LightNet++

!!!New Repo.!!! ⇒ EfficientNet.PyTorch: Concise, Modular, Human-friendly PyTorch implementation of EfficientNet with Pre-trained Weights

!!!New Repo.!!! ⇒ MixNet-Pytorch: Concise, Modular, Human-friendly PyTorch implementation of MixNet with Pre-trained Weights

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 of LightNet, 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 about USM(Unsharp Mask)-Operator Block see Repo: SharpPeleeNet

Dependencies

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

Datasets for Autonomous Driving

Results

Results on Cityscapes (Pixel-level/Semantic Segmentation)

| Model | mIoU (S.S* Mixed Precision) |Model Weight| |---|---|---| |MobileNetV2Plus X1.0|71.5314 (WIP)|cityscapes_mobilenetv2plus_x1.0.pkl (14.3 MB)| |ShuffleNetV2Plus X1.0|69.0885-72.5255 (WIP)|cityscapes_shufflenetv2plus_x1.0.pkl (8.59 MB)| |MixSeg+MixBiFPN ArchS|72.2321 (WIP)|cityscapes_mixseg_archs_mixbifpn.pkl (16.4 MB)|

S.S.: Single Scale (1024x2048)

Feature Visualization

LightNetPlusPlus

Install / Use

README