6d4bd5d890
* Rate limiting changes This makes the following changes: * For logged in users, the rate limiting now applies to the device session rather than the remote IP address; * For non-logged in users, the rate limiting continues to apply to remote address as it does today; * It is now possible to add user IDs to the `exempt_user_ids` option under `rate_limiting` to exclude bots from rate limiting; * Admin and appservice users are now exempt from rate limiting by default. * Fix build with media API |
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|---|---|---|
| .. | ||
| fileutils | ||
| routing | ||
| storage | ||
| thumbnailer | ||
| types | ||
| bimg-96x96-crop.jpg | ||
| mediaapi.go | ||
| nfnt-96x96-crop.jpg | ||
| README.md | ||
Media API
This server is responsible for serving /media requests as per:
http://matrix.org/docs/spec/client_server/r0.2.0.html#id43
Scaling libraries
nfnt/resize (default)
Thumbnailing uses https://github.com/nfnt/resize by default which is a pure golang image scaling library relying on image codecs from the standard library. It is ISC-licensed.
It is multi-threaded and uses Lanczos3 so produces sharp images. Using Lanczos3 all the way makes it slower than some other approaches like bimg. (~845ms in total for pre-generating 32x32-crop, 96x96-crop, 320x240-scale, 640x480-scale and 800x600-scale from a given JPEG image on a given machine.)
See the sample below for image quality with nfnt/resize:
bimg (uses libvips C library)
Alternatively one can use go build -tags bimg to use bimg from https://github.com/h2non/bimg (MIT-licensed) which uses libvips from https://github.com/jcupitt/libvips (LGPL v2.1+ -licensed). libvips is a C library and must be installed/built separately. See the github page for details. Also note that libvips in turn has dependencies with a selection of FOSS licenses.
bimg and libvips have significantly better performance than nfnt/resize but produce slightly less-sharp images. bimg uses a box filter for downscaling to within about 200% of the target scale and then uses Lanczos3 for the last bit. This is a much faster approach but comes at the expense of sharpness. (~295ms in total for pre-generating 32x32-crop, 96x96-crop, 320x240-scale, 640x480-scale and 800x600-scale from a given JPEG image on a given machine.)
See the sample below for image quality with bimg:
