![]() Now, download the libde265 release archive and following readme instructions, compile and install it: $ curl -L | tar zx $ cd libde265-1.0.3 $. Let’s create build folder there to download and track downloaded assets: $ cd /var/task & mkdir build & cd build We mounted the lambda source directory to /var/task, which’s where the lambda function deployed via AWS Console. That means we will need to build both those libraries first before building new ImageMagick binary. To be able to work with HEIF images, ImageMagick delegates it’s work to libheif library, which on itself depends on libde265 h.265 codec implementation. Note: AWS Lamba runtime (and this docker-emulated environment) already hasImage Magick installed as well as some dependencies ( libpng, libjpeg etc.) This simplifies the work we need to do since we just need to add support of libheif. There is NO WARRANTY, to the extent permitted by law. License GPLv3+: GNU GPL version 3 or later This is free software: you are free to change and redistribute it. We can quickly test our environment and ensure we can build our binaries: $ uname -a Linux 477c92edf189 4.9.125-linuxkit #1 SMP Fri Sep 7 08:20: x86_64 x86_64 x86_64 GNU/Linux $ whoami root $ make -version GNU Make 3.82 Built for x86_64-redhat-linux-gnu Copyright (C) 2010 Free Software Foundation, Inc. ![]() The command above pulls the pre-built docker image and opens a shell. So let's just spin up a new container with latest, for now, NodeJS runtime: $ docker run -it -v $PWD:/var/task lambci/lambda:build-nodejs8.10 bash The alternative is docker-lambda - a sandboxed local environment that replicates the live AWS Lambda environment almost identically. However, in most situation, you don’t need that. Of source, the best way to emulate AWS Lambda runtime is to create a new EC2 instance of Linux AMI and SSH there. Environment setupĪt first, we need to create a folder for our lambda function: $ mkdir aws-heic-converter & cd aws-heic-converter Since we want to convert HEIF images using AWS Lambda, we will need to compile those binaries in the same environment lambda will be running on (and it’s Linux AMI). Fortunately, we are able to compile a needed binary and upload it together with the lambda function. ![]() The main challenge here is that the default installation of ImageMagick doesn’t support HEIF, thus it is not available at AWS Lambda runtime by default. ImageMagick supports HEIF format, so that’s possible to do a simple conversion via NodeJS (or any other runtimes). In other words, HEIF is just better than JPEG. The HEIF format produces images with a smaller file size and higher image quality than the older JPEG standard. It’s a modern image format that is a replacement for JPEG, and often has the. (8.HEIF stands for High Efficient Image Format. Within my code, prepend the bin/ directory to $PATH, and prepend the lib/ directory to $LD_LIBRARY_PATH Bundle the bin/ and lib/ directories into my AWS Lambda function codeħ. Extract the 'magick' binary from /usr/local/bin (along with the appropriate symlinks)Ħ. ![]() Boot up and access an EC2 Amazon Linux instanceĤ. Thus, I have begun my quest in getting ImageMagick 7 to run on AWS Lambda.ġ. I have been using ImageMagick 6 just fine for the past few months, but have hit a situation where HDRI makes a significant difference in image quality. Since there is no way to control the system or environment that the instances are launched with, one must include all function dependencies within their function code, including application binaries, as well as set any necessary environment variables to prepend search paths. ĪWS Lambda comes with ImageMagick 6 pre-installed on their instances, which are running their own proprietary 'Amazon Linux' (appears to be a derivative of CentOS). You create a function in either Node.js or Python, connect it to an endpoint, this endpoint takes the payload of a request as input, processes this through the function, and returns a response (as well as executing any peripheral actions such as write to a database). ![]() 'AWS Lambda' is Amazon's microservice platform. ![]()
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