📝 updating the documentation

master
otthorn 3 years ago
parent 0acee99124
commit cc9eb2cb4e

@ -21,7 +21,7 @@ pip3 install -r requirements.txt
You will also need [COLMAP](colmap.github.io/)
## How to run
### Dataset
First you need to create or find a dataset. A large set of images (at least 30,
more if you want a 360 degree reconstruction).
In order to maximise the quality of the reconstuction it is recommended to take
@ -34,6 +34,7 @@ with tools like ImageMagick (mogrify or convert)
mogrify -resize 800 *.jpg
```
### Camera pose estimation
Then use the wrapper colmap `colmap_runner/run_colmap.py`
First change the two lines corresponding to input and output at the end of the
@ -46,8 +47,7 @@ python3 run_colmap.py
```
Then you will need to use the `format_dataset.py` script to transform the
wrapper COLMAP binary format data into the datastructure requirements by
NeRF++.
wrapper COLMAP binary format data into the datastructure required by NeRF++.
You again need to change the `input_path` and `output_path`.
@ -55,6 +55,11 @@ You again need to change the `input_path` and `output_path`.
python3 format_dataset.py
```
Before training you can visualise your camera poses using the
`camera_visualizer/visualize_cameras.py` script.
### Training the model
You then need to create the configuration file, copying the example in
`configs` and tweaking the values to your need is recommended. Refer to the
help inside `ddp_train_nerf.py` if you need to understand a parameter.

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