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_base_ = './htc_r50_fpn_head-without-semantic_1x_nuim.py'
model = dict(
roi_head=dict(
semantic_roi_extractor=dict(
type='SingleRoIExtractor',
roi_layer=dict(type='RoIAlign', output_size=14, sampling_ratio=0),
out_channels=256,
featmap_strides=[8]),
semantic_head=dict(
type='FusedSemanticHead',
num_ins=5,
fusion_level=1,
num_convs=4,
in_channels=256,
conv_out_channels=256,
num_classes=32,
ignore_label=0,
loss_weight=0.2)))
data_root = 'data/nuimages/'
backend_args = None
train_pipeline = [
dict(type='LoadImageFromFile', backend_args=backend_args),
dict(
type='LoadAnnotations', with_bbox=True, with_mask=True, with_seg=True),
dict(
type='Resize',
img_scale=[(1280, 720), (1920, 1080)],
multiscale_mode='range',
keep_ratio=True),
dict(type='RandomFlip', flip_ratio=0.5),
dict(type='SegRescale', scale_factor=1 / 8),
dict(type='PackDetInputs')
]
data = dict(
train=dict(
seg_prefix=data_root + 'annotations/semantic_masks/',
pipeline=train_pipeline))
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