aleksa | small framework for writing Alexa Skills | SDK library

Adding the following code after your test_list I got the output you can see below. My code currently just checks that the heights of TR and TL are within a threshold (defaults to 2 pixel threshold). But you could modify it depending on your requirements. In _check_if_images_on_same_line you can change the rules as you like.

The "settable" allocator for cv::Mat is NOT a Boost Interprocess allocator.

It looks like it's gonna be "hard" to implement the cv::Matallocator interface to wrap one, as well.

This could be because the fancier allocators are intended for CUDA support, but I'm guessing a bit here.

So, I'd strongly suggest serializing. This should be okay unless you're dealing with giant matrices. See e.g.

• Serialization of cv::Mat giving strange result

Of course you can serialize to shared memory: https://www.boost.org/doc/libs/1_37_0/doc/html/interprocess/streams.html or https://www.boost.org/doc/libs/1_74_0/libs/iostreams/doc/quick_reference.html#devices

Now if you need large matrices (and they NEED to be OpenCV anyways) consider using existing CV allocators to allocate from an already existing contiguous buffer in your shared memory.

This could be as simple as just a vector > or, indeed array constructed inside shared memory (either managed (managed_shared_memory) or unmanaged (bip::mapped_region that works on top of bip::shared_memory_object).

Try iterate and render the prop conditionally to your avgRating.

The problem here is the dom is not loaded so the textarea is not available until the dom is not loaded. adding a window load listener for it will solve it.