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Build error
_base_ = [ | |
'../_base_/models/mask_rcnn_r50_fpn.py', | |
'../_base_/datasets/lvis_v0.5_instance.py', | |
'../_base_/schedules/schedule_2x.py', '../_base_/default_runtime.py' | |
] | |
model = dict( | |
roi_head=dict( | |
bbox_head=dict(num_classes=1230), mask_head=dict(num_classes=1230)), | |
test_cfg=dict( | |
rcnn=dict( | |
score_thr=0.0001, | |
# LVIS allows up to 300 | |
max_per_img=300))) | |
img_norm_cfg = dict( | |
mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) | |
train_pipeline = [ | |
dict(type='LoadImageFromFile'), | |
dict(type='LoadAnnotations', with_bbox=True, with_mask=True), | |
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']), | |
] | |
data = dict(train=dict(dataset=dict(pipeline=train_pipeline))) | |