READ
READ copied to clipboard
AAAI2023,implementation of "READ: Large-Scale Neural Scene Rendering for Autonomous Driving", the experimental results are significantly better than Nerf-based methods
Hi, When I follow the install guide, I met the error below. I run 'python viewer.py --config downloads/kitti6.yaml' in Mobaxtem. ``` READ_02$ python viewer_debug.py loading pointcloud... no normals in /READ/Data/image_kitti6_all_368/pointcloud.ply...
Hi, I am running on windows, and see this error when using train.py: ``` Traceback (most recent call last): File "D:\NERF\ROAD\READ-main\train.py", line 507, in pipeline.create(args) File "D:\NERF\ROAD\READ-main\READ\pipelines\ogl.py", line 86, in...
Thanks for your excellent work!!! But during running the codes in the folder src with the data offered by you(because I don't have a monitor), the evaluate loss are NAN....
When I run train.py in kitti6 dataset, I always encounter the following bugs, and I can't find the reason. Can you help me take a look? ds_train: 3000 ds_val: 82...
Hi, and thank you for making this available! Can I run this with multiple cameras, for example an overlapping 360 array? Would this improve accuracy? How does this code deal...
How can I modify this checkpoint to train on my own custom dataset? 
Great job!I'm having a bit of an issue with head mode. When I run python train.py --config configs/train_example.yaml --pipeline READ.pipelines.ogl.TexturePipeline --crop_size 256x256, I was able to train successfully and finish...
I use --headless, test with the pre-trained model on kitt6 dataset (image_kitti6_all_368.zip), and find that the accuracy does not match, I want to know which scene which dataset the pre-trained...
模型公布
非常棒的工作! 请问您是否可以公开在室外自动驾驶场景上训练的nerf模型? 由于我现在gpu资源受限没办法直接训练,我非常想试一试您优秀的工作。 谢谢你~
Sorry, I am a beginner and I am currently replicating your project. I want to obtain obj and other types of files after training, but I did not find such...