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model = dict(type='YOLOV3',
backbone=dict(type='Darknet', depth=53, out_indices=(3, 4, 5)),
neck=dict(type='YOLOV3Neck',
num_scales=3,
in_channels=[1024, 512, 256],
out_channels=[512, 256, 128]),
bbox_head=dict(type='YOLOV3Head',
num_classes=1,
in_channels=[512, 256, 128],
out_channels=[1024, 512, 256],
anchor_generator=dict(type='YOLOAnchorGenerator',
base_sizes=[[(116, 90),
(156, 198),
(373, 326)],
[(30, 61),
(62, 45),
(59, 119)],
[(10, 13),
(16, 30),
(33, 23)]],
strides=[32, 16, 8]),
bbox_coder=dict(type='YOLOBBoxCoder'),
featmap_strides=[32, 16, 8]),
test_cfg=dict(nms_pre=1000,
min_bbox_size=0,
score_thr=0.05,
conf_thr=0.005,
nms=dict(type='nms', iou_threshold=0.45),
max_per_img=100))
test_pipeline = [
dict(type='LoadImageFromFile'),
dict(type='MultiScaleFlipAug',
img_scale=(608, 608),
flip=False,
transforms=[
dict(type='Resize', keep_ratio=True),
dict(type='RandomFlip'),
dict(type='Normalize',
mean=[0, 0, 0],
std=[255.0, 255.0, 255.0],
to_rgb=True),
dict(type='Pad', size_divisor=32),
dict(type='DefaultFormatBundle'),
dict(type='Collect', keys=['img'])
])
]
data = dict(test=dict(pipeline=test_pipeline))