README.md

NeRF

Training Input

Multiple images for construct 3D model

(from https://drive.google.com/file/d/1P6KIDAr68twCJqcq2BJH6cgTOXXxAFIv/view?usp=sharing)

input shape: (3, 756, 1008)

Training Output

ONNX model contains 3D model information

Inference Input

Ray for rendering

Inference Output

Rendered image for one angle

Multiangle examples

Usage

Automatically downloads the onnx and prototxt files on the first run. It is necessary to be connected to the Internet while downloading.

For the sample image,

python3 nerf.py 

You can set rendering angle by --angle. The range is 0 to 119.

python3 nerf.py --angle 100

Downsampling factor to speed up rendering, set 4 or 8 for fast preview. Default is 4.

python3 nerf.py --render_factor 8

Reference

NeRF: Neural Radiance Fields

Framework

Tensorflow 1.15

Model Format

ONNX opset = 12

Netron

nerf.opt.onnx.prototxt