096 | 42.013889 | 118 | py |
DeepAA | DeepAA-master/DeepAA_evaluate/networks/resnet.py | # Original code: https://github.com/pytorch/vision/blob/master/torchvision/models/resnet.py
# gamma is initialized ot 0 in the last BN of each residual block
import torch.nn as nn
import math
def conv3x3(in_planes, out_planes, stride=1):
"3x3 convolution with padding"
return nn.Conv2d(in_planes, out_planes, ... | 6,492 | 34.288043 | 135 | py |
DeepAA | DeepAA-master/DeepAA_evaluate/networks/mlp.py | import torch
from torch import nn
def MLP(D_out,in_dims,adaptive_dropouter_creator):
print('adaptive dropouter', adaptive_dropouter_creator)
in_dim = 1
for d in in_dims: in_dim *= d
ada_dropper = adaptive_dropouter_creator(100) if adaptive_dropouter_creator is not None else None
model = nn.Sequent... | 616 | 28.380952 | 101 | py |
DeepAA | DeepAA-master/DeepAA_evaluate/networks/__init__.py | import torch
from torch import nn
from torch.nn import DataParallel
import torch.backends.cudnn as cudnn
# from torchvision import models
from DeepAA_evaluate.networks.resnet import ResNet
from DeepAA_evaluate.networks.shakeshake.shake_resnet import ShakeResNet
from DeepAA_evaluate.networks.wideresnet import WideResN... | 3,545 | 42.243902 | 316 | py |
DeepAA | DeepAA-master/DeepAA_evaluate/networks/convnet.py | import torch
from torch import nn
class SeqConvNet(nn.Module):
def __init__(self,D_out,fixed_dropout=None,in_channels=3,channels=(64,64),h_dims=(200,100),adaptive_dropout_creator=None,batch_norm=False):
super().__init__()
print("Using SeqConvNet")
assert len(channels) == 2 == len(h_dims)
... | 1,546 | 47.34375 | 143 | py |
DeepAA | DeepAA-master/DeepAA_evaluate/networks/wideresnet.py | import torch
import torch.nn as nn
import torch.nn.init as init
import torch.nn.functional as F
import numpy as np
_bn_momentum = 0.1
CpG = 8
class ExampleWiseBatchNorm2d(nn.BatchNorm2d):
def __init__(self, num_features, eps=1e-5, momentum=0.1,
affine=True, track_running_stats=True):
su... | 8,885 | 39.949309 | 171 | py |
DeepAA | DeepAA-master/DeepAA_evaluate/networks/shakeshake/shake_resnet.py | # -*- coding: utf-8 -*-
import math
import torch.nn as nn
import torch.nn.functional as F
from DeepAA_evaluate.networks.shakeshake.shakeshake import ShakeShake
from DeepAA_evaluate.networks.shakeshake.shakeshake import Shortcut
class ShakeBlock(nn.Module):
def __init__(self, in_ch, out_ch, stride=1):
... | 2,927 | 32.655172 | 89 | py |
DeepAA | DeepAA-master/DeepAA_evaluate/networks/shakeshake/shake_resnext.py | # -*- coding: utf-8 -*-
import math
import torch.nn as nn
import torch.nn.functional as F
from DeepAA_evaluate.networks.shakeshake.shakeshake import ShakeShake
from DeepAA_evaluate.networks.shakeshake.shakeshake import Shortcut
class ShakeBottleNeck(nn.Module):
def __init__(self, in_ch, mid_ch, out_ch, cardin... | 3,094 | 35.411765 | 97 | py |
DeepAA | DeepAA-master/DeepAA_evaluate/networks/shakeshake/shakeshake.py | # -*- coding: utf-8 -*-
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
class ShakeShake(torch.autograd.Function):
@staticmethod
def forward(ctx, x1, x2, training=True):
if training:
alpha = torch.cuda.FloatTensor(x1.size(0)).uniform... | 1,413 | 27.857143 | 86 | py |
3DTrans | 3DTrans-master/setup.py | import os
import subprocess
from setuptools import find_packages, setup
from torch.utils.cpp_extension import BuildExtension, CUDAExtension
def get_git_commit_number():
if not os.path.exists('.git'):
return '0000000'
cmd_out = subprocess.run(['git', 'rev-parse', 'HEAD'], stdout=subprocess.PIPE)
... | 3,945 | 31.344262 | 83 | py |
3DTrans | 3DTrans-master/tools/train_active_CLUE.py | import _init_path
import os
import torch
import torch.nn as nn
from tensorboardX import SummaryWriter
from pcdet.config import cfg, log_config_to_file, cfg_from_yaml_file, cfg_from_list
from pcdet.utils import common_utils
from pcdet.datasets import build_dataloader, build_dataloader_ada
from pcdet.models import build_... | 10,579 | 42.00813 | 169 | py |
3DTrans | 3DTrans-master/tools/train_multi_db.py | import _init_path
import argparse
import datetime
import glob
import os
from pathlib import Path
from test import repeat_eval_ckpt
import torch
import torch.nn as nn
from tensorboardX import SummaryWriter
from pcdet.config import cfg, cfg_from_list, cfg_from_yaml_file, log_config_to_file
from pcdet.datasets import bu... | 11,953 | 44.800766 | 142 | py |
3DTrans | 3DTrans-master/tools/train_pointcontrast.py | print('program started',)
import _init_path
import argparse
import datetime
import glob
import os
from pathlib import Path
from test import repeat_eval_ckpt
import torch
import torch.nn as nn
from tensorboardX import SummaryWriter
from pcdet.config import cfg, cfg_from_list, cfg_from_yaml_file, log_config_to_file
fro... | 9,328 | 44.286408 | 169 | py |
3DTrans | 3DTrans-master/tools/test.py | import _init_path
import argparse
import datetime
import glob
import os
import re
import time
from pathlib import Path
import numpy as np
import torch
from tensorboardX import SummaryWriter
from eval_utils import eval_utils
from pcdet.config import cfg, cfg_from_list, cfg_from_yaml_file, log_config_to_file
from pcdet... | 8,740 | 40.42654 | 120 | py |
3DTrans | 3DTrans-master/tools/train_ada.py | import os
import math
import torch
import torch.nn as nn
from tensorboardX import SummaryWriter
from pcdet.config import cfg, log_config_to_file, cfg_from_yaml_file, cfg_from_list
from pcdet.utils import common_utils
from pcdet.datasets import build_dataloader, build_dataloader_ada
from pcdet.models import build_networ... | 13,489 | 42.376206 | 169 | py |
3DTrans | 3DTrans-master/tools/train_uda.py | import _init_path
import argparse
import datetime
import glob
import os
from pathlib import Path
from test import repeat_eval_ckpt
import torch
import torch.nn as nn
from tensorboardX import SummaryWriter
from pcdet.config import cfg, cfg_from_list, cfg_from_yaml_file, log_config_to_file
from pcdet.datasets import bu... | 10,156 | 42.592275 | 125 | py |
3DTrans | 3DTrans-master/tools/train_semi.py | import _init_path
import argparse
import datetime
import glob
import os
from pathlib import Path
import copy
import torch
import torch.distributed as dist
import torch.nn as nn
from tensorboardX import SummaryWriter
from pcdet.config import cfg, cfg_from_list, cfg_from_yaml_file, log_config_to_file
from pcdet.dataset... | 17,324 | 46.465753 | 148 | py |
3DTrans | 3DTrans-master/tools/train_multi_db_merge_loss.py | import _init_path
import argparse
import datetime
import glob
import os
from pathlib import Path
from test import repeat_eval_ckpt
import torch
import torch.nn as nn
from tensorboardX import SummaryWriter
from pcdet.config import cfg, cfg_from_list, cfg_from_yaml_file, log_config_to_file
from pcdet.datasets import bu... | 11,823 | 43.119403 | 125 | py |
3DTrans | 3DTrans-master/tools/demo.py | import argparse
import glob
from pathlib import Path
try:
import open3d
from visual_utils import open3d_vis_utils as V
OPEN3D_FLAG = True
except:
import mayavi.mlab as mlab
from visual_utils import visualize_utils as V
OPEN3D_FLAG = False
import numpy as np
import torch
from pcdet.config impo... | 3,748 | 32.176991 | 118 | py |
3DTrans | 3DTrans-master/tools/test_multi_db_sim.py | import _init_path
import argparse
import datetime
import glob
import os
import re
import time
from pathlib import Path
import numpy as np
import torch
from tensorboardX import SummaryWriter
from eval_utils import eval_utils
from pcdet.config import cfg, cfg_from_list, cfg_from_yaml_file, log_config_to_file
from pcdet... | 10,010 | 43.691964 | 142 | py |
3DTrans | 3DTrans-master/tools/pseudo_label.py | import _init_path
import argparse
import datetime
import glob
import os
from pathlib import Path
from test import repeat_eval_ckpt
import torch
import torch.nn as nn
from tensorboardX import SummaryWriter
from pcdet.config import cfg, cfg_from_list, cfg_from_yaml_file, log_config_to_file
from pcdet.datasets import bu... | 9,821 | 42.460177 | 149 | py |
3DTrans | 3DTrans-master/tools/train_multi_db_3db.py | import _init_path
import argparse
import datetime
import glob
import os
from pathlib import Path
from test import repeat_eval_ckpt
import torch
import torch.nn as nn
from tensorboardX import SummaryWriter
from pcdet.config import cfg, cfg_from_list, cfg_from_yaml_file, log_config_to_file
from pcdet.datasets import bu... | 12,450 | 44.441606 | 144 | py |
3DTrans | 3DTrans-master/tools/train_active_dual_target.py | import os
import torch
import torch.nn as nn
from tensorboardX import SummaryWriter
from pcdet.config import cfg, log_config_to_file, cfg_from_yaml_file, cfg_from_list
from pcdet.utils import common_utils
from pcdet.datasets import build_dataloader, build_dataloader_ada
from pcdet.models import build_network, model_fn_... | 12,316 | 42.83274 | 169 | py |
3DTrans | 3DTrans-master/tools/train_active_source.py | import _init_path
import os
import math
import torch
import torch.nn as nn
from tensorboardX import SummaryWriter
from pcdet.config import cfg, log_config_to_file, cfg_from_yaml_file, cfg_from_list
from pcdet.utils import common_utils
from pcdet.datasets import build_dataloader_ada
from pcdet.models import build_networ... | 11,822 | 42.307692 | 169 | py |
3DTrans | 3DTrans-master/tools/test_multi_db.py | import _init_path
import argparse
import datetime
import glob
import os
import re
import time
from pathlib import Path
import numpy as np
import torch
from tensorboardX import SummaryWriter
from eval_utils import eval_utils
from pcdet.config import cfg, cfg_from_list, cfg_from_yaml_file, log_config_to_file
from pcdet... | 10,103 | 42.74026 | 142 | py |
3DTrans | 3DTrans-master/tools/train_random.py | import _init_path
import os
import torch
import torch.nn as nn
from tensorboardX import SummaryWriter
from pcdet.config import cfg, log_config_to_file, cfg_from_yaml_file, cfg_from_list
from pcdet.utils import common_utils, active_learning_utils
from pcdet.datasets import build_dataloader, build_dataloader_ada
from pcd... | 10,606 | 43.195833 | 171 | py |
3DTrans | 3DTrans-master/tools/test_semi.py | import _init_path
import argparse
import datetime
import glob
import os
import re
import time
from pathlib import Path
import copy
import numpy as np
import torch
from tensorboardX import SummaryWriter
from eval_utils import eval_utils
from pcdet.config import cfg, cfg_from_list, cfg_from_yaml_file, log_config_to_fil... | 9,442 | 41.15625 | 120 | py |
3DTrans | 3DTrans-master/tools/train_random_target.py | import _init_path
import os
import torch
import torch.nn as nn
from tensorboardX import SummaryWriter
from pcdet.config import cfg, log_config_to_file, cfg_from_yaml_file, cfg_from_list
from pcdet.utils import common_utils, active_learning_utils
from pcdet.datasets import build_dataloader, build_dataloader_ada
from pcd... | 9,802 | 42.568889 | 169 | py |
3DTrans | 3DTrans-master/tools/train.py | print('program started',)
import _init_path
import argparse
import datetime
import glob
import os
from pathlib import Path
from test import repeat_eval_ckpt
import torch
import torch.nn as nn
from tensorboardX import SummaryWriter
from pcdet.config import cfg, cfg_from_list, cfg_from_yaml_file, log_config_to_file
fro... | 9,054 | 43.605911 | 125 | py |
3DTrans | 3DTrans-master/tools/test_multi_db_3db.py | import _init_path
import argparse
import datetime
import glob
import os
import re
import time
from pathlib import Path
import numpy as np
import torch
from tensorboardX import SummaryWriter
from eval_utils import eval_utils
from pcdet.config import cfg, cfg_from_list, cfg_from_yaml_file, log_config_to_file
from pcdet... | 10,576 | 43.441176 | 144 | py |
3DTrans | 3DTrans-master/tools/train_active_TQS.py | import _init_path
import os
import torch
import torch.nn as nn
from tensorboardX import SummaryWriter
from pcdet.config import cfg, log_config_to_file, cfg_from_yaml_file, cfg_from_list
from pcdet.utils import common_utils
from pcdet.datasets import build_dataloader, build_dataloader_ada
from pcdet.models import build_... | 12,020 | 42.554348 | 169 | py |
3DTrans | 3DTrans-master/tools/train_bi3d_st3d.py | import _init_path
import os
import torch
import torch.nn as nn
from tensorboardX import SummaryWriter
from pcdet.config import cfg, log_config_to_file, cfg_from_yaml_file, cfg_from_list
from pcdet.utils import common_utils
from pcdet.datasets import build_dataloader, build_dataloader_ada
from pcdet.models import build_... | 11,970 | 42.530909 | 169 | py |
3DTrans | 3DTrans-master/tools/tools_utils/open3d_vis_utils.py | """
Open3d visualization tool box
Written by Jihan YANG
All rights preserved from 2021 - present.
"""
import open3d
import torch
import matplotlib
import numpy as np
box_colormap = [
[1, 1, 1],
[0, 1, 0],
[0, 1, 1],
[1, 1, 0],
]
def get_coor_colors(obj_labels):
"""
Args:
obj_labels: 1... | 3,478 | 28.483051 | 145 | py |
3DTrans | 3DTrans-master/tools/tools_utils/dataset.py | from ast import arg
# from http.client import _DataType
import os
import matplotlib.pyplot as plt
import boto3
import io
import pickle
import numpy as np
import argparse
import pickle
import os
from collections import defaultdict
import time, copy
import numpy as np
import torch
import open3d as o3d
import open3d
impor... | 9,518 | 43.274419 | 131 | py |
3DTrans | 3DTrans-master/tools/tools_utils/split_kitti_train.py | import os
import torch
import pickle
import json
import copy
import random
nuscenes_info_path_train = ""
with open(nuscenes_info_path_train, 'rb') as f:
infos_train = pickle.load(f)
random.shuffle(infos_train)
total_len = len(infos_train)
# list_01 = infos_train[:int(total_len*0.01)]
list_05 = infos_train[:int... | 1,128 | 24.088889 | 52 | py |
3DTrans | 3DTrans-master/tools/tools_utils/split_nuscenes_location.py | import os
import torch
import pickle
import json
location_info_path = ""
nuscenes_info_path_train = ""
nuscenes_info_path_val = ""
with open(nuscenes_info_path_train, 'rb') as f:
infos_train = pickle.load(f)
with open(nuscenes_info_path_val, 'rb') as f:
infos_val = pickle.load(f)
with open(location_inf... | 3,656 | 33.828571 | 128 | py |
3DTrans | 3DTrans-master/tools/tools_utils/split_nusc_train.py | import os
import torch
import pickle
import json
import random
import copy
nuscenes_info_path_train = ""
once_info_path_train = ""
kitti_info = ""
with open(once_info_path_train, 'rb') as f:
infos_train = pickle.load(f)
# random.shuffle(infos_train)
total_len = len(infos_train)
N = 10
infos_train_enlarge = copy... | 801 | 21.914286 | 56 | py |
3DTrans | 3DTrans-master/tools/unsupervised_utils/pointcontrast_utils.py | import os
import glob
# from plotly import data
from pcdet.models import load_data_to_gpu
import torch
import tqdm
from pcdet.models import load_data_to_gpu
from torch.nn.utils import clip_grad_norm_
from ssl_utils.semi_utils import random_world_flip, random_world_rotation, random_world_scaling
from pcdet.models.detect... | 8,215 | 39.27451 | 117 | py |
3DTrans | 3DTrans-master/tools/eval_utils/eval_utils.py | import pickle
import time
import numpy as np
import torch
import tqdm
from pcdet.models import load_data_to_gpu
from pcdet.utils import common_utils
def statistics_info(cfg, ret_dict, metric, disp_dict):
for cur_thresh in cfg.MODEL.POST_PROCESSING.RECALL_THRESH_LIST:
metric['recall_roi_%s' % str(cur_thr... | 10,327 | 37.251852 | 151 | py |
3DTrans | 3DTrans-master/tools/show_squence_demo/demo.py | import os
import copy
import pickle
from collections import defaultdict
import json
import numpy as np
from pathlib import Path
import argparse
import torch
from utils import Visualizer, LabelLUT
from utils.base_dataset import DataCollect
from pcdet.ops.roiaware_pool3d.roiaware_pool3d_utils import points_in_boxes_gp... | 6,236 | 32.532258 | 124 | py |
3DTrans | 3DTrans-master/tools/show_squence_demo/utils/gui.py | import math
import sys
import numpy as np
import threading
import open3d as o3d
from open3d.visualization import gui
from open3d.visualization import rendering
from collections import deque
from .components import *
import time
import os
class Model:
"""The class that helps build visualization models based on at... | 73,715 | 38.294243 | 129 | py |
3DTrans | 3DTrans-master/tools/ssl_utils/semi_train_utils.py | import glob
import os
import torch
import tqdm
from torch.nn.utils import clip_grad_norm_
from .sess import sess
from .pseudo_label import pseudo_label
from .iou_match_3d import iou_match_3d
from .se_ssd import se_ssd
semi_learning_methods = {
'SESS': sess,
'Pseudo-Label': pseudo_label,
'3DIoUMatch': iou_m... | 9,752 | 42.346667 | 159 | py |
3DTrans | 3DTrans-master/tools/ssl_utils/semi_utils.py | import torch
import numpy as np
from pcdet.models.model_utils import model_nms_utils
try:
import kornia
except:
pass
def load_data_to_gpu(batch_dict):
# for key, val in batch_dict.items():
# if not isinstance(val, np.ndarray):
# continue
# if key in ['frame_id', 'metadata', 'c... | 7,199 | 34.46798 | 91 | py |
3DTrans | 3DTrans-master/tools/ssl_utils/iou_match_3d.py | import torch
from .semi_utils import reverse_transform, load_data_to_gpu, construct_pseudo_label
from pcdet.models.model_utils.model_nms_utils import class_agnostic_nms
@torch.no_grad()
def iou_match_3d_filter(batch_dict, cfgs):
batch_size = batch_dict['batch_size']
pred_dicts = []
for index in range(batch... | 3,447 | 38.181818 | 130 | py |
3DTrans | 3DTrans-master/tools/ssl_utils/sess.py | import torch
import torch.nn.functional as F
import numpy as np
from .semi_utils import reverse_transform, load_data_to_gpu, filter_boxes
def get_consistency_loss(teacher_boxes, student_boxes):
center_losses, size_losses, cls_losses = [], [], []
batch_normalizer = 0
for teacher_box, student_box in zip(teac... | 6,566 | 54.184874 | 148 | py |
3DTrans | 3DTrans-master/tools/ssl_utils/se_ssd.py | import torch
import torch.nn.functional as F
import numpy as np
from .semi_utils import reverse_transform, load_data_to_gpu, filter_boxes
from pcdet.ops.iou3d_nms.iou3d_nms_utils import boxes_iou3d_gpu
def get_iou_consistency_loss(teacher_boxes, student_boxes):
box_losses, cls_losses = [], []
batch_normalizer ... | 5,617 | 51.018519 | 148 | py |
3DTrans | 3DTrans-master/tools/ssl_utils/pseudo_label.py | import torch
from .semi_utils import reverse_transform, load_data_to_gpu, construct_pseudo_label
def pseudo_label(teacher_model, student_model,
ld_teacher_batch_dict, ld_student_batch_dict,
ud_teacher_batch_dict, ud_student_batch_dict,
cfgs, epoch_id, dist
... | 2,249 | 42.269231 | 130 | py |
3DTrans | 3DTrans-master/tools/train_utils/train_active_CLUE.py | import glob
import os
import pickle
from symbol import parameters
import torch
import tqdm
import time
from torch.nn.utils import clip_grad_norm_
from pcdet.utils import common_utils, commu_utils, self_training_utils
from pcdet.models import load_data_to_gpu
from pcdet.datasets import build_dataloader, build_dataloade... | 11,006 | 41.334615 | 170 | py |
3DTrans | 3DTrans-master/tools/train_utils/train_active_source_utils.py | from dis import dis
import glob
import os
import pickle
import torch
import tqdm
import time
from torch.nn.utils import clip_grad_norm_
from pcdet.utils import common_utils, commu_utils, self_training_utils
from pcdet.models import load_data_to_gpu
from pcdet.datasets import build_dataloader, build_dataloader_ada
from... | 29,688 | 43.31194 | 175 | py |
3DTrans | 3DTrans-master/tools/train_utils/train_st_utils.py | import torch
import os
import glob
import tqdm
from torch.nn.utils import clip_grad_norm_
from pcdet.utils import common_utils
from pcdet.utils import self_training_utils
from pcdet.config import cfg
from .train_utils import save_checkpoint, checkpoint_state
def train_one_epoch_st(model, optimizer, source_reader, tar... | 8,582 | 46.41989 | 125 | py |
3DTrans | 3DTrans-master/tools/train_utils/train_utils.py | import glob
import os
import torch
import tqdm
import time
from torch.nn.utils import clip_grad_norm_
from pcdet.utils import common_utils, commu_utils
def train_one_epoch(model, optimizer, train_loader, model_func, lr_scheduler, accumulated_iter, optim_cfg,
rank, tbar, total_it_each_epoch, datal... | 6,737 | 38.174419 | 132 | py |
3DTrans | 3DTrans-master/tools/train_utils/train_active_target_utils.py | import glob
import os
import pickle
import torch
import tqdm
import time
from torch.nn.utils import clip_grad_norm_
from pcdet.utils import common_utils, commu_utils
from pcdet.utils import active_learning_utils
from pcdet.datasets import build_dataloader_ada
from pcdet.models import load_data_to_gpu
def train_detect... | 15,815 | 40.952255 | 167 | py |
3DTrans | 3DTrans-master/tools/train_utils/active_with_st3d_utils.py | import glob
import os
import torch
import tqdm
import time
from torch.nn.utils import clip_grad_norm_
from pcdet.utils import common_utils, commu_utils
from pcdet.utils import active_learning_utils, self_training_utils
from pcdet.datasets import build_dataloader_ada
from pcdet.models import load_data_to_gpu
def tra... | 32,330 | 41.318063 | 167 | py |
3DTrans | 3DTrans-master/tools/train_utils/train_semi_utils.py | import glob
import os
import math
import torch
import tqdm
from torch.nn.utils import clip_grad_norm_
def train_one_epoch(model, optimizer, train_loader, model_func, lr_scheduler, accumulated_iter, cur_epoch, optim_cfg,
rank, tbar, total_it_each_epoch, dataloader_iter, tb_log=None, leave_pbar=False... | 6,704 | 37.757225 | 117 | py |
3DTrans | 3DTrans-master/tools/train_utils/train_active_utils.py | from dis import dis
import glob
import os
import pickle
import torch
import tqdm
import time
from torch.nn.utils import clip_grad_norm_
from pcdet.utils import common_utils, commu_utils, self_training_utils
from pcdet.models import load_data_to_gpu
from pcdet.datasets import build_dataloader, build_dataloader_ada
from... | 37,649 | 41.067039 | 167 | py |
3DTrans | 3DTrans-master/tools/train_utils/train_pseudo_label_utils.py | import glob
import os
import torch
import tqdm
import time
from torch.nn.utils import clip_grad_norm_
from pcdet.utils import common_utils, commu_utils
from pcdet.utils import self_training_utils
def train_detector(model, model_func, optimizer, lr_scheduler, labeled_loader, unlabeled_loader, labeled_loader_iter,
... | 8,615 | 40.423077 | 151 | py |
3DTrans | 3DTrans-master/tools/train_utils/train_multi_db_utils_3cls.py | import glob
import os
import torch
import tqdm
import time
import math
import copy
from torch.nn.utils import clip_grad_norm_
from pcdet.utils import common_utils, commu_utils
from pcdet.utils import self_training_utils
from pcdet.config import cfg
def train_one_epoch(model, optimizer, train_loader_1, train_loader_2... | 8,627 | 39.317757 | 163 | py |
3DTrans | 3DTrans-master/tools/train_utils/train_multi_db_loss_merge.py | import torch
import os
import glob
import tqdm
from torch.nn.utils import clip_grad_norm_
def visualize_boxes_batch(batch):
import visualize_utils as vis
import mayavi.mlab as mlab
for b_idx in range(batch['batch_size']):
points = batch['points'][batch['points'][:, 0] == b_idx][:, 1:]
if ... | 8,641 | 40.152381 | 133 | py |
3DTrans | 3DTrans-master/tools/train_utils/train_multi_db_utils.py | import glob
import os
import torch
import tqdm
import time
import math
import copy
from torch.nn.utils import clip_grad_norm_
from pcdet.utils import common_utils, commu_utils
from pcdet.utils import self_training_utils
from pcdet.config import cfg
def train_one_epoch(model, optimizer, train_loader_1, train_loader_2... | 10,562 | 43.758475 | 163 | py |
3DTrans | 3DTrans-master/tools/train_utils/train_active_TQS.py | import glob
import os
import pickle
from symbol import parameters
import torch
import tqdm
import time
from torch.nn.utils import clip_grad_norm_
from pcdet.utils import common_utils, commu_utils, self_training_utils
from pcdet.models import load_data_to_gpu
from pcdet.datasets import build_dataloader, build_dataloade... | 23,288 | 39.362218 | 170 | py |
3DTrans | 3DTrans-master/tools/train_utils/train_random_utils.py | import glob
import os
import torch
import tqdm
import time
from torch.nn.utils import clip_grad_norm_
from pcdet.utils import common_utils, commu_utils, active_learning_utils
def train_one_epoch(model, optimizer, train_source_loader, train_target_loader, model_func, lr_scheduler, accumulated_iter, optim_cfg,
... | 15,415 | 42.548023 | 134 | py |
3DTrans | 3DTrans-master/tools/train_utils/optimization/fastai_optim.py | # This file is modified from https://github.com/traveller59/second.pytorch
try:
from collections.abc import Iterable
except:
from collections import Iterable
import torch
from torch import nn
from torch._utils import _unflatten_dense_tensors
from torch.nn.utils import parameters_to_vector
bn_types = (nn.Batc... | 10,535 | 38.758491 | 117 | py |
3DTrans | 3DTrans-master/tools/train_utils/optimization/learning_schedules_fastai.py | # This file is modified from https://github.com/traveller59/second.pytorch
import math
from functools import partial
import numpy as np
import torch.optim.lr_scheduler as lr_sched
from .fastai_optim import OptimWrapper
class LRSchedulerStep(object):
def __init__(self, fai_optimizer: OptimWrapper, total_step, l... | 4,169 | 35.26087 | 118 | py |
3DTrans | 3DTrans-master/tools/train_utils/optimization/__init__.py | from functools import partial
import torch.nn as nn
import torch.optim as optim
import torch.optim.lr_scheduler as lr_sched
from .fastai_optim import OptimWrapper
from .learning_schedules_fastai import CosineWarmupLR, OneCycle
def build_optimizer(model, optim_cfg):
if optim_cfg.OPTIMIZER == 'adam':
opti... | 2,401 | 36.53125 | 113 | py |
3DTrans | 3DTrans-master/tools/visual_utils/open3d_vis_utils.py | """
Open3d visualization tool box
Written by Jihan YANG
All rights preserved from 2021 - present.
"""
import open3d
import torch
import matplotlib
import numpy as np
box_colormap = [
[1, 1, 1],
[0, 1, 0],
[0, 1, 1],
[1, 1, 0],
]
def get_coor_colors(obj_labels):
"""
Args:
obj_labels: 1... | 3,413 | 28.179487 | 126 | py |
3DTrans | 3DTrans-master/tools/visual_utils/visualize_utils.py | import mayavi.mlab as mlab
import numpy as np
import torch
box_colormap = [
[1, 1, 1],
[0, 1, 0],
[0, 1, 1],
[1, 1, 0],
]
def check_numpy_to_torch(x):
if isinstance(x, np.ndarray):
return torch.from_numpy(x).float(), True
return x, False
def rotate_points_along_z(points, angle):
... | 8,540 | 38.541667 | 121 | py |
3DTrans | 3DTrans-master/pcdet/models/__init__.py | from collections import namedtuple
import numpy as np
import torch
from .detectors import build_detector, build_detector_multi_db, build_detector_multi_db_3
try:
import kornia
except:
pass
# print('Warning: kornia is not installed. This package is only required by CaDDN')
def build_network(model_cfg, n... | 2,525 | 33.135135 | 139 | py |
3DTrans | 3DTrans-master/pcdet/models/mdf_models/dense_2d_moe_add_wo_SE.py | import copy
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from pcdet.utils import common_utils
def conv3x3(in_planes, out_planes, stride=1, groups=1, dilation=1):
"""3x3 convolution with padding"""
return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride,
... | 8,239 | 39 | 121 | py |
3DTrans | 3DTrans-master/pcdet/models/mdf_models/dense_2d_moe_add_wo_attention.py | import copy
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from pcdet.utils import common_utils
def conv3x3(in_planes, out_planes, stride=1, groups=1, dilation=1):
"""3x3 convolution with padding"""
return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride,
... | 7,968 | 38.450495 | 121 | py |
3DTrans | 3DTrans-master/pcdet/models/mdf_models/dense_3d_cr.py | import copy
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from pcdet.utils import common_utils
def conv3x3(in_planes, out_planes, stride=1, groups=1, dilation=1):
"""3x3 convolution with padding"""
return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride,
... | 7,057 | 38.430168 | 121 | py |
3DTrans | 3DTrans-master/pcdet/models/mdf_models/dense_cr.py | import copy
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from pcdet.utils import common_utils
def conv3x3(in_planes, out_planes, stride=1, groups=1, dilation=1):
"""3x3 convolution with padding"""
return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride,
... | 16,634 | 40.175743 | 121 | py |
3DTrans | 3DTrans-master/pcdet/models/detectors/detector3d_template_IASSD.py | import os
import torch
import torch.nn as nn
from ...ops.iou3d_nms import iou3d_nms_utils
from ...utils.spconv_utils import find_all_spconv_keys
from .. import backbones_2d, backbones_3d, dense_heads, roi_heads
from ..backbones_2d import map_to_bev
from ..backbones_3d import pfe, vfe
from ..model_utils import model_n... | 19,155 | 45.382567 | 119 | py |
3DTrans | 3DTrans-master/pcdet/models/detectors/detector3d_template.py | import os
import torch
import torch.nn as nn
from ...ops.iou3d_nms import iou3d_nms_utils
from ...utils.spconv_utils import find_all_spconv_keys
from .. import backbones_2d, backbones_3d, dense_heads, roi_heads
from ..backbones_2d import map_to_bev
from ..backbones_3d import pfe, vfe
from ..model_utils import model_n... | 19,470 | 45.030733 | 119 | py |
3DTrans | 3DTrans-master/pcdet/models/detectors/detector3d_template_ada.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
from ...ops.iou3d_nms import iou3d_nms_utils
from ...utils.spconv_utils import find_all_spconv_keys
from .. import backbones_2d, backbones_3d, dense_heads, roi_heads, active_models
from ..backbones_2d import map_to_bev
from ..backbones_3d im... | 23,013 | 47.348739 | 138 | py |
3DTrans | 3DTrans-master/pcdet/models/detectors/detector3d_template_multi_db.py | import os
import torch
import torch.nn as nn
from ...ops.iou3d_nms import iou3d_nms_utils
from ...utils.spconv_utils import find_all_spconv_keys
from .. import backbones_2d, backbones_3d, dense_heads, roi_heads, mdf_models
from ..backbones_2d import map_to_bev
from ..backbones_3d import pfe, vfe
from ..model_utils im... | 23,645 | 45.455796 | 119 | py |
3DTrans | 3DTrans-master/pcdet/models/detectors/pv_rcnn.py | import torch
from .detector3d_template import Detector3DTemplate
from .detector3d_template_multi_db import Detector3DTemplate_M_DB
from .detector3d_template_multi_db_3 import Detector3DTemplate_M_DB_3
from .detector3d_template_ada import ActiveDetector3DTemplate
from pcdet.utils import common_utils
class PVRCNN(Detect... | 23,337 | 43.880769 | 138 | py |
3DTrans | 3DTrans-master/pcdet/models/detectors/detector3d_template_multi_db_3.py | import os
import torch
import torch.nn as nn
from ...ops.iou3d_nms import iou3d_nms_utils
from ...utils.spconv_utils import find_all_spconv_keys
from .. import backbones_2d, backbones_3d, dense_heads, roi_heads, mdf_models
from ..backbones_2d import map_to_bev
from ..backbones_3d import pfe, vfe
from ..model_utils im... | 26,507 | 45.916814 | 133 | py |
3DTrans | 3DTrans-master/pcdet/models/detectors/second_net_iou.py | import torch
from .detector3d_template import Detector3DTemplate
from .detector3d_template_ada import ActiveDetector3DTemplate
from ..model_utils.model_nms_utils import class_agnostic_nms, class_agnostic_nms_with_roi
from ...ops.roiaware_pool3d import roiaware_pool3d_utils
import torch.nn.functional as F
class SECOND... | 17,487 | 43.161616 | 127 | py |
3DTrans | 3DTrans-master/pcdet/models/detectors/semi_second.py | import torch
from .detector3d_template import Detector3DTemplate
from ..model_utils.model_nms_utils import class_agnostic_nms
class SemiSECOND(Detector3DTemplate):
def __init__(self, model_cfg, num_class, dataset):
super().__init__(model_cfg=model_cfg, num_class=num_class, dataset=dataset)
self.mod... | 8,060 | 37.385714 | 112 | py |
3DTrans | 3DTrans-master/pcdet/models/detectors/unsupervised_model/pvrcnn_plus_backbone.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from ..detector3d_template import Detector3DTemplate
from ....ops.pointnet2.pointnet2_stack import pointnet2_modules as pointnet2_stack_modules
from ....ops.pointnet2.pointnet2_stack import pointnet2_utils as pointnet2_stack_utils
fr... | 26,396 | 45.555556 | 152 | py |
3DTrans | 3DTrans-master/pcdet/models/backbones_3d/IASSD_backbone.py | import torch
import torch.nn as nn
from ...ops.pointnet2.pointnet2_batch import pointnet2_modules
import os
class IASSD_Backbone(nn.Module):
""" Backbone for IA-SSD"""
def __init__(self, model_cfg, num_class, input_channels, **kwargs):
super().__init__()
self.model_cfg = model_cfg
sel... | 8,693 | 45.491979 | 150 | py |
3DTrans | 3DTrans-master/pcdet/models/backbones_3d/spconv_unet.py | from functools import partial
import torch
import torch.nn as nn
from ...utils.spconv_utils import replace_feature, spconv
from ...utils import common_utils
from .spconv_backbone import post_act_block
class SparseBasicBlock(spconv.SparseModule):
expansion = 1
def __init__(self, inplanes, planes, stride=1, ... | 8,602 | 39.389671 | 117 | py |
3DTrans | 3DTrans-master/pcdet/models/backbones_3d/spconv_backbone_unibn.py | from functools import partial
import torch.nn as nn
from ...utils.spconv_utils import replace_feature, spconv
from ...utils import uni3d_norm_2_in
def post_act_block(in_channels, out_channels, kernel_size, indice_key=None, stride=1, padding=0,
conv_type='subm'):
if conv_type == 'subm':
... | 14,619 | 37.072917 | 144 | py |
3DTrans | 3DTrans-master/pcdet/models/backbones_3d/spconv_backbone.py | from functools import partial
import torch.nn as nn
from ...utils.spconv_utils import replace_feature, spconv
def post_act_block(in_channels, out_channels, kernel_size, indice_key=None, stride=1, padding=0,
conv_type='subm', norm_fn=None):
if conv_type == 'subm':
conv = spconv.SubMCo... | 20,640 | 37.581308 | 152 | py |
3DTrans | 3DTrans-master/pcdet/models/backbones_3d/pointnet2_backbone.py | import torch
import torch.nn as nn
from ...ops.pointnet2.pointnet2_batch import pointnet2_modules
from ...ops.pointnet2.pointnet2_stack import pointnet2_modules as pointnet2_modules_stack
from ...ops.pointnet2.pointnet2_stack import pointnet2_utils as pointnet2_utils_stack
class PointNet2MSG(nn.Module):
def __in... | 8,540 | 40.26087 | 132 | py |
3DTrans | 3DTrans-master/pcdet/models/backbones_3d/pfe/unet_scn.py | from functools import partial
import torch
import torch.nn as nn
from pcdet.utils.spconv_utils import replace_feature, spconv
from pcdet.utils import common_utils
from pcdet.models.backbones_3d.spconv_backbone import post_act_block
class SparseBasicBlock(spconv.SparseModule):
expansion = 1
def __init__(sel... | 8,709 | 39.138249 | 117 | py |
3DTrans | 3DTrans-master/pcdet/models/backbones_3d/pfe/point_t_trans.py | import copy
import numpy as np
import torch
import torch.nn as nn
from ....utils import uni3d_norm_2_in
class POINT_T(nn.Module):
def __init__(self, model_cfg, **kwargs):
super().__init__()
self.model_cfg = model_cfg
# using the domain-specific norm
self.scale_bn =... | 1,448 | 33.5 | 89 | py |
3DTrans | 3DTrans-master/pcdet/models/backbones_3d/pfe/voxel_set_abstraction.py | import math
import numpy as np
import torch
import torch.nn as nn
from ....ops.pointnet2.pointnet2_stack import pointnet2_modules as pointnet2_stack_modules
from ....ops.pointnet2.pointnet2_stack import pointnet2_utils as pointnet2_stack_utils
from ....utils import common_utils
from ....utils import uni3d_norm
def b... | 18,045 | 39.920635 | 130 | py |
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