About this deal
Many blasters under the Mega series advertises a firing range of up to a hundred feet (thirty meters).
val|train}/metadata/': Image-specific image metadata saved as a torch file. Each image should have a corresponding metadata file with the following file format: {rgb_stem}.pt. Each metadata file should contain the following keys:This project aims for benchmarking several state-of-the-art large-scale radiance fields algorithms. We exchangely use terms "unbounded NeRF" and "large-scale NeRF" because we find the techniques behind them are closely related.
The BattleCamo Series is a sub-series part of the N-Strike Elite, and N-Strike Mega series, featuring "camo"-style repaints of blasters. The Nerf Halo MA40 is a motorized, clip-fed blaster that can fire 10 darts in a row from a 10-dart clip. Prime the blaster with the pump action Hold down the acceleration button to power up the blaster's motor, then press the trigger to fire 1 dart and press the trigger again to shoot another dart. The Nerf Halo MA40 can even be customized with Nerf accessories (not included) thanks to a rail riser that attaches to the blaster's tactical rail. Customers have been impressed with the looks of this nerf gun, whether they’re Halo fans are not, and particularly love the power and performance of the Nerf Halo MA40 dart blaster. Note: training with against full scale data will write hundreds of GBs / several TBs of shuffled data to disk. You can downsample the training data using train_scale_factor option.The codebase has been mainly tested against CUDA >= 11.1 and V100/2080 Ti/3090 Ti GPUs. 1080 Ti GPUs should work as well although training will be much slower. Pretrained Models Trained with 8 submodules (to compare with main paper) Instead of pursuing a big and complicated code system, we pursue a simple code repo with SOTA performance for unbounded NeRFs.