Python：OpenCV Default optimization for

many OpenCV Functions are all used SSE2、AVX Etc . It also contains code that is not optimized .

therefore , If our system supports these features , We should use them ( Almost all modern processors support them ).

It is enabled by default at compile time .

therefore OpenCV Run optimized code when enabled , Otherwise run code that is not optimized .

have access to css . useoptimized() Check if it is enabled / Ban , Use css . setuseoptimized() Check if it is enabled / Ban .

Let's take a simple example .

# check if optimization is enabled
cv.useOptimized()
# result
True
%timeit res = cv.medianBlur(img,49)
# result
10 loops, best of 3: 34.9 ms per loop
# Disable it
cv.setUseOptimized(False)
cv.useOptimized()
# result
False
%timeit res = cv.medianBlur(img,49)
# result
10 loops, best of 3: 64.1 ms per loop

As you can see , The optimized median filter is faster than the unoptimized version 2 times .

If you check the source code , You can see that median filtering uses SIMD Optimize .

therefore , You can use it to enable optimization at the top of the code ( remember , It is enabled by default ).