Spaces:
Runtime error
Runtime error
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)) | |