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[Feature] Support P6 YOLOv5 (open-mmlab#168)
* add yolov5s config * support train * fix some comment * add config * add link * UPDATE * UPDATE * remove
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15 changes: 15 additions & 0 deletions
15
configs/yolov5/yolov5_l-p6-v62_syncbn_fast_8xb16-300e_coco.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,15 @@ | ||
| _base_ = './yolov5_m-p6-v62_syncbn_fast_8xb16-300e_coco.py' | ||
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| deepen_factor = 1.0 | ||
| widen_factor = 1.0 | ||
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| model = dict( | ||
| backbone=dict( | ||
| deepen_factor=deepen_factor, | ||
| widen_factor=widen_factor, | ||
| ), | ||
| neck=dict( | ||
| deepen_factor=deepen_factor, | ||
| widen_factor=widen_factor, | ||
| ), | ||
| bbox_head=dict(head_module=dict(widen_factor=widen_factor))) |
74 changes: 74 additions & 0 deletions
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configs/yolov5/yolov5_m-p6-v62_syncbn_fast_8xb16-300e_coco.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,74 @@ | ||
| _base_ = './yolov5_s-p6-v62_syncbn_fast_8xb16-300e_coco.py' | ||
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| deepen_factor = 0.67 | ||
| widen_factor = 0.75 | ||
| lr_factor = 0.1 # lrf=0.1 | ||
| affine_scale = 0.9 | ||
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| num_classes = _base_.num_classes | ||
| num_det_layers = _base_.num_det_layers | ||
| img_scale = _base_.img_scale | ||
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| model = dict( | ||
| backbone=dict( | ||
| deepen_factor=deepen_factor, | ||
| widen_factor=widen_factor, | ||
| ), | ||
| neck=dict( | ||
| deepen_factor=deepen_factor, | ||
| widen_factor=widen_factor, | ||
| ), | ||
| bbox_head=dict( | ||
| head_module=dict(widen_factor=widen_factor), | ||
| loss_cls=dict(loss_weight=0.3 * | ||
| (num_classes / 80 * 3 / num_det_layers)), | ||
| loss_obj=dict(loss_weight=0.7 * | ||
| ((img_scale[0] / 640)**2 * 3 / num_det_layers)))) | ||
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| pre_transform = _base_.pre_transform | ||
| albu_train_transforms = _base_.albu_train_transforms | ||
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| mosaic_affine_pipeline = [ | ||
| dict( | ||
| type='Mosaic', | ||
| img_scale=img_scale, | ||
| pad_val=114.0, | ||
| pre_transform=pre_transform), | ||
| dict( | ||
| type='YOLOv5RandomAffine', | ||
| max_rotate_degree=0.0, | ||
| max_shear_degree=0.0, | ||
| scaling_ratio_range=(1 - affine_scale, 1 + affine_scale), | ||
| border=(-img_scale[0] // 2, -img_scale[1] // 2), | ||
| border_val=(114, 114, 114)) | ||
| ] | ||
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| # enable mixup | ||
| train_pipeline = [ | ||
| *pre_transform, *mosaic_affine_pipeline, | ||
| dict( | ||
| type='YOLOv5MixUp', | ||
| prob=0.1, | ||
| pre_transform=[*pre_transform, *mosaic_affine_pipeline]), | ||
| dict( | ||
| type='mmdet.Albu', | ||
| transforms=albu_train_transforms, | ||
| bbox_params=dict( | ||
| type='BboxParams', | ||
| format='pascal_voc', | ||
| label_fields=['gt_bboxes_labels', 'gt_ignore_flags']), | ||
| keymap={ | ||
| 'img': 'image', | ||
| 'gt_bboxes': 'bboxes' | ||
| }), | ||
| dict(type='YOLOv5HSVRandomAug'), | ||
| dict(type='mmdet.RandomFlip', prob=0.5), | ||
| dict( | ||
| type='mmdet.PackDetInputs', | ||
| meta_keys=('img_id', 'img_path', 'ori_shape', 'img_shape', 'flip', | ||
| 'flip_direction')) | ||
| ] | ||
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| train_dataloader = dict(dataset=dict(pipeline=train_pipeline)) | ||
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| default_hooks = dict(param_scheduler=dict(lr_factor=lr_factor)) |
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15 changes: 15 additions & 0 deletions
15
configs/yolov5/yolov5_n-p6-v62_syncbn_fast_8xb16-300e_coco.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,15 @@ | ||
| _base_ = 'yolov5_s-p6-v62_syncbn_fast_8xb16-300e_coco.py' | ||
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| deepen_factor = 0.33 | ||
| widen_factor = 0.25 | ||
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| model = dict( | ||
| backbone=dict( | ||
| deepen_factor=deepen_factor, | ||
| widen_factor=widen_factor, | ||
| ), | ||
| neck=dict( | ||
| deepen_factor=deepen_factor, | ||
| widen_factor=widen_factor, | ||
| ), | ||
| bbox_head=dict(head_module=dict(widen_factor=widen_factor))) |
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