| _base_ = '../mask_rcnn/mask-rcnn_r50_fpn_1x_coco.py' | |
| model = dict( | |
| data_preprocessor=dict(pad_size_divisor=64), | |
| neck=dict( | |
| type='FPN_CARAFE', | |
| in_channels=[256, 512, 1024, 2048], | |
| out_channels=256, | |
| num_outs=5, | |
| start_level=0, | |
| end_level=-1, | |
| norm_cfg=None, | |
| act_cfg=None, | |
| order=('conv', 'norm', 'act'), | |
| upsample_cfg=dict( | |
| type='carafe', | |
| up_kernel=5, | |
| up_group=1, | |
| encoder_kernel=3, | |
| encoder_dilation=1, | |
| compressed_channels=64)), | |
| roi_head=dict( | |
| mask_head=dict( | |
| upsample_cfg=dict( | |
| type='carafe', | |
| scale_factor=2, | |
| up_kernel=5, | |
| up_group=1, | |
| encoder_kernel=3, | |
| encoder_dilation=1, | |
| compressed_channels=64)))) | |