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| _base_ = './yolov5_s-p6-v62_syncbn_fast_8xb16-300e_coco.py' | |
| # ========================modified parameters====================== | |
| deepen_factor = 0.67 | |
| widen_factor = 0.75 | |
| lr_factor = 0.1 | |
| affine_scale = 0.9 | |
| loss_cls_weight = 0.3 | |
| loss_obj_weight = 0.7 | |
| mixup_prob = 0.1 | |
| # =======================Unmodified in most cases================== | |
| num_classes = _base_.num_classes | |
| num_det_layers = _base_.num_det_layers | |
| img_scale = _base_.img_scale | |
| 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=loss_cls_weight * | |
| (num_classes / 80 * 3 / num_det_layers)), | |
| loss_obj=dict(loss_weight=loss_obj_weight * | |
| ((img_scale[0] / 640)**2 * 3 / num_det_layers)))) | |
| pre_transform = _base_.pre_transform | |
| albu_train_transforms = _base_.albu_train_transforms | |
| 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), | |
| # img_scale is (width, height) | |
| border=(-img_scale[0] // 2, -img_scale[1] // 2), | |
| border_val=(114, 114, 114)) | |
| ] | |
| # enable mixup | |
| train_pipeline = [ | |
| *pre_transform, *mosaic_affine_pipeline, | |
| dict( | |
| type='YOLOv5MixUp', | |
| prob=mixup_prob, | |
| 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')) | |
| ] | |
| train_dataloader = dict(dataset=dict(pipeline=train_pipeline)) | |
| default_hooks = dict(param_scheduler=dict(lr_factor=lr_factor)) | |