message: doc: training update
diff: @@ -24,11 +24,11 @@ user. The toolkit consists of the following command-line scripts:
  - `split_exr.py`: Splits a multi-channel EXR image into multiple feature
  images.
  +- `convert_image.py`: Converts a feature image to a different image format.
  +
  - `compare_image.py`: Compares two feature images using the specified quality
  metrics.
  -- `convert_image.py`: Converts a feature image to a different image format.
  -
  Prerequisites
  -------------
  @@ -247,16 +247,25 @@ Example usage:
  ./export.py --result rt_hdr_alb
  ```
  -Image Comparison and Conversion
  +Image Conversion and Comparison
  -------------------------------
  In addition to the already mentioned `split_exr.py` script, the toolkit contains
  a few other image utilities as well.
  +`convert_image.py` converts a feature image to a different image format (and/or a
  +different feature, e.g. HDR color to LDR), performing tonemapping and other
  +transforms as well if needed. For HDR images the exposure can be adjusted by
  +passing a linear exposure scale (`-E` or `--exposure` option). Example usage:
  +
  +```console
  +./convert_image.py view1_0004.hdr.exr view1_0004.png --exposure 2.5
  +```
  +
  The `compare_image.py` script compares two feature images (preferably having the
  dataset filename format to correctly detect the feature) using the specified
  -image quality metrics, similar to the `infer.py` tool.
  +image quality metrics, similar to the `infer.py` tool. Example usage:
  -`convert_image.py` converts a feature image to a different image format (and/or a
  -different feature, e.g. HDR color to LDR), performing tonemapping and other
  -transforms as well if needed.
  \ No newline at end of file
  +```console
  +./compare_image.py view1_0004.hdr.exr view1_8192.hdr.exr --exposure 2.5 --metric mse ssim
  +```
  \ No newline at end of file
  