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Thanks for your contribution and we appreciate it a lot. The following instructions would make your pull request more healthy and more easily get feedback. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers. ## Motivation Support depth estimation algorithm [VPD](https://github.com/wl-zhao/VPD) ## Modification 1. add VPD backbone 2. add VPD decoder head for depth estimation 3. add a new segmentor `DepthEstimator` based on `EncoderDecoder` for depth estimation 4. add an integrated metric that calculate common metrics in depth estimation 5. add SiLog loss for depth estimation 6. add config for VPD ## 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. 7. The modification is covered by complete unit tests. If not, please add more unit test to ensure the correctness. 8. If the modification has potential influence on downstream projects, this PR should be tested with downstream projects, like MMDet or MMDet3D. 9. The documentation has been modified accordingly, like docstring or example tutorials.
36 lines
1.2 KiB
Python
36 lines
1.2 KiB
Python
# Copyright (c) OpenMMLab. All rights reserved.
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from .beit import BEiT
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from .bisenetv1 import BiSeNetV1
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from .bisenetv2 import BiSeNetV2
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from .cgnet import CGNet
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from .ddrnet import DDRNet
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from .erfnet import ERFNet
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from .fast_scnn import FastSCNN
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from .hrnet import HRNet
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from .icnet import ICNet
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from .mae import MAE
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from .mit import MixVisionTransformer
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from .mobilenet_v2 import MobileNetV2
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from .mobilenet_v3 import MobileNetV3
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from .mscan import MSCAN
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from .pidnet import PIDNet
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from .resnest import ResNeSt
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from .resnet import ResNet, ResNetV1c, ResNetV1d
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from .resnext import ResNeXt
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from .stdc import STDCContextPathNet, STDCNet
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from .swin import SwinTransformer
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from .timm_backbone import TIMMBackbone
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from .twins import PCPVT, SVT
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from .unet import UNet
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from .vit import VisionTransformer
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from .vpd import VPD
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__all__ = [
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'ResNet', 'ResNetV1c', 'ResNetV1d', 'ResNeXt', 'HRNet', 'FastSCNN',
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'ResNeSt', 'MobileNetV2', 'UNet', 'CGNet', 'MobileNetV3',
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'VisionTransformer', 'SwinTransformer', 'MixVisionTransformer',
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'BiSeNetV1', 'BiSeNetV2', 'ICNet', 'TIMMBackbone', 'ERFNet', 'PCPVT',
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'SVT', 'STDCNet', 'STDCContextPathNet', 'BEiT', 'MAE', 'PIDNet', 'MSCAN',
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'DDRNet', 'VPD'
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]
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