abrilcf / mednerf

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Inference reconstruction using higher resolution images

jaykshirsagar05 opened this issue · comments

Hello,

I have trained a model using 512x512 images and I'm now attempting to perform model inference using the render_xray_ scripts. I am aware that reconstruction will require more GPU memory, so I have allocated 45GB of memory. However, I am still encountering out-of-memory errors. Can you suggest any approaches for performing inference on larger-resolution X-ray images?

I think maybe 512x512 image is too large, you may refer to stylenerf. But, did you every try 256x256? Does that work?