[SuperGlue: Learning Feature Matching with Graph Neural Networks] This repo includes PyTorch code for training the SuperGlue matching network on top of SIFT keypoints and descriptors. pytorchsuperglue UpdatedOct 12, 2021 Python Multiview matching with deep-learning and hand-crafted local features for ...
A PyTorch implementation of SuperGlue. Contribute to borsukvasyl/SuperGlue development by creating an account on GitHub.
[SuperGlue: Learning Feature Matching with Graph Neural Networks] This repo includes PyTorch code for training the SuperGlue matching network on top of SIFT keypoints and descriptors. - GitHub - yingxin-jia/SuperGlue-pytorch: [SuperGlue: Learning Featur
(*input, **kwargs) File "/home/jhk/work code/SuperGlue-pytorch-master/models/superglue.py", line 83, in forward return self.encoder(torch.cat(inputs, dim=1)) File "/home/jhk/anaconda3/envs/openglue/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl...
While running the script by @skylook in the repo, following error occurs constantly Traceback (most recent call last): File "/home/shuhulh/superglue_train/train.py", line 180, in <module> for i, pred in enumerate(train_loader): File "/op...
您好!我发现多轮训练后会出现 Loss: nan 的情况,仔细看代码,有一点点不是特别明白想请教您:如下代码中计算loss时为何需要先exp()再求log呢?这里如果score[0][x][y]如果为0,就会出现loss等于nan的情况.另外,这里求loss与论文中似乎有点差别呢?期待您的解答. check if indexed correctly loss = [] for i...
该模型在PyTorch [38]中实现,包含12M参数,并在NVIDIA GTX 1080 GPU上实时运行:对于一个室内图像对,前向传播平均需要69 ms(15 FPS)。 训练细节: 为了进行数据增强,SuperPoint的检测和描述步骤在训练过程中作为批次进行。为了高效的批处理和增加的鲁棒性,还添加了一些随机关键点。
we made some improvements and tweaks that result in slightly different numbers than what was reported in the paper. The numbers and figures reported in the README were done using Ubuntu 16.04, OpenCV 3.4.5, and PyTorch 1.1.0. Even with matching the library versions, we observed some slight ...
PyTorch >= 1.1 OpenCV >= 3.4 (4.1.2.30 recommended for best GUI keyboard interaction, see this note) Matplotlib >= 3.1 NumPy >= 1.18 Simply run the following command: pip3 install numpy opencv-python torch matplotlib Contents There are two main top-level scripts in this repo: demo_superglu...
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...