Sumant Tyagi

Results 32 issues of Sumant Tyagi

Please check the following error comes when try to run through command line in linux system ``` python run.py configs/instant-mesh-large.yaml examples/hatsune_miku.png --save_video Seed set to 42 Loading diffusion model ......

i am using OS: Ubuntu 18.04.3 LTS gcc version: 9.4.0 (Ubuntu 9.4.0-3ubuntu1~18.04) cmake: 3.24 libtorch:[libtorch-shared-with-deps-1.11.0+cu113.zip](https://download.pytorch.org/libtorch/cu113/libtorch-shared-with-deps-1.11.0%2Bcu113.zip) cuda: 11.3 cudnn - 8.2.1 ![image](https://user-images.githubusercontent.com/63983323/181709191-01f97795-1095-454f-828f-1db9f723e377.png) getting the above error ,is there something wrong with...

I am trying to train on very small dataset 24 images out of which 6 images are given for val. facing the below issue can you tell me what is...

i am trying the repo with building dataset , after running the clustering_mask few of the files generated are not in order and missing . ![image](https://user-images.githubusercontent.com/63983323/181299189-4a8b62c3-36fd-4656-a00e-e035433f10af.png) any solution for this...

In the config file i see texture resolution does it really helps in improving the quality of meshes generated ? Please comment what all these parameters mean ? 1. texture_resolution...

can you share the metrics of each class ? and also when you say the damage building is it from the fire , earthquake or hurricanes FEMA has all these...

we need to give the custom config file - https://github.com/google-research/google-research/blob/master/smerf/configs/mipnerf360/bicycle.gin lets like this , How do we decide the below values : ``` 1.smerf.internal.configs.Config.factor = ? is the image_scale factor...

@duckworthd this is being huge limitation as mentioned in paper : ![image](https://github.com/google-research/google-research/assets/63983323/a18eb6ee-b2ce-4eb7-b6eb-5cc24fdcc92a) - [ ] 1 are you gonna improve this or optimize the GPU consumption - [ ] 2...

Facing this bug when running the first cell of the colab_demo - Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image shared on the project_page https://www.shorturl.at/oORSY ```...

as soon we start to train a model after processing an images with comlap. below isssues are coming ``` ERROR:root:Path not found: /configs/360.gin Traceback (most recent call last): File "C:\Users\sum11525\Anaconda3\envs\nerfstudio1\lib\runpy.py",...