Open aleclloyd-jumbo opened 6 days ago
Please provide a minimal, standalone code sample, without other dependencies, that demonstrates this problem.
Please provide sample image(s) that help explain this problem.
async function save(fileName) { sharp(fileName) .trim() .toFile("/output/" + fileName); }
$ vipsheader "08715600249637_C1N1 - Original.tiff"
08715600249637_C1N1 - Original.tiff: 3600x3600 uchar, 5 bands, srgb, tiffload
This TIFF image has 2 alpha channels and the second of these is being used - please see https://github.com/lovell/sharp/issues/2266
Possible bug
Is this a possible bug in a feature of sharp, unrelated to installation?
npm install sharp
completes without error.node -e "require('sharp')"
completes without error.If you cannot confirm both of these, please open an installation issue instead.
Are you using the latest version of sharp?
sharp
as reported bynpm view sharp dist-tags.latest
.If you cannot confirm this, please upgrade to the latest version and try again before opening an issue.
If you are using another package which depends on a version of
sharp
that is not the latest, please open an issue against that package instead.What is the output of running
npx envinfo --binaries --system --npmPackages=sharp --npmGlobalPackages=sharp
?Does this problem relate to file caching?
The default behaviour of libvips is to cache input files, which can lead to
EBUSY
orEPERM
errors on Windows. Usesharp.cache(false)
to switch this feature off.sharp.cache(false)
does not fix this problem.Does this problem relate to images appearing to have been rotated by 90 degrees?
Images that contain EXIF Orientation metadata are not auto-oriented. By default, EXIF metadata is removed.
To auto-orient pixel values use the parameter-less
rotate()
operation.To retain EXIF Orientation use
keepExif()
.[ ] Using
rotate()
orkeepExif()
does not fix this problem.What are the steps to reproduce?
What is the expected behaviour?
Please provide a minimal, standalone code sample, without other dependencies, that demonstrates this problem
Please provide sample image(s) that help explain this problem