Pytorch Implementation of rpautrat/SuperPoint. Contribute to zebin-dm/SuperPoint-Pytorch development by creating an account on GitHub.
Superpoint Implemented in PyTorch:https://arxiv.org/abs/1712.07629 deep-learningdescriptorkittims-cocokeypoints-detectorhpatchessuperpoint UpdatedAug 11, 2023 Jupyter Notebook drprojects/superpoint_transformer Star781 Code Issues Pull requests Official PyTorch implementation of Superpoint Transformer introduced ...
grid_sample 是 PyTorch 中的一个函数,它用于根据给定的采样网格(grid)对输入张量进行采样。具体流程是首先将 grid 中的归一化坐标转换为输入张量的实际坐标。然后双线性插值对每个采样点,根据其在输入张量中的实际坐标,找到周围的四个像素点,计算插值权重。使用这些权重,对周围的像素值进行加权平均,以获得采样点的...
[5]code:https://github.com/MagicLeapResearch/SuperPointPretrainedNetwork [6]子像素卷积: https://blog.csdn.net/leviopku/article/details/84975282 [7]UCN: https://arxiv.org/abs/1606.03558 [8]SpatialGridSamplerBilinear:https://github.com/pytorch/pytorch/blob/f064c5aa33483061a48994608d890b968...
Chanan. PyTorch. https://github.com/pytorch/ pytorch. 6 [20] I. Rocco, R. Arandjelovic´, and J. Sivic. Convolutional neural network architecture for geometric matching. In CVPR, 2017. 2 [21] E. Rosten and T. Drummond. Machine learning for high-speed corner detection....
https://github.com/drprojects/superpoint_transformergithub.com/drprojects/superpoint_transformer Abstract 我们引入了一种新颖的基于超点的 Transformer 架构,用于大规模 3D 场景的高效语义分割。我们的方法采用了一种快速算法,将点云划分为分层超点结构,这使得我们的预处理速度比现有的基于超点的方法快 7 倍。
(torch.nn.Module):""" Pytorch definition of SuperPoint Network. """def__init__(self):super(SuperPointNet, self).__init__()self.relu = torch.nn.ReLU(inplace=True)self.pool = torch.nn.MaxPool2d(kernel_size=2, stride=2)c1, c2, c3, c4, c5, d1 =64,64,128,128,256,256# ...
代码地址:https://github.com/eric-yyjau/pytorch-superpoint下载代码存放到本地。 2.推理数据集下载 数据集地址http://icvl.ee.ic.ac.uk/vbalnt/hpatches/hpatches-sequences-release.tar.gz 数据集使用的是hpatches,放在datasets目录下。 3.模型文件(*.pth)下载 ...
git clone --recurse-submodules https://github.com/loicland/superpoint_graph 1.InstallPyTorchandtorchnet. pip install git+https://github.com/pytorch/tnt.git@master 2.Install additional Python packages: pip install future python-igraph tqdm transforms3d pynvrtc fastrlock cupy h5py sklearn plyfile...
We use Pytorch C++ API to implement SuperPoint model. It can be built as follows: git clone --recursive -b v1.0.1 https://github.com/pytorch/pytorch cd pytorch && mkdir build && cd build python ../tools/build_libtorch.py It may take quite a long time to download and build. Please ...