performance poor respect to libjpegturbo in tensorflow about rust-turbojpeg HOT 2 OPEN

for reference another and more simplistic implementation: https://github.com/stevenlovegrove/Pangolin/blob/master/components/pango_image/src/image_io_jpg.cpp

from rust-turbojpeg.

Hi, the TurboJPEG API used by this crate is a relatively thin wrapper around the libjpeg API, so it should not, by itself, cause degraded performance. It certainly should not make decompression 4x slower!

In the benchmark results that you refer to, the test image is very small and the reported times are in 10s of microseconds, which is so low that the benchmark might be strongly influenced by other factors besides raw decoding speed. For example, one way to make the comparison a bit more fair is to remove the file I/O from the equation by decoding from bytes that are already loaded into memory.

from rust-turbojpeg.