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YOLO-World
/
third_party
/mmyolo
/configs
/yolov5
/ins_seg
/yolov5_ins_s-v61_syncbn_fast_non_overlap_8xb16-300e_coco_instance.py
_base_ = './yolov5_ins_s-v61_syncbn_fast_8xb16-300e_coco_instance.py' # noqa | |
# ========================modified parameters====================== | |
mask_overlap = False # Polygon2Mask | |
# ===============================Unmodified in most cases==================== | |
model = dict(bbox_head=dict(mask_overlap=mask_overlap)) | |
train_pipeline = [ | |
*_base_.pre_transform, | |
dict( | |
type='Mosaic', | |
img_scale=_base_.img_scale, | |
pad_val=114.0, | |
pre_transform=_base_.pre_transform), | |
dict( | |
type='YOLOv5RandomAffine', | |
max_rotate_degree=0.0, | |
max_shear_degree=0.0, | |
scaling_ratio_range=(1 - _base_.affine_scale, 1 + _base_.affine_scale), | |
border=(-_base_.img_scale[0] // 2, -_base_.img_scale[1] // 2), | |
border_val=(114, 114, 114), | |
min_area_ratio=_base_.min_area_ratio, | |
max_aspect_ratio=_base_.max_aspect_ratio, | |
use_mask_refine=True), | |
dict( | |
type='mmdet.Albu', | |
transforms=_base_.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='Polygon2Mask', | |
downsample_ratio=_base_.downsample_ratio, | |
mask_overlap=mask_overlap), | |
dict( | |
type='PackDetInputs', | |
meta_keys=('img_id', 'img_path', 'ori_shape', 'img_shape', 'flip', | |
'flip_direction')) | |
] | |
train_dataloader = dict(dataset=dict(pipeline=train_pipeline)) | |