phoviet

Hello, First off, I want to thank you for sharing your amazing code with us. However, I noticed in your documentation that you mentioned, "[Note: Inference on CPU may take...

Hi, thank you for your amazing work. I ran your model using your pre-trained model, Afifi.pth. However, I am encountering some strange artifacts in the generated images. Due to privacy...

Hello, I'm interested in running your code (just for the inference) on my custom dataset . However, the custom dataset you describe seems to be constructed with 3D meshes, while...

Custom Dataset

6

hello, I'm really interested in running your code, but I would like to use my custom dataset. My dataset consists of images from a small room, captured using an iPad....

Performance discrepancy between local runs and hugging face demo

1

Hello, first of all, thank you for sharing your amazing work. However, I've noticed a difference in the results between the Hugging Face demo and running the demo.py code from...

### 📚 The doc issue Hi, I have a few questions regarding the commercial use of internvl2 models. 1. From what I understand, internvl2 models, including those used with LLaMA...

RuntimeError: DataLoader worker (pid(s) ****) exited unexpectedly

2

All I have are coord, color, and normal data. I converted my data to the S3DIS dataset format and saved them as .npy files to run the `s3dis/semseg-pt-v3m1-1-ppt-extreme` test. However,...

Inference time

4

Hi, Thanks a lot for sharing this amazing work. I'm quite new to LLM and VLM, and I tried running your 'InternLM-XComposer-2.5' model. I followed the provided 'InternLM-XComposer-2.5 with Transformers,...