文件名称:RPNet-Pytorch:RPNet的pytorch工具
文件大小:15.88MB
文件格式:ZIP
更新时间:2024-05-23 09:06:45
Python
PyTorch-RPNet PyTorch实现 网络 细分结果 引用RPNet 如果它有助于您的研究,请在您的出版物中引用RPNet: @ARTICLE{8744483, author={X. {Chen} and X. {Lou} and L. {Bai} and J. {Han}}, journal={IEEE Transactions on Intelligent Transportation Systems}, title={Residual Pyramid Learning for Single-Shot Semantic Segmentation}, year={2019}, volume={}, number={}, pages={1-11}, keywords={Intelligent vehicles;real-time vision;scene understan
【文件预览】:
RPNet-Pytorch-master
----train.sh(260B)
----README.md(3KB)
----test.py(3KB)
----metric()
--------confusionmatrix.py(4KB)
--------iou.py(4KB)
--------__pycache__()
--------__init__.py(141B)
--------metric.py(245B)
----train.py(3KB)
----LICENSE(1KB)
----utils.py(5KB)
----models()
--------rpnet.py(6KB)
--------__pycache__()
----main.py(11KB)
----__pycache__()
--------train.cpython-36.pyc(3KB)
--------test.cpython-36.pyc(2KB)
--------transforms.cpython-36.pyc(3KB)
--------utils.cpython-36.pyc(4KB)
--------args.cpython-36.pyc(3KB)
----requirements.txt(188B)
----pictures()
--------1.png(201KB)
--------2.png(245KB)
----args.py(4KB)
----data()
--------camvid.py(5KB)
--------README.md(1KB)
--------Cityscapes()
--------utils.py(6KB)
--------__pycache__()
--------__init__.py(98B)
--------cityscapes.py(6KB)
----save()
--------RPNet_summary.txt(399B)
--------RPNet(21.35MB)
----transforms.py(3KB)