nuttx-apps/tools
cuiziwei 53cb2a947d apps/tools:fix build warning.
Signed-off-by: cuiziwei <cuiziwei@xiaomi.com>
2023-08-09 13:52:22 +08:00
..
bitmap_converter.py Remove unneeded semicolons and parentheses from Python files 2020-12-12 19:20:38 +01:00
check-hash.sh Fix the minor style issue 2022-10-16 19:07:16 +02:00
host_sysinfo.py system/nxdiag: Add Espressif's HAL version 2023-06-29 00:57:53 +08:00
mkimport.sh tools/mkimport: Add system map to mkimport script. 2023-06-30 16:18:44 +08:00
mkkconfig.bat tools: update licenses to Apache 2021-06-10 08:49:24 -05:00
mkkconfig.sh apps/tools:fix build warning. 2023-08-09 13:52:22 +08:00
mkromfsimg.sh romfsimg: add attribute to set minimum 4 bytes aignment for romfs image data 2022-01-28 00:02:45 +08:00
mksymtab.sh nshlib: Rename CONFIG_SYSTEM_NSH_SYMTAB to CONFIG_NSH_SYMTAB 2022-10-18 22:18:38 +02:00
pre-commit tools: add git pre-commit hook for apps 2022-08-14 14:06:10 +03:00
README.md tools/README.md: Fix typo and reflow paragraph 2022-09-09 01:08:33 +08:00
Wasm.mk tools: Raise error if wasm module build failed 2023-07-31 07:14:59 -07:00

Tools

NxWidgets bitmap_converter.py

This script converts from any image type supported by Python imaging library to the RLE-encoded format used by NxWidgets.

RLE (Run Length Encoding) is a very simply encoding that compress quite well with certain kinds of images: Images that that have many pixels of the same color adjacent on a row (like simple graphics). It does not work well with photographic images.

But even simple graphics may not encode compactly if, for example, they have been resized. Resizing an image can create hundreds of unique colors that may differ by only a bit or two in the RGB representation. This color smear is the result of pixel interpolation (and might be eliminated if your graphics software supports resizing via pixel replication instead of interpolation).

When a simple graphics image does not encode well, the symptom is that the resulting RLE data structures are quite large. The palette structure, in particular, may have hundreds of colors in it. There is a way to fix the graphic image in this case. Here is what I do (in fact, I do this on all images prior to conversion just to be certain):

  • Open the original image in GIMP.
  • Select the option to select the number of colors in the image.
  • Pick the smallest number of colors that will represent the image faithfully. For most simple graphic images this might be as few as 6 or 8 colors.
  • Save the image as PNG or other lossless format (NOT jpeg).
  • Then generate the image.