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97 lines (92 loc) · 2.66 KB
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defaults:
- default.yaml
train_dataset:
_target_: mart.datamodules.fiftyone.FiftyOneDataset
dataset_name: ???
gt_field: "ground_truth_segmentations"
sample_tags: []
label_tags: []
transforms:
_target_: mart.transforms.Compose
transforms:
- _target_: torchvision.transforms.ToTensor
- _target_: mart.transforms.ConvertCocoPolysToMask
- _target_: mart.transforms.RandomHorizontalFlip
p: 0.5
- _target_: mart.transforms.Denormalize
center: 0
scale: 255
- _target_: torch.fake_quantize_per_tensor_affine
_partial_: true
# (x/1+0).round().clamp(0, 255) * 1
scale: 1
zero_point: 0
quant_min: 0
quant_max: 255
val_dataset:
_target_: mart.datamodules.fiftyone.FiftyOneDataset
dataset_name: ???
gt_field: ${..train_dataset.gt_field}
sample_tags: []
label_tags: []
transforms:
_target_: mart.transforms.Compose
transforms:
- _target_: torchvision.transforms.ToTensor
- _target_: mart.transforms.ConvertCocoPolysToMask
- _target_: mart.transforms.Denormalize
center: 0
scale: 255
- _target_: torch.fake_quantize_per_tensor_affine
_partial_: true
# (x/1+0).round().clamp(0, 255) * 1
scale: 1
zero_point: 0
quant_min: 0
quant_max: 255
test_dataset:
_target_: mart.datamodules.fiftyone.FiftyOneDataset
dataset_name: ???
gt_field: ${..train_dataset.gt_field}
sample_tags: []
label_tags: []
transforms:
_target_: mart.transforms.Compose
transforms:
- _target_: torchvision.transforms.ToTensor
- _target_: mart.transforms.ConvertCocoPolysToMask
- _target_: mart.transforms.Denormalize
center: 0
scale: 255
- _target_: torch.fake_quantize_per_tensor_affine
_partial_: true
# (x/1+0).round().clamp(0, 255) * 1
scale: 1
zero_point: 0
quant_min: 0
quant_max: 255
predict_dataset:
_target_: mart.datamodules.fiftyone.FiftyOneDataset
dataset_name: ???
gt_field: ${..train_dataset.gt_field}
sample_tags: []
label_tags: []
transforms:
_target_: mart.transforms.Compose
transforms:
- _target_: torchvision.transforms.ToTensor
- _target_: mart.transforms.ConvertCocoPolysToMask
- _target_: mart.transforms.Denormalize
center: 0
scale: 255
- _target_: torch.fake_quantize_per_tensor_affine
_partial_: true
# (x/1+0).round().clamp(0, 255) * 1
scale: 1
zero_point: 0
quant_min: 0
quant_max: 255
num_workers: 2
collate_fn:
_target_: hydra.utils.get_method
path: mart.datamodules.coco.collate_fn