repo stringlengths 1 99 | file stringlengths 13 215 | code stringlengths 12 59.2M | file_length int64 12 59.2M | avg_line_length float64 3.82 1.48M | max_line_length int64 12 2.51M | extension_type stringclasses 1
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Pedestron | Pedestron-master/configs/faster_rcnn_r50_caffe_c4_1x.py | # model settings
norm_cfg = dict(type='BN', requires_grad=False)
model = dict(
type='FasterRCNN',
pretrained='open-mmlab://resnet50_caffe',
backbone=dict(
type='ResNet',
depth=50,
num_stages=3,
strides=(1, 2, 2),
dilations=(1, 1, 1),
out_indices=(2, ),
... | 4,994 | 27.872832 | 78 | py |
Pedestron | Pedestron-master/configs/retinanet_x101_32x4d_fpn_1x.py | # model settings
model = dict(
type='RetinaNet',
pretrained='open-mmlab://resnext101_32x4d',
backbone=dict(
type='ResNeXt',
depth=101,
groups=32,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=... | 3,500 | 26.566929 | 77 | py |
Pedestron | Pedestron-master/configs/fast_mask_rcnn_r101_fpn_1x.py | # model settings
model = dict(
type='FastRCNN',
pretrained='modelzoo://resnet101',
backbone=dict(
type='ResNet',
depth=101,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=dict(
type='FPN',
in_channels=[256, ... | 4,310 | 29.146853 | 77 | py |
Pedestron | Pedestron-master/configs/rpn_x101_32x4d_fpn_1x.py | # model settings
model = dict(
type='RPN',
pretrained='open-mmlab://resnext101_32x4d',
backbone=dict(
type='ResNeXt',
depth=101,
groups=32,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=dict(
... | 3,517 | 27.144 | 78 | py |
Pedestron | Pedestron-master/configs/faster_rcnn_ohem_r50_fpn_1x.py | # model settings
model = dict(
type='FasterRCNN',
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=dict(
type='FPN',
in_channels=[256, ... | 4,917 | 28.27381 | 78 | py |
Pedestron | Pedestron-master/configs/mask_rcnn_r50_fpn_1x.py | # model settings
model = dict(
type='MaskRCNN',
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=dict(
type='FPN',
in_channels=[256, 51... | 5,335 | 28.15847 | 78 | py |
Pedestron | Pedestron-master/configs/ssd512_coco.py | # model settings
input_size = 512
model = dict(
type='SingleStageDetector',
pretrained='open-mmlab://vgg16_caffe',
backbone=dict(
type='SSDVGG',
input_size=input_size,
depth=16,
with_last_pool=False,
ceil_mode=True,
out_indices=(3, 4),
out_feature_indi... | 3,921 | 28.712121 | 79 | py |
Pedestron | Pedestron-master/configs/faster_rcnn_r101_fpn_1x.py | # model settings
model = dict(
type='FasterRCNN',
pretrained='modelzoo://resnet101',
backbone=dict(
type='ResNet',
depth=101,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=dict(
type='FPN',
in_channels=[256... | 4,922 | 28.303571 | 78 | py |
Pedestron | Pedestron-master/configs/mask_rcnn_x101_64x4d_fpn_1x.py | # model settings
model = dict(
type='MaskRCNN',
pretrained='open-mmlab://resnext101_64x4d',
backbone=dict(
type='ResNeXt',
depth=101,
groups=64,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=d... | 5,365 | 28.163043 | 78 | py |
Pedestron | Pedestron-master/configs/cascade_rcnn_r50_fpn_1x.py | # model settings
model = dict(
type='CascadeRCNN',
num_stages=3,
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=dict(
type='FPN',
... | 7,211 | 28.679012 | 78 | py |
Pedestron | Pedestron-master/configs/cascade_mask_rcnn_x101_32x4d_fpn_1x.py | # model settings
model = dict(
type='CascadeRCNN',
num_stages=3,
pretrained='open-mmlab://resnext101_32x4d',
backbone=dict(
type='ResNeXt',
depth=101,
groups=32,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='... | 7,839 | 28.69697 | 78 | py |
Pedestron | Pedestron-master/configs/rpn_x101_64x4d_fpn_1x.py | # model settings
model = dict(
type='RPN',
pretrained='open-mmlab://resnext101_64x4d',
backbone=dict(
type='ResNeXt',
depth=101,
groups=64,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=dict(
... | 3,517 | 27.144 | 78 | py |
Pedestron | Pedestron-master/configs/fast_rcnn_r101_fpn_1x.py | # model settings
model = dict(
type='FastRCNN',
pretrained='modelzoo://resnet101',
backbone=dict(
type='ResNet',
depth=101,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=dict(
type='FPN',
in_channels=[256, ... | 3,834 | 28.728682 | 77 | py |
Pedestron | Pedestron-master/configs/rpn_r50_fpn_1x.py | # model settings
model = dict(
type='RPN',
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=dict(
type='FPN',
in_channels=[256, 512, 10... | 3,457 | 27.113821 | 78 | py |
Pedestron | Pedestron-master/configs/retinanet_r50_fpn_1x.py | # model settings
model = dict(
type='RetinaNet',
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=dict(
type='FPN',
in_channels=[256, 5... | 3,440 | 26.528 | 77 | py |
Pedestron | Pedestron-master/configs/retinanet_x101_64x4d_fpn_1x.py | # model settings
model = dict(
type='RetinaNet',
pretrained='open-mmlab://resnext101_64x4d',
backbone=dict(
type='ResNeXt',
depth=101,
groups=64,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=... | 3,500 | 26.566929 | 77 | py |
Pedestron | Pedestron-master/configs/fast_rcnn_r50_fpn_1x.py | # model settings
model = dict(
type='FastRCNN',
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=dict(
type='FPN',
in_channels=[256, 51... | 3,831 | 28.705426 | 77 | py |
Pedestron | Pedestron-master/configs/cascade_mask_rcnn_r50_fpn_1x.py | # model settings
model = dict(
type='CascadeRCNN',
num_stages=3,
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=dict(
type='FPN',
... | 7,910 | 28.965909 | 99 | py |
Pedestron | Pedestron-master/configs/rpn_r50_caffe_c4_1x.py | # model settings
model = dict(
type='RPN',
pretrained='open-mmlab://resnet50_caffe',
backbone=dict(
type='ResNet',
depth=50,
num_stages=3,
strides=(1, 2, 2),
dilations=(1, 1, 1),
out_indices=(2, ),
frozen_stages=1,
norm_cfg=dict(type='BN', requ... | 3,486 | 27.349593 | 78 | py |
Pedestron | Pedestron-master/configs/cascade_rcnn_x101_64x4d_fpn_1x.py | # model settings
model = dict(
type='CascadeRCNN',
num_stages=3,
pretrained='open-mmlab://resnext101_64x4d',
backbone=dict(
type='ResNeXt',
depth=101,
groups=64,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='... | 7,271 | 28.681633 | 78 | py |
Pedestron | Pedestron-master/configs/fast_mask_rcnn_r50_caffe_c4_1x.py | # model settings
norm_cfg = dict(type='BN', requires_grad=False)
model = dict(
type='FastRCNN',
pretrained='open-mmlab://resnet50_caffe',
backbone=dict(
type='ResNet',
depth=50,
num_stages=3,
strides=(1, 2, 2),
dilations=(1, 1, 1),
out_indices=(2, ),
f... | 4,062 | 27.612676 | 75 | py |
Pedestron | Pedestron-master/configs/cascade_mask_rcnn_x101_64x4d_fpn_1x.py | # model settings
model = dict(
type='CascadeRCNN',
num_stages=3,
pretrained='open-mmlab://resnext101_64x4d',
backbone=dict(
type='ResNeXt',
depth=101,
groups=64,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='... | 7,839 | 28.69697 | 78 | py |
Pedestron | Pedestron-master/configs/ssd300_coco.py | # model settings
input_size = 300
model = dict(
type='SingleStageDetector',
pretrained='open-mmlab://vgg16_caffe',
backbone=dict(
type='SSDVGG',
input_size=input_size,
depth=16,
with_last_pool=False,
ceil_mode=True,
out_indices=(3, 4),
out_feature_indi... | 3,904 | 28.583333 | 79 | py |
Pedestron | Pedestron-master/configs/mask_rcnn_x101_32x4d_fpn_1x.py | # model settings
model = dict(
type='MaskRCNN',
pretrained='open-mmlab://resnext101_32x4d',
backbone=dict(
type='ResNeXt',
depth=101,
groups=32,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=d... | 5,365 | 28.163043 | 78 | py |
Pedestron | Pedestron-master/configs/fast_rcnn_r50_caffe_c4_1x.py | # model settings
norm_cfg = dict(type='BN', requires_grad=False)
model = dict(
type='FastRCNN',
pretrained='open-mmlab://resnet50_caffe',
backbone=dict(
type='ResNet',
depth=50,
num_stages=3,
strides=(1, 2, 2),
dilations=(1, 1, 1),
out_indices=(2, ),
f... | 4,018 | 28.335766 | 76 | py |
Pedestron | Pedestron-master/configs/cascade_mask_rcnn_r50_caffe_c4_1x.py | # model settings
norm_cfg = dict(type='BN', requires_grad=False)
model = dict(
type='CascadeRCNN',
num_stages=3,
pretrained='open-mmlab://resnet50_caffe',
backbone=dict(
type='ResNet',
depth=50,
num_stages=3,
strides=(1, 2, 2),
dilations=(1, 1, 1),
out_ind... | 7,735 | 28.30303 | 78 | py |
Pedestron | Pedestron-master/configs/cascade_mask_rcnn_r101_fpn_1x.py | # model settings
model = dict(
type='CascadeRCNN',
num_stages=3,
pretrained='modelzoo://resnet101',
backbone=dict(
type='ResNet',
depth=101,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=dict(
type='FPN',
... | 7,782 | 28.706107 | 78 | py |
Pedestron | Pedestron-master/configs/cascade_rcnn_r101_fpn_1x.py | # model settings
model = dict(
type='CascadeRCNN',
num_stages=3,
pretrained='modelzoo://resnet101',
backbone=dict(
type='ResNet',
depth=101,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=dict(
type='FPN',
... | 7,214 | 28.691358 | 78 | py |
Pedestron | Pedestron-master/configs/rpn_r101_fpn_1x.py | # model settings
model = dict(
type='RPN',
pretrained='modelzoo://resnet101',
backbone=dict(
type='ResNet',
depth=101,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=dict(
type='FPN',
in_channels=[256, 512, ... | 3,460 | 27.138211 | 78 | py |
Pedestron | Pedestron-master/configs/ghm/retinanet_ghm_r50_fpn_1x.py | # model settings
model = dict(
type='RetinaNet',
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=dict(
type='FPN',
in_channels=[256, 5... | 3,494 | 25.884615 | 77 | py |
Pedestron | Pedestron-master/configs/dcn/mask_rcnn_dconv_c3-c5_r50_fpn_1x.py | # model settings
model = dict(
type='MaskRCNN',
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch',
dcn=dict(
modulated=False,
defor... | 5,486 | 28.342246 | 78 | py |
Pedestron | Pedestron-master/configs/dcn/cascade_rcnn_dconv_c3-c5_r50_fpn_1x.py | # model settings
model = dict(
type='CascadeRCNN',
num_stages=3,
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch',
dcn=dict(
modulated=Fal... | 7,392 | 28.810484 | 78 | py |
Pedestron | Pedestron-master/configs/dcn/faster_rcnn_mdconv_c3-c5_r50_fpn_1x.py | # model settings
model = dict(
type='FasterRCNN',
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch',
dcn=dict(
modulated=True, deformable_group... | 5,076 | 28.690058 | 78 | py |
Pedestron | Pedestron-master/configs/dcn/faster_rcnn_dconv_c3-c5_x101_32x4d_fpn_1x.py | # model settings
model = dict(
type='FasterRCNN',
pretrained='open-mmlab://resnext101_32x4d',
backbone=dict(
type='ResNeXt',
depth=101,
groups=32,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch',
d... | 5,183 | 28.454545 | 78 | py |
Pedestron | Pedestron-master/configs/dcn/faster_rcnn_dpool_r50_fpn_1x.py | # model settings
model = dict(
type='FasterRCNN',
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=dict(
type='FPN',
in_channels=[256, ... | 5,059 | 28.08046 | 78 | py |
Pedestron | Pedestron-master/configs/dcn/faster_rcnn_mdpool_r50_fpn_1x.py | # model settings
model = dict(
type='FasterRCNN',
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=dict(
type='FPN',
in_channels=[256, ... | 5,069 | 28.137931 | 78 | py |
Pedestron | Pedestron-master/configs/dcn/cascade_mask_rcnn_dconv_c3-c5_r50_fpn_1x.py | # model settings
model = dict(
type='CascadeRCNN',
num_stages=3,
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch',
dcn=dict(
modulated=Fal... | 7,693 | 29.776 | 78 | py |
Pedestron | Pedestron-master/configs/dcn/faster_rcnn_dconv_c3-c5_r50_fpn_1x.py | # model settings
model = dict(
type='FasterRCNN',
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch',
dcn=dict(
modulated=False, deformable_grou... | 5,076 | 28.690058 | 78 | py |
Pedestron | Pedestron-master/configs/htc/htc_r101_fpn_20e.py | # model settings
model = dict(
type='HybridTaskCascade',
num_stages=3,
pretrained='modelzoo://resnet101',
interleaved=True,
mask_info_flow=True,
backbone=dict(
type='ResNet',
depth=101,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style... | 8,395 | 28.77305 | 78 | py |
Pedestron | Pedestron-master/configs/htc/htc_x101_32x4d_fpn_20e_16gpu.py | # model settings
model = dict(
type='HybridTaskCascade',
num_stages=3,
pretrained='open-mmlab://resnext101_32x4d',
interleaved=True,
mask_info_flow=True,
backbone=dict(
type='ResNeXt',
depth=101,
groups=32,
base_width=4,
num_stages=4,
out_indices=(... | 8,452 | 28.764085 | 78 | py |
Pedestron | Pedestron-master/configs/htc/htc_r50_fpn_20e.py | # model settings
model = dict(
type='HybridTaskCascade',
num_stages=3,
pretrained='modelzoo://resnet50',
interleaved=True,
mask_info_flow=True,
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='... | 8,392 | 28.762411 | 78 | py |
Pedestron | Pedestron-master/configs/htc/htc_x101_64x4d_fpn_20e_16gpu.py | # model settings
model = dict(
type='HybridTaskCascade',
num_stages=3,
pretrained='open-mmlab://resnext101_64x4d',
interleaved=True,
mask_info_flow=True,
backbone=dict(
type='ResNeXt',
depth=101,
groups=64,
base_width=4,
num_stages=4,
out_indices=(... | 8,452 | 28.764085 | 78 | py |
Pedestron | Pedestron-master/configs/htc/htc_dconv_c3-c5_mstrain_400_1400_x101_64x4d_fpn_20e.py | # model settings
model = dict(
type='HybridTaskCascade',
num_stages=3,
pretrained='open-mmlab://resnext101_64x4d',
interleaved=True,
mask_info_flow=True,
backbone=dict(
type='ResNeXt',
depth=101,
groups=64,
base_width=4,
num_stages=4,
out_indices=(... | 8,722 | 28.975945 | 78 | py |
Pedestron | Pedestron-master/configs/htc/htc_r50_fpn_1x.py | # model settings
model = dict(
type='HybridTaskCascade',
num_stages=3,
pretrained='modelzoo://resnet50',
interleaved=True,
mask_info_flow=True,
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='... | 8,390 | 28.755319 | 78 | py |
Pedestron | Pedestron-master/configs/htc/htc_without_semantic_r50_fpn_1x.py | # model settings
model = dict(
type='HybridTaskCascade',
num_stages=3,
pretrained='modelzoo://resnet50',
interleaved=True,
mask_info_flow=True,
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='... | 7,836 | 28.685606 | 78 | py |
Pedestron | Pedestron-master/configs/fp16/faster_rcnn_r50_fpn_fp16_1x.py | # fp16 settings
fp16 = dict(loss_scale=512.)
# model settings
model = dict(
type='FasterRCNN',
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=dict(
... | 4,970 | 28.070175 | 78 | py |
Pedestron | Pedestron-master/configs/fp16/retinanet_r50_fpn_fp16_1x.py | # fp16 settings
fp16 = dict(loss_scale=512.)
# model settings
model = dict(
type='RetinaNet',
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=dict(
... | 3,491 | 26.28125 | 77 | py |
Pedestron | Pedestron-master/configs/fp16/mask_rcnn_r50_fpn_fp16_1x.py | # fp16 settings
fp16 = dict(loss_scale=512.)
# model settings
model = dict(
type='MaskRCNN',
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=dict(
... | 5,386 | 27.962366 | 78 | py |
Pedestron | Pedestron-master/configs/fcos/fcos_mstrain_640_800_x101_64x4d_fpn_gn_2x.py | # model settings
model = dict(
type='FCOS',
pretrained='open-mmlab://resnext101_64x4d',
backbone=dict(
type='ResNeXt',
depth=101,
groups=64,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=dict(... | 3,601 | 26.287879 | 77 | py |
Pedestron | Pedestron-master/configs/fcos/fcos_mstrain_640_800_r101_caffe_fpn_gn_2x_4gpu.py | # model settings
model = dict(
type='FCOS',
pretrained='open-mmlab://resnet101_caffe',
backbone=dict(
type='ResNet',
depth=101,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requires_grad=False),
style='caffe'),
... | 3,614 | 26.59542 | 75 | py |
Pedestron | Pedestron-master/configs/fcos/fcos_r50_caffe_fpn_gn_1x_4gpu.py | # model settings
model = dict(
type='FCOS',
pretrained='open-mmlab://resnet50_caffe',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requires_grad=False),
style='caffe'),
ne... | 3,546 | 26.284615 | 75 | py |
Pedestron | Pedestron-master/configs/elephant/cityperson/csp_r50.py | # model settings
model = dict(
type='CSP',
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
strides=(1, 2, 2, 1),
dilations=(1, 1, 1, 2),
out_indices=(1, 2, 3),
frozen_stages=-1,
norm_eval=False,
s... | 4,145 | 27.013514 | 109 | py |
Pedestron | Pedestron-master/configs/elephant/cityperson/retinanet_ResNeXt101.py | # model settings
model = dict(
type='RetinaNet',
pretrained='open-mmlab://resnext101_64x4d',
backbone=dict(
type='ResNeXt',
depth=101,
groups=64,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=... | 3,578 | 27.404762 | 105 | py |
Pedestron | Pedestron-master/configs/elephant/cityperson/csp_r50_hw.py | # model settings
model = dict(
type='CSP',
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
strides=(1, 2, 2, 1),
dilations=(1, 1, 1, 2),
out_indices=(1, 2, 3),
frozen_stages=-1,
norm_eval=False,
s... | 4,213 | 26.907285 | 109 | py |
Pedestron | Pedestron-master/configs/elephant/cityperson/htc_ResNeXt101.py | # model settings
model = dict(
type='HybridTaskCascade',
num_stages=3,
pretrained='open-mmlab://resnext101_64x4d',
interleaved=True,
mask_info_flow=True,
backbone=dict(
type='ResNeXt',
depth=101,
groups=64,
base_width=4,
num_stages=4,
out_indices=(... | 8,112 | 29.385768 | 105 | py |
Pedestron | Pedestron-master/configs/elephant/cityperson/ga_retinanet_ResNeXt101.py | # model settings
model = dict(
type='RetinaNet',
pretrained='open-mmlab://resnext101_32x4d',
backbone=dict(
type='ResNeXt',
depth=101,
groups=32,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=... | 4,283 | 27.370861 | 105 | py |
Pedestron | Pedestron-master/configs/elephant/cityperson/cascade_mobilenet.py | # model settings
model = dict(
type='CascadeRCNN',
num_stages=3,
pretrained='https://download.pytorch.org/models/mobilenet_v2-b0353104.pth',
backbone=dict(
type='MobilenetV2',
),
neck=dict(
type='FPN',
in_channels=[24, 32, 96, 320],
out_channels=256,
n... | 7,851 | 28.969466 | 105 | py |
Pedestron | Pedestron-master/configs/ms_rcnn/ms_rcnn_r101_caffe_fpn_1x.py | # model settings
model = dict(
type='MaskScoringRCNN',
pretrained='open-mmlab://resnet101_caffe',
backbone=dict(
type='ResNet',
depth=101,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requires_grad=False),
style='ca... | 5,636 | 28.207254 | 78 | py |
Pedestron | Pedestron-master/configs/ms_rcnn/ms_rcnn_x101_64x4d_fpn_1x.py | # model settings
model = dict(
type='MaskScoringRCNN',
pretrained='open-mmlab://resnext101_64x4d',
backbone=dict(
type='ResNeXt',
depth=101,
groups=64,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
... | 5,628 | 28.015464 | 78 | py |
Pedestron | Pedestron-master/configs/ms_rcnn/ms_rcnn_r50_caffe_fpn_1x.py | # model settings
model = dict(
type='MaskScoringRCNN',
pretrained='open-mmlab://resnet50_caffe',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requires_grad=False),
style='caff... | 5,633 | 28.19171 | 78 | py |
Pedestron | Pedestron-master/configs/empirical_attention/faster_rcnn_r50_fpn_attention_1111_dcn_1x.py | # model settings
model = dict(
type='FasterRCNN',
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch',
gen_attention=dict(
spatial_range=-1, num_... | 5,271 | 29.125714 | 79 | py |
Pedestron | Pedestron-master/configs/empirical_attention/faster_rcnn_r50_fpn_attention_1111_1x.py | # model settings
model = dict(
type='FasterRCNN',
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch',
gen_attention=dict(
spatial_range=-1, num_... | 5,122 | 28.784884 | 79 | py |
Pedestron | Pedestron-master/configs/empirical_attention/faster_rcnn_r50_fpn_attention_0010_1x.py | # model settings
model = dict(
type='FasterRCNN',
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch',
gen_attention=dict(
spatial_range=-1, num_... | 5,122 | 28.784884 | 79 | py |
Pedestron | Pedestron-master/configs/empirical_attention/faster_rcnn_r50_fpn_attention_0010_dcn_1x.py | # model settings
model = dict(
type='FasterRCNN',
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch',
gen_attention=dict(
spatial_range=-1, num_... | 5,271 | 29.125714 | 79 | py |
Pedestron | Pedestron-master/configs/wider_face/ssd300_wider_face.py | # model settings
input_size = 300
model = dict(
type='SingleStageDetector',
pretrained='open-mmlab://vgg16_caffe',
backbone=dict(
type='SSDVGG',
input_size=input_size,
depth=16,
with_last_pool=False,
ceil_mode=True,
out_indices=(3, 4),
out_feature_indi... | 4,019 | 28.558824 | 79 | py |
Pedestron | Pedestron-master/configs/grid_rcnn/grid_rcnn_gn_head_r50_fpn_2x.py | # model settings
model = dict(
type='GridRCNN',
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=dict(
type='FPN',
in_channels=[256, 51... | 5,174 | 27.910615 | 78 | py |
Pedestron | Pedestron-master/configs/grid_rcnn/grid_rcnn_gn_head_x101_32x4d_fpn_2x.py | # model settings
model = dict(
type='GridRCNN',
pretrained='open-mmlab://resnext101_32x4d',
backbone=dict(
type='ResNeXt',
depth=101,
groups=32,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=d... | 5,234 | 27.922652 | 78 | py |
Pedestron | Pedestron-master/configs/libra_rcnn/libra_faster_rcnn_r50_fpn_1x.py | # model settings
model = dict(
type='FasterRCNN',
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=[
dict(
type='FPN',
... | 5,410 | 28.091398 | 78 | py |
Pedestron | Pedestron-master/configs/libra_rcnn/libra_faster_rcnn_r101_fpn_1x.py | # model settings
model = dict(
type='FasterRCNN',
pretrained='modelzoo://resnet101',
backbone=dict(
type='ResNet',
depth=101,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=[
dict(
type='FPN',
... | 5,413 | 28.107527 | 78 | py |
Pedestron | Pedestron-master/configs/libra_rcnn/libra_fast_rcnn_r50_fpn_1x.py | # model settings
model = dict(
type='FastRCNN',
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=[
dict(
type='FPN',
in... | 4,311 | 28.737931 | 79 | py |
Pedestron | Pedestron-master/configs/libra_rcnn/libra_faster_rcnn_x101_64x4d_fpn_1x.py | # model settings
model = dict(
type='FasterRCNN',
pretrained='open-mmlab://resnext101_64x4d',
backbone=dict(
type='ResNeXt',
depth=101,
groups=64,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck... | 5,470 | 28.101064 | 78 | py |
Pedestron | Pedestron-master/configs/libra_rcnn/libra_retinanet_r50_fpn_1x.py | # model settings
model = dict(
type='RetinaNet',
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=[
dict(
type='FPN',
i... | 3,825 | 25.943662 | 77 | py |
Pedestron | Pedestron-master/configs/scratch/scratch_mask_rcnn_r50_fpn_gn_6x.py | # model settings
norm_cfg = dict(type='GN', num_groups=32, requires_grad=True)
model = dict(
type='MaskRCNN',
pretrained=None,
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=-1,
style='pytorch',
zero_init_... | 5,633 | 27.744898 | 78 | py |
Pedestron | Pedestron-master/configs/scratch/scratch_faster_rcnn_r50_fpn_gn_6x.py | # model settings
norm_cfg = dict(type='GN', num_groups=32, requires_grad=True)
model = dict(
type='FasterRCNN',
pretrained=None,
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=-1,
style='pytorch',
zero_ini... | 5,094 | 27.623596 | 78 | py |
Pedestron | Pedestron-master/configs/pascal_voc/ssd300_voc.py | # model settings
input_size = 300
model = dict(
type='SingleStageDetector',
pretrained='open-mmlab://vgg16_caffe',
backbone=dict(
type='SSDVGG',
input_size=input_size,
depth=16,
with_last_pool=False,
ceil_mode=True,
out_indices=(3, 4),
out_feature_indi... | 4,023 | 28.807407 | 79 | py |
Pedestron | Pedestron-master/configs/pascal_voc/faster_rcnn_r50_fpn_1x_voc0712.py | # model settings
model = dict(
type='FasterRCNN',
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=dict(
type='FPN',
in_channels=[256, ... | 5,173 | 29.615385 | 78 | py |
Pedestron | Pedestron-master/configs/pascal_voc/ssd512_voc.py | # model settings
input_size = 512
model = dict(
type='SingleStageDetector',
pretrained='open-mmlab://vgg16_caffe',
backbone=dict(
type='SSDVGG',
input_size=input_size,
depth=16,
with_last_pool=False,
ceil_mode=True,
out_indices=(3, 4),
out_feature_indi... | 4,042 | 28.948148 | 79 | py |
Pedestron | Pedestron-master/configs/gcnet/mask_rcnn_r50_fpn_sbn_1x.py | # model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
type='MaskRCNN',
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch',
norm... | 5,413 | 28.107527 | 78 | py |
Pedestron | Pedestron-master/configs/gcnet/mask_rcnn_r16_gcb_c3-c5_r50_fpn_1x.py | # model settings
model = dict(
type='MaskRCNN',
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch',
gcb=dict(
ratio=1./16.,
),
s... | 5,424 | 28.166667 | 78 | py |
Pedestron | Pedestron-master/configs/gcnet/mask_rcnn_r4_gcb_c3-c5_r50_fpn_syncbn_1x.py | # model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
type='MaskRCNN',
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch',
gcb=... | 5,533 | 28.126316 | 78 | py |
Pedestron | Pedestron-master/configs/gcnet/mask_rcnn_r4_gcb_c3-c5_r50_fpn_1x.py | # model settings
model = dict(
type='MaskRCNN',
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch',
gcb=dict(
ratio=1./4.,
),
st... | 5,422 | 28.155914 | 78 | py |
Pedestron | Pedestron-master/configs/gcnet/mask_rcnn_r16_gcb_c3-c5_r50_fpn_syncbn_1x.py | # model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
type='MaskRCNN',
pretrained='modelzoo://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch',
gcb=... | 5,535 | 28.136842 | 78 | py |
Pedestron | Pedestron-master/configs/gn+ws/mask_rcnn_x101_32x4d_fpn_gn_ws_2x.py | # model settings
conv_cfg = dict(type='ConvWS')
norm_cfg = dict(type='GN', num_groups=32, requires_grad=True)
model = dict(
type='MaskRCNN',
pretrained='open-mmlab://jhu/resnext101_32x4d_gn_ws',
backbone=dict(
type='ResNeXt',
depth=101,
groups=32,
base_width=4,
num_st... | 5,755 | 28.367347 | 78 | py |
Pedestron | Pedestron-master/configs/gn+ws/mask_rcnn_r50_fpn_gn_ws_2x.py | # model settings
conv_cfg = dict(type='ConvWS')
norm_cfg = dict(type='GN', num_groups=32, requires_grad=True)
model = dict(
type='MaskRCNN',
pretrained='open-mmlab://jhu/resnet50_gn_ws',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
f... | 5,697 | 28.371134 | 78 | py |
Pedestron | Pedestron-master/configs/gn+ws/mask_rcnn_r50_fpn_gn_ws_20_23_24e.py | # model settings
conv_cfg = dict(type='ConvWS')
norm_cfg = dict(type='GN', num_groups=32, requires_grad=True)
model = dict(
type='MaskRCNN',
pretrained='open-mmlab://jhu/resnet50_gn_ws',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
f... | 5,704 | 28.407216 | 78 | py |
Pedestron | Pedestron-master/configs/gn+ws/faster_rcnn_r50_fpn_gn_ws_1x.py | # model settings
conv_cfg = dict(type='ConvWS')
norm_cfg = dict(type='GN', num_groups=32, requires_grad=True)
model = dict(
type='FasterRCNN',
pretrained='open-mmlab://jhu/resnet50_gn_ws',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
... | 5,138 | 28.365714 | 78 | py |
Pedestron | Pedestron-master/configs/guided_anchoring/ga_rpn_r50_caffe_fpn_1x.py | # model settings
model = dict(
type='RPN',
pretrained='open-mmlab://resnet50_caffe',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requires_grad=False),
norm_eval=True,
... | 4,383 | 28.033113 | 75 | py |
Pedestron | Pedestron-master/configs/guided_anchoring/ga_fast_r50_caffe_fpn_1x.py | # model settings
model = dict(
type='FastRCNN',
pretrained='open-mmlab://resnet50_caffe',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requires_grad=False),
norm_eval=True,
... | 3,990 | 29.465649 | 78 | py |
Pedestron | Pedestron-master/configs/guided_anchoring/ga_rpn_x101_32x4d_fpn_1x.py | # model settings
model = dict(
type='RPN',
pretrained='open-mmlab://resnext101_32x4d',
backbone=dict(
type='ResNeXt',
depth=101,
groups=32,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=dict(
... | 4,354 | 27.84106 | 77 | py |
Pedestron | Pedestron-master/configs/guided_anchoring/ga_rpn_r101_caffe_rpn_1x.py | # model settings
model = dict(
type='RPN',
pretrained='open-mmlab://resnet101_caffe',
backbone=dict(
type='ResNet',
depth=101,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requires_grad=False),
norm_eval=True,
... | 4,386 | 28.05298 | 75 | py |
Pedestron | Pedestron-master/configs/guided_anchoring/ga_retinanet_r50_caffe_fpn_1x.py | # model settings
model = dict(
type='RetinaNet',
pretrained='open-mmlab://resnet50_caffe',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requires_grad=False),
norm_eval=True,
... | 4,278 | 27.151316 | 75 | py |
Pedestron | Pedestron-master/configs/guided_anchoring/ga_retinanet_x101_32x4d_fpn_1x.py | # model settings
model = dict(
type='RetinaNet',
pretrained='open-mmlab://resnext101_32x4d',
backbone=dict(
type='ResNeXt',
depth=101,
groups=32,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck=... | 4,249 | 26.960526 | 77 | py |
Pedestron | Pedestron-master/configs/guided_anchoring/ga_faster_r50_caffe_fpn_1x.py | # model settings
model = dict(
type='FasterRCNN',
pretrained='open-mmlab://resnet50_caffe',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requires_grad=False),
norm_eval=True,
... | 5,727 | 28.678756 | 76 | py |
Pedestron | Pedestron-master/configs/guided_anchoring/ga_faster_x101_32x4d_fpn_1x.py | # model settings
model = dict(
type='FasterRCNN',
pretrained='open-mmlab://resnext101_32x4d',
backbone=dict(
type='ResNeXt',
depth=101,
groups=32,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'),
neck... | 5,698 | 28.528497 | 77 | py |
Pedestron | Pedestron-master/configs/gn/mask_rcnn_r101_fpn_gn_2x.py | # model settings
norm_cfg = dict(type='GN', num_groups=32, requires_grad=True)
model = dict(
type='MaskRCNN',
pretrained='open-mmlab://detectron/resnet101_gn',
backbone=dict(
type='ResNet',
depth=101,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
s... | 5,560 | 28.268421 | 78 | py |
Pedestron | Pedestron-master/configs/gn/mask_rcnn_r50_fpn_gn_2x.py | # model settings
norm_cfg = dict(type='GN', num_groups=32, requires_grad=True)
model = dict(
type='MaskRCNN',
pretrained='open-mmlab://detectron/resnet50_gn',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
sty... | 5,557 | 28.252632 | 78 | py |
Pedestron | Pedestron-master/configs/gn/mask_rcnn_r50_fpn_gn_contrib_2x.py | # model settings
norm_cfg = dict(type='GN', num_groups=32, requires_grad=True)
model = dict(
type='MaskRCNN',
pretrained='open-mmlab://contrib/resnet50_gn',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style... | 5,565 | 28.294737 | 78 | py |
Pedestron | Pedestron-master/mmdet/apis/inference.py | import warnings
import mmcv
import numpy as np
import pycocotools.mask as maskUtils
import torch
from mmcv.runner import load_checkpoint
from mmdet.core import get_classes
from mmdet.datasets import to_tensor
from mmdet.datasets.transforms import ImageTransform
from mmdet.models import build_detector
def init_detec... | 5,003 | 33.75 | 79 | py |
Pedestron | Pedestron-master/mmdet/apis/train.py | from __future__ import division
import re
from collections import OrderedDict
import torch
from mmdet.core.my_mmcv.runner.mean_teacher_runner import Mean_teacher_Runner as Runner
from mmcv.runner import DistSamplerSeedHook, obj_from_dict
from mmcv.parallel import MMDataParallel, MMDistributedDataParallel
from mmdet ... | 8,283 | 36.654545 | 87 | py |
Pedestron | Pedestron-master/mmdet/apis/env.py | import logging
import os
import random
import subprocess
import numpy as np
import torch
import torch.distributed as dist
import torch.multiprocessing as mp
from mmcv.runner import get_dist_info
def init_dist(launcher, backend='nccl', **kwargs):
if mp.get_start_method(allow_none=True) is None:
mp.set_sta... | 2,041 | 28.171429 | 70 | py |
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