git clone https://github.com/MichaelFan01/STDC-Seg.git cd STDC-Seg Install dependencies: pip install -r requirements.txt Install PyCuda which is a dependency of TensorRT. Install TensorRT (v5.1.5.0): a library for high performance inference on NVIDIA GPUs with Python API. Usage 0. Prepare...
实验结果表明,STDC网络在ImageNet、Cityscapes和CamVid上取得了新的技术成果。具体来说,我们的STDC1-Seg50在一个NVIDIA GTX 1080Ti卡上以250.4 FPS的速度在Cityscapes测试集上实现71.9%的mIoU。在相同的实验设置下,我们的STDC2-Seg75以97.0 FPS的速度实现了76.8%的mIoU。 2、相关工作 2.1高效网络设计 模型设计在计算...
今天和大家分享CVPR2021中语义分割领域的一篇论文,论文标题及作者如下图所示: 论文下载地址:https://arxiv.org/abs/2104.13188 代码即将开源:https://github.com/MichaelFan01/STDC-Seg 0.动机 深度学习促进了计算机视觉领域中语义分割算法的发展;随着自动驾驶、视频监控等应用场景的迫切需求,面向终端的轻量化语义...
PP-LiteSeg31 RegSeg32 SegNet33 ShelfNet34 SQNet35 STDC36 SwiftNet37If you want to use encoder-decoder structure with pretrained encoders, you may refer to: segmentation-models-pytorch38. This repo also provides easy access to SMP. Just modify the config file to (e.g. if you want to trai...
segnext sem_fpn setr stdc README.md stdc.yml stdc1_512x1024_80k_cityscapes.py stdc1_in1k-pre_512x1024_80k_cityscapes.py stdc2_512x1024_80k_cityscapes.py stdc2_in1k-pre_512x1024_80k_cityscapes.py swin twins unet upernet vit demo docker docs mmseg projects requirements resources tests to...
今天和大家分享CVPR2021中语义分割领域的一篇论文,论文标题及作者如下图所示: 论文下载地址: https://arxiv.org/abs/2104.13188代码即将开源: https://github.com/MichaelFan01/STDC-Seg0.动机深度学习促进了…
.github EISeg Matting configs contrib deploy docs paddleseg core cvlibs datasets deploy models backbones __init__.py cae.py ghostnet.py hrformer.py hrnet.py lite_hrnet.py mix_transformer.py mobilenetv2.py mobilenetv3.py mscan.py resnet_vd.py shufflenetv2.py stdcnet.py strideformer.py swin...
/*#undef CRAY_STACKSEG_END*/ /*Define if you have alloca, as a function or macro.*/ #defineHAVE_ALLOCA1 /*Define if you have <alloca.h> and it should be used (not on Ultrix).*/ #defineHAVE_ALLOCA_H1 /*Define if you have the ANSI # stringizing operator in cpp.*/ ...
dilation rates. In addition, we propose a lightweight decoder that restores local information better than common alternatives. To demonstrate the effectiveness of our approach, our model RegSeg achieves competitive results on real-time Cityscapes and CamVid datasets. Using a T4 GPU with mixed ...
dilation rates. In addition, we propose a lightweight decoder that restores local information better than common alternatives. To demonstrate the effectiveness of our approach, our model RegSeg achieves competitive results on real-time Cityscapes and CamVid datasets. Using a T4 GPU with mixed ...