False memory leaks on Visual Studio with OpenCV and MFC is a known "false" problem. Even if the solution is easy a lot of people is looking for. This article shows the solution step by step.
In Memory Analysis-Part 1 we conclude that a std::queue of OpenCV Mats is memory effective. Here is a real test case of our pkQueueTS with one grabber and one processor threads. We will perform memory analysis to validate our preliminary conclusion about memory effectiveness and recycling.
A single lock, multiple producer/consumer (MPMC) thread safe queue with wait/timeout Pop. It also provides tools to manage elements like
cv::Mat and an interface for custom OnPush event handler.
Here is shown that both cv::Mat and Standard Library Containers work under memory recycling. We found that using std:queue as buffer for OpenCV Mat, memory requirements depends on size of the queue. We conclude that containers like std::queue can be used effectively as buffer for OpenCV Mats.
Raspberry PI is a wonderful system and OpenCV is an outstanding library for computer vision. Here is our how to install and configure OpenCV 3.2.0 for Python/C++ on a Raspberry PI 2 with Raspbian Jessie. On the Net there are many references on this subject, most of them have some missed point or reference to old versions.
Summary of Information regarding use of Cookie by PkLab webites. Please goto the Italian Version for the official agreement, continue on this page for main principles in English.
To display an OpenCV image or video into your own MFC interface in Visual C++ you can use GDI's function but keep care of details.
Clinical study for a software to be used as support to diagnoses of celiac disease with capsule endoscopy. The software, in prototype state, analyses the video from videocapsule and returns locations and score of relevant signs of disease.