Closed Marlod390 closed 5 months ago
Thank you trying out the code.
Now the installation runs smoothly. For me i have to install lietorch using pip, otherwise it will report ImportError: cannot import name 'SE3' from 'lietorch'
. Anyway, the code produces good result on the demo video. Thanks a lot for your help!
E:\project\tram\thirdparty\DROID-SLAM\thirdparty\eigen\Eigen\src/Core/PlainObjectBase.h(963): error: function "Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>::operator=(const Eigen::Block<Eigen::Matrix<int, -1, 1, 0, -1, 1>, -1, -1, false> &) [with XprType=Eigen::Matrix<int, -1, 1, 0, -1, 1>, BlockRows=-1, BlockCols=-1, InnerPanel=false]" (declared implicitly) cannot be referenced -- it is a deleted function
Eigen have problems
Dear Authors,
Thanks for your work and releasing code. But I encountered some problems during installation and would like to ask for your help.
The first problem is about the installation of pytorch_scatter. If using
conda install pytorch-scatter -c pyg
, the lower versions of pytorch and cuda will be automatically installed. And commandpip install torch-scatter -f https://data.pyg.org/whl/torch-2.0.0+cu118.html
works fine on my PC.The second is about the installation of DROID-SLAM. Since the project relies on the old Eigen, a lot of compatibility errors were reported. I checked the original project and couldn't find a solution. If possible, could you please share some experience on installing DROID-SLAM? A error I encountered recently is
/usr/local/cuda-11.8/include/crt/common_functions.h:74:24: error: token ""__CUDACC_VER__ is no longer supported. Use __CUDACC_VER_MAJOR__, __CUDACC_VER_MINOR__, and __CUDACC_VER_BUILD__ instead."" is not valid in preprocessor expressions
Thanks in advance