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- _base_ = '../mask_rcnn/mask-rcnn_r50-caffe_fpn_ms-1x_coco.py'
- # model settings
- model = dict(
- type='PointRend',
- roi_head=dict(
- type='PointRendRoIHead',
- mask_roi_extractor=dict(
- type='GenericRoIExtractor',
- aggregation='concat',
- roi_layer=dict(
- _delete_=True, type='SimpleRoIAlign', output_size=14),
- out_channels=256,
- featmap_strides=[4]),
- mask_head=dict(
- _delete_=True,
- type='CoarseMaskHead',
- num_fcs=2,
- in_channels=256,
- conv_out_channels=256,
- fc_out_channels=1024,
- num_classes=80,
- loss_mask=dict(
- type='CrossEntropyLoss', use_mask=True, loss_weight=1.0)),
- point_head=dict(
- type='MaskPointHead',
- num_fcs=3,
- in_channels=256,
- fc_channels=256,
- num_classes=80,
- coarse_pred_each_layer=True,
- loss_point=dict(
- type='CrossEntropyLoss', use_mask=True, loss_weight=1.0))),
- # model training and testing settings
- train_cfg=dict(
- rcnn=dict(
- mask_size=7,
- num_points=14 * 14,
- oversample_ratio=3,
- importance_sample_ratio=0.75)),
- test_cfg=dict(
- rcnn=dict(
- subdivision_steps=5,
- subdivision_num_points=28 * 28,
- scale_factor=2)))
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