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[Feature] Release RTMDet-X p6 (#10993)
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,132 @@ | ||
| _base_ = './rtmdet_x_8xb32-300e_coco.py' | ||
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|
||
| model = dict( | ||
| backbone=dict(arch='P6', out_indices=(2, 3, 4, 5)), | ||
| neck=dict(in_channels=[320, 640, 960, 1280]), | ||
| bbox_head=dict( | ||
| anchor_generator=dict( | ||
| type='MlvlPointGenerator', offset=0, strides=[8, 16, 32, 64]))) | ||
|
|
||
| train_pipeline = [ | ||
| dict(type='LoadImageFromFile', backend_args={{_base_.backend_args}}), | ||
| dict(type='LoadAnnotations', with_bbox=True), | ||
| dict(type='CachedMosaic', img_scale=(1280, 1280), pad_val=114.0), | ||
| dict( | ||
| type='RandomResize', | ||
| scale=(2560, 2560), | ||
| ratio_range=(0.1, 2.0), | ||
| keep_ratio=True), | ||
| dict(type='RandomCrop', crop_size=(1280, 1280)), | ||
| dict(type='YOLOXHSVRandomAug'), | ||
| dict(type='RandomFlip', prob=0.5), | ||
| dict(type='Pad', size=(1280, 1280), pad_val=dict(img=(114, 114, 114))), | ||
| dict( | ||
| type='CachedMixUp', | ||
| img_scale=(1280, 1280), | ||
| ratio_range=(1.0, 1.0), | ||
| max_cached_images=20, | ||
| pad_val=(114, 114, 114)), | ||
| dict(type='PackDetInputs') | ||
| ] | ||
|
|
||
| train_pipeline_stage2 = [ | ||
| dict(type='LoadImageFromFile', backend_args={{_base_.backend_args}}), | ||
| dict(type='LoadAnnotations', with_bbox=True), | ||
| dict( | ||
| type='RandomResize', | ||
| scale=(1280, 1280), | ||
| ratio_range=(0.1, 2.0), | ||
| keep_ratio=True), | ||
| dict(type='RandomCrop', crop_size=(1280, 1280)), | ||
| dict(type='YOLOXHSVRandomAug'), | ||
| dict(type='RandomFlip', prob=0.5), | ||
| dict(type='Pad', size=(1280, 1280), pad_val=dict(img=(114, 114, 114))), | ||
| dict(type='PackDetInputs') | ||
| ] | ||
|
|
||
| test_pipeline = [ | ||
| dict(type='LoadImageFromFile', backend_args={{_base_.backend_args}}), | ||
| dict(type='Resize', scale=(1280, 1280), keep_ratio=True), | ||
| dict(type='Pad', size=(1280, 1280), pad_val=dict(img=(114, 114, 114))), | ||
| dict(type='LoadAnnotations', with_bbox=True), | ||
| dict( | ||
| type='PackDetInputs', | ||
| meta_keys=('img_id', 'img_path', 'ori_shape', 'img_shape', | ||
| 'scale_factor')) | ||
| ] | ||
|
|
||
| train_dataloader = dict( | ||
| batch_size=8, num_workers=20, dataset=dict(pipeline=train_pipeline)) | ||
| val_dataloader = dict( | ||
| batch_size=5, num_workers=20, dataset=dict(pipeline=test_pipeline)) | ||
| test_dataloader = val_dataloader | ||
|
|
||
| max_epochs = 300 | ||
| stage2_num_epochs = 20 | ||
|
|
||
| base_lr = 0.004 * 32 / 256 | ||
| optim_wrapper = dict(optimizer=dict(lr=base_lr)) | ||
|
|
||
| param_scheduler = [ | ||
| dict( | ||
| type='LinearLR', | ||
| start_factor=1.0e-5, | ||
| by_epoch=False, | ||
| begin=0, | ||
| end=1000), | ||
| dict( | ||
| # use cosine lr from 150 to 300 epoch | ||
| type='CosineAnnealingLR', | ||
| eta_min=base_lr * 0.05, | ||
| begin=max_epochs // 2, | ||
| end=max_epochs, | ||
| T_max=max_epochs // 2, | ||
| by_epoch=True, | ||
| convert_to_iter_based=True), | ||
| ] | ||
|
|
||
| custom_hooks = [ | ||
| dict( | ||
| type='EMAHook', | ||
| ema_type='ExpMomentumEMA', | ||
| momentum=0.0002, | ||
| update_buffers=True, | ||
| priority=49), | ||
| dict( | ||
| type='PipelineSwitchHook', | ||
| switch_epoch=max_epochs - stage2_num_epochs, | ||
| switch_pipeline=train_pipeline_stage2) | ||
| ] | ||
|
|
||
| img_scales = [(1280, 1280), (640, 640), (1920, 1920)] | ||
| tta_pipeline = [ | ||
| dict(type='LoadImageFromFile', backend_args=None), | ||
| dict( | ||
| type='TestTimeAug', | ||
| transforms=[ | ||
| [ | ||
| dict(type='Resize', scale=s, keep_ratio=True) | ||
| for s in img_scales | ||
| ], | ||
| [ | ||
| # ``RandomFlip`` must be placed before ``Pad``, otherwise | ||
| # bounding box coordinates after flipping cannot be | ||
| # recovered correctly. | ||
| dict(type='RandomFlip', prob=1.), | ||
| dict(type='RandomFlip', prob=0.) | ||
| ], | ||
| [ | ||
| dict( | ||
| type='Pad', | ||
| size=(1920, 1920), | ||
| pad_val=dict(img=(114, 114, 114))), | ||
| ], | ||
| [dict(type='LoadAnnotations', with_bbox=True)], | ||
| [ | ||
| dict( | ||
| type='PackDetInputs', | ||
| meta_keys=('img_id', 'img_path', 'ori_shape', 'img_shape', | ||
| 'scale_factor', 'flip', 'flip_direction')) | ||
| ] | ||
| ]) | ||
| ] |