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Build error
_base_ = './mask_rcnn_r101_fpn_1x_coco.py' | |
model = dict( | |
pretrained='open-mmlab://detectron2/resnext101_32x8d', | |
backbone=dict( | |
type='ResNeXt', | |
depth=101, | |
groups=32, | |
base_width=8, | |
num_stages=4, | |
out_indices=(0, 1, 2, 3), | |
frozen_stages=1, | |
norm_cfg=dict(type='BN', requires_grad=False), | |
style='pytorch')) | |
dataset_type = 'CocoDataset' | |
data_root = 'data/coco/' | |
img_norm_cfg = dict( | |
mean=[103.530, 116.280, 123.675], | |
std=[57.375, 57.120, 58.395], | |
to_rgb=False) | |
train_pipeline = [ | |
dict(type='LoadImageFromFile'), | |
dict( | |
type='LoadAnnotations', | |
with_bbox=True, | |
with_mask=True, | |
poly2mask=False), | |
dict( | |
type='Resize', | |
img_scale=[(1333, 640), (1333, 672), (1333, 704), (1333, 736), | |
(1333, 768), (1333, 800)], | |
multiscale_mode='value', | |
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)) | |
lr_config = dict(step=[28, 34]) | |
runner = dict(type='EpochBasedRunner', max_epochs=36) | |