Peng Lu 788b37f78f
[Feature] Support NYU depth estimation dataset (#3269)
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## Motivation

Please describe the motivation of this PR and the goal you want to
achieve through this PR.

## Modification

Please briefly describe what modification is made in this PR.
1. add `NYUDataset`class
2. add script to process NYU dataset
3. add transforms for loading depth map
4. add docs & unittest

## BC-breaking (Optional)

Does the modification introduce changes that break the
backward-compatibility of the downstream repos?
If so, please describe how it breaks the compatibility and how the
downstream projects should modify their code to keep compatibility with
this PR.

## Use cases (Optional)

If this PR introduces a new feature, it is better to list some use cases
here, and update the documentation.

## Checklist

1. Pre-commit or other linting tools are used to fix the potential lint
issues.
5. The modification is covered by complete unit tests. If not, please
add more unit test to ensure the correctness.
6. If the modification has potential influence on downstream projects,
this PR should be tested with downstream projects, like MMDet or
MMDet3D.
7. The documentation has been modified accordingly, like docstring or
example tutorials.
2023-08-17 11:39:44 +08:00

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Python

# Copyright (c) OpenMMLab. All rights reserved.
# yapf: disable
from .ade import ADE20KDataset
from .basesegdataset import BaseCDDataset, BaseSegDataset
from .bdd100k import BDD100KDataset
from .chase_db1 import ChaseDB1Dataset
from .cityscapes import CityscapesDataset
from .coco_stuff import COCOStuffDataset
from .dark_zurich import DarkZurichDataset
from .dataset_wrappers import MultiImageMixDataset
from .decathlon import DecathlonDataset
from .drive import DRIVEDataset
from .dsdl import DSDLSegDataset
from .hrf import HRFDataset
from .isaid import iSAIDDataset
from .isprs import ISPRSDataset
from .levir import LEVIRCDDataset
from .lip import LIPDataset
from .loveda import LoveDADataset
from .mapillary import MapillaryDataset_v1, MapillaryDataset_v2
from .night_driving import NightDrivingDataset
from .nyu import NYUDataset
from .pascal_context import PascalContextDataset, PascalContextDataset59
from .potsdam import PotsdamDataset
from .refuge import REFUGEDataset
from .stare import STAREDataset
from .synapse import SynapseDataset
# yapf: disable
from .transforms import (CLAHE, AdjustGamma, Albu, BioMedical3DPad,
BioMedical3DRandomCrop, BioMedical3DRandomFlip,
BioMedicalGaussianBlur, BioMedicalGaussianNoise,
BioMedicalRandomGamma, ConcatCDInput, GenerateEdge,
LoadAnnotations, LoadBiomedicalAnnotation,
LoadBiomedicalData, LoadBiomedicalImageFromFile,
LoadImageFromNDArray, LoadMultipleRSImageFromFile,
LoadSingleRSImageFromFile, PackSegInputs,
PhotoMetricDistortion, RandomCrop, RandomCutOut,
RandomMosaic, RandomRotate, RandomRotFlip, Rerange,
ResizeShortestEdge, ResizeToMultiple, RGB2Gray,
SegRescale)
from .voc import PascalVOCDataset
# yapf: enable
__all__ = [
'BaseSegDataset', 'BioMedical3DRandomCrop', 'BioMedical3DRandomFlip',
'CityscapesDataset', 'PascalVOCDataset', 'ADE20KDataset',
'PascalContextDataset', 'PascalContextDataset59', 'ChaseDB1Dataset',
'DRIVEDataset', 'HRFDataset', 'STAREDataset', 'DarkZurichDataset',
'NightDrivingDataset', 'COCOStuffDataset', 'LoveDADataset',
'MultiImageMixDataset', 'iSAIDDataset', 'ISPRSDataset', 'PotsdamDataset',
'LoadAnnotations', 'RandomCrop', 'SegRescale', 'PhotoMetricDistortion',
'RandomRotate', 'AdjustGamma', 'CLAHE', 'Rerange', 'RGB2Gray',
'RandomCutOut', 'RandomMosaic', 'PackSegInputs', 'ResizeToMultiple',
'LoadImageFromNDArray', 'LoadBiomedicalImageFromFile',
'LoadBiomedicalAnnotation', 'LoadBiomedicalData', 'GenerateEdge',
'DecathlonDataset', 'LIPDataset', 'ResizeShortestEdge',
'BioMedicalGaussianNoise', 'BioMedicalGaussianBlur',
'BioMedicalRandomGamma', 'BioMedical3DPad', 'RandomRotFlip',
'SynapseDataset', 'REFUGEDataset', 'MapillaryDataset_v1',
'MapillaryDataset_v2', 'Albu', 'LEVIRCDDataset',
'LoadMultipleRSImageFromFile', 'LoadSingleRSImageFromFile',
'ConcatCDInput', 'BaseCDDataset', 'DSDLSegDataset', 'BDD100KDataset',
'NYUDataset'
]