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This repository contains the code (PyTorch-1.0+,W.I.P.) for: "LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation" by Huijun Liu.
LightNet++ is an advanced version ofLightNet, which purpose to get more concise model design,smaller models, and better performance.

• MobileNetV2Plus: Modified MobileNetV2 (backbone)^[1,8] + DSASPPInPlaceABNBlock^[2,3] +Parallel Bottleneck Channel-Spatial Attention Block (PBCSABlock)^[6] + UnSharp Masking (USM) + Encoder-Decoder Arch.^[3] +InplaceABN^[4].

• ShuffleNetV2Plus: Modified ShuffleNetV2 (backbone)^[1,8] + DSASPPInPlaceABNBlock^[2,3] +Parallel Bottleneck Channel-Spatial Attention Block (PBCSABlock)^[6]+ UnSharp Masking (USM) + Encoder-Decoder Arch.^[3] +InplaceABN^[4].

• MixSeg-MixBiFPN: Modified MixNet (backbone)^[1,8] + MixBiFPNBlock^[2,3] + Encoder-Decoder Arch.^[3]

More aboutUSM(Unsharp Mask)-Operator Block see Repo:SharpPeleeNet

• Python3.6
• PyTorch(1.0.1+)
• inplace_abn
• apex: Tools for easy mixed precision and distributed training in Pytorch
• tensorboard
• tensorboardX
• tqdm

• Cityscapes
• Mapillary Vistas Dataset
• Berkeley Deep Drive (BDD100K)
• ApolloScape

• S.S.: Single Scale (1024x2048)