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[Algorithm] Update Stable KLD (NeurIPS'21) (open-mmlab#183)
* [Algorithm] Update Stable KLD (NeurIPS'21) * Update metafile.yml * Update performance on HRSC2016 * Update inf. time * update model and log * update metafile * update download version
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| # evaluation | ||
| evaluation = dict(interval=36, metric='mAP') | ||
| # optimizer | ||
| optimizer = dict(type='SGD', lr=0.0025, momentum=0.9, weight_decay=0.0001) | ||
| optimizer_config = dict(grad_clip=dict(max_norm=35, norm_type=2)) | ||
| # learning policy | ||
| lr_config = dict( | ||
| policy='step', | ||
| warmup='linear', | ||
| warmup_iters=500, | ||
| warmup_ratio=1.0 / 3, | ||
| step=[48, 66]) | ||
| runner = dict(type='EpochBasedRunner', max_epochs=72) | ||
| checkpoint_config = dict(interval=36) |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,47 @@ | ||
| _base_ = ['../r3det/r3det_r50_fpn_1x_dota_oc.py'] | ||
|
|
||
| angle_version = 'oc' | ||
| model = dict( | ||
| bbox_head=dict( | ||
| reg_decoded_bbox=True, | ||
| loss_bbox=dict( | ||
| _delete_=True, | ||
| type='GDLoss', | ||
| loss_type='kld', | ||
| fun='log1p', | ||
| tau=1.0, | ||
| sqrt=False, | ||
| loss_weight=5.0)), | ||
| refine_heads=[ | ||
| dict( | ||
| type='RotatedRetinaRefineHead', | ||
| num_classes=15, | ||
| in_channels=256, | ||
| stacked_convs=4, | ||
| feat_channels=256, | ||
| assign_by_circumhbbox=None, | ||
| anchor_generator=dict( | ||
| type='PseudoAnchorGenerator', strides=[8, 16, 32, 64, 128]), | ||
| bbox_coder=dict( | ||
| type='DeltaXYWHAOBBoxCoder', | ||
| angle_range=angle_version, | ||
| norm_factor=None, | ||
| edge_swap=False, | ||
| proj_xy=False, | ||
| target_means=(0.0, 0.0, 0.0, 0.0, 0.0), | ||
| target_stds=(1.0, 1.0, 1.0, 1.0, 1.0)), | ||
| loss_cls=dict( | ||
| type='FocalLoss', | ||
| use_sigmoid=True, | ||
| gamma=2.0, | ||
| alpha=0.25, | ||
| loss_weight=1.0), | ||
| reg_decoded_bbox=True, | ||
| loss_bbox=dict( | ||
| type='GDLoss', | ||
| loss_type='kld', | ||
| fun='log1p', | ||
| tau=1.0, | ||
| sqrt=False, | ||
| loss_weight=5.0)) | ||
| ]) |
32 changes: 32 additions & 0 deletions
32
configs/kld/rotated_retinanet_hbb_kld_stable_r50_fpn_1x_dota_oc.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,32 @@ | ||
| _base_ = ['../rotated_retinanet/rotated_retinanet_hbb_r50_fpn_1x_dota_oc.py'] | ||
|
|
||
| angle_version = 'oc' | ||
| model = dict( | ||
| bbox_head=dict( | ||
| reg_decoded_bbox=True, | ||
| loss_bbox=dict( | ||
| _delete_=True, | ||
| type='GDLoss', | ||
| loss_type='kld', | ||
| fun='log1p', | ||
| tau=1, | ||
| sqrt=False, | ||
| loss_weight=5.5))) | ||
|
|
||
| img_norm_cfg = dict( | ||
| mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) | ||
| train_pipeline = [ | ||
| dict(type='LoadImageFromFile'), | ||
| dict(type='LoadAnnotations', with_bbox=True), | ||
| dict(type='RResize', img_scale=(1024, 1024)), | ||
| dict( | ||
| type='RRandomFlip', | ||
| flip_ratio=[0.25, 0.25, 0.25], | ||
| direction=['horizontal', 'vertical', 'diagonal'], | ||
| version=angle_version), | ||
| dict(type='Normalize', **img_norm_cfg), | ||
| dict(type='Pad', size_divisor=32), | ||
| dict(type='DefaultFormatBundle'), | ||
| dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']) | ||
| ] | ||
| data = dict(train=dict(pipeline=train_pipeline)) |
15 changes: 15 additions & 0 deletions
15
configs/kld/rotated_retinanet_hbb_kld_stable_r50_fpn_6x_hrsc_rr_oc.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,15 @@ | ||
| _base_ = [ | ||
| '../rotated_retinanet/rotated_retinanet_hbb_r50_fpn_6x_hrsc_rr_oc.py' | ||
| ] | ||
|
|
||
| model = dict( | ||
| bbox_head=dict( | ||
| reg_decoded_bbox=True, | ||
| loss_bbox=dict( | ||
| _delete_=True, | ||
| type='GDLoss', | ||
| loss_type='kld', | ||
| fun='log1p', | ||
| tau=1, | ||
| sqrt=False, | ||
| loss_weight=5.5))) |
13 changes: 13 additions & 0 deletions
13
configs/kld/rotated_retinanet_obb_kld_stable_r50_fpn_1x_dota_le90.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,13 @@ | ||
| _base_ = ['../rotated_retinanet/rotated_retinanet_obb_r50_fpn_1x_dota_le90.py'] | ||
|
|
||
| model = dict( | ||
| bbox_head=dict( | ||
| reg_decoded_bbox=True, | ||
| loss_bbox=dict( | ||
| _delete_=True, | ||
| type='GDLoss', | ||
| loss_type='kld', | ||
| fun='log1p', | ||
| tau=1, | ||
| sqrt=False, | ||
| loss_weight=5.5))) |
15 changes: 15 additions & 0 deletions
15
configs/kld/rotated_retinanet_obb_kld_stable_r50_fpn_6x_hrsc_rr_le90.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,15 @@ | ||
| _base_ = [ | ||
| '../rotated_retinanet/rotated_retinanet_obb_r50_fpn_6x_hrsc_rr_le90.py' | ||
| ] | ||
|
|
||
| model = dict( | ||
| bbox_head=dict( | ||
| reg_decoded_bbox=True, | ||
| loss_bbox=dict( | ||
| _delete_=True, | ||
| type='GDLoss', | ||
| loss_type='kld', | ||
| fun='log1p', | ||
| tau=1, | ||
| sqrt=False, | ||
| loss_weight=1.0))) |
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