_base_ = ['./mask_rcnn_r50_8x2_1x.py']

model = dict(roi_head=dict(bbox_head=dict(loss_cls=dict(type="EQLv2"))))

data = dict(train=dict(oversample_thr=1e-3))
# test_cfg = dict(rcnn=dict(max_per_img=800))
# train_cfg = dict(rcnn=dict(sampler=dict(pos_fraction=0.5)))

work_dir = 'eqlv2_1x_rfs'
_base_ = ['./mask_rcnn_r50_8x2_1x.py']

model = dict(roi_head=dict(bbox_head=dict(loss_cls=dict(type="EQLv2"))))

data = dict(train=dict(oversample_thr=1e-3))
# test_cfg = dict(rcnn=dict(max_per_img=800))
# train_cfg = dict(rcnn=dict(sampler=dict(pos_fraction=0.5)))

work_dir = 'eqlv2_1x_rfs'
# test_cfg = dict(rcnn=dict(max_per_img=800)) # train_cfg = dict(rcnn=dict(sampler=dict(pos_fraction=0.5)))