chenjianqu / raft_cpp Goto Github PK

我现在想在xavier（arm64）平台上部署该工程，现在遇到torchvision存在问题？ 我下载的数libtorch1.8，请问一下您可以提供一下从哪里下载与之匹配的torchvision源码链接，对其进行编译吗？目前我只找到了x86的torchvision源码。非常感谢

Hi there,

I didn't find any other possibility to contact you, so I created this issue.
Could you let me know why you decided to do three separate exports of the three submodels? Wouldn't it theoretically be possible to export the full RAFT model as it is and then let it run completely on a GPU?

I am asking as I am trying this at the moment, but am running in some problems during C++ Libtorch inference. Did you try this as well and did you run into similar problems?

Best
Christian

hi, thank you for your project!
may I ask if you modify the original RAFT Network in order to convert it to onnx ? because I found the input is fmap1, fmap2 = self.fnet([image1, image2],True), but the origin RAFT only input two images without the bool element 'True'.
Following the Readme.md, I just get the error below:

could you give me some help?
if you change the original RAFT code ,could you share what you have changed?