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Build error
_base_ = './mask_rcnn_r50_fpn_1x_coco.py' | |
model = dict( | |
pretrained='open-mmlab://detectron2/resnet50_caffe', | |
backbone=dict(norm_cfg=dict(requires_grad=False), style='caffe')) | |
# use caffe img_norm | |
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_mask=True), | |
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', 'gt_labels', 'gt_masks']), | |
] | |
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)) | |