mmyolo/configs/_base_/pose/coco.py

182 lines
5.1 KiB
Python
Raw Normal View History

Support yolox-pose based on mmpose (#694) * add * reproduce map * add typehint and doc * format code * replace key * add ut * format * format * format code * fix ut * fix ut * fix comment * fix comment * fix comment * [WIP][Feature] Support yolov5-Ins training * fix comment * change data flow and fix loss_mask compute * align the data pipeline * remove albu gt mask key * support yolov5 ins inference * fix multi gpu test * align the post_process with v8 * support training * support training * code formatting * code formatting * Support pad_param type (#672) * add half_pad_param * fix default fast_test * fix loss weight compute * add models * add dataset1 * add dataset2 * add dataset3 * add configs * re commit __init__ * re commit __init__ * re commit * del local * add typo * del PoseToDetConverter and BBoxKeypoints * del local changes * fix mask rescale, add segment merge, fix segment2bbox * fix pipeline * add dataset * fix typo * add resize in mmyolo * fix typo * del local * del local changes * del local changes * fix dir name * fix dir name * add FilterAnnotations * fix typo * new config for yolox-pose * fix typo * fix typo * fix clip and fix mask init * del pose dataset changes * fix YOLOv5DetDataPreprocessor * del local file * fix typo * del init_cfg * simplify config * fix batch size * fix batch size * fix typo * code formatting * code formatting * code formatting * code formatting * fix bug for FilterAnnotations * simpler way for FilterAnnotations * update config * [Fix] fix load image from file * shorten eval time * fix typo * add large model * [Add] Add docs and more config * [Fix] config type and test_formatting * [Fix] fix yolov5-ins_m packdetinputs * hand rebase from yolov5-ins * use new PackDetInputs * rebase fix typo * add mapping table * fix typo * add weight * del typo * del typo * add results * install mmpose, Keypoints note, context manager, predict, ota rename * fix test * add unittest for pose_sim_ota_assigner and yolox_head * add unittest for pose_sim_ota_assigner and yolox_head * fix typo --------- Co-authored-by: Nioolek <379319054@qq.com> Co-authored-by: josonchan <josonchan1998@163.com> Co-authored-by: Nioolek <40284075+Nioolek@users.noreply.github.com> Co-authored-by: huanghaian <huanghaian@sensetime.com>
2023-05-15 10:58:25 +08:00
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 '
r'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={
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={
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., 1., 1., 1., 1., 1., 1., 1.2, 1.2, 1.5, 1.5, 1., 1., 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
])