1.2 KiB
1.2 KiB
Progress: PyNamer - Image Resizing Implementation
Completed:
- Added Pillow dependency to
requirements.txt
. - Updated
pynamer.py
with image resizing functionality:- Renamed
_encode_image
to_resize_and_encode_image
. - Implemented image resizing logic using Pillow.
- Added proper error handling for image processing.
- Updated
generate_filename
to use the new method and set correct mime type.
- Renamed
- Updated
config.yaml
with new image resizing configuration options:resize_max_dimension
resize_format
- Created comprehensive memory bank documentation:
projectbrief.md
productContext.md
systemPatterns.md
techContext.md
activeContext.md
Remaining:
- Create
.clinerules
file. - Final testing and verification.
Issues/Notes:
- The implementation maintains backward compatibility with existing configurations.
- The default resize format is set to JPEG for better compression, but this may need adjustment for images with transparency.
- The LANCZOS resampling filter provides good quality for downscaling.
- Error handling has been improved to provide better feedback when image processing fails.