【Pytorch离线推理】【ErfNet模型】资料修改补充 一、问题现象(附报错日志上下文): 1、− 使用erfnet_pretrained.pth导出onnx文件。 运行pth2onnx.py脚本。 python ErfNet_pth2onnx.py erfnet_pretrained.pth ErfNet_origin.onnx 获得ErfNet_origin.onnx文件。 描述中 的脚本名 pth2onnx.py 和实际的ErfNet_pth...
voldemortX / pytorch-auto-drive Star 874 Code Issues Pull requests Discussions PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & ...
osmr/imgclsmob 2,993 Eromera/erfnet_pytorch 436 zh320/realtime-semantic-segmentatio… 164 Eromera/erfnet 119 Yuelong-Yu/ERFNet-Caffe 15 See all 13implementations Tasks Edit AddRemove Datasets CityscapesMFNetDensePASSDADA-seg Results from the Paper ...
code:PyTorch Abstract ERFNet可以看作是对ResNet结构的又一改变,同时也是对ENet的改进。相对ENet,其网络结构的改进,一方面是将residual module改成non-bottleneck module,同时内部全部使用1D的cov(非对称卷积)。另一方面,移除encode中的层和decode层之间的long-range链接,同时所有的downsampling模块都是一组并行的max poo...
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.) - xiaoyufenfei/Efficient-Segmentati
Finally, the network model is implemented based on PyTorch deep learning framework, and the proposed method is demonstrated by experiments, in which the model retraining method is adopted to learn and train it. The experimental results show that the proposed method improves the segmentation...
论文原文: ERFNet: Efficient Residual Factorized ConvNet for Real-time Semantic Segmentation code: PyTorch 作者开源的代码只有训练部分没有测试部分~ Abstract ERFNet可以看作是对ResNet结构的又一改变,同时也是对ENet的改进。相对ENet,其网络结构的改进,一方面... 查看原文 轻量级实时语义分割:ENet & ERFNet ...
Currently support speed testing on CUDA using PyTorch or on CPU using ONNX runtime. Please modify the variablemodewithin thisscriptaccordingly. Then run the following command CUDA_VISIBLE_DEVICES=0 python tools/test_speed.py Knowledge Distillation ...
PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help pytorchapextensorboardgtavfcnlane-detectionsemantic-segmentationpascal-voc...
NEW!! New PyTorch version is availableHERE Publications If you use this software in your research, please cite our publications: "Efficient ConvNet for Real-time Semantic Segmentation", E. Romera, J. M. Alvarez, L. M. Bergasa and R. Arroyo, IEEE Intelligent Vehicles Symposium (IV), pp....