Comments (3)
I don't use BlurHash, but have the similar problem - huge memory leak when using imagecolorat()
function. I call imagecolorat()
for each pixel of the image (via two nested cycles, as at code example at first message) - it's required for my business logic process.
I process many images in cycle at one process, and I call imagedestroy()
after finish of each image processing, but unfortunately memory still leaked.
If I comment line with imagecolorat()
calling memory leak is disappear. So I think that after calling imagedestroy()
memory, used for store result of the imagecolorat()
work, still full of data and not purged until php-process was not finished or killed.
I have no idea what we can to do with that.
Added a little bit later:
When you are using unset, the memory will only be freed whenever garbage collector decides, but when you are setting a variable to a different value (null in this case), then you might get some memory freed of course with the cost of CPU.
So, I tried change my code from imagedestroy($resource)
to $resource = null
and memory leak was gone.
I hope this will be useful to someone.
from blurhash.
I think you're not meant to apply the algorithm onto a large image directly, it should be scaled down first as per README.
from blurhash.
I'm mot expert but as web going to support 4k and HIDPI more and more.we need higher resolution image .It would be better if we change algorythm to use stream or buffer for biger size images
from blurhash.
Related Issues (20)
- Publish Blurhash Kotlin (Gradle and/or Maven) HOT 1
- UMD version HOT 2
- It takes really long in typescript HOT 4
- Why decoded blurhash is so big? HOT 2
- Unclear on the algorithm's use of DCT
- Language-agnostic test suite HOT 1
- Dedicated repos for different implementations
- encode of blurhash is blocking the rendering of the react page HOT 2
- Different hashes for same picture HOT 4
- ES module import issue HOT 19
- Performance Issue? HOT 1
- Where is the Changelog HOT 2
- Grab average color? HOT 4
- Blurhashes on Roku HOT 1
- Decode produces massive image in dimensions HOT 2
- Blurash decode JS draw single line HOT 1
- BlurHash does not work when `privacy.resistFingerprinting` is enabled HOT 1
- Cloudinary compatibility HOT 1
- Reduce intensity of too dominant colors HOT 1
- Found a possible security concern HOT 1
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from blurhash.