| | |
| | dataset_type = 'PascalContextDataset59' |
| | data_root = 'data/VOCdevkit/VOC2010/' |
| | img_norm_cfg = dict( |
| | mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) |
| |
|
| | img_scale = (520, 520) |
| | crop_size = (480, 480) |
| |
|
| | train_pipeline = [ |
| | dict(type='LoadImageFromFile'), |
| | dict(type='LoadAnnotations', reduce_zero_label=True), |
| | dict(type='Resize', img_scale=img_scale, ratio_range=(0.5, 2.0)), |
| | dict(type='RandomCrop', crop_size=crop_size, cat_max_ratio=0.75), |
| | dict(type='RandomFlip', prob=0.5), |
| | dict(type='PhotoMetricDistortion'), |
| | dict(type='Normalize', **img_norm_cfg), |
| | dict(type='Pad', size=crop_size, pad_val=0, seg_pad_val=255), |
| | dict(type='DefaultFormatBundle'), |
| | dict(type='Collect', keys=['img', 'gt_semantic_seg']), |
| | ] |
| | test_pipeline = [ |
| | dict(type='LoadImageFromFile'), |
| | dict( |
| | type='MultiScaleFlipAug', |
| | img_scale=img_scale, |
| | |
| | flip=False, |
| | transforms=[ |
| | dict(type='Resize', keep_ratio=True), |
| | dict(type='RandomFlip'), |
| | dict(type='Normalize', **img_norm_cfg), |
| | dict(type='ImageToTensor', keys=['img']), |
| | dict(type='Collect', keys=['img']), |
| | ]) |
| | ] |
| | data = dict( |
| | samples_per_gpu=4, |
| | workers_per_gpu=4, |
| | train=dict( |
| | type=dataset_type, |
| | data_root=data_root, |
| | img_dir='JPEGImages', |
| | ann_dir='SegmentationClassContext', |
| | split='ImageSets/SegmentationContext/train.txt', |
| | pipeline=train_pipeline), |
| | val=dict( |
| | type=dataset_type, |
| | data_root=data_root, |
| | img_dir='JPEGImages', |
| | ann_dir='SegmentationClassContext', |
| | split='ImageSets/SegmentationContext/val.txt', |
| | pipeline=test_pipeline), |
| | test=dict( |
| | type=dataset_type, |
| | data_root=data_root, |
| | img_dir='JPEGImages', |
| | ann_dir='SegmentationClassContext', |
| | split='ImageSets/SegmentationContext/val.txt', |
| | pipeline=test_pipeline)) |
| |
|
