I tried to use the extension in a colab enviornment, when contructing the cost volume with sh step1-run-mv.sh "An astronaut riding a horse" the execution runs into a loop with torch/serialization.persistent_laod() and torch/_utils._rebuild_tensor_v2.
maybe there are some underlying problems because the installation also does not work as described. Starting with the install for predicting source views:
conda create --name geodream_mv python=3.8 conda activate geodream_mv pip install torch torchvision --index-url https://download.pytorch.org/whl/cu118 pip install inplace_abn sudo apt-get install libsparsehash-dev pip install git+https://github.com/mit-han-lab/torchsparse.git@v1.4.0 pip install -r requirements.txt
The torchsparse link does not work and that was only part of the problems encountered when using the extension
I tried to use the extension in a colab enviornment, when contructing the cost volume with
sh step1-run-mv.sh "An astronaut riding a horse"the execution runs into a loop withtorch/serialization.persistent_laod()andtorch/_utils._rebuild_tensor_v2.maybe there are some underlying problems because the installation also does not work as described. Starting with the install for predicting source views:
conda create --name geodream_mv python=3.8 conda activate geodream_mv pip install torch torchvision --index-url https://download.pytorch.org/whl/cu118 pip install inplace_abn sudo apt-get install libsparsehash-dev pip install git+https://github.com/mit-han-lab/torchsparse.git@v1.4.0 pip install -r requirements.txtThe torchsparse link does not work and that was only part of the problems encountered when using the extension