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fcos3d_scratch_nus.txt
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2021-08-10 03:04:40,700 - mmdet - INFO - Environment info:
------------------------------------------------------------
sys.platform: linux
Python: 3.7.7 (default, May 7 2020, 21:25:33) [GCC 7.3.0]
CUDA available: True
GPU 0,1,2,3,4,5,6,7: Tesla V100-SXM2-32GB
CUDA_HOME: /usr/local/cuda
NVCC: Cuda compilation tools, release 10.1, V10.1.243
GCC: gcc (Ubuntu 7.4.0-1ubuntu1~18.04.1) 7.4.0
PyTorch: 1.6.0
PyTorch compiling details: PyTorch built with:
- GCC 7.3
- C++ Version: 201402
- Intel(R) Math Kernel Library Version 2020.0.1 Product Build 20200208 for Intel(R) 64 architecture applications
- Intel(R) MKL-DNN v1.5.0 (Git Hash e2ac1fac44c5078ca927cb9b90e1b3066a0b2ed0)
- OpenMP 201511 (a.k.a. OpenMP 4.5)
- NNPACK is enabled
- CPU capability usage: AVX2
- CUDA Runtime 10.1
- NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_37,code=compute_37
- CuDNN 7.6.3
- Magma 2.5.2
- Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_VULKAN_WRAPPER -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_STATIC_DISPATCH=OFF,
TorchVision: 0.7.0
OpenCV: 4.5.2
MMCV: 1.3.4
MMCV Compiler: GCC 7.3
MMCV CUDA Compiler: 10.1
MMDetection: 2.11.0
MMSegmentation: 0.13.0
MMDetection3D: 0.13.0+b15fc06
------------------------------------------------------------
2021-08-10 03:04:41,632 - mmdet - INFO - Distributed training: True
2021-08-10 03:04:42,423 - mmdet - INFO - Config:
dataset_type = 'NuScenesMonoDataset'
data_root = '/nfs/share_data/nuscenes/'
class_names = [
'car', 'truck', 'trailer', 'bus', 'construction_vehicle', 'bicycle',
'motorcycle', 'pedestrian', 'traffic_cone', 'barrier'
]
input_modality = dict(
use_lidar=False,
use_camera=True,
use_radar=False,
use_map=False,
use_external=False)
img_norm_cfg = dict(
mean=[103.53, 116.28, 123.675], std=[1.0, 1.0, 1.0], to_rgb=False)
train_pipeline = [
dict(type='LoadImageFromFileMono3D'),
dict(
type='LoadAnnotations3D',
with_bbox=True,
with_label=True,
with_attr_label=True,
with_bbox_3d=True,
with_label_3d=True,
with_bbox_depth=True),
dict(type='Resize', img_scale=(1600, 900), keep_ratio=True),
dict(type='RandomFlip3D', flip_ratio_bev_horizontal=0.5),
dict(
type='Normalize',
mean=[103.53, 116.28, 123.675],
std=[1.0, 1.0, 1.0],
to_rgb=False),
dict(type='Pad', size_divisor=32),
dict(
type='DefaultFormatBundle3D',
class_names=[
'car', 'truck', 'trailer', 'bus', 'construction_vehicle',
'bicycle', 'motorcycle', 'pedestrian', 'traffic_cone', 'barrier'
]),
dict(
type='Collect3D',
keys=[
'img', 'gt_bboxes', 'gt_labels', 'attr_labels', 'gt_bboxes_3d',
'gt_labels_3d', 'centers2d', 'depths'
])
]
test_pipeline = [
dict(type='LoadImageFromFileMono3D'),
dict(
type='MultiScaleFlipAug',
scale_factor=1.0,
flip=False,
transforms=[
dict(type='RandomFlip3D'),
dict(
type='Normalize',
mean=[103.53, 116.28, 123.675],
std=[1.0, 1.0, 1.0],
to_rgb=False),
dict(type='Pad', size_divisor=32),
dict(
type='DefaultFormatBundle3D',
class_names=[
'car', 'truck', 'trailer', 'bus', 'construction_vehicle',
'bicycle', 'motorcycle', 'pedestrian', 'traffic_cone',
'barrier'
],
with_label=False),
dict(type='Collect3D', keys=['img'])
])
]
data = dict(
samples_per_gpu=8,
workers_per_gpu=8,
train=dict(
type='NuScenesMonoDataset',
data_root='/nfs/share_data/nuscenes/',
ann_file=
'/nfs/share_data/nuscenes/nuscenes_infos_train_mono3d.coco.json',
img_prefix='/nfs/share_data/nuscenes/',
classes=[
'car', 'truck', 'trailer', 'bus', 'construction_vehicle',
'bicycle', 'motorcycle', 'pedestrian', 'traffic_cone', 'barrier'
],
pipeline=[
dict(type='LoadImageFromFileMono3D'),
dict(
type='LoadAnnotations3D',
with_bbox=True,
with_label=True,
with_attr_label=True,
with_bbox_3d=True,
with_label_3d=True,
with_bbox_depth=True),
dict(type='Resize', img_scale=(1600, 900), keep_ratio=True),
dict(type='RandomFlip3D', flip_ratio_bev_horizontal=0.5),
dict(
type='Normalize',
mean=[103.53, 116.28, 123.675],
std=[1.0, 1.0, 1.0],
to_rgb=False),
dict(type='Pad', size_divisor=32),
dict(
type='DefaultFormatBundle3D',
class_names=[
'car', 'truck', 'trailer', 'bus', 'construction_vehicle',
'bicycle', 'motorcycle', 'pedestrian', 'traffic_cone',
'barrier'
]),
dict(
type='Collect3D',
keys=[
'img', 'gt_bboxes', 'gt_labels', 'attr_labels',
'gt_bboxes_3d', 'gt_labels_3d', 'centers2d', 'depths'
])
],
modality=dict(
use_lidar=False,
use_camera=True,
use_radar=False,
use_map=False,
use_external=False),
test_mode=False,
box_type_3d='Camera'),
val=dict(
type='NuScenesMonoDataset',
data_root='/nfs/share_data/nuscenes/',
ann_file='/nfs/share_data/nuscenes/nuscenes_infos_val_mono3d.coco.json',
img_prefix='/nfs/share_data/nuscenes/',
classes=[
'car', 'truck', 'trailer', 'bus', 'construction_vehicle',
'bicycle', 'motorcycle', 'pedestrian', 'traffic_cone', 'barrier'
],
pipeline=[
dict(type='LoadImageFromFileMono3D'),
dict(
type='MultiScaleFlipAug',
scale_factor=1.0,
flip=False,
transforms=[
dict(type='RandomFlip3D'),
dict(
type='Normalize',
mean=[103.53, 116.28, 123.675],
std=[1.0, 1.0, 1.0],
to_rgb=False),
dict(type='Pad', size_divisor=32),
dict(
type='DefaultFormatBundle3D',
class_names=[
'car', 'truck', 'trailer', 'bus',
'construction_vehicle', 'bicycle', 'motorcycle',
'pedestrian', 'traffic_cone', 'barrier'
],
with_label=False),
dict(type='Collect3D', keys=['img'])
])
],
modality=dict(
use_lidar=False,
use_camera=True,
use_radar=False,
use_map=False,
use_external=False),
test_mode=True,
box_type_3d='Camera'),
test=dict(
type='NuScenesMonoDataset',
data_root='/nfs/share_data/nuscenes/',
ann_file='/nfs/share_data/nuscenes/nuscenes_infos_val_mono3d.coco.json',
img_prefix='/nfs/share_data/nuscenes/',
classes=[
'car', 'truck', 'trailer', 'bus', 'construction_vehicle',
'bicycle', 'motorcycle', 'pedestrian', 'traffic_cone', 'barrier'
],
pipeline=[
dict(type='LoadImageFromFileMono3D'),
dict(
type='MultiScaleFlipAug',
scale_factor=1.0,
flip=False,
transforms=[
dict(type='RandomFlip3D'),
dict(
type='Normalize',
mean=[103.53, 116.28, 123.675],
std=[1.0, 1.0, 1.0],
to_rgb=False),
dict(type='Pad', size_divisor=32),
dict(
type='DefaultFormatBundle3D',
class_names=[
'car', 'truck', 'trailer', 'bus',
'construction_vehicle', 'bicycle', 'motorcycle',
'pedestrian', 'traffic_cone', 'barrier'
],
with_label=False),
dict(type='Collect3D', keys=['img'])
])
],
modality=dict(
use_lidar=False,
use_camera=True,
use_radar=False,
use_map=False,
use_external=False),
test_mode=True,
box_type_3d='Camera'))
evaluation = dict(start=10, interval=2)
model = dict(
type='FCOSMono3D',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=-1,
norm_cfg=dict(type='SyncBN', requires_grad=True),
norm_eval=False,
style='pytorch',
dcn=dict(type='DCNv2', deform_groups=1, fallback_on_stride=False),
stage_with_dcn=(False, False, True, True)),
neck=dict(
type='FPN',
in_channels=[256, 512, 1024, 2048],
out_channels=256,
start_level=1,
add_extra_convs=True,
extra_convs_on_inputs=False,
num_outs=5,
relu_before_extra_convs=True),
bbox_head=dict(
type='FCOSMono3DHead',
num_classes=10,
in_channels=256,
stacked_convs=2,
feat_channels=256,
use_direction_classifier=True,
diff_rad_by_sin=True,
pred_attrs=True,
pred_velo=True,
dir_offset=0.7854,
strides=[8, 16, 32, 64, 128],
group_reg_dims=(2, 1, 3, 1, 2),
cls_branch=(256, ),
reg_branch=((256, ), (256, ), (256, ), (256, ), ()),
dir_branch=(256, ),
attr_branch=(256, ),
loss_cls=dict(
type='FocalLoss',
use_sigmoid=True,
gamma=2.0,
alpha=0.25,
loss_weight=1.0),
loss_bbox=dict(
type='SmoothL1Loss', beta=0.1111111111111111, loss_weight=1.0),
loss_dir=dict(
type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0),
loss_attr=dict(
type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0),
loss_centerness=dict(
type='CrossEntropyLoss', use_sigmoid=True, loss_weight=1.0),
norm_on_bbox=True,
centerness_on_reg=True,
center_sampling=True,
conv_bias=True,
dcn_on_last_conv=True),
train_cfg=dict(
allowed_border=0,
code_weight=[1.0, 1.0, 0.2, 1.0, 1.0, 1.0, 1.0, 0.05, 0.05],
pos_weight=-1,
debug=False),
test_cfg=dict(
use_rotate_nms=True,
nms_across_levels=False,
nms_pre=1000,
nms_thr=0.8,
score_thr=0.05,
min_bbox_size=0,
max_per_img=200))
optimizer = dict(
type='SGD',
lr=0.008,
momentum=0.9,
weight_decay=0.0001,
paramwise_cfg=dict(bias_lr_mult=2.0, bias_decay_mult=0.0))
optimizer_config = dict(grad_clip=dict(max_norm=35, norm_type=2))
lr_config = dict(
policy='step',
warmup='linear',
warmup_iters=500,
warmup_ratio=0.3333333333333333,
step=[8, 11])
runner = dict(type='EpochBasedRunner', max_epochs=12)
checkpoint_config = dict(interval=1)
log_config = dict(
interval=50,
hooks=[dict(type='TextLoggerHook'),
dict(type='TensorboardLoggerHook')])
dist_params = dict(backend='nccl')
log_level = 'INFO'
work_dir = 'nfs/lzy/fcos3d/dcn_scratch'
load_from = None
resume_from = None
workflow = [('train', 1)]
total_epochs = 12
gpu_ids = range(0, 8)
2021-08-10 03:04:42,423 - mmdet - INFO - Set random seed to 0, deterministic: False
2021-08-10 03:04:42,971 - mmdet - INFO - Model:
FCOSMono3D(
(backbone): ResNet(
(conv1): Conv2d(3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False)
(bn1): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
(maxpool): MaxPool2d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False)
(layer1): ResLayer(
(0): Bottleneck(
(conv1): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn1): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
(bn2): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn3): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
(downsample): Sequential(
(0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
(1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
)
(1): Bottleneck(
(conv1): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn1): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
(bn2): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn3): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
)
(2): Bottleneck(
(conv1): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn1): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
(bn2): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn3): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
)
)
(layer2): ResLayer(
(0): Bottleneck(
(conv1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn1): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)
(bn2): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn3): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
(downsample): Sequential(
(0): Conv2d(256, 512, kernel_size=(1, 1), stride=(2, 2), bias=False)
(1): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
)
(1): Bottleneck(
(conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn1): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
(bn2): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn3): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
)
(2): Bottleneck(
(conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn1): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
(bn2): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn3): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
)
(3): Bottleneck(
(conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn1): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
(bn2): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn3): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
)
)
(layer3): ResLayer(
(0): Bottleneck(
(conv1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): ModulatedDeformConv2dPack(
(conv_offset): Conv2d(256, 27, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1))
)
(bn2): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn3): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
(downsample): Sequential(
(0): Conv2d(512, 1024, kernel_size=(1, 1), stride=(2, 2), bias=False)
(1): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
)
(1): Bottleneck(
(conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): ModulatedDeformConv2dPack(
(conv_offset): Conv2d(256, 27, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
(bn2): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn3): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
)
(2): Bottleneck(
(conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): ModulatedDeformConv2dPack(
(conv_offset): Conv2d(256, 27, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
(bn2): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn3): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
)
(3): Bottleneck(
(conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): ModulatedDeformConv2dPack(
(conv_offset): Conv2d(256, 27, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
(bn2): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn3): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
)
(4): Bottleneck(
(conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): ModulatedDeformConv2dPack(
(conv_offset): Conv2d(256, 27, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
(bn2): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn3): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
)
(5): Bottleneck(
(conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): ModulatedDeformConv2dPack(
(conv_offset): Conv2d(256, 27, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
(bn2): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn3): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
)
)
(layer4): ResLayer(
(0): Bottleneck(
(conv1): Conv2d(1024, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn1): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): ModulatedDeformConv2dPack(
(conv_offset): Conv2d(512, 27, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1))
)
(bn2): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn3): SyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
(downsample): Sequential(
(0): Conv2d(1024, 2048, kernel_size=(1, 1), stride=(2, 2), bias=False)
(1): SyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
)
(1): Bottleneck(
(conv1): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn1): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): ModulatedDeformConv2dPack(
(conv_offset): Conv2d(512, 27, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
(bn2): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn3): SyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
)
(2): Bottleneck(
(conv1): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn1): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): ModulatedDeformConv2dPack(
(conv_offset): Conv2d(512, 27, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
(bn2): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn3): SyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
)
)
)
(neck): FPN(
(lateral_convs): ModuleList(
(0): ConvModule(
(conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1))
)
(1): ConvModule(
(conv): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1))
)
(2): ConvModule(
(conv): Conv2d(2048, 256, kernel_size=(1, 1), stride=(1, 1))
)
)
(fpn_convs): ModuleList(
(0): ConvModule(
(conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
(1): ConvModule(
(conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
(2): ConvModule(
(conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
(3): ConvModule(
(conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1))
)
(4): ConvModule(
(conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1))
)
)
)
(bbox_head): FCOSMono3DHead(
(loss_cls): FocalLoss()
(loss_bbox): SmoothL1Loss()
(loss_dir): CrossEntropyLoss()
(loss_attr): CrossEntropyLoss()
(cls_convs): ModuleList(
(0): ConvModule(
(conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(gn): GroupNorm(32, 256, eps=1e-05, affine=True)
(activate): ReLU(inplace=True)
)
(1): ConvModule(
(conv): ModulatedDeformConv2dPack(
(conv_offset): Conv2d(256, 27, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
(gn): GroupNorm(32, 256, eps=1e-05, affine=True)
(activate): ReLU(inplace=True)
)
)
(reg_convs): ModuleList(
(0): ConvModule(
(conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(gn): GroupNorm(32, 256, eps=1e-05, affine=True)
(activate): ReLU(inplace=True)
)
(1): ConvModule(
(conv): ModulatedDeformConv2dPack(
(conv_offset): Conv2d(256, 27, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
(gn): GroupNorm(32, 256, eps=1e-05, affine=True)
(activate): ReLU(inplace=True)
)
)
(conv_cls_prev): ModuleList(
(0): ConvModule(
(conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(gn): GroupNorm(32, 256, eps=1e-05, affine=True)
(activate): ReLU(inplace=True)
)
)
(conv_cls): Conv2d(256, 10, kernel_size=(1, 1), stride=(1, 1))
(conv_reg_prevs): ModuleList(
(0): ModuleList(
(0): ConvModule(
(conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(gn): GroupNorm(32, 256, eps=1e-05, affine=True)
(activate): ReLU(inplace=True)
)
)
(1): ModuleList(
(0): ConvModule(
(conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(gn): GroupNorm(32, 256, eps=1e-05, affine=True)
(activate): ReLU(inplace=True)
)
)
(2): ModuleList(
(0): ConvModule(
(conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(gn): GroupNorm(32, 256, eps=1e-05, affine=True)
(activate): ReLU(inplace=True)
)
)
(3): ModuleList(
(0): ConvModule(
(conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(gn): GroupNorm(32, 256, eps=1e-05, affine=True)
(activate): ReLU(inplace=True)
)
)
(4): None
)
(conv_regs): ModuleList(
(0): Conv2d(256, 2, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(256, 1, kernel_size=(1, 1), stride=(1, 1))
(2): Conv2d(256, 3, kernel_size=(1, 1), stride=(1, 1))
(3): Conv2d(256, 1, kernel_size=(1, 1), stride=(1, 1))
(4): Conv2d(256, 2, kernel_size=(1, 1), stride=(1, 1))
)
(conv_dir_cls_prev): ModuleList(
(0): ConvModule(
(conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(gn): GroupNorm(32, 256, eps=1e-05, affine=True)
(activate): ReLU(inplace=True)
)
)
(conv_dir_cls): Conv2d(256, 2, kernel_size=(1, 1), stride=(1, 1))
(conv_attr_prev): ModuleList(
(0): ConvModule(
(conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(gn): GroupNorm(32, 256, eps=1e-05, affine=True)
(activate): ReLU(inplace=True)
)
)
(conv_attr): Conv2d(256, 9, kernel_size=(1, 1), stride=(1, 1))
(conv_centerness_prev): ModuleList(
(0): ConvModule(
(conv): Conv2d(256, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(gn): GroupNorm(32, 64, eps=1e-05, affine=True)
(activate): ReLU(inplace=True)
)
)
(conv_centerness): Conv2d(64, 1, kernel_size=(1, 1), stride=(1, 1))
(scales): ModuleList(
(0): ModuleList(
(0): Scale()
(1): Scale()
(2): Scale()
)
(1): ModuleList(
(0): Scale()
(1): Scale()
(2): Scale()
)
(2): ModuleList(
(0): Scale()
(1): Scale()
(2): Scale()
)
(3): ModuleList(
(0): Scale()
(1): Scale()
(2): Scale()
)
(4): ModuleList(
(0): Scale()
(1): Scale()
(2): Scale()
)
)
(loss_centerness): CrossEntropyLoss()
)
)
2021-08-10 03:05:32,038 - mmdet - INFO - Start running, host: root@dcn-scratch-master-0, work_dir: /nfs/lizhenyu1/workspace/python_workspace/mmdetection3d/nfs/lzy/fcos3d/dcn_scratch
2021-08-10 03:05:32,038 - mmdet - INFO - workflow: [('train', 1)], max: 12 epochs
2021-08-10 03:07:39,064 - mmdet - INFO - Epoch [1][50/2217] lr: 3.189e-03, eta: 18:43:34, time: 2.539, data_time: 0.157, memory: 28696, loss_cls: 0.8294, loss_offset: 1.4070, loss_depth: 3.8647, loss_size: 3.2020, loss_rotsin: 0.5630, loss_centerness: 0.6168, loss_velo: 0.0630, loss_dir: 0.6956, loss_attr: 1.6866, loss: 12.9281, grad_norm: 36.2425
2021-08-10 03:09:33,450 - mmdet - INFO - Epoch [1][100/2217] lr: 3.723e-03, eta: 17:45:58, time: 2.288, data_time: 0.060, memory: 28717, loss_cls: 0.6999, loss_offset: 1.3392, loss_depth: 2.4489, loss_size: 2.7272, loss_rotsin: 0.5375, loss_centerness: 0.6018, loss_velo: 0.0603, loss_dir: 0.6929, loss_attr: 1.4634, loss: 10.5711, grad_norm: 14.2721
2021-08-10 03:11:28,405 - mmdet - INFO - Epoch [1][150/2217] lr: 4.256e-03, eta: 17:27:13, time: 2.299, data_time: 0.059, memory: 28717, loss_cls: 0.6705, loss_offset: 1.2852, loss_depth: 2.1926, loss_size: 2.4831, loss_rotsin: 0.5251, loss_centerness: 0.6006, loss_velo: 0.0605, loss_dir: 0.6916, loss_attr: 1.4081, loss: 9.9172, grad_norm: 12.7437
2021-08-10 03:13:23,587 - mmdet - INFO - Epoch [1][200/2217] lr: 4.789e-03, eta: 17:17:21, time: 2.304, data_time: 0.060, memory: 28717, loss_cls: 0.6493, loss_offset: 1.2436, loss_depth: 2.2690, loss_size: 2.4065, loss_rotsin: 0.5275, loss_centerness: 0.6000, loss_velo: 0.0616, loss_dir: 0.6900, loss_attr: 1.3742, loss: 9.8217, grad_norm: 13.0263
2021-08-10 03:15:18,866 - mmdet - INFO - Epoch [1][250/2217] lr: 5.323e-03, eta: 17:10:50, time: 2.305, data_time: 0.061, memory: 28719, loss_cls: 0.6245, loss_offset: 1.2164, loss_depth: 2.3723, loss_size: 2.2826, loss_rotsin: 0.5239, loss_centerness: 0.5994, loss_velo: 0.0599, loss_dir: 0.6951, loss_attr: 1.3113, loss: 9.6853, grad_norm: 14.8243
2021-08-10 03:17:14,477 - mmdet - INFO - Epoch [1][300/2217] lr: 5.856e-03, eta: 17:06:21, time: 2.312, data_time: 0.060, memory: 28719, loss_cls: 0.5945, loss_offset: 1.1910, loss_depth: 2.4580, loss_size: 2.2453, loss_rotsin: 0.5210, loss_centerness: 0.5988, loss_velo: 0.0615, loss_dir: 0.6896, loss_attr: 1.2749, loss: 9.6344, grad_norm: 15.8413
2021-08-10 03:19:09,431 - mmdet - INFO - Epoch [1][350/2217] lr: 6.389e-03, eta: 17:01:46, time: 2.299, data_time: 0.059, memory: 28719, loss_cls: 0.5903, loss_offset: 1.1809, loss_depth: 2.5316, loss_size: 2.2239, loss_rotsin: 0.5204, loss_centerness: 0.5981, loss_velo: 0.0638, loss_dir: 0.6909, loss_attr: 1.2718, loss: 9.6717, grad_norm: 14.2976
2021-08-10 03:21:04,719 - mmdet - INFO - Epoch [1][400/2217] lr: 6.923e-03, eta: 16:58:13, time: 2.306, data_time: 0.060, memory: 28719, loss_cls: 0.5609, loss_offset: 1.1574, loss_depth: 2.4832, loss_size: 2.0576, loss_rotsin: 0.5208, loss_centerness: 0.5973, loss_velo: 0.0615, loss_dir: 0.6928, loss_attr: 1.1831, loss: 9.3145, grad_norm: 15.7736
2021-08-10 03:23:00,180 - mmdet - INFO - Epoch [1][450/2217] lr: 7.456e-03, eta: 16:55:12, time: 2.309, data_time: 0.057, memory: 28719, loss_cls: 0.5505, loss_offset: 1.1455, loss_depth: 2.5178, loss_size: 2.1045, loss_rotsin: 0.5264, loss_centerness: 0.5970, loss_velo: 0.0615, loss_dir: 0.6903, loss_attr: 1.1568, loss: 9.3504, grad_norm: 10.4787
2021-08-10 03:24:55,648 - mmdet - INFO - Epoch [1][500/2217] lr: 7.989e-03, eta: 16:52:24, time: 2.309, data_time: 0.060, memory: 28719, loss_cls: 0.5430, loss_offset: 1.1398, loss_depth: 2.5013, loss_size: 2.0251, loss_rotsin: 0.5224, loss_centerness: 0.5965, loss_velo: 0.0603, loss_dir: 0.6912, loss_attr: 1.1636, loss: 9.2431, grad_norm: 12.5631
2021-08-10 03:26:51,064 - mmdet - INFO - Epoch [1][550/2217] lr: 8.000e-03, eta: 16:49:44, time: 2.309, data_time: 0.063, memory: 28719, loss_cls: 0.5289, loss_offset: 1.1211, loss_depth: 2.1331, loss_size: 1.9447, loss_rotsin: 0.5200, loss_centerness: 0.5963, loss_velo: 0.0605, loss_dir: 0.6891, loss_attr: 1.1234, loss: 8.7171, grad_norm: 11.5197
2021-08-10 03:28:46,284 - mmdet - INFO - Epoch [1][600/2217] lr: 8.000e-03, eta: 16:47:02, time: 2.304, data_time: 0.060, memory: 28719, loss_cls: 0.5262, loss_offset: 1.1032, loss_depth: 2.2177, loss_size: 1.9189, loss_rotsin: 0.5116, loss_centerness: 0.5961, loss_velo: 0.0627, loss_dir: 0.6889, loss_attr: 1.1083, loss: 8.7336, grad_norm: 11.8113
2021-08-10 03:30:41,521 - mmdet - INFO - Epoch [1][650/2217] lr: 8.000e-03, eta: 16:44:28, time: 2.305, data_time: 0.054, memory: 28719, loss_cls: 0.5182, loss_offset: 1.0892, loss_depth: 2.0549, loss_size: 1.9455, loss_rotsin: 0.5153, loss_centerness: 0.5957, loss_velo: 0.0619, loss_dir: 0.6887, loss_attr: 1.0796, loss: 8.5489, grad_norm: 11.1525
2021-08-10 03:32:37,417 - mmdet - INFO - Epoch [1][700/2217] lr: 8.000e-03, eta: 16:42:24, time: 2.318, data_time: 0.061, memory: 28719, loss_cls: 0.5034, loss_offset: 1.0838, loss_depth: 2.2428, loss_size: 1.8804, loss_rotsin: 0.5206, loss_centerness: 0.5955, loss_velo: 0.0600, loss_dir: 0.6871, loss_attr: 1.0509, loss: 8.6245, grad_norm: 10.4771
2021-08-10 03:34:33,182 - mmdet - INFO - Epoch [1][750/2217] lr: 8.000e-03, eta: 16:40:17, time: 2.315, data_time: 0.061, memory: 28719, loss_cls: 0.5004, loss_offset: 1.0792, loss_depth: 1.8506, loss_size: 1.8089, loss_rotsin: 0.5104, loss_centerness: 0.5950, loss_velo: 0.0626, loss_dir: 0.6878, loss_attr: 1.0563, loss: 8.1511, grad_norm: 9.3049
2021-08-10 03:36:28,374 - mmdet - INFO - Epoch [1][800/2217] lr: 8.000e-03, eta: 16:37:52, time: 2.304, data_time: 0.062, memory: 28719, loss_cls: 0.4938, loss_offset: 1.0642, loss_depth: 1.7173, loss_size: 1.7940, loss_rotsin: 0.5144, loss_centerness: 0.5944, loss_velo: 0.0644, loss_dir: 0.6868, loss_attr: 1.0260, loss: 7.9552, grad_norm: 8.1587
2021-08-10 03:38:23,567 - mmdet - INFO - Epoch [1][850/2217] lr: 8.000e-03, eta: 16:35:32, time: 2.304, data_time: 0.058, memory: 28719, loss_cls: 0.4858, loss_offset: 1.0568, loss_depth: 1.6217, loss_size: 1.7630, loss_rotsin: 0.5125, loss_centerness: 0.5940, loss_velo: 0.0615, loss_dir: 0.6862, loss_attr: 0.9782, loss: 7.7598, grad_norm: 6.8659
2021-08-10 03:40:18,370 - mmdet - INFO - Epoch [1][900/2217] lr: 8.000e-03, eta: 16:33:02, time: 2.296, data_time: 0.060, memory: 28719, loss_cls: 0.4790, loss_offset: 1.0545, loss_depth: 1.6836, loss_size: 1.7159, loss_rotsin: 0.5122, loss_centerness: 0.5940, loss_velo: 0.0589, loss_dir: 0.6822, loss_attr: 0.9733, loss: 7.7535, grad_norm: 8.4707
2021-08-10 03:42:13,426 - mmdet - INFO - Epoch [1][950/2217] lr: 8.000e-03, eta: 16:30:43, time: 2.301, data_time: 0.057, memory: 28719, loss_cls: 0.4795, loss_offset: 1.0368, loss_depth: 1.6084, loss_size: 1.7213, loss_rotsin: 0.5044, loss_centerness: 0.5937, loss_velo: 0.0626, loss_dir: 0.6830, loss_attr: 0.9999, loss: 7.6898, grad_norm: 7.3512
2021-08-10 03:44:08,676 - mmdet - INFO - Exp name: fcos3d_r50.py
2021-08-10 03:44:08,677 - mmdet - INFO - Epoch [1][1000/2217] lr: 8.000e-03, eta: 16:28:32, time: 2.305, data_time: 0.060, memory: 28719, loss_cls: 0.4752, loss_offset: 1.0471, loss_depth: 1.6131, loss_size: 1.7378, loss_rotsin: 0.5105, loss_centerness: 0.5937, loss_velo: 0.0620, loss_dir: 0.6805, loss_attr: 0.9633, loss: 7.6830, grad_norm: 8.4055
2021-08-10 03:46:03,987 - mmdet - INFO - Epoch [1][1050/2217] lr: 8.000e-03, eta: 16:26:24, time: 2.306, data_time: 0.056, memory: 28719, loss_cls: 0.4666, loss_offset: 1.0304, loss_depth: 1.6134, loss_size: 1.7453, loss_rotsin: 0.5038, loss_centerness: 0.5939, loss_velo: 0.0625, loss_dir: 0.6803, loss_attr: 0.9364, loss: 7.6326, grad_norm: 8.4595
2021-08-10 03:47:58,879 - mmdet - INFO - Epoch [1][1100/2217] lr: 8.000e-03, eta: 16:24:07, time: 2.298, data_time: 0.059, memory: 28719, loss_cls: 0.4645, loss_offset: 1.0202, loss_depth: 1.6561, loss_size: 1.6766, loss_rotsin: 0.5001, loss_centerness: 0.5930, loss_velo: 0.0643, loss_dir: 0.6775, loss_attr: 0.9426, loss: 7.5949, grad_norm: 8.1702
2021-08-10 03:49:54,196 - mmdet - INFO - Epoch [1][1150/2217] lr: 8.000e-03, eta: 16:22:01, time: 2.306, data_time: 0.061, memory: 28719, loss_cls: 0.4613, loss_offset: 1.0241, loss_depth: 1.5447, loss_size: 1.6172, loss_rotsin: 0.5017, loss_centerness: 0.5931, loss_velo: 0.0627, loss_dir: 0.6771, loss_attr: 0.9389, loss: 7.4208, grad_norm: 7.4701
2021-08-10 03:51:49,263 - mmdet - INFO - Epoch [1][1200/2217] lr: 8.000e-03, eta: 16:19:51, time: 2.301, data_time: 0.058, memory: 28719, loss_cls: 0.4561, loss_offset: 1.0165, loss_depth: 1.6028, loss_size: 1.6380, loss_rotsin: 0.4992, loss_centerness: 0.5931, loss_velo: 0.0594, loss_dir: 0.6742, loss_attr: 0.9419, loss: 7.4813, grad_norm: 7.3760
2021-08-10 03:53:43,768 - mmdet - INFO - Epoch [1][1250/2217] lr: 8.000e-03, eta: 16:17:31, time: 2.290, data_time: 0.060, memory: 28719, loss_cls: 0.4483, loss_offset: 1.0072, loss_depth: 1.4902, loss_size: 1.5529, loss_rotsin: 0.5080, loss_centerness: 0.5925, loss_velo: 0.0590, loss_dir: 0.6769, loss_attr: 0.8989, loss: 7.2338, grad_norm: 6.8528
2021-08-10 03:55:38,325 - mmdet - INFO - Epoch [1][1300/2217] lr: 8.000e-03, eta: 16:15:14, time: 2.291, data_time: 0.057, memory: 28719, loss_cls: 0.4458, loss_offset: 1.0057, loss_depth: 1.5703, loss_size: 1.5858, loss_rotsin: 0.5039, loss_centerness: 0.5923, loss_velo: 0.0591, loss_dir: 0.6705, loss_attr: 0.8814, loss: 7.3147, grad_norm: 8.1539
2021-08-10 03:57:33,689 - mmdet - INFO - Epoch [1][1350/2217] lr: 8.000e-03, eta: 16:13:13, time: 2.307, data_time: 0.061, memory: 28719, loss_cls: 0.4506, loss_offset: 1.0089, loss_depth: 1.6457, loss_size: 1.6111, loss_rotsin: 0.4941, loss_centerness: 0.5920, loss_velo: 0.0630, loss_dir: 0.6695, loss_attr: 0.9297, loss: 7.4647, grad_norm: 7.9447
2021-08-10 03:59:29,356 - mmdet - INFO - Epoch [1][1400/2217] lr: 8.000e-03, eta: 16:11:19, time: 2.314, data_time: 0.066, memory: 28744, loss_cls: 0.4475, loss_offset: 1.0006, loss_depth: 1.4502, loss_size: 1.5673, loss_rotsin: 0.4947, loss_centerness: 0.5920, loss_velo: 0.0613, loss_dir: 0.6707, loss_attr: 0.9093, loss: 7.1936, grad_norm: 6.4040
2021-08-10 04:01:24,896 - mmdet - INFO - Epoch [1][1450/2217] lr: 8.000e-03, eta: 16:09:22, time: 2.311, data_time: 0.058, memory: 28744, loss_cls: 0.4353, loss_offset: 0.9893, loss_depth: 1.5162, loss_size: 1.5874, loss_rotsin: 0.4921, loss_centerness: 0.5915, loss_velo: 0.0620, loss_dir: 0.6709, loss_attr: 0.8611, loss: 7.2059, grad_norm: 7.4561
2021-08-10 04:03:21,041 - mmdet - INFO - Epoch [1][1500/2217] lr: 8.000e-03, eta: 16:07:35, time: 2.323, data_time: 0.060, memory: 28744, loss_cls: 0.4451, loss_offset: 0.9950, loss_depth: 1.5581, loss_size: 1.5882, loss_rotsin: 0.4969, loss_centerness: 0.5925, loss_velo: 0.0608, loss_dir: 0.6713, loss_attr: 0.8896, loss: 7.2975, grad_norm: 7.9685
2021-08-10 04:05:18,397 - mmdet - INFO - Epoch [1][1550/2217] lr: 8.000e-03, eta: 16:06:07, time: 2.347, data_time: 0.060, memory: 28744, loss_cls: 0.4361, loss_offset: 0.9826, loss_depth: 1.5489, loss_size: 1.5358, loss_rotsin: 0.4948, loss_centerness: 0.5915, loss_velo: 0.0604, loss_dir: 0.6701, loss_attr: 0.8604, loss: 7.1806, grad_norm: 7.6426
2021-08-10 04:07:14,590 - mmdet - INFO - Epoch [1][1600/2217] lr: 8.000e-03, eta: 16:04:20, time: 2.324, data_time: 0.062, memory: 28744, loss_cls: 0.4334, loss_offset: 0.9754, loss_depth: 1.4699, loss_size: 1.4984, loss_rotsin: 0.4876, loss_centerness: 0.5913, loss_velo: 0.0630, loss_dir: 0.6631, loss_attr: 0.8779, loss: 7.0601, grad_norm: 6.9294
2021-08-10 04:09:10,404 - mmdet - INFO - Epoch [1][1650/2217] lr: 8.000e-03, eta: 16:02:25, time: 2.316, data_time: 0.060, memory: 28744, loss_cls: 0.4358, loss_offset: 0.9764, loss_depth: 1.4640, loss_size: 1.5414, loss_rotsin: 0.4884, loss_centerness: 0.5909, loss_velo: 0.0646, loss_dir: 0.6626, loss_attr: 0.8751, loss: 7.0993, grad_norm: 6.5816
2021-08-10 04:11:05,555 - mmdet - INFO - Epoch [1][1700/2217] lr: 8.000e-03, eta: 16:00:22, time: 2.303, data_time: 0.054, memory: 28744, loss_cls: 0.4262, loss_offset: 0.9652, loss_depth: 1.4525, loss_size: 1.5148, loss_rotsin: 0.4803, loss_centerness: 0.5909, loss_velo: 0.0631, loss_dir: 0.6623, loss_attr: 0.8334, loss: 6.9888, grad_norm: 6.8784
2021-08-10 04:13:01,338 - mmdet - INFO - Epoch [1][1750/2217] lr: 8.000e-03, eta: 15:58:27, time: 2.315, data_time: 0.060, memory: 28744, loss_cls: 0.4277, loss_offset: 0.9642, loss_depth: 1.3943, loss_size: 1.4892, loss_rotsin: 0.4872, loss_centerness: 0.5909, loss_velo: 0.0587, loss_dir: 0.6622, loss_attr: 0.8431, loss: 6.9175, grad_norm: 6.5698
2021-08-10 04:14:56,954 - mmdet - INFO - Epoch [1][1800/2217] lr: 8.000e-03, eta: 15:56:31, time: 2.312, data_time: 0.059, memory: 28744, loss_cls: 0.4260, loss_offset: 0.9621, loss_depth: 1.3573, loss_size: 1.4630, loss_rotsin: 0.4822, loss_centerness: 0.5905, loss_velo: 0.0613, loss_dir: 0.6592, loss_attr: 0.8394, loss: 6.8411, grad_norm: 6.1822
2021-08-10 04:16:52,344 - mmdet - INFO - Epoch [1][1850/2217] lr: 8.000e-03, eta: 15:54:31, time: 2.308, data_time: 0.061, memory: 28744, loss_cls: 0.4220, loss_offset: 0.9575, loss_depth: 1.4413, loss_size: 1.4555, loss_rotsin: 0.4771, loss_centerness: 0.5902, loss_velo: 0.0646, loss_dir: 0.6569, loss_attr: 0.8253, loss: 6.8902, grad_norm: 7.0631
2021-08-10 04:18:48,155 - mmdet - INFO - Epoch [1][1900/2217] lr: 8.000e-03, eta: 15:52:37, time: 2.316, data_time: 0.061, memory: 28744, loss_cls: 0.4166, loss_offset: 0.9516, loss_depth: 1.4639, loss_size: 1.4795, loss_rotsin: 0.4876, loss_centerness: 0.5907, loss_velo: 0.0645, loss_dir: 0.6596, loss_attr: 0.8120, loss: 6.9261, grad_norm: 7.6378
2021-08-10 04:20:44,604 - mmdet - INFO - Epoch [1][1950/2217] lr: 8.000e-03, eta: 15:50:51, time: 2.329, data_time: 0.057, memory: 28744, loss_cls: 0.4189, loss_offset: 0.9586, loss_depth: 1.4099, loss_size: 1.5473, loss_rotsin: 0.4825, loss_centerness: 0.5907, loss_velo: 0.0619, loss_dir: 0.6546, loss_attr: 0.8135, loss: 6.9380, grad_norm: 6.9474
2021-08-10 04:22:39,877 - mmdet - INFO - Exp name: fcos3d_r50.py
2021-08-10 04:22:39,878 - mmdet - INFO - Epoch [1][2000/2217] lr: 8.000e-03, eta: 15:48:50, time: 2.305, data_time: 0.060, memory: 28744, loss_cls: 0.4175, loss_offset: 0.9442, loss_depth: 1.4075, loss_size: 1.4598, loss_rotsin: 0.4764, loss_centerness: 0.5900, loss_velo: 0.0637, loss_dir: 0.6492, loss_attr: 0.8299, loss: 6.8382, grad_norm: 6.7336
2021-08-10 04:24:35,351 - mmdet - INFO - Epoch [1][2050/2217] lr: 8.000e-03, eta: 15:46:52, time: 2.310, data_time: 0.059, memory: 28744, loss_cls: 0.4140, loss_offset: 0.9424, loss_depth: 1.3593, loss_size: 1.4328, loss_rotsin: 0.4770, loss_centerness: 0.5900, loss_velo: 0.0630, loss_dir: 0.6531, loss_attr: 0.8196, loss: 6.7513, grad_norm: 6.5652
2021-08-10 04:26:31,530 - mmdet - INFO - Epoch [1][2100/2217] lr: 8.000e-03, eta: 15:45:02, time: 2.324, data_time: 0.057, memory: 28744, loss_cls: 0.4179, loss_offset: 0.9446, loss_depth: 1.4178, loss_size: 1.4499, loss_rotsin: 0.4834, loss_centerness: 0.5896, loss_velo: 0.0590, loss_dir: 0.6571, loss_attr: 0.7916, loss: 6.8108, grad_norm: 7.4165
2021-08-10 04:28:28,502 - mmdet - INFO - Epoch [1][2150/2217] lr: 8.000e-03, eta: 15:43:20, time: 2.339, data_time: 0.057, memory: 28744, loss_cls: 0.4062, loss_offset: 0.9358, loss_depth: 1.4027, loss_size: 1.4122, loss_rotsin: 0.4701, loss_centerness: 0.5899, loss_velo: 0.0594, loss_dir: 0.6475, loss_attr: 0.7960, loss: 6.7199, grad_norm: 7.0895
2021-08-10 04:30:25,864 - mmdet - INFO - Epoch [1][2200/2217] lr: 8.000e-03, eta: 15:41:43, time: 2.347, data_time: 0.062, memory: 28744, loss_cls: 0.4118, loss_offset: 0.9334, loss_depth: 1.3711, loss_size: 1.3884, loss_rotsin: 0.4742, loss_centerness: 0.5898, loss_velo: 0.0642, loss_dir: 0.6514, loss_attr: 0.7970, loss: 6.6812, grad_norm: 6.5942
2021-08-10 04:31:06,255 - mmdet - INFO - Saving checkpoint at 1 epochs
2021-08-10 04:33:07,900 - mmdet - INFO - Epoch [2][50/2217] lr: 8.000e-03, eta: 15:32:53, time: 2.405, data_time: 0.183, memory: 28744, loss_cls: 0.4109, loss_offset: 0.9346, loss_depth: 1.4567, loss_size: 1.4142, loss_rotsin: 0.4713, loss_centerness: 0.5901, loss_velo: 0.0610, loss_dir: 0.6457, loss_attr: 0.7926, loss: 6.7771, grad_norm: 7.8291
2021-08-10 04:35:02,032 - mmdet - INFO - Epoch [2][100/2217] lr: 8.000e-03, eta: 15:30:49, time: 2.283, data_time: 0.054, memory: 28744, loss_cls: 0.4011, loss_offset: 0.9258, loss_depth: 1.3741, loss_size: 1.3855, loss_rotsin: 0.4690, loss_centerness: 0.5891, loss_velo: 0.0617, loss_dir: 0.6492, loss_attr: 0.7728, loss: 6.6284, grad_norm: 6.7541
2021-08-10 04:36:58,100 - mmdet - INFO - Epoch [2][150/2217] lr: 8.000e-03, eta: 15:29:05, time: 2.321, data_time: 0.054, memory: 28744, loss_cls: 0.4054, loss_offset: 0.9276, loss_depth: 1.3404, loss_size: 1.3378, loss_rotsin: 0.4683, loss_centerness: 0.5897, loss_velo: 0.0595, loss_dir: 0.6471, loss_attr: 0.7669, loss: 6.5426, grad_norm: 6.5489
2021-08-10 04:38:54,035 - mmdet - INFO - Epoch [2][200/2217] lr: 8.000e-03, eta: 15:27:20, time: 2.318, data_time: 0.051, memory: 28744, loss_cls: 0.4047, loss_offset: 0.9242, loss_depth: 1.4031, loss_size: 1.3913, loss_rotsin: 0.4574, loss_centerness: 0.5898, loss_velo: 0.0613, loss_dir: 0.6429, loss_attr: 0.7588, loss: 6.6335, grad_norm: 7.4785
2021-08-10 04:40:50,716 - mmdet - INFO - Epoch [2][250/2217] lr: 8.000e-03, eta: 15:25:41, time: 2.334, data_time: 0.052, memory: 28744, loss_cls: 0.4055, loss_offset: 0.9187, loss_depth: 1.3278, loss_size: 1.3935, loss_rotsin: 0.4602, loss_centerness: 0.5891, loss_velo: 0.0590, loss_dir: 0.6454, loss_attr: 0.7723, loss: 6.5714, grad_norm: 7.0450
2021-08-10 04:42:46,432 - mmdet - INFO - Epoch [2][300/2217] lr: 8.000e-03, eta: 15:23:52, time: 2.314, data_time: 0.053, memory: 28744, loss_cls: 0.3978, loss_offset: 0.9133, loss_depth: 1.2986, loss_size: 1.3195, loss_rotsin: 0.4541, loss_centerness: 0.5890, loss_velo: 0.0628, loss_dir: 0.6394, loss_attr: 0.7586, loss: 6.4330, grad_norm: 6.5340
2021-08-10 04:44:41,853 - mmdet - INFO - Epoch [2][350/2217] lr: 8.000e-03, eta: 15:22:00, time: 2.308, data_time: 0.048, memory: 28744, loss_cls: 0.4004, loss_offset: 0.9123, loss_depth: 1.3271, loss_size: 1.3268, loss_rotsin: 0.4579, loss_centerness: 0.5892, loss_velo: 0.0584, loss_dir: 0.6437, loss_attr: 0.7571, loss: 6.4728, grad_norm: 7.1316
2021-08-10 04:46:38,932 - mmdet - INFO - Epoch [2][400/2217] lr: 8.000e-03, eta: 15:20:24, time: 2.342, data_time: 0.052, memory: 28744, loss_cls: 0.3939, loss_offset: 0.9142, loss_depth: 1.3422, loss_size: 1.3652, loss_rotsin: 0.4625, loss_centerness: 0.5888, loss_velo: 0.0611, loss_dir: 0.6389, loss_attr: 0.7282, loss: 6.4951, grad_norm: 6.8608
2021-08-10 04:48:33,738 - mmdet - INFO - Epoch [2][450/2217] lr: 8.000e-03, eta: 15:18:26, time: 2.296, data_time: 0.047, memory: 28744, loss_cls: 0.3948, loss_offset: 0.9065, loss_depth: 1.2975, loss_size: 1.3442, loss_rotsin: 0.4491, loss_centerness: 0.5884, loss_velo: 0.0607, loss_dir: 0.6381, loss_attr: 0.7352, loss: 6.4145, grad_norm: 6.7306
2021-08-10 04:50:29,996 - mmdet - INFO - Epoch [2][500/2217] lr: 8.000e-03, eta: 15:16:41, time: 2.325, data_time: 0.055, memory: 28744, loss_cls: 0.3923, loss_offset: 0.9014, loss_depth: 1.2430, loss_size: 1.3230, loss_rotsin: 0.4553, loss_centerness: 0.5880, loss_velo: 0.0612, loss_dir: 0.6323, loss_attr: 0.7276, loss: 6.3241, grad_norm: 6.0488
2021-08-10 04:52:25,400 - mmdet - INFO - Epoch [2][550/2217] lr: 8.000e-03, eta: 15:14:48, time: 2.308, data_time: 0.061, memory: 28744, loss_cls: 0.3940, loss_offset: 0.9044, loss_depth: 1.2948, loss_size: 1.3050, loss_rotsin: 0.4534, loss_centerness: 0.5884, loss_velo: 0.0617, loss_dir: 0.6319, loss_attr: 0.7464, loss: 6.3801, grad_norm: 6.9006
2021-08-10 04:54:21,409 - mmdet - INFO - Epoch [2][600/2217] lr: 8.000e-03, eta: 15:13:00, time: 2.320, data_time: 0.056, memory: 28744, loss_cls: 0.3911, loss_offset: 0.9064, loss_depth: 1.3023, loss_size: 1.3310, loss_rotsin: 0.4508, loss_centerness: 0.5884, loss_velo: 0.0606, loss_dir: 0.6296, loss_attr: 0.7193, loss: 6.3794, grad_norm: 7.2349
2021-08-10 04:56:17,342 - mmdet - INFO - Epoch [2][650/2217] lr: 8.000e-03, eta: 15:11:12, time: 2.319, data_time: 0.054, memory: 28744, loss_cls: 0.3934, loss_offset: 0.9023, loss_depth: 1.3753, loss_size: 1.3269, loss_rotsin: 0.4423, loss_centerness: 0.5882, loss_velo: 0.0621, loss_dir: 0.6329, loss_attr: 0.7561, loss: 6.4794, grad_norm: 7.8959
2021-08-10 04:58:13,352 - mmdet - INFO - Epoch [2][700/2217] lr: 8.000e-03, eta: 15:09:23, time: 2.320, data_time: 0.053, memory: 28744, loss_cls: 0.3894, loss_offset: 0.8968, loss_depth: 1.2460, loss_size: 1.2768, loss_rotsin: 0.4525, loss_centerness: 0.5878, loss_velo: 0.0605, loss_dir: 0.6353, loss_attr: 0.7316, loss: 6.2767, grad_norm: 6.5381
2021-08-10 05:00:09,546 - mmdet - INFO - Epoch [2][750/2217] lr: 8.000e-03, eta: 15:07:36, time: 2.324, data_time: 0.053, memory: 28744, loss_cls: 0.3920, loss_offset: 0.8990, loss_depth: 1.2800, loss_size: 1.3014, loss_rotsin: 0.4501, loss_centerness: 0.5882, loss_velo: 0.0602, loss_dir: 0.6387, loss_attr: 0.7192, loss: 6.3289, grad_norm: 6.7120
2021-08-10 05:02:05,494 - mmdet - INFO - Epoch [2][800/2217] lr: 8.000e-03, eta: 15:05:47, time: 2.319, data_time: 0.053, memory: 28744, loss_cls: 0.3847, loss_offset: 0.8963, loss_depth: 1.2929, loss_size: 1.3200, loss_rotsin: 0.4558, loss_centerness: 0.5881, loss_velo: 0.0612, loss_dir: 0.6347, loss_attr: 0.7243, loss: 6.3580, grad_norm: 7.3280
2021-08-10 05:04:01,650 - mmdet - INFO - Epoch [2][850/2217] lr: 8.000e-03, eta: 15:03:59, time: 2.323, data_time: 0.056, memory: 28744, loss_cls: 0.3860, loss_offset: 0.8920, loss_depth: 1.2605, loss_size: 1.3044, loss_rotsin: 0.4485, loss_centerness: 0.5880, loss_velo: 0.0602, loss_dir: 0.6357, loss_attr: 0.7246, loss: 6.2999, grad_norm: 6.7423
2021-08-10 05:05:57,598 - mmdet - INFO - Epoch [2][900/2217] lr: 8.000e-03, eta: 15:02:09, time: 2.319, data_time: 0.059, memory: 28744, loss_cls: 0.3804, loss_offset: 0.8826, loss_depth: 1.2291, loss_size: 1.2840, loss_rotsin: 0.4471, loss_centerness: 0.5878, loss_velo: 0.0631, loss_dir: 0.6259, loss_attr: 0.7150, loss: 6.2150, grad_norm: 6.3895
2021-08-10 05:07:53,629 - mmdet - INFO - Epoch [2][950/2217] lr: 8.000e-03, eta: 15:00:20, time: 2.321, data_time: 0.052, memory: 28744, loss_cls: 0.3841, loss_offset: 0.8892, loss_depth: 1.2145, loss_size: 1.2788, loss_rotsin: 0.4458, loss_centerness: 0.5880, loss_velo: 0.0597, loss_dir: 0.6298, loss_attr: 0.7119, loss: 6.2018, grad_norm: 6.2387
2021-08-10 05:09:48,460 - mmdet - INFO - Epoch [2][1000/2217] lr: 8.000e-03, eta: 14:58:22, time: 2.297, data_time: 0.054, memory: 28744, loss_cls: 0.3846, loss_offset: 0.8864, loss_depth: 1.2270, loss_size: 1.2916, loss_rotsin: 0.4499, loss_centerness: 0.5877, loss_velo: 0.0606, loss_dir: 0.6270, loss_attr: 0.7178, loss: 6.2326, grad_norm: 6.5603
2021-08-10 05:11:44,631 - mmdet - INFO - Epoch [2][1050/2217] lr: 8.000e-03, eta: 14:56:33, time: 2.323, data_time: 0.060, memory: 28744, loss_cls: 0.3820, loss_offset: 0.8849, loss_depth: 1.2216, loss_size: 1.2514, loss_rotsin: 0.4423, loss_centerness: 0.5874, loss_velo: 0.0622, loss_dir: 0.6252, loss_attr: 0.7148, loss: 6.1718, grad_norm: 6.7247
2021-08-10 05:13:40,288 - mmdet - INFO - Epoch [2][1100/2217] lr: 8.000e-03, eta: 14:54:41, time: 2.313, data_time: 0.055, memory: 28744, loss_cls: 0.3832, loss_offset: 0.8890, loss_depth: 1.2322, loss_size: 1.2796, loss_rotsin: 0.4431, loss_centerness: 0.5875, loss_velo: 0.0640, loss_dir: 0.6218, loss_attr: 0.7198, loss: 6.2203, grad_norm: 6.5022
2021-08-10 05:15:35,362 - mmdet - INFO - Epoch [2][1150/2217] lr: 8.000e-03, eta: 14:52:44, time: 2.301, data_time: 0.049, memory: 28744, loss_cls: 0.3791, loss_offset: 0.8746, loss_depth: 1.2501, loss_size: 1.2455, loss_rotsin: 0.4355, loss_centerness: 0.5869, loss_velo: 0.0625, loss_dir: 0.6196, loss_attr: 0.6899, loss: 6.1437, grad_norm: 7.1547
2021-08-10 05:17:30,185 - mmdet - INFO - Epoch [2][1200/2217] lr: 8.000e-03, eta: 14:50:46, time: 2.297, data_time: 0.054, memory: 28744, loss_cls: 0.3798, loss_offset: 0.8785, loss_depth: 1.2258, loss_size: 1.2581, loss_rotsin: 0.4505, loss_centerness: 0.5874, loss_velo: 0.0648, loss_dir: 0.6237, loss_attr: 0.7065, loss: 6.1750, grad_norm: 6.5717
2021-08-10 05:19:24,390 - mmdet - INFO - Epoch [2][1250/2217] lr: 8.000e-03, eta: 14:48:44, time: 2.284, data_time: 0.054, memory: 28744, loss_cls: 0.3798, loss_offset: 0.8753, loss_depth: 1.1898, loss_size: 1.2408, loss_rotsin: 0.4418, loss_centerness: 0.5869, loss_velo: 0.0603, loss_dir: 0.6197, loss_attr: 0.7262, loss: 6.1206, grad_norm: 6.5109
2021-08-10 05:21:18,964 - mmdet - INFO - Epoch [2][1300/2217] lr: 8.000e-03, eta: 14:46:44, time: 2.291, data_time: 0.055, memory: 28744, loss_cls: 0.3739, loss_offset: 0.8695, loss_depth: 1.1862, loss_size: 1.2562, loss_rotsin: 0.4383, loss_centerness: 0.5869, loss_velo: 0.0595, loss_dir: 0.6224, loss_attr: 0.6892, loss: 6.0821, grad_norm: 6.7779
2021-08-10 05:23:13,144 - mmdet - INFO - Epoch [2][1350/2217] lr: 8.000e-03, eta: 14:44:42, time: 2.284, data_time: 0.050, memory: 28744, loss_cls: 0.3751, loss_offset: 0.8684, loss_depth: 1.2178, loss_size: 1.2482, loss_rotsin: 0.4339, loss_centerness: 0.5867, loss_velo: 0.0653, loss_dir: 0.6187, loss_attr: 0.6921, loss: 6.1061, grad_norm: 6.8662
2021-08-10 05:25:07,178 - mmdet - INFO - Epoch [2][1400/2217] lr: 8.000e-03, eta: 14:42:40, time: 2.281, data_time: 0.053, memory: 28744, loss_cls: 0.3761, loss_offset: 0.8721, loss_depth: 1.2417, loss_size: 1.2446, loss_rotsin: 0.4353, loss_centerness: 0.5869, loss_velo: 0.0624, loss_dir: 0.6168, loss_attr: 0.6875, loss: 6.1234, grad_norm: 6.8630
2021-08-10 05:27:01,971 - mmdet - INFO - Epoch [2][1450/2217] lr: 8.000e-03, eta: 14:40:42, time: 2.296, data_time: 0.053, memory: 28744, loss_cls: 0.3752, loss_offset: 0.8682, loss_depth: 1.2442, loss_size: 1.2556, loss_rotsin: 0.4367, loss_centerness: 0.5867, loss_velo: 0.0627, loss_dir: 0.6125, loss_attr: 0.6895, loss: 6.1314, grad_norm: 7.3346
2021-08-10 05:28:57,948 - mmdet - INFO - Epoch [2][1500/2217] lr: 8.000e-03, eta: 14:38:51, time: 2.320, data_time: 0.053, memory: 28744, loss_cls: 0.3717, loss_offset: 0.8622, loss_depth: 1.2092, loss_size: 1.2385, loss_rotsin: 0.4348, loss_centerness: 0.5867, loss_velo: 0.0618, loss_dir: 0.6137, loss_attr: 0.6859, loss: 6.0644, grad_norm: 7.0062
2021-08-10 05:30:53,665 - mmdet - INFO - Epoch [2][1550/2217] lr: 8.000e-03, eta: 14:36:59, time: 2.314, data_time: 0.050, memory: 28744, loss_cls: 0.3750, loss_offset: 0.8651, loss_depth: 1.1789, loss_size: 1.2308, loss_rotsin: 0.4331, loss_centerness: 0.5870, loss_velo: 0.0638, loss_dir: 0.6097, loss_attr: 0.6974, loss: 6.0408, grad_norm: 6.5308
2021-08-10 05:32:49,444 - mmdet - INFO - Epoch [2][1600/2217] lr: 8.000e-03, eta: 14:35:08, time: 2.316, data_time: 0.052, memory: 28744, loss_cls: 0.3670, loss_offset: 0.8602, loss_depth: 1.2390, loss_size: 1.2065, loss_rotsin: 0.4272, loss_centerness: 0.5863, loss_velo: 0.0608, loss_dir: 0.6135, loss_attr: 0.6743, loss: 6.0347, grad_norm: 7.3207
2021-08-10 05:34:44,681 - mmdet - INFO - Epoch [2][1650/2217] lr: 8.000e-03, eta: 14:33:13, time: 2.305, data_time: 0.051, memory: 28744, loss_cls: 0.3669, loss_offset: 0.8552, loss_depth: 1.1887, loss_size: 1.2062, loss_rotsin: 0.4318, loss_centerness: 0.5870, loss_velo: 0.0600, loss_dir: 0.6064, loss_attr: 0.6851, loss: 5.9875, grad_norm: 7.0115
2021-08-10 05:36:39,742 - mmdet - INFO - Epoch [2][1700/2217] lr: 8.000e-03, eta: 14:31:16, time: 2.301, data_time: 0.056, memory: 28744, loss_cls: 0.3723, loss_offset: 0.8530, loss_depth: 1.2317, loss_size: 1.2398, loss_rotsin: 0.4361, loss_centerness: 0.5868, loss_velo: 0.0599, loss_dir: 0.6132, loss_attr: 0.6618, loss: 6.0547, grad_norm: 7.0987
2021-08-10 05:38:35,175 - mmdet - INFO - Epoch [2][1750/2217] lr: 8.000e-03, eta: 14:29:22, time: 2.309, data_time: 0.057, memory: 28744, loss_cls: 0.3705, loss_offset: 0.8583, loss_depth: 1.1906, loss_size: 1.1919, loss_rotsin: 0.4288, loss_centerness: 0.5865, loss_velo: 0.0630, loss_dir: 0.6081, loss_attr: 0.6746, loss: 5.9724, grad_norm: 6.6293
2021-08-10 05:40:30,148 - mmdet - INFO - Epoch [2][1800/2217] lr: 8.000e-03, eta: 14:27:26, time: 2.300, data_time: 0.052, memory: 28744, loss_cls: 0.3709, loss_offset: 0.8537, loss_depth: 1.1868, loss_size: 1.2249, loss_rotsin: 0.4244, loss_centerness: 0.5859, loss_velo: 0.0629, loss_dir: 0.6063, loss_attr: 0.6694, loss: 5.9854, grad_norm: 6.4709
2021-08-10 05:42:24,859 - mmdet - INFO - Epoch [2][1850/2217] lr: 8.000e-03, eta: 14:25:28, time: 2.294, data_time: 0.058, memory: 28744, loss_cls: 0.3653, loss_offset: 0.8535, loss_depth: 1.1467, loss_size: 1.1921, loss_rotsin: 0.4258, loss_centerness: 0.5862, loss_velo: 0.0610, loss_dir: 0.6043, loss_attr: 0.6586, loss: 5.8934, grad_norm: 6.7122
2021-08-10 05:44:20,471 - mmdet - INFO - Epoch [2][1900/2217] lr: 8.000e-03, eta: 14:23:35, time: 2.312, data_time: 0.060, memory: 28744, loss_cls: 0.3651, loss_offset: 0.8511, loss_depth: 1.1180, loss_size: 1.1838, loss_rotsin: 0.4297, loss_centerness: 0.5863, loss_velo: 0.0593, loss_dir: 0.6108, loss_attr: 0.6374, loss: 5.8415, grad_norm: 6.2608
2021-08-10 05:46:15,313 - mmdet - INFO - Epoch [2][1950/2217] lr: 8.000e-03, eta: 14:21:38, time: 2.297, data_time: 0.052, memory: 28744, loss_cls: 0.3634, loss_offset: 0.8367, loss_depth: 1.1669, loss_size: 1.1900, loss_rotsin: 0.4199, loss_centerness: 0.5858, loss_velo: 0.0647, loss_dir: 0.5990, loss_attr: 0.6673, loss: 5.8937, grad_norm: 6.7984
2021-08-10 05:48:10,929 - mmdet - INFO - Epoch [2][2000/2217] lr: 8.000e-03, eta: 14:19:45, time: 2.312, data_time: 0.050, memory: 28744, loss_cls: 0.3659, loss_offset: 0.8437, loss_depth: 1.1956, loss_size: 1.1819, loss_rotsin: 0.4237, loss_centerness: 0.5864, loss_velo: 0.0614, loss_dir: 0.6134, loss_attr: 0.6567, loss: 5.9287, grad_norm: 7.2981
2021-08-10 05:50:06,241 - mmdet - INFO - Epoch [2][2050/2217] lr: 8.000e-03, eta: 14:17:50, time: 2.306, data_time: 0.057, memory: 28744, loss_cls: 0.3678, loss_offset: 0.8445, loss_depth: 1.1381, loss_size: 1.2099, loss_rotsin: 0.4221, loss_centerness: 0.5859, loss_velo: 0.0607, loss_dir: 0.6045, loss_attr: 0.6595, loss: 5.8929, grad_norm: 6.2214
2021-08-10 05:52:00,637 - mmdet - INFO - Epoch [2][2100/2217] lr: 8.000e-03, eta: 14:15:50, time: 2.288, data_time: 0.052, memory: 28744, loss_cls: 0.3613, loss_offset: 0.8455, loss_depth: 1.1282, loss_size: 1.1740, loss_rotsin: 0.4085, loss_centerness: 0.5856, loss_velo: 0.0629, loss_dir: 0.6010, loss_attr: 0.6350, loss: 5.8021, grad_norm: 6.2136
2021-08-10 05:53:56,117 - mmdet - INFO - Epoch [2][2150/2217] lr: 8.000e-03, eta: 14:13:57, time: 2.310, data_time: 0.053, memory: 28744, loss_cls: 0.3619, loss_offset: 0.8406, loss_depth: 1.0770, loss_size: 1.1554, loss_rotsin: 0.4179, loss_centerness: 0.5856, loss_velo: 0.0610, loss_dir: 0.6032, loss_attr: 0.6550, loss: 5.7577, grad_norm: 5.9809
2021-08-10 05:55:51,505 - mmdet - INFO - Epoch [2][2200/2217] lr: 8.000e-03, eta: 14:12:02, time: 2.308, data_time: 0.051, memory: 28744, loss_cls: 0.3681, loss_offset: 0.8413, loss_depth: 1.1800, loss_size: 1.2292, loss_rotsin: 0.4325, loss_centerness: 0.5858, loss_velo: 0.0632, loss_dir: 0.6058, loss_attr: 0.6690, loss: 5.9750, grad_norm: 6.8341
2021-08-10 05:56:30,830 - mmdet - INFO - Saving checkpoint at 2 epochs
2021-08-10 05:58:34,162 - mmdet - INFO - Epoch [3][50/2217] lr: 8.000e-03, eta: 14:06:47, time: 2.433, data_time: 0.189, memory: 28744, loss_cls: 0.3580, loss_offset: 0.8291, loss_depth: 1.1071, loss_size: 1.1416, loss_rotsin: 0.4161, loss_centerness: 0.5854, loss_velo: 0.0608, loss_dir: 0.5938, loss_attr: 0.6002, loss: 5.6921, grad_norm: 6.2376
2021-08-10 06:00:29,968 - mmdet - INFO - Epoch [3][100/2217] lr: 8.000e-03, eta: 14:04:56, time: 2.316, data_time: 0.054, memory: 28744, loss_cls: 0.3573, loss_offset: 0.8326, loss_depth: 1.1737, loss_size: 1.1624, loss_rotsin: 0.4205, loss_centerness: 0.5856, loss_velo: 0.0607, loss_dir: 0.5937, loss_attr: 0.6233, loss: 5.8100, grad_norm: 7.3429
2021-08-10 06:02:25,359 - mmdet - INFO - Epoch [3][150/2217] lr: 8.000e-03, eta: 14:03:04, time: 2.308, data_time: 0.052, memory: 28744, loss_cls: 0.3580, loss_offset: 0.8259, loss_depth: 1.0854, loss_size: 1.1258, loss_rotsin: 0.4167, loss_centerness: 0.5854, loss_velo: 0.0633, loss_dir: 0.5923, loss_attr: 0.6185, loss: 5.6711, grad_norm: 6.4437
2021-08-10 06:04:21,366 - mmdet - INFO - Epoch [3][200/2217] lr: 8.000e-03, eta: 14:01:15, time: 2.320, data_time: 0.053, memory: 28744, loss_cls: 0.3567, loss_offset: 0.8271, loss_depth: 1.1443, loss_size: 1.1390, loss_rotsin: 0.4201, loss_centerness: 0.5859, loss_velo: 0.0609, loss_dir: 0.5966, loss_attr: 0.6193, loss: 5.7501, grad_norm: 7.1174
2021-08-10 06:06:16,920 - mmdet - INFO - Epoch [3][250/2217] lr: 8.000e-03, eta: 13:59:23, time: 2.311, data_time: 0.050, memory: 28744, loss_cls: 0.3572, loss_offset: 0.8285, loss_depth: 1.1303, loss_size: 1.1754, loss_rotsin: 0.4148, loss_centerness: 0.5853, loss_velo: 0.0647, loss_dir: 0.5951, loss_attr: 0.6285, loss: 5.7800, grad_norm: 7.0214
2021-08-10 06:08:14,635 - mmdet - INFO - Epoch [3][300/2217] lr: 8.000e-03, eta: 13:57:41, time: 2.354, data_time: 0.096, memory: 28744, loss_cls: 0.3530, loss_offset: 0.8208, loss_depth: 1.0628, loss_size: 1.1055, loss_rotsin: 0.4174, loss_centerness: 0.5850, loss_velo: 0.0612, loss_dir: 0.5912, loss_attr: 0.6033, loss: 5.6002, grad_norm: 6.3177
2021-08-10 06:10:14,844 - mmdet - INFO - Epoch [3][350/2217] lr: 8.000e-03, eta: 13:56:10, time: 2.404, data_time: 0.142, memory: 28744, loss_cls: 0.3577, loss_offset: 0.8252, loss_depth: 1.1429, loss_size: 1.1117, loss_rotsin: 0.4188, loss_centerness: 0.5848, loss_velo: 0.0612, loss_dir: 0.5943, loss_attr: 0.6286, loss: 5.7252, grad_norm: 6.7908
2021-08-10 06:12:12,968 - mmdet - INFO - Epoch [3][400/2217] lr: 8.000e-03, eta: 13:54:30, time: 2.362, data_time: 0.096, memory: 28744, loss_cls: 0.3529, loss_offset: 0.8245, loss_depth: 1.1041, loss_size: 1.1256, loss_rotsin: 0.4151, loss_centerness: 0.5851, loss_velo: 0.0628, loss_dir: 0.5948, loss_attr: 0.6155, loss: 5.6802, grad_norm: 6.6642
2021-08-10 06:14:08,485 - mmdet - INFO - Epoch [3][450/2217] lr: 8.000e-03, eta: 13:52:37, time: 2.310, data_time: 0.055, memory: 28744, loss_cls: 0.3553, loss_offset: 0.8261, loss_depth: 1.1281, loss_size: 1.1547, loss_rotsin: 0.4037, loss_centerness: 0.5850, loss_velo: 0.0634, loss_dir: 0.5891, loss_attr: 0.6323, loss: 5.7377, grad_norm: 6.7168
2021-08-10 06:16:03,920 - mmdet - INFO - Epoch [3][500/2217] lr: 8.000e-03, eta: 13:50:44, time: 2.309, data_time: 0.053, memory: 28744, loss_cls: 0.3562, loss_offset: 0.8233, loss_depth: 1.0875, loss_size: 1.1342, loss_rotsin: 0.4173, loss_centerness: 0.5849, loss_velo: 0.0606, loss_dir: 0.5897, loss_attr: 0.6240, loss: 5.6776, grad_norm: 6.3882
2021-08-10 06:18:00,698 - mmdet - INFO - Epoch [3][550/2217] lr: 8.000e-03, eta: 13:48:57, time: 2.336, data_time: 0.057, memory: 28744, loss_cls: 0.3536, loss_offset: 0.8228, loss_depth: 1.1532, loss_size: 1.1068, loss_rotsin: 0.4187, loss_centerness: 0.5848, loss_velo: 0.0613, loss_dir: 0.5914, loss_attr: 0.6157, loss: 5.7084, grad_norm: 7.3523
2021-08-10 06:19:57,908 - mmdet - INFO - Epoch [3][600/2217] lr: 8.000e-03, eta: 13:47:11, time: 2.344, data_time: 0.058, memory: 28744, loss_cls: 0.3493, loss_offset: 0.8178, loss_depth: 1.1217, loss_size: 1.1227, loss_rotsin: 0.4056, loss_centerness: 0.5851, loss_velo: 0.0638, loss_dir: 0.5884, loss_attr: 0.6100, loss: 5.6643, grad_norm: 6.9221
2021-08-10 06:21:53,835 - mmdet - INFO - Epoch [3][650/2217] lr: 8.000e-03, eta: 13:45:20, time: 2.319, data_time: 0.053, memory: 28744, loss_cls: 0.3497, loss_offset: 0.8285, loss_depth: 1.0735, loss_size: 1.1169, loss_rotsin: 0.4213, loss_centerness: 0.5853, loss_velo: 0.0590, loss_dir: 0.5995, loss_attr: 0.6175, loss: 5.6513, grad_norm: 6.5745
2021-08-10 06:23:49,559 - mmdet - INFO - Epoch [3][700/2217] lr: 8.000e-03, eta: 13:43:27, time: 2.314, data_time: 0.053, memory: 28744, loss_cls: 0.3482, loss_offset: 0.8145, loss_depth: 1.0961, loss_size: 1.1318, loss_rotsin: 0.4058, loss_centerness: 0.5842, loss_velo: 0.0645, loss_dir: 0.5825, loss_attr: 0.5945, loss: 5.6221, grad_norm: 7.1052
2021-08-10 06:25:44,727 - mmdet - INFO - Epoch [3][750/2217] lr: 8.000e-03, eta: 13:41:33, time: 2.303, data_time: 0.053, memory: 28744, loss_cls: 0.3480, loss_offset: 0.8108, loss_depth: 1.1008, loss_size: 1.0988, loss_rotsin: 0.4011, loss_centerness: 0.5841, loss_velo: 0.0618, loss_dir: 0.5758, loss_attr: 0.6152, loss: 5.5965, grad_norm: 7.2015
2021-08-10 06:27:40,219 - mmdet - INFO - Epoch [3][800/2217] lr: 8.000e-03, eta: 13:39:39, time: 2.310, data_time: 0.056, memory: 28744, loss_cls: 0.3500, loss_offset: 0.8213, loss_depth: 1.1096, loss_size: 1.1262, loss_rotsin: 0.4021, loss_centerness: 0.5845, loss_velo: 0.0620, loss_dir: 0.5790, loss_attr: 0.6020, loss: 5.6366, grad_norm: 7.0076
2021-08-10 06:29:36,256 - mmdet - INFO - Epoch [3][850/2217] lr: 8.000e-03, eta: 13:37:48, time: 2.321, data_time: 0.059, memory: 28744, loss_cls: 0.3493, loss_offset: 0.8172, loss_depth: 1.0590, loss_size: 1.1161, loss_rotsin: 0.4134, loss_centerness: 0.5844, loss_velo: 0.0622, loss_dir: 0.5870, loss_attr: 0.6086, loss: 5.5970, grad_norm: 6.4614
2021-08-10 06:31:31,693 - mmdet - INFO - Epoch [3][900/2217] lr: 8.000e-03, eta: 13:35:55, time: 2.309, data_time: 0.054, memory: 28744, loss_cls: 0.3454, loss_offset: 0.8095, loss_depth: 1.0812, loss_size: 1.0933, loss_rotsin: 0.4044, loss_centerness: 0.5844, loss_velo: 0.0581, loss_dir: 0.5800, loss_attr: 0.5868, loss: 5.5430, grad_norm: 6.9513
2021-08-10 06:33:27,738 - mmdet - INFO - Epoch [3][950/2217] lr: 8.000e-03, eta: 13:34:03, time: 2.321, data_time: 0.058, memory: 28744, loss_cls: 0.3462, loss_offset: 0.8019, loss_depth: 1.0831, loss_size: 1.0684, loss_rotsin: 0.4073, loss_centerness: 0.5840, loss_velo: 0.0606, loss_dir: 0.5798, loss_attr: 0.5839, loss: 5.5153, grad_norm: 7.1166
2021-08-10 06:35:23,456 - mmdet - INFO - Epoch [3][1000/2217] lr: 8.000e-03, eta: 13:32:11, time: 2.314, data_time: 0.059, memory: 28744, loss_cls: 0.3448, loss_offset: 0.8070, loss_depth: 1.0856, loss_size: 1.1127, loss_rotsin: 0.4039, loss_centerness: 0.5842, loss_velo: 0.0624, loss_dir: 0.5823, loss_attr: 0.5927, loss: 5.5757, grad_norm: 6.5786
2021-08-10 06:37:20,323 - mmdet - INFO - Epoch [3][1050/2217] lr: 8.000e-03, eta: 13:30:22, time: 2.338, data_time: 0.068, memory: 28746, loss_cls: 0.3444, loss_offset: 0.8033, loss_depth: 1.0841, loss_size: 1.0743, loss_rotsin: 0.4017, loss_centerness: 0.5840, loss_velo: 0.0622, loss_dir: 0.5754, loss_attr: 0.5907, loss: 5.5200, grad_norm: 6.9270
2021-08-10 06:39:17,743 - mmdet - INFO - Epoch [3][1100/2217] lr: 8.000e-03, eta: 13:28:36, time: 2.348, data_time: 0.088, memory: 28746, loss_cls: 0.3457, loss_offset: 0.8083, loss_depth: 1.0840, loss_size: 1.0775, loss_rotsin: 0.4055, loss_centerness: 0.5844, loss_velo: 0.0608, loss_dir: 0.5813, loss_attr: 0.5831, loss: 5.5306, grad_norm: 6.8210
2021-08-10 06:41:12,995 - mmdet - INFO - Epoch [3][1150/2217] lr: 8.000e-03, eta: 13:26:41, time: 2.305, data_time: 0.057, memory: 28746, loss_cls: 0.3480, loss_offset: 0.8127, loss_depth: 1.1062, loss_size: 1.1332, loss_rotsin: 0.3978, loss_centerness: 0.5842, loss_velo: 0.0596, loss_dir: 0.5763, loss_attr: 0.6013, loss: 5.6194, grad_norm: 7.2628
2021-08-10 06:43:09,241 - mmdet - INFO - Epoch [3][1200/2217] lr: 8.000e-03, eta: 13:24:50, time: 2.325, data_time: 0.057, memory: 28746, loss_cls: 0.3454, loss_offset: 0.8050, loss_depth: 1.0551, loss_size: 1.1063, loss_rotsin: 0.4058, loss_centerness: 0.5845, loss_velo: 0.0607, loss_dir: 0.5771, loss_attr: 0.5780, loss: 5.5179, grad_norm: 6.3640
2021-08-10 06:45:04,383 - mmdet - INFO - Epoch [3][1250/2217] lr: 8.000e-03, eta: 13:22:55, time: 2.303, data_time: 0.052, memory: 28746, loss_cls: 0.3429, loss_offset: 0.8067, loss_depth: 1.1101, loss_size: 1.0827, loss_rotsin: 0.3968, loss_centerness: 0.5845, loss_velo: 0.0633, loss_dir: 0.5722, loss_attr: 0.5931, loss: 5.5523, grad_norm: 7.3340
2021-08-10 06:47:00,625 - mmdet - INFO - Epoch [3][1300/2217] lr: 8.000e-03, eta: 13:21:04, time: 2.325, data_time: 0.058, memory: 28746, loss_cls: 0.3419, loss_offset: 0.7997, loss_depth: 1.0625, loss_size: 1.0912, loss_rotsin: 0.3967, loss_centerness: 0.5840, loss_velo: 0.0571, loss_dir: 0.5704, loss_attr: 0.5834, loss: 5.4869, grad_norm: 6.5973
2021-08-10 06:48:56,584 - mmdet - INFO - Epoch [3][1350/2217] lr: 8.000e-03, eta: 13:19:12, time: 2.319, data_time: 0.056, memory: 28746, loss_cls: 0.3433, loss_offset: 0.8018, loss_depth: 1.0525, loss_size: 1.0666, loss_rotsin: 0.3977, loss_centerness: 0.5848, loss_velo: 0.0609, loss_dir: 0.5723, loss_attr: 0.5822, loss: 5.4621, grad_norm: 6.5656
2021-08-10 06:50:53,206 - mmdet - INFO - Epoch [3][1400/2217] lr: 8.000e-03, eta: 13:17:22, time: 2.332, data_time: 0.052, memory: 28746, loss_cls: 0.3408, loss_offset: 0.8018, loss_depth: 1.1568, loss_size: 1.0786, loss_rotsin: 0.3966, loss_centerness: 0.5837, loss_velo: 0.0590, loss_dir: 0.5763, loss_attr: 0.5829, loss: 5.5766, grad_norm: 7.8193
2021-08-10 06:52:49,894 - mmdet - INFO - Epoch [3][1450/2217] lr: 8.000e-03, eta: 13:15:32, time: 2.334, data_time: 0.052, memory: 28746, loss_cls: 0.3426, loss_offset: 0.7972, loss_depth: 1.0584, loss_size: 1.0773, loss_rotsin: 0.3950, loss_centerness: 0.5838, loss_velo: 0.0617, loss_dir: 0.5697, loss_attr: 0.5705, loss: 5.4561, grad_norm: 6.8064
2021-08-10 06:54:45,627 - mmdet - INFO - Epoch [3][1500/2217] lr: 8.000e-03, eta: 13:13:39, time: 2.315, data_time: 0.053, memory: 28746, loss_cls: 0.3394, loss_offset: 0.7925, loss_depth: 1.0400, loss_size: 1.0667, loss_rotsin: 0.3873, loss_centerness: 0.5834, loss_velo: 0.0605, loss_dir: 0.5614, loss_attr: 0.5764, loss: 5.4075, grad_norm: 6.4657
2021-08-10 06:56:40,189 - mmdet - INFO - Epoch [3][1550/2217] lr: 8.000e-03, eta: 13:11:41, time: 2.291, data_time: 0.056, memory: 28746, loss_cls: 0.3432, loss_offset: 0.8031, loss_depth: 1.0686, loss_size: 1.0821, loss_rotsin: 0.3973, loss_centerness: 0.5839, loss_velo: 0.0619, loss_dir: 0.5663, loss_attr: 0.5844, loss: 5.4908, grad_norm: 6.4784
2021-08-10 06:58:35,835 - mmdet - INFO - Epoch [3][1600/2217] lr: 8.000e-03, eta: 13:09:48, time: 2.313, data_time: 0.057, memory: 28746, loss_cls: 0.3416, loss_offset: 0.7995, loss_depth: 1.0599, loss_size: 1.0578, loss_rotsin: 0.3969, loss_centerness: 0.5843, loss_velo: 0.0586, loss_dir: 0.5682, loss_attr: 0.5772, loss: 5.4441, grad_norm: 6.7175
2021-08-10 07:00:30,389 - mmdet - INFO - Epoch [3][1650/2217] lr: 8.000e-03, eta: 13:07:50, time: 2.291, data_time: 0.057, memory: 28746, loss_cls: 0.3435, loss_offset: 0.7925, loss_depth: 1.1320, loss_size: 1.1074, loss_rotsin: 0.3999, loss_centerness: 0.5841, loss_velo: 0.0632, loss_dir: 0.5689, loss_attr: 0.5747, loss: 5.5662, grad_norm: 7.8797
2021-08-10 07:02:25,765 - mmdet - INFO - Epoch [3][1700/2217] lr: 8.000e-03, eta: 13:05:56, time: 2.308, data_time: 0.060, memory: 28746, loss_cls: 0.3405, loss_offset: 0.7871, loss_depth: 1.0750, loss_size: 1.0852, loss_rotsin: 0.3850, loss_centerness: 0.5833, loss_velo: 0.0642, loss_dir: 0.5608, loss_attr: 0.5769, loss: 5.4580, grad_norm: 6.4500
2021-08-10 07:04:20,904 - mmdet - INFO - Epoch [3][1750/2217] lr: 8.000e-03, eta: 13:04:01, time: 2.303, data_time: 0.059, memory: 28746, loss_cls: 0.3398, loss_offset: 0.7943, loss_depth: 1.0206, loss_size: 1.0855, loss_rotsin: 0.3915, loss_centerness: 0.5839, loss_velo: 0.0595, loss_dir: 0.5590, loss_attr: 0.5710, loss: 5.4051, grad_norm: 6.6962
2021-08-10 07:06:16,101 - mmdet - INFO - Epoch [3][1800/2217] lr: 8.000e-03, eta: 13:02:05, time: 2.304, data_time: 0.058, memory: 28746, loss_cls: 0.3330, loss_offset: 0.7854, loss_depth: 1.0541, loss_size: 1.0045, loss_rotsin: 0.3818, loss_centerness: 0.5836, loss_velo: 0.0588, loss_dir: 0.5587, loss_attr: 0.5618, loss: 5.3216, grad_norm: 7.0689
2021-08-10 07:08:11,809 - mmdet - INFO - Epoch [3][1850/2217] lr: 8.000e-03, eta: 13:00:12, time: 2.314, data_time: 0.063, memory: 28746, loss_cls: 0.3379, loss_offset: 0.7836, loss_depth: 1.0319, loss_size: 1.0618, loss_rotsin: 0.3912, loss_centerness: 0.5831, loss_velo: 0.0618, loss_dir: 0.5610, loss_attr: 0.5626, loss: 5.3750, grad_norm: 6.4877
2021-08-10 07:10:07,863 - mmdet - INFO - Epoch [3][1900/2217] lr: 8.000e-03, eta: 12:58:20, time: 2.321, data_time: 0.063, memory: 28746, loss_cls: 0.3374, loss_offset: 0.7904, loss_depth: 1.0046, loss_size: 1.0468, loss_rotsin: 0.3893, loss_centerness: 0.5834, loss_velo: 0.0669, loss_dir: 0.5594, loss_attr: 0.5752, loss: 5.3534, grad_norm: 6.5013
2021-08-10 07:12:03,260 - mmdet - INFO - Epoch [3][1950/2217] lr: 8.000e-03, eta: 12:56:25, time: 2.308, data_time: 0.061, memory: 28746, loss_cls: 0.3389, loss_offset: 0.7844, loss_depth: 0.9875, loss_size: 1.0532, loss_rotsin: 0.3853, loss_centerness: 0.5835, loss_velo: 0.0621, loss_dir: 0.5558, loss_attr: 0.5624, loss: 5.3131, grad_norm: 6.0509
2021-08-10 07:13:59,098 - mmdet - INFO - Epoch [3][2000/2217] lr: 8.000e-03, eta: 12:54:32, time: 2.317, data_time: 0.060, memory: 28746, loss_cls: 0.3398, loss_offset: 0.7908, loss_depth: 1.0689, loss_size: 1.0919, loss_rotsin: 0.3930, loss_centerness: 0.5837, loss_velo: 0.0617, loss_dir: 0.5695, loss_attr: 0.5751, loss: 5.4743, grad_norm: 7.2245
2021-08-10 07:15:55,265 - mmdet - INFO - Epoch [3][2050/2217] lr: 8.000e-03, eta: 12:52:40, time: 2.323, data_time: 0.059, memory: 28746, loss_cls: 0.3335, loss_offset: 0.7833, loss_depth: 1.0138, loss_size: 1.0310, loss_rotsin: 0.3805, loss_centerness: 0.5836, loss_velo: 0.0612, loss_dir: 0.5605, loss_attr: 0.5395, loss: 5.2868, grad_norm: 6.6963
2021-08-10 07:17:51,487 - mmdet - INFO - Epoch [3][2100/2217] lr: 8.000e-03, eta: 12:50:48, time: 2.324, data_time: 0.061, memory: 28746, loss_cls: 0.3385, loss_offset: 0.7881, loss_depth: 1.0334, loss_size: 1.0903, loss_rotsin: 0.3922, loss_centerness: 0.5831, loss_velo: 0.0613, loss_dir: 0.5560, loss_attr: 0.5543, loss: 5.3973, grad_norm: 6.7041
2021-08-10 07:19:47,101 - mmdet - INFO - Epoch [3][2150/2217] lr: 8.000e-03, eta: 12:48:54, time: 2.312, data_time: 0.053, memory: 28746, loss_cls: 0.3356, loss_offset: 0.7874, loss_depth: 1.0246, loss_size: 1.0679, loss_rotsin: 0.3854, loss_centerness: 0.5839, loss_velo: 0.0602, loss_dir: 0.5645, loss_attr: 0.5626, loss: 5.3721, grad_norm: 6.5642
2021-08-10 07:21:43,339 - mmdet - INFO - Epoch [3][2200/2217] lr: 8.000e-03, eta: 12:47:01, time: 2.325, data_time: 0.060, memory: 28746, loss_cls: 0.3342, loss_offset: 0.7774, loss_depth: 1.0030, loss_size: 1.0655, loss_rotsin: 0.3770, loss_centerness: 0.5829, loss_velo: 0.0637, loss_dir: 0.5485, loss_attr: 0.5670, loss: 5.3191, grad_norm: 6.3298
2021-08-10 07:22:23,716 - mmdet - INFO - Saving checkpoint at 3 epochs
2021-08-10 07:24:26,940 - mmdet - INFO - Epoch [4][50/2217] lr: 8.000e-03, eta: 12:42:50, time: 2.432, data_time: 0.183, memory: 28746, loss_cls: 0.3370, loss_offset: 0.7839, loss_depth: 1.0950, loss_size: 1.0388, loss_rotsin: 0.3845, loss_centerness: 0.5834, loss_velo: 0.0635, loss_dir: 0.5571, loss_attr: 0.5326, loss: 5.3759, grad_norm: 7.4110
2021-08-10 07:26:21,791 - mmdet - INFO - Epoch [4][100/2217] lr: 8.000e-03, eta: 12:40:54, time: 2.297, data_time: 0.051, memory: 28746, loss_cls: 0.3321, loss_offset: 0.7787, loss_depth: 1.0035, loss_size: 1.0129, loss_rotsin: 0.3769, loss_centerness: 0.5828, loss_velo: 0.0590, loss_dir: 0.5516, loss_attr: 0.5448, loss: 5.2423, grad_norm: 6.6244
2021-08-10 07:28:16,909 - mmdet - INFO - Epoch [4][150/2217] lr: 8.000e-03, eta: 12:39:00, time: 2.302, data_time: 0.051, memory: 28746, loss_cls: 0.3312, loss_offset: 0.7681, loss_depth: 1.0103, loss_size: 1.0205, loss_rotsin: 0.3774, loss_centerness: 0.5824, loss_velo: 0.0616, loss_dir: 0.5436, loss_attr: 0.5454, loss: 5.2405, grad_norm: 6.8513
2021-08-10 07:30:11,781 - mmdet - INFO - Epoch [4][200/2217] lr: 8.000e-03, eta: 12:37:04, time: 2.297, data_time: 0.050, memory: 28746, loss_cls: 0.3329, loss_offset: 0.7719, loss_depth: 0.9902, loss_size: 1.0085, loss_rotsin: 0.3769, loss_centerness: 0.5825, loss_velo: 0.0627, loss_dir: 0.5542, loss_attr: 0.5391, loss: 5.2189, grad_norm: 6.6966
2021-08-10 07:32:07,011 - mmdet - INFO - Epoch [4][250/2217] lr: 8.000e-03, eta: 12:35:10, time: 2.305, data_time: 0.052, memory: 28746, loss_cls: 0.3306, loss_offset: 0.7740, loss_depth: 1.0004, loss_size: 1.0335, loss_rotsin: 0.3701, loss_centerness: 0.5833, loss_velo: 0.0588, loss_dir: 0.5507, loss_attr: 0.5133, loss: 5.2146, grad_norm: 6.7381
2021-08-10 07:34:02,767 - mmdet - INFO - Epoch [4][300/2217] lr: 8.000e-03, eta: 12:33:17, time: 2.315, data_time: 0.051, memory: 28746, loss_cls: 0.3286, loss_offset: 0.7666, loss_depth: 0.9804, loss_size: 1.0226, loss_rotsin: 0.3736, loss_centerness: 0.5826, loss_velo: 0.0581, loss_dir: 0.5498, loss_attr: 0.5182, loss: 5.1806, grad_norm: 6.7782
2021-08-10 07:35:58,288 - mmdet - INFO - Epoch [4][350/2217] lr: 8.000e-03, eta: 12:31:24, time: 2.311, data_time: 0.052, memory: 28746, loss_cls: 0.3372, loss_offset: 0.7806, loss_depth: 1.0164, loss_size: 1.0391, loss_rotsin: 0.3819, loss_centerness: 0.5827, loss_velo: 0.0610, loss_dir: 0.5544, loss_attr: 0.5456, loss: 5.2990, grad_norm: 6.9011
2021-08-10 07:37:52,931 - mmdet - INFO - Epoch [4][400/2217] lr: 8.000e-03, eta: 12:29:28, time: 2.293, data_time: 0.052, memory: 28746, loss_cls: 0.3282, loss_offset: 0.7651, loss_depth: 0.9830, loss_size: 1.0241, loss_rotsin: 0.3744, loss_centerness: 0.5830, loss_velo: 0.0613, loss_dir: 0.5467, loss_attr: 0.5232, loss: 5.1889, grad_norm: 6.7183
2021-08-10 07:39:49,178 - mmdet - INFO - Epoch [4][450/2217] lr: 8.000e-03, eta: 12:27:36, time: 2.325, data_time: 0.058, memory: 28746, loss_cls: 0.3280, loss_offset: 0.7682, loss_depth: 1.0174, loss_size: 0.9995, loss_rotsin: 0.3727, loss_centerness: 0.5826, loss_velo: 0.0631, loss_dir: 0.5541, loss_attr: 0.5304, loss: 5.2161, grad_norm: 7.2726
2021-08-10 07:41:44,691 - mmdet - INFO - Epoch [4][500/2217] lr: 8.000e-03, eta: 12:25:43, time: 2.310, data_time: 0.055, memory: 28746, loss_cls: 0.3247, loss_offset: 0.7609, loss_depth: 0.9781, loss_size: 0.9896, loss_rotsin: 0.3675, loss_centerness: 0.5819, loss_velo: 0.0591, loss_dir: 0.5449, loss_attr: 0.5144, loss: 5.1210, grad_norm: 6.3092
2021-08-10 07:43:40,165 - mmdet - INFO - Epoch [4][550/2217] lr: 8.000e-03, eta: 12:23:49, time: 2.309, data_time: 0.055, memory: 28746, loss_cls: 0.3272, loss_offset: 0.7628, loss_depth: 1.0606, loss_size: 0.9841, loss_rotsin: 0.3666, loss_centerness: 0.5825, loss_velo: 0.0647, loss_dir: 0.5488, loss_attr: 0.5345, loss: 5.2320, grad_norm: 7.9484
2021-08-10 07:45:36,018 - mmdet - INFO - Epoch [4][600/2217] lr: 8.000e-03, eta: 12:21:56, time: 2.317, data_time: 0.056, memory: 28746, loss_cls: 0.3270, loss_offset: 0.7660, loss_depth: 1.0126, loss_size: 1.0250, loss_rotsin: 0.3673, loss_centerness: 0.5825, loss_velo: 0.0652, loss_dir: 0.5409, loss_attr: 0.5181, loss: 5.2044, grad_norm: 6.8603
2021-08-10 07:47:31,843 - mmdet - INFO - Epoch [4][650/2217] lr: 8.000e-03, eta: 12:20:03, time: 2.317, data_time: 0.054, memory: 28746, loss_cls: 0.3247, loss_offset: 0.7640, loss_depth: 0.9863, loss_size: 0.9701, loss_rotsin: 0.3700, loss_centerness: 0.5822, loss_velo: 0.0610, loss_dir: 0.5463, loss_attr: 0.5048, loss: 5.1095, grad_norm: 6.8887
2021-08-10 07:49:27,541 - mmdet - INFO - Epoch [4][700/2217] lr: 8.000e-03, eta: 12:18:10, time: 2.314, data_time: 0.052, memory: 28746, loss_cls: 0.3283, loss_offset: 0.7678, loss_depth: 0.9822, loss_size: 1.0011, loss_rotsin: 0.3729, loss_centerness: 0.5819, loss_velo: 0.0604, loss_dir: 0.5460, loss_attr: 0.5378, loss: 5.1784, grad_norm: 6.4504
2021-08-10 07:51:23,016 - mmdet - INFO - Epoch [4][750/2217] lr: 8.000e-03, eta: 12:16:16, time: 2.310, data_time: 0.049, memory: 28746, loss_cls: 0.3247, loss_offset: 0.7718, loss_depth: 1.0483, loss_size: 1.0251, loss_rotsin: 0.3652, loss_centerness: 0.5827, loss_velo: 0.0590, loss_dir: 0.5485, loss_attr: 0.5343, loss: 5.2597, grad_norm: 7.3840
2021-08-10 07:53:17,891 - mmdet - INFO - Epoch [4][800/2217] lr: 8.000e-03, eta: 12:14:21, time: 2.297, data_time: 0.050, memory: 28746, loss_cls: 0.3289, loss_offset: 0.7592, loss_depth: 0.9353, loss_size: 1.0082, loss_rotsin: 0.3655, loss_centerness: 0.5823, loss_velo: 0.0640, loss_dir: 0.5371, loss_attr: 0.5397, loss: 5.1202, grad_norm: 6.2684
2021-08-10 07:55:13,240 - mmdet - INFO - Epoch [4][850/2217] lr: 8.000e-03, eta: 12:12:27, time: 2.307, data_time: 0.052, memory: 28746, loss_cls: 0.3258, loss_offset: 0.7581, loss_depth: 1.0464, loss_size: 0.9912, loss_rotsin: 0.3650, loss_centerness: 0.5823, loss_velo: 0.0622, loss_dir: 0.5387, loss_attr: 0.5308, loss: 5.2005, grad_norm: 7.4993
2021-08-10 07:57:08,682 - mmdet - INFO - Epoch [4][900/2217] lr: 8.000e-03, eta: 12:10:33, time: 2.309, data_time: 0.052, memory: 28746, loss_cls: 0.3288, loss_offset: 0.7643, loss_depth: 0.9464, loss_size: 0.9936, loss_rotsin: 0.3654, loss_centerness: 0.5823, loss_velo: 0.0640, loss_dir: 0.5461, loss_attr: 0.5261, loss: 5.1169, grad_norm: 6.2330
2021-08-10 07:59:05,032 - mmdet - INFO - Epoch [4][950/2217] lr: 8.000e-03, eta: 12:08:41, time: 2.327, data_time: 0.058, memory: 28746, loss_cls: 0.3283, loss_offset: 0.7574, loss_depth: 1.0009, loss_size: 1.0059, loss_rotsin: 0.3723, loss_centerness: 0.5821, loss_velo: 0.0629, loss_dir: 0.5391, loss_attr: 0.5421, loss: 5.1910, grad_norm: 7.0340
2021-08-10 08:01:01,787 - mmdet - INFO - Epoch [4][1000/2217] lr: 8.000e-03, eta: 12:06:50, time: 2.335, data_time: 0.051, memory: 28746, loss_cls: 0.3213, loss_offset: 0.7493, loss_depth: 1.0132, loss_size: 0.9739, loss_rotsin: 0.3656, loss_centerness: 0.5822, loss_velo: 0.0643, loss_dir: 0.5403, loss_attr: 0.5236, loss: 5.1339, grad_norm: 6.7934
2021-08-10 08:02:57,474 - mmdet - INFO - Epoch [4][1050/2217] lr: 8.000e-03, eta: 12:04:57, time: 2.314, data_time: 0.050, memory: 28746, loss_cls: 0.3207, loss_offset: 0.7589, loss_depth: 1.0991, loss_size: 1.0020, loss_rotsin: 0.3658, loss_centerness: 0.5824, loss_velo: 0.0578, loss_dir: 0.5391, loss_attr: 0.4952, loss: 5.2211, grad_norm: 7.9939
2021-08-10 08:04:52,922 - mmdet - INFO - Epoch [4][1100/2217] lr: 8.000e-03, eta: 12:03:02, time: 2.309, data_time: 0.054, memory: 28746, loss_cls: 0.3256, loss_offset: 0.7616, loss_depth: 0.9677, loss_size: 0.9833, loss_rotsin: 0.3621, loss_centerness: 0.5826, loss_velo: 0.0573, loss_dir: 0.5478, loss_attr: 0.5251, loss: 5.1131, grad_norm: 6.1233
2021-08-10 08:06:48,446 - mmdet - INFO - Epoch [4][1150/2217] lr: 8.000e-03, eta: 12:01:09, time: 2.311, data_time: 0.052, memory: 28746, loss_cls: 0.3245, loss_offset: 0.7610, loss_depth: 1.0307, loss_size: 0.9840, loss_rotsin: 0.3630, loss_centerness: 0.5820, loss_velo: 0.0623, loss_dir: 0.5408, loss_attr: 0.5148, loss: 5.1631, grad_norm: 7.6627
2021-08-10 08:08:42,966 - mmdet - INFO - Epoch [4][1200/2217] lr: 8.000e-03, eta: 11:59:12, time: 2.290, data_time: 0.055, memory: 28746, loss_cls: 0.3220, loss_offset: 0.7531, loss_depth: 1.0389, loss_size: 0.9783, loss_rotsin: 0.3637, loss_centerness: 0.5825, loss_velo: 0.0619, loss_dir: 0.5311, loss_attr: 0.4988, loss: 5.1303, grad_norm: 7.2745
2021-08-10 08:10:37,771 - mmdet - INFO - Epoch [4][1250/2217] lr: 8.000e-03, eta: 11:57:17, time: 2.296, data_time: 0.054, memory: 28746, loss_cls: 0.3198, loss_offset: 0.7520, loss_depth: 0.9450, loss_size: 0.9793, loss_rotsin: 0.3621, loss_centerness: 0.5819, loss_velo: 0.0630, loss_dir: 0.5404, loss_attr: 0.5062, loss: 5.0498, grad_norm: 6.4881
2021-08-10 08:12:33,595 - mmdet - INFO - Epoch [4][1300/2217] lr: 8.000e-03, eta: 11:55:23, time: 2.316, data_time: 0.057, memory: 28746, loss_cls: 0.3214, loss_offset: 0.7520, loss_depth: 0.9513, loss_size: 0.9809, loss_rotsin: 0.3582, loss_centerness: 0.5819, loss_velo: 0.0628, loss_dir: 0.5348, loss_attr: 0.5136, loss: 5.0570, grad_norm: 6.3202
2021-08-10 08:14:32,053 - mmdet - INFO - Epoch [4][1350/2217] lr: 8.000e-03, eta: 11:53:36, time: 2.369, data_time: 0.120, memory: 28746, loss_cls: 0.3241, loss_offset: 0.7613, loss_depth: 0.9776, loss_size: 0.9932, loss_rotsin: 0.3587, loss_centerness: 0.5818, loss_velo: 0.0608, loss_dir: 0.5372, loss_attr: 0.5169, loss: 5.1115, grad_norm: 6.7983
2021-08-10 08:16:27,437 - mmdet - INFO - Epoch [4][1400/2217] lr: 8.000e-03, eta: 11:51:42, time: 2.308, data_time: 0.055, memory: 28746, loss_cls: 0.3182, loss_offset: 0.7460, loss_depth: 0.9680, loss_size: 0.9858, loss_rotsin: 0.3534, loss_centerness: 0.5816, loss_velo: 0.0616, loss_dir: 0.5238, loss_attr: 0.4970, loss: 5.0354, grad_norm: 6.5990
2021-08-10 08:18:23,364 - mmdet - INFO - Epoch [4][1450/2217] lr: 8.000e-03, eta: 11:49:49, time: 2.318, data_time: 0.052, memory: 28746, loss_cls: 0.3251, loss_offset: 0.7555, loss_depth: 0.9836, loss_size: 0.9830, loss_rotsin: 0.3593, loss_centerness: 0.5818, loss_velo: 0.0623, loss_dir: 0.5309, loss_attr: 0.5011, loss: 5.0825, grad_norm: 6.6675
2021-08-10 08:20:18,663 - mmdet - INFO - Epoch [4][1500/2217] lr: 8.000e-03, eta: 11:47:54, time: 2.306, data_time: 0.054, memory: 28746, loss_cls: 0.3235, loss_offset: 0.7495, loss_depth: 1.0701, loss_size: 0.9949, loss_rotsin: 0.3545, loss_centerness: 0.5816, loss_velo: 0.0617, loss_dir: 0.5271, loss_attr: 0.5023, loss: 5.1652, grad_norm: 8.1085
2021-08-10 08:22:14,533 - mmdet - INFO - Epoch [4][1550/2217] lr: 8.000e-03, eta: 11:46:01, time: 2.318, data_time: 0.054, memory: 28746, loss_cls: 0.3187, loss_offset: 0.7439, loss_depth: 0.9092, loss_size: 0.9781, loss_rotsin: 0.3499, loss_centerness: 0.5816, loss_velo: 0.0634, loss_dir: 0.5280, loss_attr: 0.5255, loss: 4.9984, grad_norm: 5.7447
2021-08-10 08:24:10,441 - mmdet - INFO - Epoch [4][1600/2217] lr: 8.000e-03, eta: 11:44:07, time: 2.318, data_time: 0.056, memory: 28746, loss_cls: 0.3242, loss_offset: 0.7462, loss_depth: 0.9726, loss_size: 0.9769, loss_rotsin: 0.3533, loss_centerness: 0.5822, loss_velo: 0.0628, loss_dir: 0.5296, loss_attr: 0.5304, loss: 5.0781, grad_norm: 6.9411
2021-08-10 08:26:06,270 - mmdet - INFO - Epoch [4][1650/2217] lr: 8.000e-03, eta: 11:42:14, time: 2.317, data_time: 0.052, memory: 28746, loss_cls: 0.3198, loss_offset: 0.7567, loss_depth: 0.9415, loss_size: 0.9632, loss_rotsin: 0.3549, loss_centerness: 0.5819, loss_velo: 0.0597, loss_dir: 0.5388, loss_attr: 0.5034, loss: 5.0199, grad_norm: 6.6137
2021-08-10 08:28:02,255 - mmdet - INFO - Epoch [4][1700/2217] lr: 8.000e-03, eta: 11:40:21, time: 2.320, data_time: 0.061, memory: 28746, loss_cls: 0.3192, loss_offset: 0.7474, loss_depth: 0.9081, loss_size: 0.9340, loss_rotsin: 0.3582, loss_centerness: 0.5816, loss_velo: 0.0611, loss_dir: 0.5348, loss_attr: 0.5007, loss: 4.9452, grad_norm: 5.8687
2021-08-10 08:29:57,249 - mmdet - INFO - Epoch [4][1750/2217] lr: 8.000e-03, eta: 11:38:25, time: 2.300, data_time: 0.048, memory: 28746, loss_cls: 0.3211, loss_offset: 0.7532, loss_depth: 0.9851, loss_size: 0.9812, loss_rotsin: 0.3574, loss_centerness: 0.5818, loss_velo: 0.0614, loss_dir: 0.5288, loss_attr: 0.5141, loss: 5.0841, grad_norm: 6.9756
2021-08-10 08:31:53,830 - mmdet - INFO - Epoch [4][1800/2217] lr: 8.000e-03, eta: 11:36:33, time: 2.332, data_time: 0.054, memory: 28746, loss_cls: 0.3192, loss_offset: 0.7424, loss_depth: 1.0038, loss_size: 0.9852, loss_rotsin: 0.3458, loss_centerness: 0.5817, loss_velo: 0.0609, loss_dir: 0.5252, loss_attr: 0.5089, loss: 5.0732, grad_norm: 6.9732
2021-08-10 08:33:50,367 - mmdet - INFO - Epoch [4][1850/2217] lr: 8.000e-03, eta: 11:34:41, time: 2.331, data_time: 0.061, memory: 28746, loss_cls: 0.3133, loss_offset: 0.7435, loss_depth: 0.9894, loss_size: 0.9524, loss_rotsin: 0.3553, loss_centerness: 0.5815, loss_velo: 0.0595, loss_dir: 0.5255, loss_attr: 0.4936, loss: 5.0140, grad_norm: 7.1361
2021-08-10 08:35:47,111 - mmdet - INFO - Epoch [4][1900/2217] lr: 8.000e-03, eta: 11:32:50, time: 2.335, data_time: 0.058, memory: 28746, loss_cls: 0.3172, loss_offset: 0.7452, loss_depth: 0.9608, loss_size: 0.9544, loss_rotsin: 0.3537, loss_centerness: 0.5811, loss_velo: 0.0596, loss_dir: 0.5294, loss_attr: 0.4918, loss: 4.9932, grad_norm: 6.8161
2021-08-10 08:37:43,511 - mmdet - INFO - Epoch [4][1950/2217] lr: 8.000e-03, eta: 11:30:57, time: 2.328, data_time: 0.057, memory: 28746, loss_cls: 0.3139, loss_offset: 0.7397, loss_depth: 0.9002, loss_size: 0.9485, loss_rotsin: 0.3493, loss_centerness: 0.5814, loss_velo: 0.0602, loss_dir: 0.5258, loss_attr: 0.4832, loss: 4.9022, grad_norm: 6.0115
2021-08-10 08:39:40,555 - mmdet - INFO - Epoch [4][2000/2217] lr: 8.000e-03, eta: 11:29:06, time: 2.341, data_time: 0.062, memory: 28746, loss_cls: 0.3137, loss_offset: 0.7422, loss_depth: 0.9720, loss_size: 0.9247, loss_rotsin: 0.3506, loss_centerness: 0.5817, loss_velo: 0.0597, loss_dir: 0.5258, loss_attr: 0.4838, loss: 4.9541, grad_norm: 7.0862
2021-08-10 08:41:38,429 - mmdet - INFO - Epoch [4][2050/2217] lr: 8.000e-03, eta: 11:27:16, time: 2.357, data_time: 0.090, memory: 28746, loss_cls: 0.3205, loss_offset: 0.7430, loss_depth: 0.9584, loss_size: 0.9588, loss_rotsin: 0.3433, loss_centerness: 0.5818, loss_velo: 0.0596, loss_dir: 0.5216, loss_attr: 0.5085, loss: 4.9954, grad_norm: 6.8512
2021-08-10 08:43:34,593 - mmdet - INFO - Epoch [4][2100/2217] lr: 8.000e-03, eta: 11:25:23, time: 2.323, data_time: 0.061, memory: 28746, loss_cls: 0.3123, loss_offset: 0.7395, loss_depth: 0.9705, loss_size: 0.9731, loss_rotsin: 0.3492, loss_centerness: 0.5816, loss_velo: 0.0594, loss_dir: 0.5225, loss_attr: 0.4940, loss: 5.0020, grad_norm: 7.2223
2021-08-10 08:45:30,765 - mmdet - INFO - Epoch [4][2150/2217] lr: 8.000e-03, eta: 11:23:30, time: 2.323, data_time: 0.052, memory: 28746, loss_cls: 0.3156, loss_offset: 0.7413, loss_depth: 0.9241, loss_size: 0.9662, loss_rotsin: 0.3533, loss_centerness: 0.5812, loss_velo: 0.0637, loss_dir: 0.5220, loss_attr: 0.5002, loss: 4.9676, grad_norm: 6.1434
2021-08-10 08:47:26,080 - mmdet - INFO - Epoch [4][2200/2217] lr: 8.000e-03, eta: 11:21:35, time: 2.306, data_time: 0.055, memory: 28746, loss_cls: 0.3138, loss_offset: 0.7394, loss_depth: 0.9135, loss_size: 0.9368, loss_rotsin: 0.3452, loss_centerness: 0.5812, loss_velo: 0.0631, loss_dir: 0.5228, loss_attr: 0.4911, loss: 4.9068, grad_norm: 6.2317
2021-08-10 08:48:05,643 - mmdet - INFO - Saving checkpoint at 4 epochs
2021-08-10 08:50:08,158 - mmdet - INFO - Epoch [5][50/2217] lr: 8.000e-03, eta: 11:17:55, time: 2.426, data_time: 0.199, memory: 28746, loss_cls: 0.3143, loss_offset: 0.7396, loss_depth: 0.8969, loss_size: 0.9404, loss_rotsin: 0.3474, loss_centerness: 0.5817, loss_velo: 0.0594, loss_dir: 0.5186, loss_attr: 0.4642, loss: 4.8625, grad_norm: 6.2291
2021-08-10 08:52:03,087 - mmdet - INFO - Epoch [5][100/2217] lr: 8.000e-03, eta: 11:16:00, time: 2.299, data_time: 0.055, memory: 28746, loss_cls: 0.3138, loss_offset: 0.7337, loss_depth: 0.8918, loss_size: 0.9336, loss_rotsin: 0.3510, loss_centerness: 0.5810, loss_velo: 0.0622, loss_dir: 0.5214, loss_attr: 0.4720, loss: 4.8605, grad_norm: 6.2241
2021-08-10 08:53:57,254 - mmdet - INFO - Epoch [5][150/2217] lr: 8.000e-03, eta: 11:14:04, time: 2.283, data_time: 0.048, memory: 28746, loss_cls: 0.3098, loss_offset: 0.7266, loss_depth: 0.8839, loss_size: 0.9091, loss_rotsin: 0.3404, loss_centerness: 0.5806, loss_velo: 0.0615, loss_dir: 0.5099, loss_attr: 0.4673, loss: 4.7893, grad_norm: 6.1116
2021-08-10 08:55:52,631 - mmdet - INFO - Epoch [5][200/2217] lr: 8.000e-03, eta: 11:12:09, time: 2.307, data_time: 0.054, memory: 28746, loss_cls: 0.3125, loss_offset: 0.7324, loss_depth: 0.8671, loss_size: 0.9036, loss_rotsin: 0.3414, loss_centerness: 0.5816, loss_velo: 0.0603, loss_dir: 0.5179, loss_attr: 0.4701, loss: 4.7870, grad_norm: 6.1154
2021-08-10 08:57:48,316 - mmdet - INFO - Epoch [5][250/2217] lr: 8.000e-03, eta: 11:10:16, time: 2.314, data_time: 0.051, memory: 28746, loss_cls: 0.3092, loss_offset: 0.7329, loss_depth: 0.9314, loss_size: 0.9158, loss_rotsin: 0.3360, loss_centerness: 0.5813, loss_velo: 0.0603, loss_dir: 0.5164, loss_attr: 0.4764, loss: 4.8597, grad_norm: 7.2879
2021-08-10 08:59:43,361 - mmdet - INFO - Epoch [5][300/2217] lr: 8.000e-03, eta: 11:08:21, time: 2.301, data_time: 0.048, memory: 28746, loss_cls: 0.3143, loss_offset: 0.7282, loss_depth: 0.9363, loss_size: 0.9262, loss_rotsin: 0.3389, loss_centerness: 0.5806, loss_velo: 0.0619, loss_dir: 0.5155, loss_attr: 0.4677, loss: 4.8696, grad_norm: 7.0832
2021-08-10 09:01:38,177 - mmdet - INFO - Epoch [5][350/2217] lr: 8.000e-03, eta: 11:06:26, time: 2.296, data_time: 0.055, memory: 28746, loss_cls: 0.3112, loss_offset: 0.7256, loss_depth: 0.9274, loss_size: 0.9120, loss_rotsin: 0.3447, loss_centerness: 0.5808, loss_velo: 0.0617, loss_dir: 0.5121, loss_attr: 0.4629, loss: 4.8385, grad_norm: 6.9825
2021-08-10 09:03:32,593 - mmdet - INFO - Epoch [5][400/2217] lr: 8.000e-03, eta: 11:04:29, time: 2.288, data_time: 0.049, memory: 28746, loss_cls: 0.3137, loss_offset: 0.7342, loss_depth: 0.8906, loss_size: 0.9128, loss_rotsin: 0.3378, loss_centerness: 0.5811, loss_velo: 0.0617, loss_dir: 0.5127, loss_attr: 0.4796, loss: 4.8242, grad_norm: 6.1240
2021-08-10 09:05:27,361 - mmdet - INFO - Epoch [5][450/2217] lr: 8.000e-03, eta: 11:02:34, time: 2.295, data_time: 0.045, memory: 28746, loss_cls: 0.3101, loss_offset: 0.7284, loss_depth: 0.9450, loss_size: 0.9002, loss_rotsin: 0.3379, loss_centerness: 0.5808, loss_velo: 0.0609, loss_dir: 0.5130, loss_attr: 0.4743, loss: 4.8506, grad_norm: 7.1480
2021-08-10 09:07:21,837 - mmdet - INFO - Epoch [5][500/2217] lr: 8.000e-03, eta: 11:00:38, time: 2.290, data_time: 0.047, memory: 28746, loss_cls: 0.3143, loss_offset: 0.7310, loss_depth: 0.9298, loss_size: 0.9226, loss_rotsin: 0.3402, loss_centerness: 0.5809, loss_velo: 0.0598, loss_dir: 0.5165, loss_attr: 0.4674, loss: 4.8624, grad_norm: 6.7776
2021-08-10 09:09:17,118 - mmdet - INFO - Epoch [5][550/2217] lr: 8.000e-03, eta: 10:58:44, time: 2.306, data_time: 0.055, memory: 28746, loss_cls: 0.3106, loss_offset: 0.7275, loss_depth: 0.9220, loss_size: 0.9170, loss_rotsin: 0.3382, loss_centerness: 0.5805, loss_velo: 0.0611, loss_dir: 0.5118, loss_attr: 0.4668, loss: 4.8356, grad_norm: 6.9489
2021-08-10 09:11:12,471 - mmdet - INFO - Epoch [5][600/2217] lr: 8.000e-03, eta: 10:56:49, time: 2.307, data_time: 0.050, memory: 28746, loss_cls: 0.3068, loss_offset: 0.7291, loss_depth: 0.9064, loss_size: 0.9203, loss_rotsin: 0.3339, loss_centerness: 0.5810, loss_velo: 0.0598, loss_dir: 0.5177, loss_attr: 0.4791, loss: 4.8341, grad_norm: 6.7721
2021-08-10 09:13:08,027 - mmdet - INFO - Epoch [5][650/2217] lr: 8.000e-03, eta: 10:54:55, time: 2.311, data_time: 0.053, memory: 28746, loss_cls: 0.3106, loss_offset: 0.7181, loss_depth: 0.9131, loss_size: 0.9200, loss_rotsin: 0.3331, loss_centerness: 0.5804, loss_velo: 0.0587, loss_dir: 0.5153, loss_attr: 0.4759, loss: 4.8252, grad_norm: 6.6637
2021-08-10 09:15:03,815 - mmdet - INFO - Epoch [5][700/2217] lr: 8.000e-03, eta: 10:53:02, time: 2.316, data_time: 0.050, memory: 28746, loss_cls: 0.3093, loss_offset: 0.7175, loss_depth: 0.9609, loss_size: 0.9253, loss_rotsin: 0.3298, loss_centerness: 0.5803, loss_velo: 0.0626, loss_dir: 0.5063, loss_attr: 0.4654, loss: 4.8574, grad_norm: 7.7569
2021-08-10 09:17:00,630 - mmdet - INFO - Epoch [5][750/2217] lr: 8.000e-03, eta: 10:51:10, time: 2.336, data_time: 0.051, memory: 28746, loss_cls: 0.3110, loss_offset: 0.7283, loss_depth: 0.9891, loss_size: 0.9220, loss_rotsin: 0.3424, loss_centerness: 0.5804, loss_velo: 0.0593, loss_dir: 0.5102, loss_attr: 0.4607, loss: 4.9035, grad_norm: 7.7078
2021-08-10 09:18:57,105 - mmdet - INFO - Epoch [5][800/2217] lr: 8.000e-03, eta: 10:49:18, time: 2.329, data_time: 0.056, memory: 28746, loss_cls: 0.3105, loss_offset: 0.7246, loss_depth: 0.9086, loss_size: 0.8994, loss_rotsin: 0.3325, loss_centerness: 0.5806, loss_velo: 0.0582, loss_dir: 0.5132, loss_attr: 0.4493, loss: 4.7768, grad_norm: 6.7520
2021-08-10 09:20:52,884 - mmdet - INFO - Epoch [5][850/2217] lr: 8.000e-03, eta: 10:47:24, time: 2.315, data_time: 0.050, memory: 28746, loss_cls: 0.3078, loss_offset: 0.7174, loss_depth: 0.8886, loss_size: 0.9069, loss_rotsin: 0.3313, loss_centerness: 0.5805, loss_velo: 0.0623, loss_dir: 0.5059, loss_attr: 0.4615, loss: 4.7621, grad_norm: 6.2540
2021-08-10 09:22:49,320 - mmdet - INFO - Epoch [5][900/2217] lr: 8.000e-03, eta: 10:45:31, time: 2.329, data_time: 0.053, memory: 28746, loss_cls: 0.3120, loss_offset: 0.7197, loss_depth: 0.9042, loss_size: 0.9236, loss_rotsin: 0.3357, loss_centerness: 0.5806, loss_velo: 0.0597, loss_dir: 0.5051, loss_attr: 0.4659, loss: 4.8064, grad_norm: 7.1382
2021-08-10 09:24:45,644 - mmdet - INFO - Epoch [5][950/2217] lr: 8.000e-03, eta: 10:43:38, time: 2.327, data_time: 0.053, memory: 28746, loss_cls: 0.3119, loss_offset: 0.7287, loss_depth: 0.9525, loss_size: 0.9243, loss_rotsin: 0.3375, loss_centerness: 0.5811, loss_velo: 0.0632, loss_dir: 0.5120, loss_attr: 0.4593, loss: 4.8706, grad_norm: 7.4904
2021-08-10 09:26:45,039 - mmdet - INFO - Epoch [5][1000/2217] lr: 8.000e-03, eta: 10:41:51, time: 2.388, data_time: 0.129, memory: 28746, loss_cls: 0.3067, loss_offset: 0.7202, loss_depth: 0.9258, loss_size: 0.9496, loss_rotsin: 0.3292, loss_centerness: 0.5802, loss_velo: 0.0616, loss_dir: 0.5001, loss_attr: 0.4546, loss: 4.8280, grad_norm: 7.1360
2021-08-10 09:28:46,807 - mmdet - INFO - Epoch [5][1050/2217] lr: 8.000e-03, eta: 10:40:07, time: 2.435, data_time: 0.161, memory: 28746, loss_cls: 0.3094, loss_offset: 0.7235, loss_depth: 0.9984, loss_size: 0.9307, loss_rotsin: 0.3358, loss_centerness: 0.5806, loss_velo: 0.0623, loss_dir: 0.5096, loss_attr: 0.4725, loss: 4.9228, grad_norm: 7.6747
2021-08-10 09:30:45,963 - mmdet - INFO - Epoch [5][1100/2217] lr: 8.000e-03, eta: 10:38:19, time: 2.383, data_time: 0.120, memory: 28746, loss_cls: 0.3052, loss_offset: 0.7231, loss_depth: 0.9022, loss_size: 0.8955, loss_rotsin: 0.3285, loss_centerness: 0.5810, loss_velo: 0.0612, loss_dir: 0.5052, loss_attr: 0.4700, loss: 4.7719, grad_norm: 6.2780
2021-08-10 09:32:45,545 - mmdet - INFO - Epoch [5][1150/2217] lr: 8.000e-03, eta: 10:36:31, time: 2.392, data_time: 0.118, memory: 28746, loss_cls: 0.3048, loss_offset: 0.7152, loss_depth: 0.9149, loss_size: 0.8805, loss_rotsin: 0.3203, loss_centerness: 0.5801, loss_velo: 0.0643, loss_dir: 0.5038, loss_attr: 0.4333, loss: 4.7173, grad_norm: 6.2492
2021-08-10 09:34:42,228 - mmdet - INFO - Epoch [5][1200/2217] lr: 8.000e-03, eta: 10:34:38, time: 2.334, data_time: 0.055, memory: 28746, loss_cls: 0.3050, loss_offset: 0.7144, loss_depth: 0.8892, loss_size: 0.8930, loss_rotsin: 0.3330, loss_centerness: 0.5803, loss_velo: 0.0612, loss_dir: 0.5092, loss_attr: 0.4522, loss: 4.7375, grad_norm: 6.5464
2021-08-10 09:36:38,286 - mmdet - INFO - Epoch [5][1250/2217] lr: 8.000e-03, eta: 10:32:45, time: 2.321, data_time: 0.053, memory: 28746, loss_cls: 0.3103, loss_offset: 0.7221, loss_depth: 1.0547, loss_size: 0.9281, loss_rotsin: 0.3335, loss_centerness: 0.5808, loss_velo: 0.0622, loss_dir: 0.5098, loss_attr: 0.4621, loss: 4.9636, grad_norm: 8.0891
2021-08-10 09:38:34,537 - mmdet - INFO - Epoch [5][1300/2217] lr: 8.000e-03, eta: 10:30:51, time: 2.325, data_time: 0.053, memory: 28746, loss_cls: 0.3047, loss_offset: 0.7200, loss_depth: 0.9040, loss_size: 0.9194, loss_rotsin: 0.3317, loss_centerness: 0.5800, loss_velo: 0.0618, loss_dir: 0.5069, loss_attr: 0.4493, loss: 4.7777, grad_norm: 6.1943
2021-08-10 09:40:30,418 - mmdet - INFO - Epoch [5][1350/2217] lr: 8.000e-03, eta: 10:28:57, time: 2.318, data_time: 0.055, memory: 28746, loss_cls: 0.3040, loss_offset: 0.7179, loss_depth: 0.8587, loss_size: 0.8939, loss_rotsin: 0.3210, loss_centerness: 0.5802, loss_velo: 0.0602, loss_dir: 0.4962, loss_attr: 0.4494, loss: 4.6815, grad_norm: 5.9851
2021-08-10 09:42:26,482 - mmdet - INFO - Epoch [5][1400/2217] lr: 8.000e-03, eta: 10:27:04, time: 2.321, data_time: 0.055, memory: 28746, loss_cls: 0.3033, loss_offset: 0.7114, loss_depth: 0.9966, loss_size: 0.8881, loss_rotsin: 0.3230, loss_centerness: 0.5796, loss_velo: 0.0617, loss_dir: 0.4979, loss_attr: 0.4499, loss: 4.8115, grad_norm: 7.9972
2021-08-10 09:44:22,861 - mmdet - INFO - Epoch [5][1450/2217] lr: 8.000e-03, eta: 10:25:11, time: 2.328, data_time: 0.058, memory: 28746, loss_cls: 0.3076, loss_offset: 0.7153, loss_depth: 0.9607, loss_size: 0.8860, loss_rotsin: 0.3222, loss_centerness: 0.5801, loss_velo: 0.0614, loss_dir: 0.5009, loss_attr: 0.4563, loss: 4.7904, grad_norm: 6.9082
2021-08-10 09:46:18,588 - mmdet - INFO - Epoch [5][1500/2217] lr: 8.000e-03, eta: 10:23:16, time: 2.314, data_time: 0.055, memory: 28746, loss_cls: 0.3016, loss_offset: 0.7057, loss_depth: 0.8592, loss_size: 0.8720, loss_rotsin: 0.3224, loss_centerness: 0.5798, loss_velo: 0.0598, loss_dir: 0.4935, loss_attr: 0.4596, loss: 4.6537, grad_norm: 6.4593
2021-08-10 09:48:14,661 - mmdet - INFO - Epoch [5][1550/2217] lr: 8.000e-03, eta: 10:21:22, time: 2.321, data_time: 0.056, memory: 28746, loss_cls: 0.3069, loss_offset: 0.7108, loss_depth: 0.8943, loss_size: 0.9362, loss_rotsin: 0.3239, loss_centerness: 0.5800, loss_velo: 0.0639, loss_dir: 0.4963, loss_attr: 0.4536, loss: 4.7659, grad_norm: 6.9446
2021-08-10 09:50:10,076 - mmdet - INFO - Epoch [5][1600/2217] lr: 8.000e-03, eta: 10:19:28, time: 2.308, data_time: 0.058, memory: 28746, loss_cls: 0.3077, loss_offset: 0.7137, loss_depth: 0.9219, loss_size: 0.9081, loss_rotsin: 0.3290, loss_centerness: 0.5804, loss_velo: 0.0637, loss_dir: 0.5047, loss_attr: 0.4658, loss: 4.7949, grad_norm: 7.1090
2021-08-10 09:52:04,051 - mmdet - INFO - Epoch [5][1650/2217] lr: 8.000e-03, eta: 10:17:31, time: 2.279, data_time: 0.056, memory: 28746, loss_cls: 0.3069, loss_offset: 0.7182, loss_depth: 0.9451, loss_size: 0.9254, loss_rotsin: 0.3292, loss_centerness: 0.5803, loss_velo: 0.0589, loss_dir: 0.5038, loss_attr: 0.4362, loss: 4.8040, grad_norm: 7.2891
2021-08-10 09:53:59,366 - mmdet - INFO - Epoch [5][1700/2217] lr: 8.000e-03, eta: 10:15:36, time: 2.306, data_time: 0.056, memory: 28746, loss_cls: 0.3011, loss_offset: 0.7095, loss_depth: 0.9591, loss_size: 0.8858, loss_rotsin: 0.3218, loss_centerness: 0.5801, loss_velo: 0.0616, loss_dir: 0.5011, loss_attr: 0.4477, loss: 4.7678, grad_norm: 7.4097
2021-08-10 09:55:55,148 - mmdet - INFO - Epoch [5][1750/2217] lr: 8.000e-03, eta: 10:13:42, time: 2.316, data_time: 0.059, memory: 28746, loss_cls: 0.3035, loss_offset: 0.7102, loss_depth: 0.9048, loss_size: 0.8850, loss_rotsin: 0.3220, loss_centerness: 0.5800, loss_velo: 0.0599, loss_dir: 0.5010, loss_attr: 0.4560, loss: 4.7224, grad_norm: 6.8641
2021-08-10 09:57:51,185 - mmdet - INFO - Epoch [5][1800/2217] lr: 8.000e-03, eta: 10:11:48, time: 2.321, data_time: 0.055, memory: 28746, loss_cls: 0.3015, loss_offset: 0.7124, loss_depth: 0.9686, loss_size: 0.8731, loss_rotsin: 0.3233, loss_centerness: 0.5803, loss_velo: 0.0623, loss_dir: 0.4924, loss_attr: 0.4507, loss: 4.7647, grad_norm: 7.9219
2021-08-10 09:59:47,100 - mmdet - INFO - Epoch [5][1850/2217] lr: 8.000e-03, eta: 10:09:54, time: 2.318, data_time: 0.053, memory: 28746, loss_cls: 0.3025, loss_offset: 0.7096, loss_depth: 0.8893, loss_size: 0.9102, loss_rotsin: 0.3236, loss_centerness: 0.5802, loss_velo: 0.0604, loss_dir: 0.4956, loss_attr: 0.4309, loss: 4.7022, grad_norm: 6.9010
2021-08-10 10:01:43,301 - mmdet - INFO - Epoch [5][1900/2217] lr: 8.000e-03, eta: 10:08:00, time: 2.324, data_time: 0.057, memory: 28746, loss_cls: 0.3044, loss_offset: 0.7053, loss_depth: 0.8729, loss_size: 0.8871, loss_rotsin: 0.3200, loss_centerness: 0.5799, loss_velo: 0.0636, loss_dir: 0.5011, loss_attr: 0.4474, loss: 4.6816, grad_norm: 6.2294
2021-08-10 10:03:39,001 - mmdet - INFO - Epoch [5][1950/2217] lr: 8.000e-03, eta: 10:06:05, time: 2.314, data_time: 0.060, memory: 28746, loss_cls: 0.3049, loss_offset: 0.7172, loss_depth: 1.0130, loss_size: 0.8834, loss_rotsin: 0.3280, loss_centerness: 0.5801, loss_velo: 0.0614, loss_dir: 0.5018, loss_attr: 0.4452, loss: 4.8351, grad_norm: 8.3136
2021-08-10 10:05:34,432 - mmdet - INFO - Epoch [5][2000/2217] lr: 8.000e-03, eta: 10:04:11, time: 2.309, data_time: 0.056, memory: 28746, loss_cls: 0.3022, loss_offset: 0.7123, loss_depth: 0.8736, loss_size: 0.8797, loss_rotsin: 0.3249, loss_centerness: 0.5800, loss_velo: 0.0588, loss_dir: 0.4974, loss_attr: 0.4294, loss: 4.6584, grad_norm: 6.5257
2021-08-10 10:07:29,401 - mmdet - INFO - Epoch [5][2050/2217] lr: 8.000e-03, eta: 10:02:15, time: 2.300, data_time: 0.054, memory: 28746, loss_cls: 0.3035, loss_offset: 0.7061, loss_depth: 0.8839, loss_size: 0.8800, loss_rotsin: 0.3161, loss_centerness: 0.5800, loss_velo: 0.0626, loss_dir: 0.4910, loss_attr: 0.4523, loss: 4.6757, grad_norm: 6.3132
2021-08-10 10:09:24,966 - mmdet - INFO - Epoch [5][2100/2217] lr: 8.000e-03, eta: 10:00:21, time: 2.311, data_time: 0.067, memory: 28746, loss_cls: 0.2990, loss_offset: 0.7052, loss_depth: 0.8837, loss_size: 0.8890, loss_rotsin: 0.3244, loss_centerness: 0.5798, loss_velo: 0.0600, loss_dir: 0.4946, loss_attr: 0.4534, loss: 4.6891, grad_norm: 6.7664
2021-08-10 10:11:19,989 - mmdet - INFO - Epoch [5][2150/2217] lr: 8.000e-03, eta: 9:58:25, time: 2.301, data_time: 0.055, memory: 28746, loss_cls: 0.3010, loss_offset: 0.7130, loss_depth: 0.8814, loss_size: 0.8746, loss_rotsin: 0.3148, loss_centerness: 0.5798, loss_velo: 0.0597, loss_dir: 0.5019, loss_attr: 0.4404, loss: 4.6666, grad_norm: 6.8798
2021-08-10 10:13:14,496 - mmdet - INFO - Epoch [5][2200/2217] lr: 8.000e-03, eta: 9:56:29, time: 2.290, data_time: 0.057, memory: 28746, loss_cls: 0.2972, loss_offset: 0.6962, loss_depth: 0.8706, loss_size: 0.8718, loss_rotsin: 0.3151, loss_centerness: 0.5795, loss_velo: 0.0582, loss_dir: 0.4925, loss_attr: 0.4272, loss: 4.6084, grad_norm: 6.3378
2021-08-10 10:13:54,573 - mmdet - INFO - Saving checkpoint at 5 epochs
2021-08-10 10:15:57,505 - mmdet - INFO - Epoch [6][50/2217] lr: 8.000e-03, eta: 9:53:09, time: 2.434, data_time: 0.197, memory: 28746, loss_cls: 0.2996, loss_offset: 0.7013, loss_depth: 0.8798, loss_size: 0.8603, loss_rotsin: 0.3158, loss_centerness: 0.5794, loss_velo: 0.0589, loss_dir: 0.4929, loss_attr: 0.4127, loss: 4.6007, grad_norm: 7.1740
2021-08-10 10:17:51,327 - mmdet - INFO - Epoch [6][100/2217] lr: 8.000e-03, eta: 9:51:13, time: 2.276, data_time: 0.050, memory: 28746, loss_cls: 0.2963, loss_offset: 0.6981, loss_depth: 0.8228, loss_size: 0.8666, loss_rotsin: 0.3127, loss_centerness: 0.5793, loss_velo: 0.0610, loss_dir: 0.4831, loss_attr: 0.4211, loss: 4.5410, grad_norm: 6.0701
2021-08-10 10:19:45,652 - mmdet - INFO - Epoch [6][150/2217] lr: 8.000e-03, eta: 9:49:17, time: 2.286, data_time: 0.055, memory: 28746, loss_cls: 0.2995, loss_offset: 0.7121, loss_depth: 0.8338, loss_size: 0.8590, loss_rotsin: 0.3153, loss_centerness: 0.5799, loss_velo: 0.0595, loss_dir: 0.4831, loss_attr: 0.4024, loss: 4.5447, grad_norm: 6.0607
2021-08-10 10:21:39,974 - mmdet - INFO - Epoch [6][200/2217] lr: 8.000e-03, eta: 9:47:21, time: 2.286, data_time: 0.054, memory: 28746, loss_cls: 0.2947, loss_offset: 0.6856, loss_depth: 0.8359, loss_size: 0.8405, loss_rotsin: 0.3047, loss_centerness: 0.5786, loss_velo: 0.0627, loss_dir: 0.4735, loss_attr: 0.4141, loss: 4.4904, grad_norm: 6.3041
2021-08-10 10:23:34,603 - mmdet - INFO - Epoch [6][250/2217] lr: 8.000e-03, eta: 9:45:25, time: 2.293, data_time: 0.053, memory: 28746, loss_cls: 0.2973, loss_offset: 0.6982, loss_depth: 0.8166, loss_size: 0.8641, loss_rotsin: 0.3151, loss_centerness: 0.5792, loss_velo: 0.0582, loss_dir: 0.4832, loss_attr: 0.4097, loss: 4.5216, grad_norm: 6.4375
2021-08-10 10:25:28,934 - mmdet - INFO - Epoch [6][300/2217] lr: 8.000e-03, eta: 9:43:29, time: 2.286, data_time: 0.050, memory: 28746, loss_cls: 0.2965, loss_offset: 0.6980, loss_depth: 0.8639, loss_size: 0.8374, loss_rotsin: 0.3107, loss_centerness: 0.5795, loss_velo: 0.0636, loss_dir: 0.4831, loss_attr: 0.4077, loss: 4.5405, grad_norm: 6.9948
2021-08-10 10:27:24,089 - mmdet - INFO - Epoch [6][350/2217] lr: 8.000e-03, eta: 9:41:34, time: 2.303, data_time: 0.048, memory: 28746, loss_cls: 0.2966, loss_offset: 0.6963, loss_depth: 0.8579, loss_size: 0.8423, loss_rotsin: 0.3210, loss_centerness: 0.5794, loss_velo: 0.0612, loss_dir: 0.4901, loss_attr: 0.4132, loss: 4.5581, grad_norm: 6.7177
2021-08-10 10:29:19,932 - mmdet - INFO - Epoch [6][400/2217] lr: 8.000e-03, eta: 9:39:40, time: 2.317, data_time: 0.049, memory: 28746, loss_cls: 0.2967, loss_offset: 0.7010, loss_depth: 0.9263, loss_size: 0.8663, loss_rotsin: 0.3128, loss_centerness: 0.5795, loss_velo: 0.0588, loss_dir: 0.4845, loss_attr: 0.4118, loss: 4.6377, grad_norm: 7.7706
2021-08-10 10:31:14,534 - mmdet - INFO - Epoch [6][450/2217] lr: 8.000e-03, eta: 9:37:45, time: 2.292, data_time: 0.053, memory: 28746, loss_cls: 0.2956, loss_offset: 0.6970, loss_depth: 0.9097, loss_size: 0.8660, loss_rotsin: 0.3059, loss_centerness: 0.5795, loss_velo: 0.0605, loss_dir: 0.4866, loss_attr: 0.4168, loss: 4.6176, grad_norm: 7.0906
2021-08-10 10:33:08,991 - mmdet - INFO - Epoch [6][500/2217] lr: 8.000e-03, eta: 9:35:49, time: 2.289, data_time: 0.051, memory: 28746, loss_cls: 0.3008, loss_offset: 0.6962, loss_depth: 0.8392, loss_size: 0.8607, loss_rotsin: 0.3055, loss_centerness: 0.5789, loss_velo: 0.0598, loss_dir: 0.4785, loss_attr: 0.4104, loss: 4.5301, grad_norm: 6.2554
2021-08-10 10:35:04,788 - mmdet - INFO - Epoch [6][550/2217] lr: 8.000e-03, eta: 9:33:55, time: 2.316, data_time: 0.052, memory: 28746, loss_cls: 0.2981, loss_offset: 0.7024, loss_depth: 0.8350, loss_size: 0.8749, loss_rotsin: 0.3079, loss_centerness: 0.5797, loss_velo: 0.0592, loss_dir: 0.4854, loss_attr: 0.4313, loss: 4.5739, grad_norm: 6.2398
2021-08-10 10:36:59,856 - mmdet - INFO - Epoch [6][600/2217] lr: 8.000e-03, eta: 9:32:00, time: 2.301, data_time: 0.049, memory: 28746, loss_cls: 0.2922, loss_offset: 0.6860, loss_depth: 0.8416, loss_size: 0.8484, loss_rotsin: 0.3044, loss_centerness: 0.5788, loss_velo: 0.0581, loss_dir: 0.4778, loss_attr: 0.4034, loss: 4.4907, grad_norm: 6.7938
2021-08-10 10:38:54,499 - mmdet - INFO - Epoch [6][650/2217] lr: 8.000e-03, eta: 9:30:04, time: 2.293, data_time: 0.050, memory: 28746, loss_cls: 0.2973, loss_offset: 0.7051, loss_depth: 0.8547, loss_size: 0.8429, loss_rotsin: 0.3163, loss_centerness: 0.5796, loss_velo: 0.0602, loss_dir: 0.4938, loss_attr: 0.4181, loss: 4.5679, grad_norm: 6.5413
2021-08-10 10:40:50,107 - mmdet - INFO - Epoch [6][700/2217] lr: 8.000e-03, eta: 9:28:10, time: 2.312, data_time: 0.054, memory: 28746, loss_cls: 0.2946, loss_offset: 0.6919, loss_depth: 0.8681, loss_size: 0.8353, loss_rotsin: 0.3102, loss_centerness: 0.5791, loss_velo: 0.0596, loss_dir: 0.4834, loss_attr: 0.3945, loss: 4.5166, grad_norm: 7.0082
2021-08-10 10:42:45,198 - mmdet - INFO - Epoch [6][750/2217] lr: 8.000e-03, eta: 9:26:15, time: 2.302, data_time: 0.051, memory: 28746, loss_cls: 0.2946, loss_offset: 0.6958, loss_depth: 0.8892, loss_size: 0.8652, loss_rotsin: 0.3089, loss_centerness: 0.5794, loss_velo: 0.0619, loss_dir: 0.4867, loss_attr: 0.4121, loss: 4.5939, grad_norm: 6.8413
2021-08-10 10:44:40,613 - mmdet - INFO - Epoch [6][800/2217] lr: 8.000e-03, eta: 9:24:21, time: 2.308, data_time: 0.055, memory: 28746, loss_cls: 0.2974, loss_offset: 0.7013, loss_depth: 0.9078, loss_size: 0.8544, loss_rotsin: 0.3146, loss_centerness: 0.5797, loss_velo: 0.0597, loss_dir: 0.4881, loss_attr: 0.4132, loss: 4.6162, grad_norm: 7.2002
2021-08-10 10:46:35,267 - mmdet - INFO - Epoch [6][850/2217] lr: 8.000e-03, eta: 9:22:25, time: 2.293, data_time: 0.058, memory: 28746, loss_cls: 0.2966, loss_offset: 0.6920, loss_depth: 0.9003, loss_size: 0.8562, loss_rotsin: 0.3151, loss_centerness: 0.5795, loss_velo: 0.0602, loss_dir: 0.4891, loss_attr: 0.4125, loss: 4.6015, grad_norm: 7.5466
2021-08-10 10:48:31,150 - mmdet - INFO - Epoch [6][900/2217] lr: 8.000e-03, eta: 9:20:31, time: 2.318, data_time: 0.053, memory: 28746, loss_cls: 0.2995, loss_offset: 0.6981, loss_depth: 0.8760, loss_size: 0.8555, loss_rotsin: 0.3113, loss_centerness: 0.5795, loss_velo: 0.0620, loss_dir: 0.4831, loss_attr: 0.4294, loss: 4.5943, grad_norm: 7.0689
2021-08-10 10:50:27,152 - mmdet - INFO - Epoch [6][950/2217] lr: 8.000e-03, eta: 9:18:37, time: 2.320, data_time: 0.053, memory: 28746, loss_cls: 0.2954, loss_offset: 0.6980, loss_depth: 0.8535, loss_size: 0.8254, loss_rotsin: 0.3110, loss_centerness: 0.5792, loss_velo: 0.0601, loss_dir: 0.4847, loss_attr: 0.4125, loss: 4.5198, grad_norm: 6.7486
2021-08-10 10:52:23,397 - mmdet - INFO - Epoch [6][1000/2217] lr: 8.000e-03, eta: 9:16:44, time: 2.325, data_time: 0.058, memory: 28746, loss_cls: 0.2960, loss_offset: 0.6997, loss_depth: 0.8666, loss_size: 0.8517, loss_rotsin: 0.3101, loss_centerness: 0.5798, loss_velo: 0.0584, loss_dir: 0.4863, loss_attr: 0.4210, loss: 4.5696, grad_norm: 6.9462
2021-08-10 10:54:19,400 - mmdet - INFO - Epoch [6][1050/2217] lr: 8.000e-03, eta: 9:14:50, time: 2.320, data_time: 0.059, memory: 28746, loss_cls: 0.2959, loss_offset: 0.6931, loss_depth: 0.9513, loss_size: 0.8752, loss_rotsin: 0.3124, loss_centerness: 0.5796, loss_velo: 0.0615, loss_dir: 0.4835, loss_attr: 0.4296, loss: 4.6820, grad_norm: 7.6216
2021-08-10 10:56:15,606 - mmdet - INFO - Epoch [6][1100/2217] lr: 8.000e-03, eta: 9:12:56, time: 2.324, data_time: 0.056, memory: 28746, loss_cls: 0.2976, loss_offset: 0.6913, loss_depth: 0.8902, loss_size: 0.8601, loss_rotsin: 0.3090, loss_centerness: 0.5790, loss_velo: 0.0617, loss_dir: 0.4747, loss_attr: 0.4366, loss: 4.6002, grad_norm: 7.7556
2021-08-10 10:58:10,977 - mmdet - INFO - Epoch [6][1150/2217] lr: 8.000e-03, eta: 9:11:02, time: 2.308, data_time: 0.050, memory: 28746, loss_cls: 0.2926, loss_offset: 0.6896, loss_depth: 0.9800, loss_size: 0.8125, loss_rotsin: 0.3083, loss_centerness: 0.5793, loss_velo: 0.0590, loss_dir: 0.4850, loss_attr: 0.4040, loss: 4.6102, grad_norm: 7.8151
2021-08-10 11:00:06,048 - mmdet - INFO - Epoch [6][1200/2217] lr: 8.000e-03, eta: 9:09:07, time: 2.301, data_time: 0.057, memory: 28746, loss_cls: 0.2955, loss_offset: 0.6874, loss_depth: 0.8343, loss_size: 0.8395, loss_rotsin: 0.3049, loss_centerness: 0.5787, loss_velo: 0.0606, loss_dir: 0.4857, loss_attr: 0.4151, loss: 4.5018, grad_norm: 6.6155
2021-08-10 11:02:01,740 - mmdet - INFO - Epoch [6][1250/2217] lr: 8.000e-03, eta: 9:07:12, time: 2.314, data_time: 0.051, memory: 28746, loss_cls: 0.2929, loss_offset: 0.6869, loss_depth: 0.8206, loss_size: 0.8305, loss_rotsin: 0.3133, loss_centerness: 0.5790, loss_velo: 0.0592, loss_dir: 0.4796, loss_attr: 0.4048, loss: 4.4670, grad_norm: 6.2577
2021-08-10 11:03:58,341 - mmdet - INFO - Epoch [6][1300/2217] lr: 8.000e-03, eta: 9:05:19, time: 2.332, data_time: 0.055, memory: 28746, loss_cls: 0.2996, loss_offset: 0.6960, loss_depth: 0.9233, loss_size: 0.8849, loss_rotsin: 0.3090, loss_centerness: 0.5792, loss_velo: 0.0578, loss_dir: 0.4820, loss_attr: 0.4245, loss: 4.6563, grad_norm: 7.7638
2021-08-10 11:05:54,805 - mmdet - INFO - Epoch [6][1350/2217] lr: 8.000e-03, eta: 9:03:26, time: 2.329, data_time: 0.056, memory: 28746, loss_cls: 0.2966, loss_offset: 0.6932, loss_depth: 0.8627, loss_size: 0.8533, loss_rotsin: 0.3050, loss_centerness: 0.5794, loss_velo: 0.0603, loss_dir: 0.4796, loss_attr: 0.4066, loss: 4.5367, grad_norm: 6.6149
2021-08-10 11:07:51,402 - mmdet - INFO - Epoch [6][1400/2217] lr: 8.000e-03, eta: 9:01:32, time: 2.332, data_time: 0.057, memory: 28746, loss_cls: 0.2953, loss_offset: 0.6973, loss_depth: 0.8421, loss_size: 0.8538, loss_rotsin: 0.3028, loss_centerness: 0.5792, loss_velo: 0.0635, loss_dir: 0.4723, loss_attr: 0.4180, loss: 4.5243, grad_norm: 6.2846
2021-08-10 11:09:48,338 - mmdet - INFO - Epoch [6][1450/2217] lr: 8.000e-03, eta: 8:59:39, time: 2.339, data_time: 0.054, memory: 28746, loss_cls: 0.2904, loss_offset: 0.6830, loss_depth: 0.8144, loss_size: 0.8358, loss_rotsin: 0.3004, loss_centerness: 0.5794, loss_velo: 0.0610, loss_dir: 0.4803, loss_attr: 0.4108, loss: 4.4554, grad_norm: 6.2276
2021-08-10 11:11:45,086 - mmdet - INFO - Epoch [6][1500/2217] lr: 8.000e-03, eta: 8:57:46, time: 2.335, data_time: 0.056, memory: 28746, loss_cls: 0.2919, loss_offset: 0.6976, loss_depth: 0.8664, loss_size: 0.8385, loss_rotsin: 0.3088, loss_centerness: 0.5794, loss_velo: 0.0609, loss_dir: 0.4803, loss_attr: 0.3918, loss: 4.5157, grad_norm: 6.9664
2021-08-10 11:13:41,998 - mmdet - INFO - Epoch [6][1550/2217] lr: 8.000e-03, eta: 8:55:53, time: 2.338, data_time: 0.056, memory: 28746, loss_cls: 0.2924, loss_offset: 0.6873, loss_depth: 0.8589, loss_size: 0.8324, loss_rotsin: 0.3011, loss_centerness: 0.5791, loss_velo: 0.0603, loss_dir: 0.4802, loss_attr: 0.4074, loss: 4.4989, grad_norm: 6.7964
2021-08-10 11:15:39,127 - mmdet - INFO - Epoch [6][1600/2217] lr: 8.000e-03, eta: 8:54:00, time: 2.343, data_time: 0.055, memory: 28746, loss_cls: 0.2947, loss_offset: 0.6894, loss_depth: 0.9110, loss_size: 0.8668, loss_rotsin: 0.3071, loss_centerness: 0.5790, loss_velo: 0.0597, loss_dir: 0.4788, loss_attr: 0.3993, loss: 4.5859, grad_norm: 7.4681
2021-08-10 11:17:35,041 - mmdet - INFO - Epoch [6][1650/2217] lr: 8.000e-03, eta: 8:52:06, time: 2.318, data_time: 0.055, memory: 28746, loss_cls: 0.2930, loss_offset: 0.6866, loss_depth: 0.8577, loss_size: 0.8397, loss_rotsin: 0.2967, loss_centerness: 0.5786, loss_velo: 0.0611, loss_dir: 0.4799, loss_attr: 0.4115, loss: 4.5048, grad_norm: 6.7697
2021-08-10 11:19:31,157 - mmdet - INFO - Epoch [6][1700/2217] lr: 8.000e-03, eta: 8:50:12, time: 2.322, data_time: 0.055, memory: 28746, loss_cls: 0.2938, loss_offset: 0.6911, loss_depth: 0.8446, loss_size: 0.8409, loss_rotsin: 0.3033, loss_centerness: 0.5790, loss_velo: 0.0591, loss_dir: 0.4750, loss_attr: 0.4162, loss: 4.5031, grad_norm: 7.0034
2021-08-10 11:21:27,228 - mmdet - INFO - Epoch [6][1750/2217] lr: 8.000e-03, eta: 8:48:18, time: 2.321, data_time: 0.057, memory: 28746, loss_cls: 0.2921, loss_offset: 0.6854, loss_depth: 0.8445, loss_size: 0.8466, loss_rotsin: 0.3074, loss_centerness: 0.5789, loss_velo: 0.0615, loss_dir: 0.4794, loss_attr: 0.4058, loss: 4.5014, grad_norm: 6.8515
2021-08-10 11:23:23,260 - mmdet - INFO - Epoch [6][1800/2217] lr: 8.000e-03, eta: 8:46:24, time: 2.321, data_time: 0.055, memory: 28746, loss_cls: 0.2884, loss_offset: 0.6837, loss_depth: 0.8615, loss_size: 0.8155, loss_rotsin: 0.3027, loss_centerness: 0.5786, loss_velo: 0.0581, loss_dir: 0.4786, loss_attr: 0.3858, loss: 4.4529, grad_norm: 7.1801
2021-08-10 11:25:19,218 - mmdet - INFO - Epoch [6][1850/2217] lr: 8.000e-03, eta: 8:44:30, time: 2.319, data_time: 0.060, memory: 28746, loss_cls: 0.2939, loss_offset: 0.6874, loss_depth: 0.9282, loss_size: 0.8573, loss_rotsin: 0.3002, loss_centerness: 0.5788, loss_velo: 0.0584, loss_dir: 0.4700, loss_attr: 0.3921, loss: 4.5661, grad_norm: 7.8418
2021-08-10 11:27:15,353 - mmdet - INFO - Epoch [6][1900/2217] lr: 8.000e-03, eta: 8:42:35, time: 2.323, data_time: 0.057, memory: 28746, loss_cls: 0.2905, loss_offset: 0.6853, loss_depth: 0.9598, loss_size: 0.8125, loss_rotsin: 0.3084, loss_centerness: 0.5786, loss_velo: 0.0580, loss_dir: 0.4760, loss_attr: 0.3939, loss: 4.5629, grad_norm: 7.4798
2021-08-10 11:29:09,781 - mmdet - INFO - Epoch [6][1950/2217] lr: 8.000e-03, eta: 8:40:40, time: 2.289, data_time: 0.050, memory: 28746, loss_cls: 0.2914, loss_offset: 0.6804, loss_depth: 0.8227, loss_size: 0.8291, loss_rotsin: 0.3002, loss_centerness: 0.5791, loss_velo: 0.0618, loss_dir: 0.4730, loss_attr: 0.4136, loss: 4.4512, grad_norm: 6.3517
2021-08-10 11:31:04,516 - mmdet - INFO - Epoch [6][2000/2217] lr: 8.000e-03, eta: 8:38:44, time: 2.295, data_time: 0.049, memory: 28746, loss_cls: 0.2911, loss_offset: 0.6875, loss_depth: 0.8152, loss_size: 0.8450, loss_rotsin: 0.3033, loss_centerness: 0.5790, loss_velo: 0.0589, loss_dir: 0.4830, loss_attr: 0.4152, loss: 4.4782, grad_norm: 6.1622
2021-08-10 11:32:59,745 - mmdet - INFO - Epoch [6][2050/2217] lr: 8.000e-03, eta: 8:36:49, time: 2.305, data_time: 0.056, memory: 28746, loss_cls: 0.2916, loss_offset: 0.6780, loss_depth: 0.9081, loss_size: 0.8262, loss_rotsin: 0.3036, loss_centerness: 0.5785, loss_velo: 0.0604, loss_dir: 0.4751, loss_attr: 0.4042, loss: 4.5257, grad_norm: 7.9340
2021-08-10 11:34:55,185 - mmdet - INFO - Epoch [6][2100/2217] lr: 8.000e-03, eta: 8:34:54, time: 2.309, data_time: 0.056, memory: 28746, loss_cls: 0.2916, loss_offset: 0.6835, loss_depth: 0.8604, loss_size: 0.8320, loss_rotsin: 0.3022, loss_centerness: 0.5786, loss_velo: 0.0604, loss_dir: 0.4692, loss_attr: 0.4023, loss: 4.4802, grad_norm: 6.7206
2021-08-10 11:36:50,910 - mmdet - INFO - Epoch [6][2150/2217] lr: 8.000e-03, eta: 8:33:00, time: 2.315, data_time: 0.057, memory: 28746, loss_cls: 0.2886, loss_offset: 0.6769, loss_depth: 0.8082, loss_size: 0.8218, loss_rotsin: 0.3009, loss_centerness: 0.5787, loss_velo: 0.0600, loss_dir: 0.4776, loss_attr: 0.3908, loss: 4.4036, grad_norm: 6.0945
2021-08-10 11:38:47,134 - mmdet - INFO - Epoch [6][2200/2217] lr: 8.000e-03, eta: 8:31:06, time: 2.325, data_time: 0.060, memory: 28746, loss_cls: 0.2898, loss_offset: 0.6801, loss_depth: 0.8357, loss_size: 0.8276, loss_rotsin: 0.2946, loss_centerness: 0.5784, loss_velo: 0.0565, loss_dir: 0.4756, loss_attr: 0.3897, loss: 4.4279, grad_norm: 6.7785
2021-08-10 11:39:27,095 - mmdet - INFO - Saving checkpoint at 6 epochs
2021-08-10 11:41:29,542 - mmdet - INFO - Epoch [7][50/2217] lr: 8.000e-03, eta: 8:27:58, time: 2.413, data_time: 0.182, memory: 28746, loss_cls: 0.2872, loss_offset: 0.6828, loss_depth: 0.8252, loss_size: 0.7957, loss_rotsin: 0.2969, loss_centerness: 0.5786, loss_velo: 0.0563, loss_dir: 0.4724, loss_attr: 0.3755, loss: 4.3708, grad_norm: 6.4695
2021-08-10 11:43:24,426 - mmdet - INFO - Epoch [7][100/2217] lr: 8.000e-03, eta: 8:26:03, time: 2.297, data_time: 0.057, memory: 28746, loss_cls: 0.2844, loss_offset: 0.6776, loss_depth: 0.8290, loss_size: 0.7972, loss_rotsin: 0.2930, loss_centerness: 0.5789, loss_velo: 0.0573, loss_dir: 0.4664, loss_attr: 0.3644, loss: 4.3481, grad_norm: 7.0527
2021-08-10 11:45:18,956 - mmdet - INFO - Epoch [7][150/2217] lr: 8.000e-03, eta: 8:24:08, time: 2.291, data_time: 0.050, memory: 28746, loss_cls: 0.2894, loss_offset: 0.6762, loss_depth: 0.8292, loss_size: 0.7992, loss_rotsin: 0.3006, loss_centerness: 0.5783, loss_velo: 0.0600, loss_dir: 0.4723, loss_attr: 0.3886, loss: 4.3937, grad_norm: 7.3532
2021-08-10 11:47:13,564 - mmdet - INFO - Epoch [7][200/2217] lr: 8.000e-03, eta: 8:22:12, time: 2.292, data_time: 0.050, memory: 28746, loss_cls: 0.2837, loss_offset: 0.6714, loss_depth: 0.8366, loss_size: 0.7839, loss_rotsin: 0.2927, loss_centerness: 0.5783, loss_velo: 0.0572, loss_dir: 0.4670, loss_attr: 0.3569, loss: 4.3279, grad_norm: 7.1817
2021-08-10 11:49:08,454 - mmdet - INFO - Epoch [7][250/2217] lr: 8.000e-03, eta: 8:20:17, time: 2.298, data_time: 0.053, memory: 28746, loss_cls: 0.2846, loss_offset: 0.6689, loss_depth: 0.7966, loss_size: 0.7844, loss_rotsin: 0.2881, loss_centerness: 0.5778, loss_velo: 0.0614, loss_dir: 0.4668, loss_attr: 0.3809, loss: 4.3094, grad_norm: 6.1949
2021-08-10 11:51:04,804 - mmdet - INFO - Epoch [7][300/2217] lr: 8.000e-03, eta: 8:18:24, time: 2.327, data_time: 0.098, memory: 28746, loss_cls: 0.2894, loss_offset: 0.6756, loss_depth: 0.8342, loss_size: 0.8161, loss_rotsin: 0.2946, loss_centerness: 0.5785, loss_velo: 0.0564, loss_dir: 0.4778, loss_attr: 0.3859, loss: 4.4085, grad_norm: 6.7752
2021-08-10 11:53:00,490 - mmdet - INFO - Epoch [7][350/2217] lr: 8.000e-03, eta: 8:16:29, time: 2.314, data_time: 0.052, memory: 28746, loss_cls: 0.2861, loss_offset: 0.6753, loss_depth: 0.8278, loss_size: 0.8082, loss_rotsin: 0.2924, loss_centerness: 0.5784, loss_velo: 0.0588, loss_dir: 0.4655, loss_attr: 0.3504, loss: 4.3429, grad_norm: 6.7175
2021-08-10 11:54:55,993 - mmdet - INFO - Epoch [7][400/2217] lr: 8.000e-03, eta: 8:14:35, time: 2.310, data_time: 0.050, memory: 28746, loss_cls: 0.2836, loss_offset: 0.6762, loss_depth: 0.8877, loss_size: 0.7644, loss_rotsin: 0.2868, loss_centerness: 0.5785, loss_velo: 0.0619, loss_dir: 0.4632, loss_attr: 0.3666, loss: 4.3689, grad_norm: 8.0041
2021-08-10 11:56:51,781 - mmdet - INFO - Epoch [7][450/2217] lr: 8.000e-03, eta: 8:12:40, time: 2.316, data_time: 0.055, memory: 28746, loss_cls: 0.2863, loss_offset: 0.6722, loss_depth: 0.9811, loss_size: 0.8145, loss_rotsin: 0.2970, loss_centerness: 0.5784, loss_velo: 0.0585, loss_dir: 0.4643, loss_attr: 0.3743, loss: 4.5266, grad_norm: 8.7503
2021-08-10 11:58:45,129 - mmdet - INFO - Epoch [7][500/2217] lr: 8.000e-03, eta: 8:10:44, time: 2.267, data_time: 0.052, memory: 28746, loss_cls: 0.2851, loss_offset: 0.6749, loss_depth: 0.8476, loss_size: 0.8123, loss_rotsin: 0.2896, loss_centerness: 0.5781, loss_velo: 0.0598, loss_dir: 0.4525, loss_attr: 0.3831, loss: 4.3829, grad_norm: 6.8477
2021-08-10 12:00:39,181 - mmdet - INFO - Epoch [7][550/2217] lr: 8.000e-03, eta: 8:08:48, time: 2.281, data_time: 0.054, memory: 28746, loss_cls: 0.2898, loss_offset: 0.6753, loss_depth: 0.7995, loss_size: 0.8087, loss_rotsin: 0.2937, loss_centerness: 0.5786, loss_velo: 0.0604, loss_dir: 0.4678, loss_attr: 0.3659, loss: 4.3396, grad_norm: 6.6478
2021-08-10 12:02:34,979 - mmdet - INFO - Epoch [7][600/2217] lr: 8.000e-03, eta: 8:06:54, time: 2.316, data_time: 0.060, memory: 28746, loss_cls: 0.2887, loss_offset: 0.6695, loss_depth: 0.8487, loss_size: 0.8136, loss_rotsin: 0.3005, loss_centerness: 0.5776, loss_velo: 0.0580, loss_dir: 0.4644, loss_attr: 0.3901, loss: 4.4112, grad_norm: 7.1390
2021-08-10 12:04:30,363 - mmdet - INFO - Epoch [7][650/2217] lr: 8.000e-03, eta: 8:04:59, time: 2.308, data_time: 0.051, memory: 28746, loss_cls: 0.2867, loss_offset: 0.6734, loss_depth: 0.8261, loss_size: 0.7760, loss_rotsin: 0.2975, loss_centerness: 0.5780, loss_velo: 0.0569, loss_dir: 0.4673, loss_attr: 0.3926, loss: 4.3546, grad_norm: 6.8608
2021-08-10 12:06:26,358 - mmdet - INFO - Epoch [7][700/2217] lr: 8.000e-03, eta: 8:03:05, time: 2.320, data_time: 0.053, memory: 28746, loss_cls: 0.2897, loss_offset: 0.6788, loss_depth: 0.7799, loss_size: 0.8111, loss_rotsin: 0.2947, loss_centerness: 0.5782, loss_velo: 0.0616, loss_dir: 0.4607, loss_attr: 0.3885, loss: 4.3431, grad_norm: 6.1799
2021-08-10 12:08:21,276 - mmdet - INFO - Epoch [7][750/2217] lr: 8.000e-03, eta: 8:01:10, time: 2.298, data_time: 0.051, memory: 28746, loss_cls: 0.2899, loss_offset: 0.6717, loss_depth: 0.8275, loss_size: 0.7955, loss_rotsin: 0.2925, loss_centerness: 0.5778, loss_velo: 0.0585, loss_dir: 0.4606, loss_attr: 0.3707, loss: 4.3448, grad_norm: 7.0723
2021-08-10 12:10:15,971 - mmdet - INFO - Epoch [7][800/2217] lr: 8.000e-03, eta: 7:59:15, time: 2.294, data_time: 0.054, memory: 28746, loss_cls: 0.2882, loss_offset: 0.6747, loss_depth: 0.8479, loss_size: 0.8168, loss_rotsin: 0.2907, loss_centerness: 0.5787, loss_velo: 0.0569, loss_dir: 0.4588, loss_attr: 0.3786, loss: 4.3914, grad_norm: 7.0939
2021-08-10 12:12:11,012 - mmdet - INFO - Epoch [7][850/2217] lr: 8.000e-03, eta: 7:57:20, time: 2.301, data_time: 0.057, memory: 28746, loss_cls: 0.2868, loss_offset: 0.6724, loss_depth: 0.9470, loss_size: 0.7870, loss_rotsin: 0.2938, loss_centerness: 0.5781, loss_velo: 0.0575, loss_dir: 0.4564, loss_attr: 0.3773, loss: 4.4563, grad_norm: 7.9332
2021-08-10 12:14:06,862 - mmdet - INFO - Epoch [7][900/2217] lr: 8.000e-03, eta: 7:55:25, time: 2.317, data_time: 0.059, memory: 28746, loss_cls: 0.2840, loss_offset: 0.6681, loss_depth: 0.8364, loss_size: 0.7733, loss_rotsin: 0.2873, loss_centerness: 0.5780, loss_velo: 0.0570, loss_dir: 0.4589, loss_attr: 0.3694, loss: 4.3123, grad_norm: 7.1575
2021-08-10 12:16:02,164 - mmdet - INFO - Epoch [7][950/2217] lr: 8.000e-03, eta: 7:53:31, time: 2.306, data_time: 0.053, memory: 28746, loss_cls: 0.2860, loss_offset: 0.6736, loss_depth: 0.7653, loss_size: 0.7824, loss_rotsin: 0.2920, loss_centerness: 0.5783, loss_velo: 0.0596, loss_dir: 0.4618, loss_attr: 0.3789, loss: 4.2779, grad_norm: 6.1748
2021-08-10 12:17:58,082 - mmdet - INFO - Epoch [7][1000/2217] lr: 8.000e-03, eta: 7:51:36, time: 2.318, data_time: 0.053, memory: 28746, loss_cls: 0.2846, loss_offset: 0.6700, loss_depth: 0.9229, loss_size: 0.7923, loss_rotsin: 0.2860, loss_centerness: 0.5781, loss_velo: 0.0573, loss_dir: 0.4629, loss_attr: 0.3755, loss: 4.4295, grad_norm: 8.2186
2021-08-10 12:19:54,267 - mmdet - INFO - Epoch [7][1050/2217] lr: 8.000e-03, eta: 7:49:42, time: 2.324, data_time: 0.056, memory: 28746, loss_cls: 0.2861, loss_offset: 0.6708, loss_depth: 0.8255, loss_size: 0.7948, loss_rotsin: 0.2881, loss_centerness: 0.5780, loss_velo: 0.0567, loss_dir: 0.4649, loss_attr: 0.3714, loss: 4.3363, grad_norm: 6.7578
2021-08-10 12:21:49,937 - mmdet - INFO - Epoch [7][1100/2217] lr: 8.000e-03, eta: 7:47:48, time: 2.313, data_time: 0.051, memory: 28746, loss_cls: 0.2841, loss_offset: 0.6678, loss_depth: 0.8288, loss_size: 0.8051, loss_rotsin: 0.2925, loss_centerness: 0.5782, loss_velo: 0.0553, loss_dir: 0.4630, loss_attr: 0.3659, loss: 4.3407, grad_norm: 6.7932
2021-08-10 12:23:44,682 - mmdet - INFO - Epoch [7][1150/2217] lr: 8.000e-03, eta: 7:45:53, time: 2.295, data_time: 0.054, memory: 28746, loss_cls: 0.2840, loss_offset: 0.6667, loss_depth: 0.9086, loss_size: 0.7768, loss_rotsin: 0.2882, loss_centerness: 0.5780, loss_velo: 0.0597, loss_dir: 0.4579, loss_attr: 0.3582, loss: 4.3782, grad_norm: 7.4531
2021-08-10 12:25:40,485 - mmdet - INFO - Epoch [7][1200/2217] lr: 8.000e-03, eta: 7:43:58, time: 2.316, data_time: 0.054, memory: 28746, loss_cls: 0.2857, loss_offset: 0.6656, loss_depth: 0.8359, loss_size: 0.7946, loss_rotsin: 0.2944, loss_centerness: 0.5778, loss_velo: 0.0600, loss_dir: 0.4612, loss_attr: 0.3741, loss: 4.3492, grad_norm: 7.6518
2021-08-10 12:27:36,528 - mmdet - INFO - Epoch [7][1250/2217] lr: 8.000e-03, eta: 7:42:04, time: 2.321, data_time: 0.052, memory: 28746, loss_cls: 0.2897, loss_offset: 0.6733, loss_depth: 0.9312, loss_size: 0.8131, loss_rotsin: 0.2861, loss_centerness: 0.5782, loss_velo: 0.0585, loss_dir: 0.4616, loss_attr: 0.3831, loss: 4.4749, grad_norm: 8.6563