|
checkpoint_config = dict(interval=10) |
|
log_config = dict(interval=50, hooks=[dict(type='TextLoggerHook')]) |
|
log_level = 'INFO' |
|
load_from = None |
|
resume_from = None |
|
dist_params = dict(backend='nccl') |
|
workflow = [('train', 1)] |
|
opencv_num_threads = 0 |
|
mp_start_method = 'fork' |
|
dataset_info = dict( |
|
dataset_name='coco', |
|
paper_info=dict( |
|
author= |
|
'Lin, Tsung-Yi and Maire, Michael and Belongie, Serge and Hays, James and Perona, Pietro and Ramanan, Deva and Doll{\'a}r, Piotr and Zitnick, C Lawrence', |
|
title='Microsoft coco: Common objects in context', |
|
container='European conference on computer vision', |
|
year='2014', |
|
homepage='http://cocodataset.org/'), |
|
keypoint_info=dict({ |
|
0: |
|
dict(name='nose', id=0, color=[51, 153, 255], type='upper', swap=''), |
|
1: |
|
dict( |
|
name='left_eye', |
|
id=1, |
|
color=[51, 153, 255], |
|
type='upper', |
|
swap='right_eye'), |
|
2: |
|
dict( |
|
name='right_eye', |
|
id=2, |
|
color=[51, 153, 255], |
|
type='upper', |
|
swap='left_eye'), |
|
3: |
|
dict( |
|
name='left_ear', |
|
id=3, |
|
color=[51, 153, 255], |
|
type='upper', |
|
swap='right_ear'), |
|
4: |
|
dict( |
|
name='right_ear', |
|
id=4, |
|
color=[51, 153, 255], |
|
type='upper', |
|
swap='left_ear'), |
|
5: |
|
dict( |
|
name='left_shoulder', |
|
id=5, |
|
color=[0, 255, 0], |
|
type='upper', |
|
swap='right_shoulder'), |
|
6: |
|
dict( |
|
name='right_shoulder', |
|
id=6, |
|
color=[255, 128, 0], |
|
type='upper', |
|
swap='left_shoulder'), |
|
7: |
|
dict( |
|
name='left_elbow', |
|
id=7, |
|
color=[0, 255, 0], |
|
type='upper', |
|
swap='right_elbow'), |
|
8: |
|
dict( |
|
name='right_elbow', |
|
id=8, |
|
color=[255, 128, 0], |
|
type='upper', |
|
swap='left_elbow'), |
|
9: |
|
dict( |
|
name='left_wrist', |
|
id=9, |
|
color=[0, 255, 0], |
|
type='upper', |
|
swap='right_wrist'), |
|
10: |
|
dict( |
|
name='right_wrist', |
|
id=10, |
|
color=[255, 128, 0], |
|
type='upper', |
|
swap='left_wrist'), |
|
11: |
|
dict( |
|
name='left_hip', |
|
id=11, |
|
color=[0, 255, 0], |
|
type='lower', |
|
swap='right_hip'), |
|
12: |
|
dict( |
|
name='right_hip', |
|
id=12, |
|
color=[255, 128, 0], |
|
type='lower', |
|
swap='left_hip'), |
|
13: |
|
dict( |
|
name='left_knee', |
|
id=13, |
|
color=[0, 255, 0], |
|
type='lower', |
|
swap='right_knee'), |
|
14: |
|
dict( |
|
name='right_knee', |
|
id=14, |
|
color=[255, 128, 0], |
|
type='lower', |
|
swap='left_knee'), |
|
15: |
|
dict( |
|
name='left_ankle', |
|
id=15, |
|
color=[0, 255, 0], |
|
type='lower', |
|
swap='right_ankle'), |
|
16: |
|
dict( |
|
name='right_ankle', |
|
id=16, |
|
color=[255, 128, 0], |
|
type='lower', |
|
swap='left_ankle') |
|
}), |
|
skeleton_info=dict({ |
|
0: |
|
dict(link=('left_ankle', 'left_knee'), id=0, color=[0, 255, 0]), |
|
1: |
|
dict(link=('left_knee', 'left_hip'), id=1, color=[0, 255, 0]), |
|
2: |
|
dict(link=('right_ankle', 'right_knee'), id=2, color=[255, 128, 0]), |
|
3: |
|
dict(link=('right_knee', 'right_hip'), id=3, color=[255, 128, 0]), |
|
4: |
|
dict(link=('left_hip', 'right_hip'), id=4, color=[51, 153, 255]), |
|
5: |
|
dict(link=('left_shoulder', 'left_hip'), id=5, color=[51, 153, 255]), |
|
6: |
|
dict(link=('right_shoulder', 'right_hip'), id=6, color=[51, 153, 255]), |
|
7: |
|
dict( |
|
link=('left_shoulder', 'right_shoulder'), |
|
id=7, |
|
color=[51, 153, 255]), |
|
8: |
|
dict(link=('left_shoulder', 'left_elbow'), id=8, color=[0, 255, 0]), |
|
9: |
|
dict( |
|
link=('right_shoulder', 'right_elbow'), id=9, color=[255, 128, 0]), |
|
10: |
|
dict(link=('left_elbow', 'left_wrist'), id=10, color=[0, 255, 0]), |
|
11: |
|
dict(link=('right_elbow', 'right_wrist'), id=11, color=[255, 128, 0]), |
|
12: |
|
dict(link=('left_eye', 'right_eye'), id=12, color=[51, 153, 255]), |
|
13: |
|
dict(link=('nose', 'left_eye'), id=13, color=[51, 153, 255]), |
|
14: |
|
dict(link=('nose', 'right_eye'), id=14, color=[51, 153, 255]), |
|
15: |
|
dict(link=('left_eye', 'left_ear'), id=15, color=[51, 153, 255]), |
|
16: |
|
dict(link=('right_eye', 'right_ear'), id=16, color=[51, 153, 255]), |
|
17: |
|
dict(link=('left_ear', 'left_shoulder'), id=17, color=[51, 153, 255]), |
|
18: |
|
dict( |
|
link=('right_ear', 'right_shoulder'), id=18, color=[51, 153, 255]) |
|
}), |
|
joint_weights=[ |
|
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.2, 1.2, 1.5, 1.5, 1.0, 1.0, 1.2, |
|
1.2, 1.5, 1.5 |
|
], |
|
sigmas=[ |
|
0.026, 0.025, 0.025, 0.035, 0.035, 0.079, 0.079, 0.072, 0.072, 0.062, |
|
0.062, 0.107, 0.107, 0.087, 0.087, 0.089, 0.089 |
|
]) |
|
evaluation = dict(interval=10, metric='mAP', save_best='AP') |
|
optimizer = dict(type='Adam', lr=0.0005) |
|
optimizer_config = dict(grad_clip=None) |
|
lr_config = dict( |
|
policy='step', |
|
warmup='linear', |
|
warmup_iters=500, |
|
warmup_ratio=0.001, |
|
step=[170, 200]) |
|
total_epochs = 210 |
|
channel_cfg = dict( |
|
num_output_channels=17, |
|
dataset_joints=17, |
|
dataset_channel=[[ |
|
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 |
|
]], |
|
inference_channel=[ |
|
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 |
|
]) |
|
model = dict( |
|
type='TopDown', |
|
pretrained= |
|
'https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth', |
|
backbone=dict( |
|
type='HRNet', |
|
in_channels=3, |
|
extra=dict( |
|
stage1=dict( |
|
num_modules=1, |
|
num_branches=1, |
|
block='BOTTLENECK', |
|
num_blocks=(4, ), |
|
num_channels=(64, )), |
|
stage2=dict( |
|
num_modules=1, |
|
num_branches=2, |
|
block='BASIC', |
|
num_blocks=(4, 4), |
|
num_channels=(48, 96)), |
|
stage3=dict( |
|
num_modules=4, |
|
num_branches=3, |
|
block='BASIC', |
|
num_blocks=(4, 4, 4), |
|
num_channels=(48, 96, 192)), |
|
stage4=dict( |
|
num_modules=3, |
|
num_branches=4, |
|
block='BASIC', |
|
num_blocks=(4, 4, 4, 4), |
|
num_channels=(48, 96, 192, 384)))), |
|
keypoint_head=dict( |
|
type='TopdownHeatmapSimpleHead', |
|
in_channels=48, |
|
out_channels=17, |
|
num_deconv_layers=0, |
|
extra=dict(final_conv_kernel=1), |
|
loss_keypoint=dict(type='JointsMSELoss', use_target_weight=True)), |
|
train_cfg=dict(), |
|
test_cfg=dict( |
|
flip_test=True, |
|
post_process='default', |
|
shift_heatmap=True, |
|
modulate_kernel=11)) |
|
data_cfg = dict( |
|
image_size=[192, 256], |
|
heatmap_size=[48, 64], |
|
num_output_channels=17, |
|
num_joints=17, |
|
dataset_channel=[[ |
|
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 |
|
]], |
|
inference_channel=[ |
|
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 |
|
], |
|
soft_nms=False, |
|
nms_thr=1.0, |
|
oks_thr=0.9, |
|
vis_thr=0.2, |
|
use_gt_bbox=False, |
|
det_bbox_thr=0.0, |
|
bbox_file= |
|
'data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json' |
|
) |
|
train_pipeline = [ |
|
dict(type='LoadImageFromFile'), |
|
dict(type='TopDownRandomFlip', flip_prob=0.5), |
|
dict( |
|
type='TopDownHalfBodyTransform', |
|
num_joints_half_body=8, |
|
prob_half_body=0.3), |
|
dict( |
|
type='TopDownGetRandomScaleRotation', rot_factor=40, scale_factor=0.5), |
|
dict(type='TopDownAffine'), |
|
dict(type='ToTensor'), |
|
dict( |
|
type='NormalizeTensor', |
|
mean=[0.485, 0.456, 0.406], |
|
std=[0.229, 0.224, 0.225]), |
|
dict(type='TopDownGenerateTarget', sigma=2), |
|
dict( |
|
type='Collect', |
|
keys=['img', 'target', 'target_weight'], |
|
meta_keys=[ |
|
'image_file', 'joints_3d', 'joints_3d_visible', 'center', 'scale', |
|
'rotation', 'bbox_score', 'flip_pairs' |
|
]) |
|
] |
|
val_pipeline = [ |
|
dict(type='LoadImageFromFile'), |
|
dict(type='TopDownAffine'), |
|
dict(type='ToTensor'), |
|
dict( |
|
type='NormalizeTensor', |
|
mean=[0.485, 0.456, 0.406], |
|
std=[0.229, 0.224, 0.225]), |
|
dict( |
|
type='Collect', |
|
keys=['img'], |
|
meta_keys=[ |
|
'image_file', 'center', 'scale', 'rotation', 'bbox_score', |
|
'flip_pairs' |
|
]) |
|
] |
|
test_pipeline = [ |
|
dict(type='LoadImageFromFile'), |
|
dict(type='TopDownAffine'), |
|
dict(type='ToTensor'), |
|
dict( |
|
type='NormalizeTensor', |
|
mean=[0.485, 0.456, 0.406], |
|
std=[0.229, 0.224, 0.225]), |
|
dict( |
|
type='Collect', |
|
keys=['img'], |
|
meta_keys=[ |
|
'image_file', 'center', 'scale', 'rotation', 'bbox_score', |
|
'flip_pairs' |
|
]) |
|
] |
|
data_root = 'data/coco' |
|
data = dict( |
|
samples_per_gpu=32, |
|
workers_per_gpu=2, |
|
val_dataloader=dict(samples_per_gpu=32), |
|
test_dataloader=dict(samples_per_gpu=32), |
|
train=dict( |
|
type='TopDownCocoDataset', |
|
ann_file='data/coco/annotations/person_keypoints_train2017.json', |
|
img_prefix='data/coco/train2017/', |
|
data_cfg=dict( |
|
image_size=[192, 256], |
|
heatmap_size=[48, 64], |
|
num_output_channels=17, |
|
num_joints=17, |
|
dataset_channel=[[ |
|
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 |
|
]], |
|
inference_channel=[ |
|
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 |
|
], |
|
soft_nms=False, |
|
nms_thr=1.0, |
|
oks_thr=0.9, |
|
vis_thr=0.2, |
|
use_gt_bbox=False, |
|
det_bbox_thr=0.0, |
|
bbox_file= |
|
'data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json' |
|
), |
|
pipeline=[ |
|
dict(type='LoadImageFromFile'), |
|
dict(type='TopDownRandomFlip', flip_prob=0.5), |
|
dict( |
|
type='TopDownHalfBodyTransform', |
|
num_joints_half_body=8, |
|
prob_half_body=0.3), |
|
dict( |
|
type='TopDownGetRandomScaleRotation', |
|
rot_factor=40, |
|
scale_factor=0.5), |
|
dict(type='TopDownAffine'), |
|
dict(type='ToTensor'), |
|
dict( |
|
type='NormalizeTensor', |
|
mean=[0.485, 0.456, 0.406], |
|
std=[0.229, 0.224, 0.225]), |
|
dict(type='TopDownGenerateTarget', sigma=2), |
|
dict( |
|
type='Collect', |
|
keys=['img', 'target', 'target_weight'], |
|
meta_keys=[ |
|
'image_file', 'joints_3d', 'joints_3d_visible', 'center', |
|
'scale', 'rotation', 'bbox_score', 'flip_pairs' |
|
]) |
|
], |
|
dataset_info=dict( |
|
dataset_name='coco', |
|
paper_info=dict( |
|
author= |
|
'Lin, Tsung-Yi and Maire, Michael and Belongie, Serge and Hays, James and Perona, Pietro and Ramanan, Deva and Doll{\'a}r, Piotr and Zitnick, C Lawrence', |
|
title='Microsoft coco: Common objects in context', |
|
container='European conference on computer vision', |
|
year='2014', |
|
homepage='http://cocodataset.org/'), |
|
keypoint_info=dict({ |
|
0: |
|
dict( |
|
name='nose', |
|
id=0, |
|
color=[51, 153, 255], |
|
type='upper', |
|
swap=''), |
|
1: |
|
dict( |
|
name='left_eye', |
|
id=1, |
|
color=[51, 153, 255], |
|
type='upper', |
|
swap='right_eye'), |
|
2: |
|
dict( |
|
name='right_eye', |
|
id=2, |
|
color=[51, 153, 255], |
|
type='upper', |
|
swap='left_eye'), |
|
3: |
|
dict( |
|
name='left_ear', |
|
id=3, |
|
color=[51, 153, 255], |
|
type='upper', |
|
swap='right_ear'), |
|
4: |
|
dict( |
|
name='right_ear', |
|
id=4, |
|
color=[51, 153, 255], |
|
type='upper', |
|
swap='left_ear'), |
|
5: |
|
dict( |
|
name='left_shoulder', |
|
id=5, |
|
color=[0, 255, 0], |
|
type='upper', |
|
swap='right_shoulder'), |
|
6: |
|
dict( |
|
name='right_shoulder', |
|
id=6, |
|
color=[255, 128, 0], |
|
type='upper', |
|
swap='left_shoulder'), |
|
7: |
|
dict( |
|
name='left_elbow', |
|
id=7, |
|
color=[0, 255, 0], |
|
type='upper', |
|
swap='right_elbow'), |
|
8: |
|
dict( |
|
name='right_elbow', |
|
id=8, |
|
color=[255, 128, 0], |
|
type='upper', |
|
swap='left_elbow'), |
|
9: |
|
dict( |
|
name='left_wrist', |
|
id=9, |
|
color=[0, 255, 0], |
|
type='upper', |
|
swap='right_wrist'), |
|
10: |
|
dict( |
|
name='right_wrist', |
|
id=10, |
|
color=[255, 128, 0], |
|
type='upper', |
|
swap='left_wrist'), |
|
11: |
|
dict( |
|
name='left_hip', |
|
id=11, |
|
color=[0, 255, 0], |
|
type='lower', |
|
swap='right_hip'), |
|
12: |
|
dict( |
|
name='right_hip', |
|
id=12, |
|
color=[255, 128, 0], |
|
type='lower', |
|
swap='left_hip'), |
|
13: |
|
dict( |
|
name='left_knee', |
|
id=13, |
|
color=[0, 255, 0], |
|
type='lower', |
|
swap='right_knee'), |
|
14: |
|
dict( |
|
name='right_knee', |
|
id=14, |
|
color=[255, 128, 0], |
|
type='lower', |
|
swap='left_knee'), |
|
15: |
|
dict( |
|
name='left_ankle', |
|
id=15, |
|
color=[0, 255, 0], |
|
type='lower', |
|
swap='right_ankle'), |
|
16: |
|
dict( |
|
name='right_ankle', |
|
id=16, |
|
color=[255, 128, 0], |
|
type='lower', |
|
swap='left_ankle') |
|
}), |
|
skeleton_info=dict({ |
|
0: |
|
dict( |
|
link=('left_ankle', 'left_knee'), id=0, color=[0, 255, 0]), |
|
1: |
|
dict(link=('left_knee', 'left_hip'), id=1, color=[0, 255, 0]), |
|
2: |
|
dict( |
|
link=('right_ankle', 'right_knee'), |
|
id=2, |
|
color=[255, 128, 0]), |
|
3: |
|
dict( |
|
link=('right_knee', 'right_hip'), |
|
id=3, |
|
color=[255, 128, 0]), |
|
4: |
|
dict( |
|
link=('left_hip', 'right_hip'), id=4, color=[51, 153, |
|
255]), |
|
5: |
|
dict( |
|
link=('left_shoulder', 'left_hip'), |
|
id=5, |
|
color=[51, 153, 255]), |
|
6: |
|
dict( |
|
link=('right_shoulder', 'right_hip'), |
|
id=6, |
|
color=[51, 153, 255]), |
|
7: |
|
dict( |
|
link=('left_shoulder', 'right_shoulder'), |
|
id=7, |
|
color=[51, 153, 255]), |
|
8: |
|
dict( |
|
link=('left_shoulder', 'left_elbow'), |
|
id=8, |
|
color=[0, 255, 0]), |
|
9: |
|
dict( |
|
link=('right_shoulder', 'right_elbow'), |
|
id=9, |
|
color=[255, 128, 0]), |
|
10: |
|
dict( |
|
link=('left_elbow', 'left_wrist'), |
|
id=10, |
|
color=[0, 255, 0]), |
|
11: |
|
dict( |
|
link=('right_elbow', 'right_wrist'), |
|
id=11, |
|
color=[255, 128, 0]), |
|
12: |
|
dict( |
|
link=('left_eye', 'right_eye'), |
|
id=12, |
|
color=[51, 153, 255]), |
|
13: |
|
dict(link=('nose', 'left_eye'), id=13, color=[51, 153, 255]), |
|
14: |
|
dict(link=('nose', 'right_eye'), id=14, color=[51, 153, 255]), |
|
15: |
|
dict( |
|
link=('left_eye', 'left_ear'), id=15, color=[51, 153, |
|
255]), |
|
16: |
|
dict( |
|
link=('right_eye', 'right_ear'), |
|
id=16, |
|
color=[51, 153, 255]), |
|
17: |
|
dict( |
|
link=('left_ear', 'left_shoulder'), |
|
id=17, |
|
color=[51, 153, 255]), |
|
18: |
|
dict( |
|
link=('right_ear', 'right_shoulder'), |
|
id=18, |
|
color=[51, 153, 255]) |
|
}), |
|
joint_weights=[ |
|
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.2, 1.2, 1.5, 1.5, 1.0, |
|
1.0, 1.2, 1.2, 1.5, 1.5 |
|
], |
|
sigmas=[ |
|
0.026, 0.025, 0.025, 0.035, 0.035, 0.079, 0.079, 0.072, 0.072, |
|
0.062, 0.062, 0.107, 0.107, 0.087, 0.087, 0.089, 0.089 |
|
])), |
|
val=dict( |
|
type='TopDownCocoDataset', |
|
ann_file='data/coco/annotations/person_keypoints_val2017.json', |
|
img_prefix='data/coco/val2017/', |
|
data_cfg=dict( |
|
image_size=[192, 256], |
|
heatmap_size=[48, 64], |
|
num_output_channels=17, |
|
num_joints=17, |
|
dataset_channel=[[ |
|
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 |
|
]], |
|
inference_channel=[ |
|
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 |
|
], |
|
soft_nms=False, |
|
nms_thr=1.0, |
|
oks_thr=0.9, |
|
vis_thr=0.2, |
|
use_gt_bbox=False, |
|
det_bbox_thr=0.0, |
|
bbox_file= |
|
'data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json' |
|
), |
|
pipeline=[ |
|
dict(type='LoadImageFromFile'), |
|
dict(type='TopDownAffine'), |
|
dict(type='ToTensor'), |
|
dict( |
|
type='NormalizeTensor', |
|
mean=[0.485, 0.456, 0.406], |
|
std=[0.229, 0.224, 0.225]), |
|
dict( |
|
type='Collect', |
|
keys=['img'], |
|
meta_keys=[ |
|
'image_file', 'center', 'scale', 'rotation', 'bbox_score', |
|
'flip_pairs' |
|
]) |
|
], |
|
dataset_info=dict( |
|
dataset_name='coco', |
|
paper_info=dict( |
|
author= |
|
'Lin, Tsung-Yi and Maire, Michael and Belongie, Serge and Hays, James and Perona, Pietro and Ramanan, Deva and Doll{\'a}r, Piotr and Zitnick, C Lawrence', |
|
title='Microsoft coco: Common objects in context', |
|
container='European conference on computer vision', |
|
year='2014', |
|
homepage='http://cocodataset.org/'), |
|
keypoint_info=dict({ |
|
0: |
|
dict( |
|
name='nose', |
|
id=0, |
|
color=[51, 153, 255], |
|
type='upper', |
|
swap=''), |
|
1: |
|
dict( |
|
name='left_eye', |
|
id=1, |
|
color=[51, 153, 255], |
|
type='upper', |
|
swap='right_eye'), |
|
2: |
|
dict( |
|
name='right_eye', |
|
id=2, |
|
color=[51, 153, 255], |
|
type='upper', |
|
swap='left_eye'), |
|
3: |
|
dict( |
|
name='left_ear', |
|
id=3, |
|
color=[51, 153, 255], |
|
type='upper', |
|
swap='right_ear'), |
|
4: |
|
dict( |
|
name='right_ear', |
|
id=4, |
|
color=[51, 153, 255], |
|
type='upper', |
|
swap='left_ear'), |
|
5: |
|
dict( |
|
name='left_shoulder', |
|
id=5, |
|
color=[0, 255, 0], |
|
type='upper', |
|
swap='right_shoulder'), |
|
6: |
|
dict( |
|
name='right_shoulder', |
|
id=6, |
|
color=[255, 128, 0], |
|
type='upper', |
|
swap='left_shoulder'), |
|
7: |
|
dict( |
|
name='left_elbow', |
|
id=7, |
|
color=[0, 255, 0], |
|
type='upper', |
|
swap='right_elbow'), |
|
8: |
|
dict( |
|
name='right_elbow', |
|
id=8, |
|
color=[255, 128, 0], |
|
type='upper', |
|
swap='left_elbow'), |
|
9: |
|
dict( |
|
name='left_wrist', |
|
id=9, |
|
color=[0, 255, 0], |
|
type='upper', |
|
swap='right_wrist'), |
|
10: |
|
dict( |
|
name='right_wrist', |
|
id=10, |
|
color=[255, 128, 0], |
|
type='upper', |
|
swap='left_wrist'), |
|
11: |
|
dict( |
|
name='left_hip', |
|
id=11, |
|
color=[0, 255, 0], |
|
type='lower', |
|
swap='right_hip'), |
|
12: |
|
dict( |
|
name='right_hip', |
|
id=12, |
|
color=[255, 128, 0], |
|
type='lower', |
|
swap='left_hip'), |
|
13: |
|
dict( |
|
name='left_knee', |
|
id=13, |
|
color=[0, 255, 0], |
|
type='lower', |
|
swap='right_knee'), |
|
14: |
|
dict( |
|
name='right_knee', |
|
id=14, |
|
color=[255, 128, 0], |
|
type='lower', |
|
swap='left_knee'), |
|
15: |
|
dict( |
|
name='left_ankle', |
|
id=15, |
|
color=[0, 255, 0], |
|
type='lower', |
|
swap='right_ankle'), |
|
16: |
|
dict( |
|
name='right_ankle', |
|
id=16, |
|
color=[255, 128, 0], |
|
type='lower', |
|
swap='left_ankle') |
|
}), |
|
skeleton_info=dict({ |
|
0: |
|
dict( |
|
link=('left_ankle', 'left_knee'), id=0, color=[0, 255, 0]), |
|
1: |
|
dict(link=('left_knee', 'left_hip'), id=1, color=[0, 255, 0]), |
|
2: |
|
dict( |
|
link=('right_ankle', 'right_knee'), |
|
id=2, |
|
color=[255, 128, 0]), |
|
3: |
|
dict( |
|
link=('right_knee', 'right_hip'), |
|
id=3, |
|
color=[255, 128, 0]), |
|
4: |
|
dict( |
|
link=('left_hip', 'right_hip'), id=4, color=[51, 153, |
|
255]), |
|
5: |
|
dict( |
|
link=('left_shoulder', 'left_hip'), |
|
id=5, |
|
color=[51, 153, 255]), |
|
6: |
|
dict( |
|
link=('right_shoulder', 'right_hip'), |
|
id=6, |
|
color=[51, 153, 255]), |
|
7: |
|
dict( |
|
link=('left_shoulder', 'right_shoulder'), |
|
id=7, |
|
color=[51, 153, 255]), |
|
8: |
|
dict( |
|
link=('left_shoulder', 'left_elbow'), |
|
id=8, |
|
color=[0, 255, 0]), |
|
9: |
|
dict( |
|
link=('right_shoulder', 'right_elbow'), |
|
id=9, |
|
color=[255, 128, 0]), |
|
10: |
|
dict( |
|
link=('left_elbow', 'left_wrist'), |
|
id=10, |
|
color=[0, 255, 0]), |
|
11: |
|
dict( |
|
link=('right_elbow', 'right_wrist'), |
|
id=11, |
|
color=[255, 128, 0]), |
|
12: |
|
dict( |
|
link=('left_eye', 'right_eye'), |
|
id=12, |
|
color=[51, 153, 255]), |
|
13: |
|
dict(link=('nose', 'left_eye'), id=13, color=[51, 153, 255]), |
|
14: |
|
dict(link=('nose', 'right_eye'), id=14, color=[51, 153, 255]), |
|
15: |
|
dict( |
|
link=('left_eye', 'left_ear'), id=15, color=[51, 153, |
|
255]), |
|
16: |
|
dict( |
|
link=('right_eye', 'right_ear'), |
|
id=16, |
|
color=[51, 153, 255]), |
|
17: |
|
dict( |
|
link=('left_ear', 'left_shoulder'), |
|
id=17, |
|
color=[51, 153, 255]), |
|
18: |
|
dict( |
|
link=('right_ear', 'right_shoulder'), |
|
id=18, |
|
color=[51, 153, 255]) |
|
}), |
|
joint_weights=[ |
|
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.2, 1.2, 1.5, 1.5, 1.0, |
|
1.0, 1.2, 1.2, 1.5, 1.5 |
|
], |
|
sigmas=[ |
|
0.026, 0.025, 0.025, 0.035, 0.035, 0.079, 0.079, 0.072, 0.072, |
|
0.062, 0.062, 0.107, 0.107, 0.087, 0.087, 0.089, 0.089 |
|
])), |
|
test=dict( |
|
type='TopDownCocoDataset', |
|
ann_file='data/coco/annotations/person_keypoints_val2017.json', |
|
img_prefix='data/coco/val2017/', |
|
data_cfg=dict( |
|
image_size=[192, 256], |
|
heatmap_size=[48, 64], |
|
num_output_channels=17, |
|
num_joints=17, |
|
dataset_channel=[[ |
|
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 |
|
]], |
|
inference_channel=[ |
|
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 |
|
], |
|
soft_nms=False, |
|
nms_thr=1.0, |
|
oks_thr=0.9, |
|
vis_thr=0.2, |
|
use_gt_bbox=False, |
|
det_bbox_thr=0.0, |
|
bbox_file= |
|
'data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json' |
|
), |
|
pipeline=[ |
|
dict(type='LoadImageFromFile'), |
|
dict(type='TopDownAffine'), |
|
dict(type='ToTensor'), |
|
dict( |
|
type='NormalizeTensor', |
|
mean=[0.485, 0.456, 0.406], |
|
std=[0.229, 0.224, 0.225]), |
|
dict( |
|
type='Collect', |
|
keys=['img'], |
|
meta_keys=[ |
|
'image_file', 'center', 'scale', 'rotation', 'bbox_score', |
|
'flip_pairs' |
|
]) |
|
], |
|
dataset_info=dict( |
|
dataset_name='coco', |
|
paper_info=dict( |
|
author= |
|
'Lin, Tsung-Yi and Maire, Michael and Belongie, Serge and Hays, James and Perona, Pietro and Ramanan, Deva and Doll{\'a}r, Piotr and Zitnick, C Lawrence', |
|
title='Microsoft coco: Common objects in context', |
|
container='European conference on computer vision', |
|
year='2014', |
|
homepage='http://cocodataset.org/'), |
|
keypoint_info=dict({ |
|
0: |
|
dict( |
|
name='nose', |
|
id=0, |
|
color=[51, 153, 255], |
|
type='upper', |
|
swap=''), |
|
1: |
|
dict( |
|
name='left_eye', |
|
id=1, |
|
color=[51, 153, 255], |
|
type='upper', |
|
swap='right_eye'), |
|
2: |
|
dict( |
|
name='right_eye', |
|
id=2, |
|
color=[51, 153, 255], |
|
type='upper', |
|
swap='left_eye'), |
|
3: |
|
dict( |
|
name='left_ear', |
|
id=3, |
|
color=[51, 153, 255], |
|
type='upper', |
|
swap='right_ear'), |
|
4: |
|
dict( |
|
name='right_ear', |
|
id=4, |
|
color=[51, 153, 255], |
|
type='upper', |
|
swap='left_ear'), |
|
5: |
|
dict( |
|
name='left_shoulder', |
|
id=5, |
|
color=[0, 255, 0], |
|
type='upper', |
|
swap='right_shoulder'), |
|
6: |
|
dict( |
|
name='right_shoulder', |
|
id=6, |
|
color=[255, 128, 0], |
|
type='upper', |
|
swap='left_shoulder'), |
|
7: |
|
dict( |
|
name='left_elbow', |
|
id=7, |
|
color=[0, 255, 0], |
|
type='upper', |
|
swap='right_elbow'), |
|
8: |
|
dict( |
|
name='right_elbow', |
|
id=8, |
|
color=[255, 128, 0], |
|
type='upper', |
|
swap='left_elbow'), |
|
9: |
|
dict( |
|
name='left_wrist', |
|
id=9, |
|
color=[0, 255, 0], |
|
type='upper', |
|
swap='right_wrist'), |
|
10: |
|
dict( |
|
name='right_wrist', |
|
id=10, |
|
color=[255, 128, 0], |
|
type='upper', |
|
swap='left_wrist'), |
|
11: |
|
dict( |
|
name='left_hip', |
|
id=11, |
|
color=[0, 255, 0], |
|
type='lower', |
|
swap='right_hip'), |
|
12: |
|
dict( |
|
name='right_hip', |
|
id=12, |
|
color=[255, 128, 0], |
|
type='lower', |
|
swap='left_hip'), |
|
13: |
|
dict( |
|
name='left_knee', |
|
id=13, |
|
color=[0, 255, 0], |
|
type='lower', |
|
swap='right_knee'), |
|
14: |
|
dict( |
|
name='right_knee', |
|
id=14, |
|
color=[255, 128, 0], |
|
type='lower', |
|
swap='left_knee'), |
|
15: |
|
dict( |
|
name='left_ankle', |
|
id=15, |
|
color=[0, 255, 0], |
|
type='lower', |
|
swap='right_ankle'), |
|
16: |
|
dict( |
|
name='right_ankle', |
|
id=16, |
|
color=[255, 128, 0], |
|
type='lower', |
|
swap='left_ankle') |
|
}), |
|
skeleton_info=dict({ |
|
0: |
|
dict( |
|
link=('left_ankle', 'left_knee'), id=0, color=[0, 255, 0]), |
|
1: |
|
dict(link=('left_knee', 'left_hip'), id=1, color=[0, 255, 0]), |
|
2: |
|
dict( |
|
link=('right_ankle', 'right_knee'), |
|
id=2, |
|
color=[255, 128, 0]), |
|
3: |
|
dict( |
|
link=('right_knee', 'right_hip'), |
|
id=3, |
|
color=[255, 128, 0]), |
|
4: |
|
dict( |
|
link=('left_hip', 'right_hip'), id=4, color=[51, 153, |
|
255]), |
|
5: |
|
dict( |
|
link=('left_shoulder', 'left_hip'), |
|
id=5, |
|
color=[51, 153, 255]), |
|
6: |
|
dict( |
|
link=('right_shoulder', 'right_hip'), |
|
id=6, |
|
color=[51, 153, 255]), |
|
7: |
|
dict( |
|
link=('left_shoulder', 'right_shoulder'), |
|
id=7, |
|
color=[51, 153, 255]), |
|
8: |
|
dict( |
|
link=('left_shoulder', 'left_elbow'), |
|
id=8, |
|
color=[0, 255, 0]), |
|
9: |
|
dict( |
|
link=('right_shoulder', 'right_elbow'), |
|
id=9, |
|
color=[255, 128, 0]), |
|
10: |
|
dict( |
|
link=('left_elbow', 'left_wrist'), |
|
id=10, |
|
color=[0, 255, 0]), |
|
11: |
|
dict( |
|
link=('right_elbow', 'right_wrist'), |
|
id=11, |
|
color=[255, 128, 0]), |
|
12: |
|
dict( |
|
link=('left_eye', 'right_eye'), |
|
id=12, |
|
color=[51, 153, 255]), |
|
13: |
|
dict(link=('nose', 'left_eye'), id=13, color=[51, 153, 255]), |
|
14: |
|
dict(link=('nose', 'right_eye'), id=14, color=[51, 153, 255]), |
|
15: |
|
dict( |
|
link=('left_eye', 'left_ear'), id=15, color=[51, 153, |
|
255]), |
|
16: |
|
dict( |
|
link=('right_eye', 'right_ear'), |
|
id=16, |
|
color=[51, 153, 255]), |
|
17: |
|
dict( |
|
link=('left_ear', 'left_shoulder'), |
|
id=17, |
|
color=[51, 153, 255]), |
|
18: |
|
dict( |
|
link=('right_ear', 'right_shoulder'), |
|
id=18, |
|
color=[51, 153, 255]) |
|
}), |
|
joint_weights=[ |
|
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.2, 1.2, 1.5, 1.5, 1.0, |
|
1.0, 1.2, 1.2, 1.5, 1.5 |
|
], |
|
sigmas=[ |
|
0.026, 0.025, 0.025, 0.035, 0.035, 0.079, 0.079, 0.072, 0.072, |
|
0.062, 0.062, 0.107, 0.107, 0.087, 0.087, 0.089, 0.089 |
|
]))) |
|
|