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- _base_ = [
- '../_base_/models/mask-rcnn_r50_fpn.py',
- '../_base_/datasets/coco_panoptic.py',
- '../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py'
- ]
- model = dict(
- type='PanopticFPN',
- data_preprocessor=dict(
- type='DetDataPreprocessor',
- mean=[123.675, 116.28, 103.53],
- std=[58.395, 57.12, 57.375],
- bgr_to_rgb=True,
- pad_size_divisor=32,
- pad_mask=True,
- mask_pad_value=0,
- pad_seg=True,
- seg_pad_value=255),
- semantic_head=dict(
- type='PanopticFPNHead',
- num_things_classes=80,
- num_stuff_classes=53,
- in_channels=256,
- inner_channels=128,
- start_level=0,
- end_level=4,
- norm_cfg=dict(type='GN', num_groups=32, requires_grad=True),
- conv_cfg=None,
- loss_seg=dict(
- type='CrossEntropyLoss', ignore_index=255, loss_weight=0.5)),
- panoptic_fusion_head=dict(
- type='HeuristicFusionHead',
- num_things_classes=80,
- num_stuff_classes=53),
- test_cfg=dict(
- rcnn=dict(
- score_thr=0.6,
- nms=dict(type='nms', iou_threshold=0.5, class_agnostic=True),
- max_per_img=100,
- mask_thr_binary=0.5),
- # used in HeuristicFusionHead
- panoptic=dict(mask_overlap=0.5, stuff_area_limit=4096)))
- # Forced to remove NumClassCheckHook
- custom_hooks = []
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