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- _base_ = ['./yolox-pose_s_8xb32-300e_coco.py']
- # model settings
- model = dict(
- init_cfg=dict(checkpoint='https://download.openmmlab.com/mmyolo/v0/yolox/'
- 'yolox_tiny_fast_8xb32-300e-rtmdet-hyp_coco/yolox_tiny_fast_'
- '8xb32-300e-rtmdet-hyp_coco_20230210_143637-4c338102.pth'),
- data_preprocessor=dict(batch_augments=[
- dict(
- type='PoseBatchSyncRandomResize',
- random_size_range=(320, 640),
- size_divisor=32,
- interval=1)
- ]),
- backbone=dict(
- deepen_factor=0.33,
- widen_factor=0.375,
- ),
- neck=dict(
- deepen_factor=0.33,
- widen_factor=0.375,
- ),
- bbox_head=dict(head_module=dict(widen_factor=0.375)))
- # data settings
- img_scale = _base_.img_scale
- pre_transform = _base_.pre_transform
- train_pipeline_stage1 = [
- *pre_transform,
- dict(
- type='Mosaic',
- img_scale=(img_scale),
- pad_val=114.0,
- pre_transform=pre_transform),
- dict(
- type='mmdet.RandomAffine',
- scaling_ratio_range=(0.75, 1.0),
- border=(-img_scale[0] // 2, -img_scale[1] // 2)),
- dict(type='mmdet.YOLOXHSVRandomAug'),
- dict(type='mmdet.RandomFlip', prob=0.5),
- dict(
- type='FilterDetPoseAnnotations',
- min_gt_bbox_wh=(1, 1),
- keep_empty=False),
- dict(
- type='PackDetPoseInputs',
- meta_keys=('img_id', 'img_path', 'ori_shape', 'img_shape'))
- ]
- test_pipeline = [
- *pre_transform,
- dict(type='mmdet.Resize', scale=(416, 416), keep_ratio=True),
- dict(
- type='mmdet.Pad',
- pad_to_square=True,
- pad_val=dict(img=(114.0, 114.0, 114.0))),
- dict(
- type='PackDetPoseInputs',
- meta_keys=('id', 'img_id', 'img_path', 'ori_shape', 'img_shape',
- 'scale_factor', 'flip_indices'))
- ]
- train_dataloader = dict(
- batch_size=64, dataset=dict(pipeline=train_pipeline_stage1))
- val_dataloader = dict(dataset=dict(pipeline=test_pipeline))
- test_dataloader = val_dataloader
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