Eckert
Eckert
@a123935132 How did you solve this problem? I meet a similar problem. How do you generate the camera file? Thanks for your time.
After install opencv3.4.5, run and got error: `./JointTG: error while loading shared libraries: libJointTexGeo.so.1: cannot open shared object file: No such file or directory` Is there somethings that I missed?
Well, I solve it by setting `export LD_LIBRARY_PATH=/.../JointTG/lib:$LD_LIBRARY_PATH`. In addition, there are also need to install `libomp5`: `apt-get install -y libomp5 libomp-dev freeglut3 freeglut3-dev libxi-dev libxmu-dev mesa-utils libgl1-mesa-glx pkg-config libxau-dev...
yes, we need to pre-process the depth map estimated by the depth estimation model, please refer the line 200 of [dataLoader](https://github.com/eckertzhang/Text2NeRF/blob/73c2745744fb26276aa7293fd9b7c4e9933977ae/dataLoader/scene_gen.py#L200) for more details.
Sorry for the inconvenience. Please change the 'pose_traj=circle0' to 'pose_traj=circle'. Here, 'circle0' was used for early code testing and has been discarded.
You can follow ECON's instruction to download associated weights of ECON. https://github.com/YuliangXiu/ECON/blob/master/fetch_data.sh
os.environ['WEIGHT_PATH'] should be updated as the weight path of pre-trained models, like stable diffusion and ECON.
The pre-trained model comes from hugging face ('https://huggingface.co/runwayml/stable-diffusion-v1-5’) and ECON ('https://github.com/YuliangXiu/ECON/blob/master/fetch_data.sh')
'TORCH_HOME' could be a local path to save weights of pre-trained models provided by pytorch. Actually, the default path is "/username/.cache/torch/hub/checkpoints".
‘contextual-loss-pytorch’ will not be used in the training/optimization stage. 'clip' can be download by: `pip install git+https://github.com/openai/CLIP.git`