OpenMMLab Detection Toolbox and Benchmark
https://mmdetection.readthedocs.io/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
38 lines
1.3 KiB
38 lines
1.3 KiB
_base_ = [ |
|
'../_base_/models/rpn_r50_caffe_c4.py', |
|
'../_base_/datasets/coco_detection.py', |
|
'../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py' |
|
] |
|
# dataset settings |
|
img_norm_cfg = dict( |
|
mean=[103.530, 116.280, 123.675], std=[1.0, 1.0, 1.0], to_rgb=False) |
|
train_pipeline = [ |
|
dict(type='LoadImageFromFile'), |
|
dict(type='LoadAnnotations', with_bbox=True, with_label=False), |
|
dict(type='Resize', img_scale=(1333, 800), keep_ratio=True), |
|
dict(type='RandomFlip', flip_ratio=0.5), |
|
dict(type='Normalize', **img_norm_cfg), |
|
dict(type='Pad', size_divisor=32), |
|
dict(type='DefaultFormatBundle'), |
|
dict(type='Collect', keys=['img', 'gt_bboxes']), |
|
] |
|
test_pipeline = [ |
|
dict(type='LoadImageFromFile'), |
|
dict( |
|
type='MultiScaleFlipAug', |
|
img_scale=(1333, 800), |
|
flip=False, |
|
transforms=[ |
|
dict(type='Resize', keep_ratio=True), |
|
dict(type='RandomFlip'), |
|
dict(type='Normalize', **img_norm_cfg), |
|
dict(type='Pad', size_divisor=32), |
|
dict(type='ImageToTensor', keys=['img']), |
|
dict(type='Collect', keys=['img']), |
|
]) |
|
] |
|
data = dict( |
|
train=dict(pipeline=train_pipeline), |
|
val=dict(pipeline=test_pipeline), |
|
test=dict(pipeline=test_pipeline)) |
|
evaluation = dict(interval=1, metric='proposal_fast')
|
|
|