Anna1ximi
Anna1ximi
**When I run the command for visualization, I get this error:** load checkpoint from local path: pretrained/bevfusion-det.pth 0% 0/6019 [00:02
**When I run the command:** torchpack dist-run -np 4 python tools/train.py \ configs/nuscenes/det/transfusion/secfpn/camera+lidar/swint_v0p075/convfuser.yaml \ --model.encoders.camera.backbone.init_cfg.checkpoint pretrained/swint-nuimages-pretrained.pth \ --load_from pretrained/lidar-only-det.pth \ --run-dir output/bev_result/ **I get this problem:**  **And when I...
Hi, thank you for your great work! I have been reproducing your work recently and I would like to obtain your results for each scene in the Mipnerf360 dataset. I'll...
I noticed that you set the parameter "self.dist_thres = 10.". I was wondering how this value is determined, and how it could be adjusted for images of different resolutions? @zehaozhu...
When I run:python train.py --source_path dataset/nerf_llff_data/horns --model_path output/horns --eval --n_views 3 --sample_pseudo_interval 1,I encountered the following error message: MemoryError: std::bad_alloc: cudaErrorMemoryAllocation: out of memory  I use A40...
Hi, @arunmallya I'm currently working on reproducing your excellent GANcraft project. However, I encountered difficulties in accessing the dataset used in your work. Could you kindly share the dataset or...