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panoptic-fpn_r50_fpn_1x_coco.py
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panoptic-fpn_r50_fpn_1x_coco.py
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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 = []