📝 updating the documentation

FORK.md

@@ -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
+wrapper COLMAP binary format data into the datastructure required by NeRF++.
-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.