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Here are 13 public repositories matching this topic...

wutianyiRosun / Segmentation.X

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Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation

cityscapes pascal-voc2012 pascal-context camvid sem-seg ins-seg pan-seg vid-seg

Updated Jan 8, 2020
Python

xiaoyufenfei / Efficient-Segmentation-Networks

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Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

computer-vision pytorch neural-networks segmentation image-segmentation semantic-segmentation cityscapes scene-understanding semantic-segmentation-models camvid real-time-semantic-segmentation efficient-segmentation-networks lightweight-semantic-segmentation driving-scene-understanding

Updated May 10, 2020
Python

davidtvs / PyTorch-ENet

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PyTorch implementation of ENet

pytorch enet cityscape camvid

Updated May 17, 2020
Python

wutianyiRosun / CGNet

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CGNet: A Light-weight Context Guided Network for Semantic Segmentation [arXiv preprint arXiv:1811.08201]

pytorch semantic-segmentation cityscapes camvid

Updated Apr 23, 2019
Python

DrSleep / nas-segm-pytorch

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Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19

real-time pytorch semantic-segmentation depth-estimation cityscapes neural-architecture-search camvid cvpr-2019 dense-per-pixel-tasks wacv2020

Updated May 22, 2020
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Reagan1311 / DABNet

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Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation (BMVC2019)

real-time pytorch semantic-segmentation cityscapes camvid

Updated Aug 1, 2019
Python

advaitsave / Multiclass-Semantic-Segmentation-CamVid

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mask and image not necessarily synchronized

johngrabner commented Feb 8, 2020

def read_images(img_dir):
   ...
   file_list = [f for f in os.listdir(img_dir) if os.path.isfile(os.path.join(img_dir, f))]
   frames_list = [file for file in file_list if ('_L' not in file) and ('txt' not in file)]
   masks_list = [file for file in file_list if ('_L' in file) and ('txt' not in file)]

adding

for i in range(10):
        print(f"{frames_list[i]} and {ma

MaybeShewill-CV / bisenetv2-tensorflow

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Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"

deep-learning semantic-segmentation cityscapes camvid bisenet real-time-semantic-segmentation tensorflow-segmentation bisenetv2